Integrated Energy Systems: Nuclear Case Study using TEAL Cash Flows and RAVEN Synthetic Histories

In this notebook, we formulate a multi-period optimization problem that determines the optimal design of an integrated energy system producing electricity and hydrogen such that its net present value (NPV) is maximized for a given market signal. We consider an existing nuclear power plant of 1000 MW capcity as the genator. In general, due to safety restrictions, nuclear power plants are not amenable for ramping. Therefore, we assume that the power plant always operates at its base load (i.e., 1000 MW). We are interested in determining whether the following options are attractive (i.e., maximize NPV):

Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.
Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand.

Towards this, we formulate the superstructure shown in the figure below.

In the figure, arrows in red and blue denote that electricity and material, respectively, flows through them. ID denotes the name of the object containing the corresponding unit’s model in the code, and DD and OD stand for design decision and operating decision, respectively.

Here, we use a PEM (polymer electrolyte membrane) electrolyzer to produce hydrogen via water electrolysis. Current PEM technology requires ~54 kWh/kg of hydrogen (see https://www.h-tec.com/en/products/detail/h-tec-pem-electrolyser-me100-350/me100-350/ , last accessed on February 18, 2022). The produced hydrogen is stored in a tank, which can either be sold to the market via a pipeline, or combusted in a hydrogen turbine to produce electricity during the periods of high demand for electricity. Note that

The hydrogen tank is modeled as a simple inventory model i.e., only mass balance is enforced. The enthalpy balance is not included in the model. If needed, the SimplifiedHydrogenTank model in the flowsheet can be replaced with a more detailed tank model (the DISPATCHES repository has a more detailed tank model that enforces enthalpy balance as well).
The hydrogen turbine is modeled as a compressor, a stochiometric reactor, and a turbine connected in series.

In the flowsheet model, we use two different thermodynamic packages: one for the PEM electrolyzer and the hydrogen tank, and the other for the mixer and the hydrogen turbine. This is because, the material stream(s) to and from the former units only contain hydrogen. Whereas, the material stream(s) to and from the latter units contain nitrogen, oxygen, water and argon, in addition to hydrogen. The translator block facilitates the use of multiple thermodynamic packages by connecting properties across the packages.

Objective

For a given market signal, our objective is to determine the optimal design decisions,

Size of the PEM electrolyzer (pem_capacity: maximum rated capacity of the PEM electrolyzer, in MW)
Size of the hydrogen tank (tank_capacity: maximum amount of hydrogen that can be stored in the tank, in kg)
Size of the hydrogen turbine (turbine_capacity: maximum power the hydrogen turbine can produce, in MW)

and the optimal operating decisions,

Split fraction of electricity to the pem electrolyzer (m.fs.np_power_split.split_fraction["np_to_pem", 0])
Molar flowrate of hydrogen to the pipeline (m.fs.h2_tank.outlet_to_pipeline.flow_mol[0])
Molar flowrate of hydrogen to the turbine (m.fs.h2_tank.outlet_to_turbine.flow_mol[0])

which maximize the NPV.

RAVEN and TEAL Implementation

The Risk Analysis Virtual Environment (RAVEN) is a Python software developed at Idaho National Laboratory (INL) for probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovery. RAVEN offers a framework and helpful tools for stochastic optimization. Of primary importance to this notebook is the training and generation of synthetic time series from a reduced order model. RAVEN currently allows a user to train an auto-regressive moving average (ARMA) model based on historic time series to generate synthetic histories representative of the training sets.

The Tool for Economic Analysis (TEAL) Python software is a plugin for the RAVEN, also developed at INL. TEAL is aimed to contain and deploy complex economic analyses. It allows for a generic definition of cash flows, flexible options to deal with taxes, inflation, discounting, and offers capabilities to compute combined cashflows for components. It also enables the ability to compute different economic metrics: Net Present Value (NPV), Internal Rate of Return (IRR), and Profitability Index (PI). More information on TEAL can be found at https://github.com/idaholab/TEAL.

Installation

RAVEN and TEAL are offered as pip-installable packages within the DISPATCHES framework. To install both through pip, follow the steps below in an open terminal:

# install RAVEN
cd dispatches
pip install -r requirements-teal.txt

Helpful Intermediate Classes

In addition to RAVEN and TEAL, we have added two file to help interface between DISPATCHES and the RAVEN/TEAL toolset. These are found in the dispatches/util directory under: - syn_hist_integration.py for RAVEN ARMA synthetic history generation - teal_integration.py for TEAL cashflow generation

Next, we import the required packages and functions needed for the formulation of the optimization problem.

[1]:

# General python imports
import os
import json
import logging
import numpy as np

# Pyomo imports
from pyomo.environ import (
    ConcreteModel,
    RangeSet,
    Var,
    NonNegativeReals,
    Constraint,
    Expression,
    Objective,
    value,
    maximize,
    units as pyunits,
)

# IDAES imports
from idaes.core.solvers import get_solver
from idaes.core.util.model_statistics import degrees_of_freedom
from idaes.apps.grid_integration import MultiPeriodModel

# Nuclear flowsheet function imports
from dispatches.case_studies.nuclear_case.nuclear_flowsheet import (
    build_ne_flowsheet,
    fix_dof_and_initialize,
)

from dispatches.util import (
    build_econ_settings,
    build_TEAL_Component,
    calculate_TEAL_metrics,
    SynHist_integration,
)

PluginFactory: No installed plugins detected.

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Simulation of the Flowsheet

Before we formulate the multiperiod optimization problem, we first simulate the nuclear flowsheet and print some results. This helps the reader to familiarize themselves with the names, along with their default units, of a few important variables. The readers are encouraged to go through the nuclear_flowsheet.py script. It contains the function build_ne_flowsheet which assembles models for all the units in the flowsheet, and connects them via Arc objects. It also contains the function fix_dof_and_initialize which fixes the degrees of freedom and initializes the entire flowsheet.

The flowsheet has four degrees of freedom viz.,

Split fraction of electricity to the grid in the power splitter (variable m.fs.np_power_split.split_fraction["np_to_grid", 0] in the model). We fix this variable to 0.8.
Molar flowrate of hydrogen to the pipeline (variable m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]). We fix this variable to 10 mol/s.
Molar flowrate of hydrogen to the turbine (variable m.fs.h2_tank.outlet_to_turbine.flow_mol[0]). We fix this variable to 10 mol/s.
Initial holdup of hydrogen in the tank (variable m.fs.h2_tank.tank_holdup_previous[0]). We fix this variable to 0 mol.

These variables are fixed in the fix_dof_and_initialize function. In addition to the above three variables, we also fix the variables shown in the table below. We do not refer these variables as degrees of freedom, because they remain fixed at these values in the multiperiod optimization model.

Name	Variable	Value
Pressure difference across `h2_turbine`’s compressor	`m.fs.h2_turbine.compressor.deltaP`	24.01 bar
Isentropic efficiency of `h2_turbine`’s compressor	`m.fs.h2_turbine.compressor.efficiency_isentropic`	0.86
Conversion of hydrogen in `h2_turbine`’s reactor	`m.fs.h2_turbine.stoic_reactor.conversion`	0.99
Pressure deifference across `h2_turbine`’s turbine	`m.fs.h2_turbine.turbine.deltaP`	-24.01 bar
Isentripic efficiency of `h2_turbine`’s turbine	`m.fs.h2_turbine.turbine.efficiency_isentropic`	0.89
Molar flow rate of air to `h2_turbine`	`m.fs.mixer.air_feed.flow_mol[0]`	10.76 * molar flowrate of hydrogen to turbine
Temperature of air	`m.fs.mixer.air_feed.temperature[0]`	300 K
Pressure of air	`m.fs.mixer.air_feed_pressure[0]`	1.01325 bar
Duration of the simulation for `h2_tank`	`m.fs.h2_tank.dt`	3600 s

[2]:

# Build the nuclear flowsheet with the capacity of the power plant as 1000 MW
m = build_ne_flowsheet(np_capacity=1000)

# Fix the degrees of freedom and initialize
fix_dof_and_initialize(
    m,
    split_frac_grid=0.8,
    tank_holdup_previous=0,
    flow_mol_to_pipeline=10,
    flow_mol_to_turbine=10,
)

# Ensure that the resulting model is a square problem i.e., its degrees of freedom must be 0
print("Degrees of freedom: ", degrees_of_freedom(m))
assert degrees_of_freedom(m) == 0

# Create a solver object with the default solver (IPOPT)
solver = get_solver()

# Simulate the entire flowsheet
solver.solve(m, tee=True)

2023-03-15 21:23:52 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.
Degrees of freedom:  0
Ipopt 3.13.2: nlp_scaling_method=gradient-based
tol=1e-06


******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
 Ipopt is released as open source code under the Eclipse Public License (EPL).
         For more information visit http://projects.coin-or.org/Ipopt

This version of Ipopt was compiled from source code available at
    https://github.com/IDAES/Ipopt as part of the Institute for the Design of
    Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE
    Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.

This version of Ipopt was compiled using HSL, a collection of Fortran codes
    for large-scale scientific computation.  All technical papers, sales and
    publicity material resulting from use of the HSL codes within IPOPT must
    contain the following acknowledgement:
        HSL, a collection of Fortran codes for large-scale scientific
        computation. See http://www.hsl.rl.ac.uk.
******************************************************************************

This is Ipopt version 3.13.2, running with linear solver ma27.

Number of nonzeros in equality constraint Jacobian...:      593
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:      204

Total number of variables............................:      215
                     variables with only lower bounds:       20
                variables with lower and upper bounds:      180
                     variables with only upper bounds:        0
Total number of equality constraints.................:      215
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  0.0000000e+00 5.55e+04 1.00e+00  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  0.0000000e+00 3.49e-08 2.36e-01  -1.0 9.80e-03    -  9.90e-01 1.00e+00h  1

Number of Iterations....: 1

                                   (scaled)                 (unscaled)
Objective...............:   0.0000000000000000e+00    0.0000000000000000e+00
Dual infeasibility......:   0.0000000000000000e+00    0.0000000000000000e+00
Constraint violation....:   4.6566128730773926e-10    3.4924596548080444e-08
Complementarity.........:   0.0000000000000000e+00    0.0000000000000000e+00
Overall NLP error.......:   4.6566128730773926e-10    3.4924596548080444e-08


Number of objective function evaluations             = 2
Number of objective gradient evaluations             = 2
Number of equality constraint evaluations            = 2
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 2
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 1
Total CPU secs in IPOPT (w/o function evaluations)   =      0.008
Total CPU secs in NLP function evaluations           =      0.000

EXIT: Optimal Solution Found.

[2]:

{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.15090703964233398}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}

Verify that IPOPT converges to the optimal solution. Next, we print some results. Note the names of the variables and their default units (we use Pyomo’s units, imported as pyunits, to obtain the units of a variable). Units are needed to correctly define the cash flow expressions later.

[3]:

def get_units(obj):
    return str(pyunits.get_units(obj))

# Print results: power splitter
print("Nuclear plant power production : ", m.fs.np_power_split.electricity[0].value,
      get_units(m.fs.np_power_split.electricity[0]))
print("Electricity to grid            : ", m.fs.np_power_split.np_to_grid_port.electricity[0].value,
      get_units(m.fs.np_power_split.np_to_grid_port.electricity[0]))
print("Electricity to PEM             : ", m.fs.np_power_split.np_to_pem_port.electricity[0].value,
      get_units(m.fs.np_power_split.np_to_pem_port.electricity[0]))
print()

# Print results: PEM electrolyzer
print("Flowrate of H2 from pem        : ", m.fs.pem.outlet.flow_mol[0].value,
      get_units(m.fs.pem.outlet.flow_mol[0]))
print()

# Print results: Hydrogen tank
print("Flowrate of H2 to tank         : ", m.fs.h2_tank.inlet.flow_mol[0].value,
      get_units(m.fs.h2_tank.inlet.flow_mol[0]))
print("Flowrate of H2 to pipeline     : ", m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].value,
      get_units(m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]))
print("Flowrate of H2 to turbine      : ", m.fs.h2_tank.outlet_to_turbine.flow_mol[0].value,
      get_units(m.fs.h2_tank.outlet_to_turbine.flow_mol[0]))
print("Initial tank holdup            : ", m.fs.h2_tank.tank_holdup_previous[0].value,
      get_units(m.fs.h2_tank.tank_holdup_previous[0]))
print("Tank holdup at the end of 1 hr : ", m.fs.h2_tank.tank_holdup[0].value,
      get_units(m.fs.h2_tank.tank_holdup[0]))

# Print results: Hydrogen Turbine
print("H2 Turbine's compressor work   : ", m.fs.h2_turbine.compressor.work_mechanical[0].value,
      get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))
print("H2 Turbine's turbine work      : ", m.fs.h2_turbine.turbine.work_mechanical[0].value,
      get_units(m.fs.h2_turbine.turbine.work_mechanical[0]))
print("Net power produced by turbine  : ", -value(m.fs.h2_turbine.work_mechanical[0]),
      get_units(m.fs.h2_turbine.work_mechanical[0]))

Nuclear plant power production :  1000000.0 kW
Electricity to grid            :  800000.0 kW
Electricity to PEM             :  200000.0 kW

Flowrate of H2 from pem        :  505.48119999999994 mol/s

Flowrate of H2 to tank         :  505.48119999999994 mol/s
Flowrate of H2 to pipeline     :  10 mol/s
Flowrate of H2 to turbine      :  10 mol/s
Initial tank holdup            :  0 mol
Tank holdup at the end of 1 hr :  1747732.3199999998 mol
H2 Turbine's compressor work   :  1764604.5955977982 kg*m**2/s**3
H2 Turbine's turbine work      :  -2672169.1262004385 kg*m**2/s**3
Net power produced by turbine  :  907564.5306026402 kg*m**2/s**3

Observe that the power variables in the power splitter model and the PEM electrolyzer model use kW. Whereas, the power variables (mechanical work) use in the hydrogen turbine model use W. This complete the simulation of the flowsheet. Before proceeding further, we delete the object m to avoid confusion

[4]:

# Delete the object containing the flowsheet
del m

Multiperiod Optimization Model: Deterministic

Now, we formulate the multi-period price-taker problem to determine the optimal design and operating decisions maximizing the NPV. The optimization problem is of the form

\[\begin{split} \begin{aligned} \max_{D, u_{t, d}} \quad & \text{NPV}(D, u_{t, d})\\ & g(u_{t, d}) = 0, & & \forall \; t \in \mathcal{T}; \; \forall \; d \in \mathcal{C} \\ & h(u_{t, d}) \le 0, & & \forall \; t \in \mathcal{T}; \; \forall \; d \in \mathcal{C} \\ & f(u_{t-1,d}, u_{t,d}) = 0, & & \forall \; t \in \mathcal{T}; \; \forall \; d \in \mathcal{C} \\ & u_{t,d} \le D, & & \forall \; t \in \mathcal{T}; \; \forall \; d \in \mathcal{C} \end{aligned}\end{split}\]

Here, the sets $\mathcal{T} = \{1, \dots, 24\}$ and $\mathcal{C} = \{1, \dots, 20\}$ denote the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (pem_capacity), tank (tank_capacity) and the turbine (turbine_capacity). $u_{t, d}$ denotes the operating decisions (or, second-stage decisions) at time $t$ of day/cluster $d$. $g(u_{t, d}) = 0$ and $h(u_{t,d}) \le 0$ denote the flowsheet model, $f(u_{t-1,d}, u_{t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{t,d} \le D$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity).

LMP Signal

Our objective is to determine the optimal size of the PEM, tank and turbine maximizing the NPV for a given ‘market signal’. Throughout the notebook, by market signal or price signal, we refer to the locational marginal price (LMP) (selling price of electricity, in $/MWh) as a function of time. The LMP depends on several factors such as weather, demand, generator mix of the grid, and so forth. Owing to the uncertain nature of some those factors, it is not possible to predict the exact value of the LMP way into the future. Nevertheless, in this section, we assume that the LMP signal is accurate (i.e., there is no uncertainty in the price). Later, we show how the same framework/workflow can be used to easily formulate a stochastic program to handle the uncertainty in the price signal.

Sampling from a Trained ARMA Model

In previous notebooks, LMP data was taken from a file called lmp_signal.json. That dataset was generated using the FORCE toolset provided by Idaho National Lab. In particular, RAVEN (https://github.com/idaholab/raven) was used to train an auto-regressive moving average (ARMA) model based on price data from 2019/2020 New York Independent System Operator (NYISO). The JSON file contained several sampled scenarios (or synthetic histories) generated from that ARMA model.

Here, we allow the user to sample from any trained ARMA model from RAVEN. An ARMA model is provided as an example in the \ARMA_Model subdirectory, please note that this model is meant for demonstration only (no meaningful conclusions should be made from simulation results). RAVEN divides the 365 days of a year into a specified number of clusters (20, in our case), and generates the LMP signal for each cluster (Note that the LMP signal is the same for all the days of a cluster). The figure below plots the LMP signal for cluster 1 (left) and cluster 8.

As evident from the figure, the price can vary significantly in a day, and from cluster to cluster. Given the variation, we are interested in determining if producing hydrogen, especially during the periods when LMP is low, is attractive or not.

Also note that ARMA models occasionally go through minor structural changes; be sure to update RAVEN and retrain the ARMA model when such changes are implemented. Details and workshop examples on how to train an ARMA model can be found at: https://github.com/idaholab/raven/tree/devel/doc/workshop/ARMA.

Training an ARMA Model

To train an ARMA model three things are needed: 1. Training data sets (in the form of CSV files) 2. a pointer to all the data sets (also a CSV with each requisite data file as a new row) 3. a RAVEN XML input script with requirements for the model and a pointer to the training data sets

An example of all the above three can be found within the \ARMA_Model subdirectory. To create the ARMA model, run the following steps in an open terminal:

# run RAVEN
cd <ARMA_Model-subdirectory>
raven_framework ARMA_train.xml

Alternatively, run the cell below.

[5]:

# Get the path to the ARMA_train.xml file
cwd = os.getcwd()
arma_xml_file = cwd + "\\ARMA_Model\\ARMA_train.xml"

[6]:

# Run RAVEN. The exclaimation point implies that run this line as a shell command
!raven_framework $arma_xml_file

C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\matplotlib\__init__.py:169: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
if LooseVersion(module.__version__) < minver:
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\setuptools\_distutils\version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
other = LooseVersion(other)
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\xarray\core\pycompat.py:37: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
duck_array_version = LooseVersion("0.0.0")
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\setuptools\_distutils\version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
other = LooseVersion(other)
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\xarray\core\npcompat.py:89: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
if LooseVersion(np.__version__) >= "1.20.0":
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\xarray\core\pdcompat.py:45: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
if LooseVersion(pd.__version__) < "0.25.0":
PySide2/__init__.py: Unable to import shiboken2 from C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\ray\thirdparty_files, C:\Users\Radhakrishna\.conda\envs\teal-int-test\Scripts\raven_framework.exe, C:\Users\Radhakrishna\.conda\envs\teal-int-test\python38.zip, C:\Users\Radhakrishna\.conda\envs\teal-int-test\DLLs, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib, C:\Users\Radhakrishna\.conda\envs\teal-int-test, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages, c:\users\radhakrishna\desktop\code_repositories\dispatches, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\win32, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\win32\lib, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\Pythonwin, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\ravenframework, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\IPython\extensions
PySide2/__init__.py: Unable to import shiboken2 from C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\ray\thirdparty_files, C:\Users\Radhakrishna\.conda\envs\teal-int-test\Scripts\raven_framework.exe, C:\Users\Radhakrishna\.conda\envs\teal-int-test\python38.zip, C:\Users\Radhakrishna\.conda\envs\teal-int-test\DLLs, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib, C:\Users\Radhakrishna\.conda\envs\teal-int-test, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages, c:\users\radhakrishna\desktop\code_repositories\dispatches, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\win32, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\win32\lib, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\Pythonwin, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\ravenframework, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\IPython\extensions
PySide2/__init__.py: Unable to import shiboken2 from C:\Users\Radhakrishna\.conda\envs\teal-int-test\Lib\site-packages\AMSC, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\ray\thirdparty_files, C:\Users\Radhakrishna\.conda\envs\teal-int-test\Scripts\raven_framework.exe, C:\Users\Radhakrishna\.conda\envs\teal-int-test\python38.zip, C:\Users\Radhakrishna\.conda\envs\teal-int-test\DLLs, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib, C:\Users\Radhakrishna\.conda\envs\teal-int-test, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages, c:\users\radhakrishna\desktop\code_repositories\dispatches, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\win32, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\win32\lib, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\Pythonwin, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\ravenframework, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\IPython\extensions
PySide2/__init__.py: Unable to import shiboken2 from C:\Users\Radhakrishna\.conda\envs\teal-int-test\Lib\site-packages\AMSC, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\ray\thirdparty_files, C:\Users\Radhakrishna\.conda\envs\teal-int-test\Scripts\raven_framework.exe, C:\Users\Radhakrishna\.conda\envs\teal-int-test\python38.zip, C:\Users\Radhakrishna\.conda\envs\teal-int-test\DLLs, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib, C:\Users\Radhakrishna\.conda\envs\teal-int-test, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages, c:\users\radhakrishna\desktop\code_repositories\dispatches, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\win32, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\win32\lib, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\Pythonwin, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\ravenframework, C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\IPython\extensions
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\xarray\core\pycompat.py:37: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
duck_array_version = LooseVersion("0.0.0")
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\statsmodels\tsa\statespace\sarimax.py:978: UserWarning: Non-invertible starting MA parameters found. Using zeros as starting parameters.
warn('Non-invertible starting MA parameters found.'
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\statsmodels\tsa\statespace\sarimax.py:978: UserWarning: Non-invertible starting MA parameters found. Using zeros as starting parameters.
warn('Non-invertible starting MA parameters found.'
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(
C:\Users\Radhakrishna\.conda\envs\teal-int-test\lib\site-packages\sklearn\linear_model\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.
warnings.warn(


Copyright 2017 Battelle Energy Alliance, LLC

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.


~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

      .---.        .------######       #####     ###   ###  ########  ###    ###
     /     \  __  /    --###  ###    ###  ###   ###   ###  ###       #####  ###
    / /     \(  )/    --###  ###    ###   ###  ###   ###  ######    ### ######
   //////   ' \/ `   --#######     #########  ###   ###  ###       ###  #####
  //// / // :    :   -###   ###   ###   ###    ######   ####      ###   ####
 // /   /  /`    '---###    ###  ###   ###      ###    ########  ###    ###
//          //..\\
===========UU====UU=============================================================
           '//||\\`
             ''``

PluginFactory: No installed plugins detected.
(    0.01 sec) SIMULATION               : Message         -> Global verbosity level is "debug"
(    0.01 sec) SIMULATION               : DEBUG           -> -- Reading the block: Files --
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "Input" named "input" ...
(    0.01 sec) UserGenerated File       : DEBUG           -> ------Reading Completed for:
(    0.01 sec) UserGenerated File       : DEBUG           ->        Class          : UserGenerated   from <class 'ravenframework.Files.File'>
(    0.01 sec) UserGenerated File       : DEBUG           ->        Type           : UserGenerated
(    0.01 sec) UserGenerated File       : DEBUG           ->        Name           : input
(    0.01 sec) UserGenerated File       : DEBUG           ->        Initialization Parameters:
(    0.01 sec) UserGenerated File       : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "Input" named "pk" ...
(    0.01 sec) UserGenerated File       : DEBUG           -> ------Reading Completed for:
(    0.01 sec) UserGenerated File       : DEBUG           ->        Class          : UserGenerated   from <class 'ravenframework.Files.File'>
(    0.01 sec) UserGenerated File       : DEBUG           ->        Type           : UserGenerated
(    0.01 sec) UserGenerated File       : DEBUG           ->        Name           : pk
(    0.01 sec) UserGenerated File       : DEBUG           ->        Initialization Parameters:
(    0.01 sec) UserGenerated File       : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> -- Reading the block: Steps --
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "IOStep" named "load" ...
(    0.01 sec) STEP IOCOMBINED          : DEBUG           -> move this tests to base class when it is ready for all the classes
(    0.01 sec) STEP IOCOMBINED          : DEBUG           -> ------Reading Completed for:
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Class          : IOStep          from <class 'ravenframework.Steps.Step.Step'>
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Type           : IOStep
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Name           : load
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Initialization Parameters:
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Sleep time     : 0.005
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Initial seed   : None
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Input          : Class: Files Type:   Global name: input
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Output         : Class: OutStreams Type: Print  Global name: test1
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "RomTrainer" named "train" ...
(    0.01 sec) STEP ROM TRAINER         : DEBUG           -> move this tests to base class when it is ready for all the classes
(    0.01 sec) STEP ROM TRAINER         : DEBUG           -> ------Reading Completed for:
(    0.01 sec) STEP ROM TRAINER         : DEBUG           ->        Class          : RomTrainer      from <class 'ravenframework.Steps.Step.Step'>
(    0.01 sec) STEP ROM TRAINER         : DEBUG           ->        Type           : RomTrainer
(    0.01 sec) STEP ROM TRAINER         : DEBUG           ->        Name           : train
(    0.01 sec) STEP ROM TRAINER         : DEBUG           ->        Initialization Parameters:
(    0.01 sec) STEP ROM TRAINER         : DEBUG           ->        Sleep time     : 0.005
(    0.01 sec) STEP ROM TRAINER         : DEBUG           ->        Initial seed   : None
(    0.01 sec) STEP ROM TRAINER         : DEBUG           ->        Input          : Class: DataObjects Type: HistorySet  Global name: input
(    0.01 sec) STEP ROM TRAINER         : DEBUG           ->        Output         : Class: Models Type: ROM  Global name: arma
(    0.01 sec) STEP ROM TRAINER         : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "IOStep" named "meta" ...
(    0.01 sec) STEP IOCOMBINED          : DEBUG           -> move this tests to base class when it is ready for all the classes
(    0.01 sec) STEP IOCOMBINED          : DEBUG           -> ------Reading Completed for:
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Class          : IOStep          from <class 'ravenframework.Steps.Step.Step'>
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Type           : IOStep
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Name           : meta
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Initialization Parameters:
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Sleep time     : 0.005
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Initial seed   : None
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Input          : Class: Models Type: ROM  Global name: arma
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Output         : Class: OutStreams Type: Print  Global name: romMeta
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "IOStep" named "serialize" ...
(    0.01 sec) STEP IOCOMBINED          : DEBUG           -> move this tests to base class when it is ready for all the classes
(    0.01 sec) STEP IOCOMBINED          : DEBUG           -> ------Reading Completed for:
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Class          : IOStep          from <class 'ravenframework.Steps.Step.Step'>
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Type           : IOStep
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Name           : serialize
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Initialization Parameters:
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Sleep time     : 0.005
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Initial seed   : None
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Input          : Class: Models Type: ROM  Global name: arma
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Output         : Class: Files Type:   Global name: pk
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "MultiRun" named "sample" ...
(    0.01 sec) STEP MULTIRUN            : DEBUG           -> move this tests to base class when it is ready for all the classes
(    0.01 sec) STEP MULTIRUN            : DEBUG           -> the mapping used in the model for checking the compatibility of usage should be more similar to self.parList to avoid the double mapping below FIXME
(    0.01 sec) STEP MULTIRUN            : DEBUG           -> reactivate check on Input as soon as loadCsv gets out from the PostProcessor models!
(    0.01 sec) STEP MULTIRUN            : DEBUG           -> ------Reading Completed for:
(    0.01 sec) STEP MULTIRUN            : DEBUG           ->        Class          : MultiRun        from <class 'ravenframework.Steps.SingleRun.SingleRun'>
(    0.01 sec) STEP MULTIRUN            : DEBUG           ->        Type           : MultiRun
(    0.01 sec) STEP MULTIRUN            : DEBUG           ->        Name           : sample
(    0.01 sec) STEP MULTIRUN            : DEBUG           ->        Initialization Parameters:
(    0.01 sec) STEP MULTIRUN            : DEBUG           ->        Sleep time     : 0.005
(    0.01 sec) STEP MULTIRUN            : DEBUG           ->        Initial seed   : None
(    0.01 sec) STEP MULTIRUN            : DEBUG           ->        Input          : Class: DataObjects Type: PointSet  Global name: placeholder
(    0.01 sec) STEP MULTIRUN            : DEBUG           ->        Model          : Class: Models Type: ROM  Global name: arma
(    0.01 sec) STEP MULTIRUN            : DEBUG           ->        Sampler        : Class: Samplers Type: MonteCarlo  Global name: mc
(    0.01 sec) STEP MULTIRUN            : DEBUG           ->        Output         : Class: OutStreams Type: Print  Global name: synthetic
(    0.01 sec) STEP MULTIRUN            : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "IOStep" named "plotting" ...
(    0.01 sec) STEP IOCOMBINED          : DEBUG           -> move this tests to base class when it is ready for all the classes
(    0.01 sec) STEP IOCOMBINED          : DEBUG           -> ------Reading Completed for:
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Class          : IOStep          from <class 'ravenframework.Steps.Step.Step'>
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Type           : IOStep
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Name           : plotting
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Initialization Parameters:
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Sleep time     : 0.005
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Initial seed   : None
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Input          : Class: DataObjects Type: HistorySet  Global name: synthetic
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Output         : Class: OutStreams Type: Plot  Global name: plotters
(    0.01 sec) STEP IOCOMBINED          : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> -- Reading the block: DataObjects --
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "PointSet" named "placeholder" ...
InputData: Using param spec "DataSet" to read XML node "PointSet.
(    0.01 sec) PointSet                 : DEBUG           -> ------Reading Completed for:
(    0.01 sec) PointSet                 : DEBUG           ->        Class          : PointSet        from <class 'ravenframework.DataObjects.DataSet.DataSet'>
(    0.01 sec) PointSet                 : DEBUG           ->        Type           : PointSet
(    0.01 sec) PointSet                 : DEBUG           ->        Name           : placeholder
(    0.01 sec) PointSet                 : DEBUG           ->        Initialization Parameters:
(    0.01 sec) PointSet                 : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "HistorySet" named "input" ...
InputData: Using param spec "DataSet" to read XML node "HistorySet.
(    0.01 sec) HistorySet               : DEBUG           -> ------Reading Completed for:
(    0.01 sec) HistorySet               : DEBUG           ->        Class          : HistorySet      from <class 'ravenframework.DataObjects.DataSet.DataSet'>
(    0.01 sec) HistorySet               : DEBUG           ->        Type           : HistorySet
(    0.01 sec) HistorySet               : DEBUG           ->        Name           : input
(    0.01 sec) HistorySet               : DEBUG           ->        Initialization Parameters:
(    0.01 sec) HistorySet               : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "DataSet" named "synthetic" ...
(    0.01 sec) DataSet                  : DEBUG           -> ------Reading Completed for:
(    0.01 sec) DataSet                  : DEBUG           ->        Class          : DataSet         from <class 'ravenframework.DataObjects.DataObject.DataObject'>
(    0.01 sec) DataSet                  : DEBUG           ->        Type           : DataSet
(    0.01 sec) DataSet                  : DEBUG           ->        Name           : synthetic
(    0.01 sec) DataSet                  : DEBUG           ->        Initialization Parameters:
(    0.01 sec) DataSet                  : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "DataSet" named "meta" ...
(    0.01 sec) DataSet                  : DEBUG           -> ------Reading Completed for:
(    0.01 sec) DataSet                  : DEBUG           ->        Class          : DataSet         from <class 'ravenframework.DataObjects.DataObject.DataObject'>
(    0.01 sec) DataSet                  : DEBUG           ->        Type           : DataSet
(    0.01 sec) DataSet                  : DEBUG           ->        Name           : meta
(    0.01 sec) DataSet                  : DEBUG           ->        Initialization Parameters:
(    0.01 sec) DataSet                  : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> -- Reading the block: Models --
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "ROM" named "arma" ...
INPUT SPEC ERROR adding checked and unchecked to pivotParameter  in  ARMA len 1
INPUT SPEC ERROR adding checked and unchecked to alias  in  ROM len 1
INPUT SPEC ERROR adding checked and unchecked to pivotParameter  in  ROM len 1
INPUT SPEC ERROR adding checked and unchecked to Features  in  ROM len 1
INPUT SPEC ERROR adding checked and unchecked to Target  in  ROM len 1
INPUT SPEC ERROR adding checked and unchecked to CV  in  ROM len 1
INPUT SPEC ERROR adding checked and unchecked to pivotParameter  in  ARMA len 1
InputData: Using param spec "ARMA" to read XML node "ROM.
(    0.01 sec) ARMA                     : DEBUG           -> Setting ARMA seed to 42
(    0.01 sec) ARMA                     : DEBUG           -> setting general Fourier settings for "hour"
(    0.01 sec) ARMA                     : DEBUG           -> setting general Fourier settings for "price"
(    0.01 sec) Clustered ROM            : DEBUG           -> Clustered ROM evaluation mode set to "full"
(    0.01 sec) Clustered ROM            : Message         -> No evaluationClusterChoice specified for clustered ROM, so defaulting to "first".
(    0.01 sec) ROM MODEL                : DEBUG           -> ------Reading Completed for:
(    0.01 sec) ROM MODEL                : DEBUG           ->        Class          : ROM             from <class 'ravenframework.Models.Dummy.Dummy'>
(    0.01 sec) ROM MODEL                : DEBUG           ->        Type           : ROM
(    0.01 sec) ROM MODEL                : DEBUG           ->        Name           : arma
(    0.01 sec) ROM MODEL                : DEBUG           ->        Initialization Parameters:
(    0.01 sec) ROM MODEL                : DEBUG           ->        returnType     :
(    0.01 sec) ROM MODEL                : DEBUG           ->        qualityEstType : []
(    0.01 sec) ROM MODEL                : DEBUG           ->        Features       : ['scaling']
(    0.01 sec) ROM MODEL                : DEBUG           ->        Target         : ['price', 'hour']
(    0.01 sec) ROM MODEL                : DEBUG           ->        Current Setting:
(    0.01 sec) SIMULATION               : DEBUG           -> Reading class "PostProcessor" named "classifier" ...
InputData: Using param spec "DataMining" to read XML node "PostProcessor.
(    0.17 sec) POSTPROCESSOR MODEL      : DEBUG           -> ------Reading Completed for:
(    0.17 sec) POSTPROCESSOR MODEL      : DEBUG           ->        Class          : PostProcessor   from <class 'ravenframework.Models.Model.Model'>
(    0.17 sec) POSTPROCESSOR MODEL      : DEBUG           ->        Type           : PostProcessor
(    0.17 sec) POSTPROCESSOR MODEL      : DEBUG           ->        Name           : classifier
(    0.17 sec) POSTPROCESSOR MODEL      : DEBUG           ->        Initialization Parameters:
(    0.17 sec) POSTPROCESSOR MODEL      : DEBUG           ->        subType        : DataMining
(    0.17 sec) POSTPROCESSOR MODEL      : DEBUG           ->        Current Setting:
(    0.17 sec) SIMULATION               : DEBUG           -> -- Reading the block: OutStreams --
(    0.17 sec) SIMULATION               : DEBUG           -> Reading class "Print" named "romMeta" ...
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           -> ------Reading Completed for:
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Class          : FilePrint       from <class 'ravenframework.OutStreams.PrintInterfaces.PrintInterface.PrintInterface'>
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Type           : OutStreamFilePrint
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Name           : romMeta
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Initialization Parameters:
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Current Setting:
(    0.17 sec) PrintEntity              : DEBUG           -> ------Reading Completed for:
(    0.17 sec) PrintEntity              : DEBUG           ->        Class          : Print           from <class 'ravenframework.OutStreams.OutStreamEntity.OutStreamEntity'>
(    0.17 sec) PrintEntity              : DEBUG           ->        Type           : Print
(    0.17 sec) PrintEntity              : DEBUG           ->        Name           : romMeta
(    0.17 sec) PrintEntity              : DEBUG           ->        Initialization Parameters:
(    0.17 sec) PrintEntity              : DEBUG           ->        Source Name 0 :: meta
(    0.17 sec) PrintEntity              : DEBUG           ->        Current Setting:
(    0.17 sec) PrintEntity              : DEBUG           -> ------Reading Completed for:
(    0.17 sec) PrintEntity              : DEBUG           ->        Class          : Print           from <class 'ravenframework.OutStreams.OutStreamEntity.OutStreamEntity'>
(    0.17 sec) PrintEntity              : DEBUG           ->        Type           : Print
(    0.17 sec) PrintEntity              : DEBUG           ->        Name           : romMeta
(    0.17 sec) PrintEntity              : DEBUG           ->        Initialization Parameters:
(    0.17 sec) PrintEntity              : DEBUG           ->        Source Name 0 :: meta
(    0.17 sec) PrintEntity              : DEBUG           ->        Current Setting:
(    0.17 sec) SIMULATION               : DEBUG           -> Reading class "Print" named "test1" ...
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           -> ------Reading Completed for:
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Class          : FilePrint       from <class 'ravenframework.OutStreams.PrintInterfaces.PrintInterface.PrintInterface'>
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Type           : OutStreamFilePrint
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Name           : test1
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Initialization Parameters:
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Current Setting:
(    0.17 sec) PrintEntity              : DEBUG           -> ------Reading Completed for:
(    0.17 sec) PrintEntity              : DEBUG           ->        Class          : Print           from <class 'ravenframework.OutStreams.OutStreamEntity.OutStreamEntity'>
(    0.17 sec) PrintEntity              : DEBUG           ->        Type           : Print
(    0.17 sec) PrintEntity              : DEBUG           ->        Name           : test1
(    0.17 sec) PrintEntity              : DEBUG           ->        Initialization Parameters:
(    0.17 sec) PrintEntity              : DEBUG           ->        Source Name 0 :: input
(    0.17 sec) PrintEntity              : DEBUG           ->        Current Setting:
(    0.17 sec) PrintEntity              : DEBUG           -> ------Reading Completed for:
(    0.17 sec) PrintEntity              : DEBUG           ->        Class          : Print           from <class 'ravenframework.OutStreams.OutStreamEntity.OutStreamEntity'>
(    0.17 sec) PrintEntity              : DEBUG           ->        Type           : Print
(    0.17 sec) PrintEntity              : DEBUG           ->        Name           : test1
(    0.17 sec) PrintEntity              : DEBUG           ->        Initialization Parameters:
(    0.17 sec) PrintEntity              : DEBUG           ->        Source Name 0 :: input
(    0.17 sec) PrintEntity              : DEBUG           ->        Current Setting:
(    0.17 sec) SIMULATION               : DEBUG           -> Reading class "Print" named "test2" ...
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           -> ------Reading Completed for:
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Class          : FilePrint       from <class 'ravenframework.OutStreams.PrintInterfaces.PrintInterface.PrintInterface'>
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Type           : OutStreamFilePrint
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Name           : test2
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Initialization Parameters:
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Current Setting:
(    0.17 sec) PrintEntity              : DEBUG           -> ------Reading Completed for:
(    0.17 sec) PrintEntity              : DEBUG           ->        Class          : Print           from <class 'ravenframework.OutStreams.OutStreamEntity.OutStreamEntity'>
(    0.17 sec) PrintEntity              : DEBUG           ->        Type           : Print
(    0.17 sec) PrintEntity              : DEBUG           ->        Name           : test2
(    0.17 sec) PrintEntity              : DEBUG           ->        Initialization Parameters:
(    0.17 sec) PrintEntity              : DEBUG           ->        Source Name 0 :: placeholder
(    0.17 sec) PrintEntity              : DEBUG           ->        Current Setting:
(    0.17 sec) PrintEntity              : DEBUG           -> ------Reading Completed for:
(    0.17 sec) PrintEntity              : DEBUG           ->        Class          : Print           from <class 'ravenframework.OutStreams.OutStreamEntity.OutStreamEntity'>
(    0.17 sec) PrintEntity              : DEBUG           ->        Type           : Print
(    0.17 sec) PrintEntity              : DEBUG           ->        Name           : test2
(    0.17 sec) PrintEntity              : DEBUG           ->        Initialization Parameters:
(    0.17 sec) PrintEntity              : DEBUG           ->        Source Name 0 :: placeholder
(    0.17 sec) PrintEntity              : DEBUG           ->        Current Setting:
(    0.17 sec) SIMULATION               : DEBUG           -> Reading class "Print" named "synthetic" ...
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           -> ------Reading Completed for:
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Class          : FilePrint       from <class 'ravenframework.OutStreams.PrintInterfaces.PrintInterface.PrintInterface'>
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Type           : OutStreamFilePrint
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Name           : synthetic
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Initialization Parameters:
(    0.17 sec) OUTSTREAM PRINT          : DEBUG           ->        Current Setting:
(    0.17 sec) PrintEntity              : DEBUG           -> ------Reading Completed for:
(    0.17 sec) PrintEntity              : DEBUG           ->        Class          : Print           from <class 'ravenframework.OutStreams.OutStreamEntity.OutStreamEntity'>
(    0.17 sec) PrintEntity              : DEBUG           ->        Type           : Print
(    0.17 sec) PrintEntity              : DEBUG           ->        Name           : synthetic
(    0.17 sec) PrintEntity              : DEBUG           ->        Initialization Parameters:
(    0.17 sec) PrintEntity              : DEBUG           ->        Source Name 0 :: synthetic
(    0.17 sec) PrintEntity              : DEBUG           ->        Current Setting:
(    0.17 sec) PrintEntity              : DEBUG           -> ------Reading Completed for:
(    0.17 sec) PrintEntity              : DEBUG           ->        Class          : Print           from <class 'ravenframework.OutStreams.OutStreamEntity.OutStreamEntity'>
(    0.17 sec) PrintEntity              : DEBUG           ->        Type           : Print
(    0.17 sec) PrintEntity              : DEBUG           ->        Name           : synthetic
(    0.17 sec) PrintEntity              : DEBUG           ->        Initialization Parameters:
(    0.17 sec) PrintEntity              : DEBUG           ->        Source Name 0 :: synthetic
(    0.17 sec) PrintEntity              : DEBUG           ->        Current Setting:
(    0.17 sec) SIMULATION               : DEBUG           -> Reading class "Plot" named "plotters" ...
(    0.17 sec) OptPath Plot             : DEBUG           -> ------Reading Completed for:
(    0.17 sec) OptPath Plot             : DEBUG           ->        Class          : SyntheticCloud  from <class 'ravenframework.OutStreams.PlotInterfaces.PlotInterface.PlotInterface'>
(    0.17 sec) OptPath Plot             : DEBUG           ->        Type           : SyntheticCloud
(    0.17 sec) OptPath Plot             : DEBUG           ->        Name           : plotters
(    0.17 sec) OptPath Plot             : DEBUG           ->        Initialization Parameters:
(    0.17 sec) OptPath Plot             : DEBUG           ->        Global Class Type                  : Plotter
(    0.17 sec) OptPath Plot             : DEBUG           ->        Specialized Class Type             : SyntheticCloud
(    0.17 sec) OptPath Plot             : DEBUG           ->        Overwrite output everytime called: True
(    0.17 sec) OptPath Plot             : DEBUG           ->        Current Setting:
(    0.17 sec) PlotEntity               : DEBUG           -> ------Reading Completed for:
(    0.17 sec) PlotEntity               : DEBUG           ->        Class          : Plot            from <class 'ravenframework.OutStreams.OutStreamEntity.OutStreamEntity'>
(    0.17 sec) PlotEntity               : DEBUG           ->        Type           : Plot
(    0.17 sec) PlotEntity               : DEBUG           ->        Name           : plotters
(    0.17 sec) PlotEntity               : DEBUG           ->        Initialization Parameters:
(    0.17 sec) PlotEntity               : DEBUG           ->        Global Class Type                  : Plotter
(    0.17 sec) PlotEntity               : DEBUG           ->        Specialized Class Type             : SyntheticCloud
(    0.17 sec) PlotEntity               : DEBUG           ->        Overwrite output everytime called: False
(    0.17 sec) PlotEntity               : DEBUG           ->        Current Setting:
(    0.17 sec) PlotEntity               : DEBUG           -> ------Reading Completed for:
(    0.17 sec) PlotEntity               : DEBUG           ->        Class          : Plot            from <class 'ravenframework.OutStreams.OutStreamEntity.OutStreamEntity'>
(    0.17 sec) PlotEntity               : DEBUG           ->        Type           : Plot
(    0.17 sec) PlotEntity               : DEBUG           ->        Name           : plotters
(    0.17 sec) PlotEntity               : DEBUG           ->        Initialization Parameters:
(    0.17 sec) PlotEntity               : DEBUG           ->        Global Class Type                  : Plotter
(    0.17 sec) PlotEntity               : DEBUG           ->        Specialized Class Type             : SyntheticCloud
(    0.17 sec) PlotEntity               : DEBUG           ->        Overwrite output everytime called: False
(    0.17 sec) PlotEntity               : DEBUG           ->        Current Setting:
(    0.17 sec) SIMULATION               : DEBUG           -> -- Reading the block: Samplers --
(    0.17 sec) SIMULATION               : DEBUG           -> Reading class "MonteCarlo" named "mc" ...
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           -> ------Reading Completed for:
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           ->        Class          : MonteCarlo      from <class 'ravenframework.Samplers.Sampler.Sampler'>
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           ->        Type           : MonteCarlo
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           ->        Name           : mc
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           ->        Initialization Parameters:
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           ->        limit          : 1
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           ->        initial seed   : 42
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           ->        Current Setting:
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           ->        counter        : 0
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           ->        initial seed   : 42
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           ->        SampledVarsPb  : {}
(    0.17 sec) SAMPLER MONTECARLO       : DEBUG           ->        crowDist       : {}
(    0.17 sec) SIMULATION               : DEBUG           -> Moving to working directory: c:\Users\Radhakrishna\Desktop\code_repositories\dispatches\dispatches\case_studies\nuclear_case\ARMA_Model\output
(    0.17 sec) Job Handler              : DEBUG           -> Setting maxQueueSize to 1
(    0.17 sec) Job Handler              : DEBUG           -> JobHandler initialized with threading
(    0.00 sec) SIMULATION               : Message         -> Simulation started at 2023-03-15 21:24:02
(    0.00 sec) SIMULATION               : DEBUG           -> entering the run
(    0.00 sec) SIMULATION               : Message         -> -- Beginning IOStep step "load" ... --
(    0.00 sec) STEP IOCOMBINED          : Message         -> ***  Beginning initialization ***
(    0.00 sec) STEP IOCOMBINED          : DEBUG           -> jobHandler initialized
(    0.00 sec) STEP IOCOMBINED          : DEBUG           -> for the role Output the item of class Print and name test1 has been initialized
(    0.00 sec) STEP IOCOMBINED          : Message         -> ***    Initialization done    ***
(    0.00 sec) STEP IOCOMBINED          : Message         -> ***       Beginning run       ***
(    0.03 sec) CsvLoader                : DEBUG           -> Reading data from "c:\Users\Radhakrishna\Desktop\code_repositories\dispatches\dispatches\case_studies\nuclear_case\ARMA_Model\ARMA_pointer_2018_2021_to2045.csv"
(    0.04 sec) CsvLoader                : DEBUG           -> Reading data from "c:\Users\Radhakrishna\Desktop\code_repositories\dispatches\dispatches\case_studies\nuclear_case\ARMA_Model\Price_2018.csv"
(    0.05 sec) CsvLoader                : DEBUG           -> Reading data from "c:\Users\Radhakrishna\Desktop\code_repositories\dispatches\dispatches\case_studies\nuclear_case\ARMA_Model\Price_2019.csv"
(    0.05 sec) CsvLoader                : DEBUG           -> Reading data from "c:\Users\Radhakrishna\Desktop\code_repositories\dispatches\dispatches\case_studies\nuclear_case\ARMA_Model\Price_2020.csv"
(    0.05 sec) CsvLoader                : DEBUG           -> Reading data from "c:\Users\Radhakrishna\Desktop\code_repositories\dispatches\dispatches\case_studies\nuclear_case\ARMA_Model\Price_2021.csv"
(    0.06 sec) CsvLoader                : DEBUG           -> Reading data from "c:\Users\Radhakrishna\Desktop\code_repositories\dispatches\dispatches\case_studies\nuclear_case\ARMA_Model\Price_2021.csv"
(    0.07 sec) HistorySet               : DEBUG           -> Printing data to CSV: "test1.csv"
(    0.18 sec) HistorySet               : DEBUG           -> Printing metadata XML: "test1.xml"
(    0.18 sec) STEP IOCOMBINED          : Message         -> ***       Run finished        ***
(    0.18 sec) STEP IOCOMBINED          : Message         -> ***     Closing the step      ***
(    0.18 sec) STEP IOCOMBINED          : Message         -> ***        Step closed        ***
(    0.18 sec) SIMULATION               : Message         -> -- End step load of type: IOStep --

(    0.18 sec) SIMULATION               : Message         -> -- Beginning RomTrainer step "train" ... --
(    0.18 sec) STEP ROM TRAINER         : Message         -> ***  Beginning initialization ***
(    0.18 sec) STEP ROM TRAINER         : DEBUG           -> jobHandler initialized
(    0.18 sec) STEP ROM TRAINER         : Message         -> ***    Initialization done    ***
(    0.18 sec) STEP ROM TRAINER         : Message         -> ***       Beginning run       ***
(    0.18 sec) Interp. Cluster ROM      : DEBUG           -> Training Statepoint Year 0 ...
(    0.18 sec) Clustered ROM            : DEBUG           -> Training segmented subspaces for "arma" ...
(    0.19 sec) Clustered ROM            : DEBUG           -> Dividing         hour         into  365  divisions for training ...
DEBUGG no ZF here!
(    0.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    0.20 sec) Clustered ROM            : DEBUG           -> Training segment 0 slice(0, 24, None)
(    0.20 sec) ARMA                     : DEBUG           -> Training...
(    0.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    0.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    0.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    0.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    0.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.12 sec) Clustered ROM            : DEBUG           -> Training segment 1 slice(24, 48, None)
(    1.12 sec) ARMA                     : DEBUG           -> Training...
(    1.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.14 sec) Clustered ROM            : DEBUG           -> Training segment 2 slice(48, 72, None)
(    1.14 sec) ARMA                     : DEBUG           -> Training...
(    1.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.17 sec) Clustered ROM            : DEBUG           -> Training segment 3 slice(72, 96, None)
(    1.17 sec) ARMA                     : DEBUG           -> Training...
(    1.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.18 sec) Clustered ROM            : DEBUG           -> Training segment 4 slice(96, 120, None)
(    1.18 sec) ARMA                     : DEBUG           -> Training...
(    1.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.20 sec) Clustered ROM            : DEBUG           -> Training segment 5 slice(120, 144, None)
(    1.20 sec) ARMA                     : DEBUG           -> Training...
(    1.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.21 sec) Clustered ROM            : DEBUG           -> Training segment 6 slice(144, 168, None)
(    1.21 sec) ARMA                     : DEBUG           -> Training...
(    1.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.22 sec) Clustered ROM            : DEBUG           -> Training segment 7 slice(168, 192, None)
(    1.22 sec) ARMA                     : DEBUG           -> Training...
(    1.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.24 sec) Clustered ROM            : DEBUG           -> Training segment 8 slice(192, 216, None)
(    1.24 sec) ARMA                     : DEBUG           -> Training...
(    1.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.27 sec) Clustered ROM            : DEBUG           -> Training segment 9 slice(216, 240, None)
(    1.27 sec) ARMA                     : DEBUG           -> Training...
(    1.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.29 sec) Clustered ROM            : DEBUG           -> Training segment 10 slice(240, 264, None)
(    1.29 sec) ARMA                     : DEBUG           -> Training...
(    1.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.33 sec) Clustered ROM            : DEBUG           -> Training segment 11 slice(264, 288, None)
(    1.33 sec) ARMA                     : DEBUG           -> Training...
(    1.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.34 sec) Clustered ROM            : DEBUG           -> Training segment 12 slice(288, 312, None)
(    1.34 sec) ARMA                     : DEBUG           -> Training...
(    1.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.38 sec) Clustered ROM            : DEBUG           -> Training segment 13 slice(312, 336, None)
(    1.38 sec) ARMA                     : DEBUG           -> Training...
(    1.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.38 sec) Clustered ROM            : DEBUG           -> Training segment 14 slice(336, 360, None)
(    1.38 sec) ARMA                     : DEBUG           -> Training...
(    1.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.40 sec) Clustered ROM            : DEBUG           -> Training segment 15 slice(360, 384, None)
(    1.40 sec) ARMA                     : DEBUG           -> Training...
(    1.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.41 sec) Clustered ROM            : DEBUG           -> Training segment 16 slice(384, 408, None)
(    1.41 sec) ARMA                     : DEBUG           -> Training...
(    1.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.42 sec) Clustered ROM            : DEBUG           -> Training segment 17 slice(408, 432, None)
(    1.42 sec) ARMA                     : DEBUG           -> Training...
(    1.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.44 sec) Clustered ROM            : DEBUG           -> Training segment 18 slice(432, 456, None)
(    1.44 sec) ARMA                     : DEBUG           -> Training...
(    1.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.45 sec) Clustered ROM            : DEBUG           -> Training segment 19 slice(456, 480, None)
(    1.45 sec) ARMA                     : DEBUG           -> Training...
(    1.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.46 sec) Clustered ROM            : DEBUG           -> Training segment 20 slice(480, 504, None)
(    1.46 sec) ARMA                     : DEBUG           -> Training...
(    1.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.47 sec) Clustered ROM            : DEBUG           -> Training segment 21 slice(504, 528, None)
(    1.47 sec) ARMA                     : DEBUG           -> Training...
(    1.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.48 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.49 sec) Clustered ROM            : DEBUG           -> Training segment 22 slice(528, 552, None)
(    1.49 sec) ARMA                     : DEBUG           -> Training...
(    1.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.50 sec) Clustered ROM            : DEBUG           -> Training segment 23 slice(552, 576, None)
(    1.50 sec) ARMA                     : DEBUG           -> Training...
(    1.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.54 sec) Clustered ROM            : DEBUG           -> Training segment 24 slice(576, 600, None)
(    1.54 sec) ARMA                     : DEBUG           -> Training...
(    1.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.55 sec) Clustered ROM            : DEBUG           -> Training segment 25 slice(600, 624, None)
(    1.55 sec) ARMA                     : DEBUG           -> Training...
(    1.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.57 sec) Clustered ROM            : DEBUG           -> Training segment 26 slice(624, 648, None)
(    1.57 sec) ARMA                     : DEBUG           -> Training...
(    1.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.58 sec) Clustered ROM            : DEBUG           -> Training segment 27 slice(648, 672, None)
(    1.58 sec) ARMA                     : DEBUG           -> Training...
(    1.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.59 sec) Clustered ROM            : DEBUG           -> Training segment 28 slice(672, 696, None)
(    1.59 sec) ARMA                     : DEBUG           -> Training...
(    1.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.60 sec) Clustered ROM            : DEBUG           -> Training segment 29 slice(696, 720, None)
(    1.60 sec) ARMA                     : DEBUG           -> Training...
(    1.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.62 sec) Clustered ROM            : DEBUG           -> Training segment 30 slice(720, 744, None)
(    1.62 sec) ARMA                     : DEBUG           -> Training...
(    1.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.62 sec) Clustered ROM            : DEBUG           -> Training segment 31 slice(744, 768, None)
(    1.62 sec) ARMA                     : DEBUG           -> Training...
(    1.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.64 sec) Clustered ROM            : DEBUG           -> Training segment 32 slice(768, 792, None)
(    1.64 sec) ARMA                     : DEBUG           -> Training...
(    1.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.66 sec) Clustered ROM            : DEBUG           -> Training segment 33 slice(792, 816, None)
(    1.66 sec) ARMA                     : DEBUG           -> Training...
(    1.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.67 sec) Clustered ROM            : DEBUG           -> Training segment 34 slice(816, 840, None)
(    1.67 sec) ARMA                     : DEBUG           -> Training...
(    1.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.68 sec) Clustered ROM            : DEBUG           -> Training segment 35 slice(840, 864, None)
(    1.68 sec) ARMA                     : DEBUG           -> Training...
(    1.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.68 sec) Clustered ROM            : DEBUG           -> Training segment 36 slice(864, 888, None)
(    1.68 sec) ARMA                     : DEBUG           -> Training...
(    1.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.70 sec) Clustered ROM            : DEBUG           -> Training segment 37 slice(888, 912, None)
(    1.70 sec) ARMA                     : DEBUG           -> Training...
(    1.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.72 sec) Clustered ROM            : DEBUG           -> Training segment 38 slice(912, 936, None)
(    1.72 sec) ARMA                     : DEBUG           -> Training...
(    1.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.74 sec) Clustered ROM            : DEBUG           -> Training segment 39 slice(936, 960, None)
(    1.74 sec) ARMA                     : DEBUG           -> Training...
(    1.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.75 sec) Clustered ROM            : DEBUG           -> Training segment 40 slice(960, 984, None)
(    1.75 sec) ARMA                     : DEBUG           -> Training...
(    1.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.76 sec) Clustered ROM            : DEBUG           -> Training segment 41 slice(984, 1008, None)
(    1.76 sec) ARMA                     : DEBUG           -> Training...
(    1.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.78 sec) Clustered ROM            : DEBUG           -> Training segment 42 slice(1008, 1032, None)
(    1.78 sec) ARMA                     : DEBUG           -> Training...
(    1.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.82 sec) Clustered ROM            : DEBUG           -> Training segment 43 slice(1032, 1056, None)
(    1.82 sec) ARMA                     : DEBUG           -> Training...
(    1.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.83 sec) Clustered ROM            : DEBUG           -> Training segment 44 slice(1056, 1080, None)
(    1.83 sec) ARMA                     : DEBUG           -> Training...
(    1.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.84 sec) Clustered ROM            : DEBUG           -> Training segment 45 slice(1080, 1104, None)
(    1.84 sec) ARMA                     : DEBUG           -> Training...
(    1.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.86 sec) Clustered ROM            : DEBUG           -> Training segment 46 slice(1104, 1128, None)
(    1.86 sec) ARMA                     : DEBUG           -> Training...
(    1.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.87 sec) Clustered ROM            : DEBUG           -> Training segment 47 slice(1128, 1152, None)
(    1.87 sec) ARMA                     : DEBUG           -> Training...
(    1.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.88 sec) Clustered ROM            : DEBUG           -> Training segment 48 slice(1152, 1176, None)
(    1.88 sec) ARMA                     : DEBUG           -> Training...
(    1.88 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.88 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.88 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.90 sec) Clustered ROM            : DEBUG           -> Training segment 49 slice(1176, 1200, None)
(    1.90 sec) ARMA                     : DEBUG           -> Training...
(    1.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.91 sec) Clustered ROM            : DEBUG           -> Training segment 50 slice(1200, 1224, None)
(    1.91 sec) ARMA                     : DEBUG           -> Training...
(    1.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.92 sec) Clustered ROM            : DEBUG           -> Training segment 51 slice(1224, 1248, None)
(    1.92 sec) ARMA                     : DEBUG           -> Training...
(    1.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.95 sec) Clustered ROM            : DEBUG           -> Training segment 52 slice(1248, 1272, None)
(    1.95 sec) ARMA                     : DEBUG           -> Training...
(    1.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.97 sec) Clustered ROM            : DEBUG           -> Training segment 53 slice(1272, 1296, None)
(    1.97 sec) ARMA                     : DEBUG           -> Training...
(    1.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.97 sec) Clustered ROM            : DEBUG           -> Training segment 54 slice(1296, 1320, None)
(    1.97 sec) ARMA                     : DEBUG           -> Training...
(    1.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.98 sec) Clustered ROM            : DEBUG           -> Training segment 55 slice(1320, 1344, None)
(    1.98 sec) ARMA                     : DEBUG           -> Training...
(    1.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    1.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    1.99 sec) Clustered ROM            : DEBUG           -> Training segment 56 slice(1344, 1368, None)
(    1.99 sec) ARMA                     : DEBUG           -> Training...
(    1.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    1.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    1.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    1.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    1.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.03 sec) Clustered ROM            : DEBUG           -> Training segment 57 slice(1368, 1392, None)
(    2.03 sec) ARMA                     : DEBUG           -> Training...
(    2.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.07 sec) Clustered ROM            : DEBUG           -> Training segment 58 slice(1392, 1416, None)
(    2.07 sec) ARMA                     : DEBUG           -> Training...
(    2.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.08 sec) Clustered ROM            : DEBUG           -> Training segment 59 slice(1416, 1440, None)
(    2.08 sec) ARMA                     : DEBUG           -> Training...
(    2.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.11 sec) Clustered ROM            : DEBUG           -> Training segment 60 slice(1440, 1464, None)
(    2.11 sec) ARMA                     : DEBUG           -> Training...
(    2.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.13 sec) Clustered ROM            : DEBUG           -> Training segment 61 slice(1464, 1488, None)
(    2.13 sec) ARMA                     : DEBUG           -> Training...
(    2.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.14 sec) Clustered ROM            : DEBUG           -> Training segment 62 slice(1488, 1512, None)
(    2.14 sec) ARMA                     : DEBUG           -> Training...
(    2.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.15 sec) Clustered ROM            : DEBUG           -> Training segment 63 slice(1512, 1536, None)
(    2.15 sec) ARMA                     : DEBUG           -> Training...
(    2.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.16 sec) Clustered ROM            : DEBUG           -> Training segment 64 slice(1536, 1560, None)
(    2.16 sec) ARMA                     : DEBUG           -> Training...
(    2.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.19 sec) Clustered ROM            : DEBUG           -> Training segment 65 slice(1560, 1584, None)
(    2.19 sec) ARMA                     : DEBUG           -> Training...
(    2.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.22 sec) Clustered ROM            : DEBUG           -> Training segment 66 slice(1584, 1608, None)
(    2.22 sec) ARMA                     : DEBUG           -> Training...
(    2.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.24 sec) Clustered ROM            : DEBUG           -> Training segment 67 slice(1608, 1632, None)
(    2.24 sec) ARMA                     : DEBUG           -> Training...
(    2.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.25 sec) Clustered ROM            : DEBUG           -> Training segment 68 slice(1632, 1656, None)
(    2.25 sec) ARMA                     : DEBUG           -> Training...
(    2.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.30 sec) Clustered ROM            : DEBUG           -> Training segment 69 slice(1656, 1680, None)
(    2.30 sec) ARMA                     : DEBUG           -> Training...
(    2.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.31 sec) Clustered ROM            : DEBUG           -> Training segment 70 slice(1680, 1704, None)
(    2.31 sec) ARMA                     : DEBUG           -> Training...
(    2.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.33 sec) Clustered ROM            : DEBUG           -> Training segment 71 slice(1704, 1728, None)
(    2.33 sec) ARMA                     : DEBUG           -> Training...
(    2.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.34 sec) Clustered ROM            : DEBUG           -> Training segment 72 slice(1728, 1752, None)
(    2.34 sec) ARMA                     : DEBUG           -> Training...
(    2.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.35 sec) Clustered ROM            : DEBUG           -> Training segment 73 slice(1752, 1776, None)
(    2.35 sec) ARMA                     : DEBUG           -> Training...
(    2.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.37 sec) Clustered ROM            : DEBUG           -> Training segment 74 slice(1776, 1800, None)
(    2.37 sec) ARMA                     : DEBUG           -> Training...
(    2.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.39 sec) Clustered ROM            : DEBUG           -> Training segment 75 slice(1800, 1824, None)
(    2.39 sec) ARMA                     : DEBUG           -> Training...
(    2.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.40 sec) Clustered ROM            : DEBUG           -> Training segment 76 slice(1824, 1848, None)
(    2.40 sec) ARMA                     : DEBUG           -> Training...
(    2.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.41 sec) Clustered ROM            : DEBUG           -> Training segment 77 slice(1848, 1872, None)
(    2.41 sec) ARMA                     : DEBUG           -> Training...
(    2.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.43 sec) Clustered ROM            : DEBUG           -> Training segment 78 slice(1872, 1896, None)
(    2.43 sec) ARMA                     : DEBUG           -> Training...
(    2.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.44 sec) Clustered ROM            : DEBUG           -> Training segment 79 slice(1896, 1920, None)
(    2.44 sec) ARMA                     : DEBUG           -> Training...
(    2.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.45 sec) Clustered ROM            : DEBUG           -> Training segment 80 slice(1920, 1944, None)
(    2.45 sec) ARMA                     : DEBUG           -> Training...
(    2.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.46 sec) Clustered ROM            : DEBUG           -> Training segment 81 slice(1944, 1968, None)
(    2.46 sec) ARMA                     : DEBUG           -> Training...
(    2.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.47 sec) Clustered ROM            : DEBUG           -> Training segment 82 slice(1968, 1992, None)
(    2.47 sec) ARMA                     : DEBUG           -> Training...
(    2.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.49 sec) Clustered ROM            : DEBUG           -> Training segment 83 slice(1992, 2016, None)
(    2.49 sec) ARMA                     : DEBUG           -> Training...
(    2.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.50 sec) Clustered ROM            : DEBUG           -> Training segment 84 slice(2016, 2040, None)
(    2.50 sec) ARMA                     : DEBUG           -> Training...
(    2.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.50 sec) Clustered ROM            : DEBUG           -> Training segment 85 slice(2040, 2064, None)
(    2.50 sec) ARMA                     : DEBUG           -> Training...
(    2.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.51 sec) Clustered ROM            : DEBUG           -> Training segment 86 slice(2064, 2088, None)
(    2.51 sec) ARMA                     : DEBUG           -> Training...
(    2.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.53 sec) Clustered ROM            : DEBUG           -> Training segment 87 slice(2088, 2112, None)
(    2.53 sec) ARMA                     : DEBUG           -> Training...
(    2.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.55 sec) Clustered ROM            : DEBUG           -> Training segment 88 slice(2112, 2136, None)
(    2.55 sec) ARMA                     : DEBUG           -> Training...
(    2.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.57 sec) Clustered ROM            : DEBUG           -> Training segment 89 slice(2136, 2160, None)
(    2.57 sec) ARMA                     : DEBUG           -> Training...
(    2.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.57 sec) Clustered ROM            : DEBUG           -> Training segment 90 slice(2160, 2184, None)
(    2.57 sec) ARMA                     : DEBUG           -> Training...
(    2.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.59 sec) Clustered ROM            : DEBUG           -> Training segment 91 slice(2184, 2208, None)
(    2.59 sec) ARMA                     : DEBUG           -> Training...
(    2.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.60 sec) Clustered ROM            : DEBUG           -> Training segment 92 slice(2208, 2232, None)
(    2.60 sec) ARMA                     : DEBUG           -> Training...
(    2.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.62 sec) Clustered ROM            : DEBUG           -> Training segment 93 slice(2232, 2256, None)
(    2.62 sec) ARMA                     : DEBUG           -> Training...
(    2.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.64 sec) Clustered ROM            : DEBUG           -> Training segment 94 slice(2256, 2280, None)
(    2.64 sec) ARMA                     : DEBUG           -> Training...
(    2.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.66 sec) Clustered ROM            : DEBUG           -> Training segment 95 slice(2280, 2304, None)
(    2.66 sec) ARMA                     : DEBUG           -> Training...
(    2.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.67 sec) Clustered ROM            : DEBUG           -> Training segment 96 slice(2304, 2328, None)
(    2.67 sec) ARMA                     : DEBUG           -> Training...
(    2.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.68 sec) Clustered ROM            : DEBUG           -> Training segment 97 slice(2328, 2352, None)
(    2.68 sec) ARMA                     : DEBUG           -> Training...
(    2.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.69 sec) Clustered ROM            : DEBUG           -> Training segment 98 slice(2352, 2376, None)
(    2.69 sec) ARMA                     : DEBUG           -> Training...
(    2.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.71 sec) Clustered ROM            : DEBUG           -> Training segment 99 slice(2376, 2400, None)
(    2.71 sec) ARMA                     : DEBUG           -> Training...
(    2.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.72 sec) Clustered ROM            : DEBUG           -> Training segment 100 slice(2400, 2424, None)
(    2.72 sec) ARMA                     : DEBUG           -> Training...
(    2.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.75 sec) Clustered ROM            : DEBUG           -> Training segment 101 slice(2424, 2448, None)
(    2.75 sec) ARMA                     : DEBUG           -> Training...
(    2.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.76 sec) Clustered ROM            : DEBUG           -> Training segment 102 slice(2448, 2472, None)
(    2.76 sec) ARMA                     : DEBUG           -> Training...
(    2.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.77 sec) Clustered ROM            : DEBUG           -> Training segment 103 slice(2472, 2496, None)
(    2.77 sec) ARMA                     : DEBUG           -> Training...
(    2.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.79 sec) Clustered ROM            : DEBUG           -> Training segment 104 slice(2496, 2520, None)
(    2.79 sec) ARMA                     : DEBUG           -> Training...
(    2.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.80 sec) Clustered ROM            : DEBUG           -> Training segment 105 slice(2520, 2544, None)
(    2.80 sec) ARMA                     : DEBUG           -> Training...
(    2.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.81 sec) Clustered ROM            : DEBUG           -> Training segment 106 slice(2544, 2568, None)
(    2.81 sec) ARMA                     : DEBUG           -> Training...
(    2.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.82 sec) Clustered ROM            : DEBUG           -> Training segment 107 slice(2568, 2592, None)
(    2.82 sec) ARMA                     : DEBUG           -> Training...
(    2.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.84 sec) Clustered ROM            : DEBUG           -> Training segment 108 slice(2592, 2616, None)
(    2.84 sec) ARMA                     : DEBUG           -> Training...
(    2.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.85 sec) Clustered ROM            : DEBUG           -> Training segment 109 slice(2616, 2640, None)
(    2.85 sec) ARMA                     : DEBUG           -> Training...
(    2.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.86 sec) Clustered ROM            : DEBUG           -> Training segment 110 slice(2640, 2664, None)
(    2.86 sec) ARMA                     : DEBUG           -> Training...
(    2.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.87 sec) Clustered ROM            : DEBUG           -> Training segment 111 slice(2664, 2688, None)
(    2.87 sec) ARMA                     : DEBUG           -> Training...
(    2.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.89 sec) Clustered ROM            : DEBUG           -> Training segment 112 slice(2688, 2712, None)
(    2.89 sec) ARMA                     : DEBUG           -> Training...
(    2.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.90 sec) Clustered ROM            : DEBUG           -> Training segment 113 slice(2712, 2736, None)
(    2.90 sec) ARMA                     : DEBUG           -> Training...
(    2.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.92 sec) Clustered ROM            : DEBUG           -> Training segment 114 slice(2736, 2760, None)
(    2.92 sec) ARMA                     : DEBUG           -> Training...
(    2.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.93 sec) Clustered ROM            : DEBUG           -> Training segment 115 slice(2760, 2784, None)
(    2.93 sec) ARMA                     : DEBUG           -> Training...
(    2.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.94 sec) Clustered ROM            : DEBUG           -> Training segment 116 slice(2784, 2808, None)
(    2.94 sec) ARMA                     : DEBUG           -> Training...
(    2.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.95 sec) Clustered ROM            : DEBUG           -> Training segment 117 slice(2808, 2832, None)
(    2.95 sec) ARMA                     : DEBUG           -> Training...
(    2.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.97 sec) Clustered ROM            : DEBUG           -> Training segment 118 slice(2832, 2856, None)
(    2.97 sec) ARMA                     : DEBUG           -> Training...
(    2.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    2.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    2.99 sec) Clustered ROM            : DEBUG           -> Training segment 119 slice(2856, 2880, None)
(    2.99 sec) ARMA                     : DEBUG           -> Training...
(    2.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    2.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    2.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    2.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    2.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.00 sec) Clustered ROM            : DEBUG           -> Training segment 120 slice(2880, 2904, None)
(    3.00 sec) ARMA                     : DEBUG           -> Training...
(    3.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.01 sec) Clustered ROM            : DEBUG           -> Training segment 121 slice(2904, 2928, None)
(    3.01 sec) ARMA                     : DEBUG           -> Training...
(    3.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.02 sec) Clustered ROM            : DEBUG           -> Training segment 122 slice(2928, 2952, None)
(    3.02 sec) ARMA                     : DEBUG           -> Training...
(    3.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.03 sec) Clustered ROM            : DEBUG           -> Training segment 123 slice(2952, 2976, None)
(    3.03 sec) ARMA                     : DEBUG           -> Training...
(    3.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.05 sec) Clustered ROM            : DEBUG           -> Training segment 124 slice(2976, 3000, None)
(    3.05 sec) ARMA                     : DEBUG           -> Training...
(    3.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.07 sec) Clustered ROM            : DEBUG           -> Training segment 125 slice(3000, 3024, None)
(    3.07 sec) ARMA                     : DEBUG           -> Training...
(    3.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.07 sec) Clustered ROM            : DEBUG           -> Training segment 126 slice(3024, 3048, None)
(    3.07 sec) ARMA                     : DEBUG           -> Training...
(    3.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.08 sec) Clustered ROM            : DEBUG           -> Training segment 127 slice(3048, 3072, None)
(    3.08 sec) ARMA                     : DEBUG           -> Training...
(    3.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.10 sec) Clustered ROM            : DEBUG           -> Training segment 128 slice(3072, 3096, None)
(    3.10 sec) ARMA                     : DEBUG           -> Training...
(    3.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.13 sec) Clustered ROM            : DEBUG           -> Training segment 129 slice(3096, 3120, None)
(    3.13 sec) ARMA                     : DEBUG           -> Training...
(    3.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.15 sec) Clustered ROM            : DEBUG           -> Training segment 130 slice(3120, 3144, None)
(    3.15 sec) ARMA                     : DEBUG           -> Training...
(    3.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.17 sec) Clustered ROM            : DEBUG           -> Training segment 131 slice(3144, 3168, None)
(    3.17 sec) ARMA                     : DEBUG           -> Training...
(    3.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.18 sec) Clustered ROM            : DEBUG           -> Training segment 132 slice(3168, 3192, None)
(    3.18 sec) ARMA                     : DEBUG           -> Training...
(    3.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.21 sec) Clustered ROM            : DEBUG           -> Training segment 133 slice(3192, 3216, None)
(    3.21 sec) ARMA                     : DEBUG           -> Training...
(    3.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.22 sec) Clustered ROM            : DEBUG           -> Training segment 134 slice(3216, 3240, None)
(    3.22 sec) ARMA                     : DEBUG           -> Training...
(    3.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.24 sec) Clustered ROM            : DEBUG           -> Training segment 135 slice(3240, 3264, None)
(    3.24 sec) ARMA                     : DEBUG           -> Training...
(    3.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.25 sec) Clustered ROM            : DEBUG           -> Training segment 136 slice(3264, 3288, None)
(    3.25 sec) ARMA                     : DEBUG           -> Training...
(    3.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.26 sec) Clustered ROM            : DEBUG           -> Training segment 137 slice(3288, 3312, None)
(    3.26 sec) ARMA                     : DEBUG           -> Training...
(    3.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.28 sec) Clustered ROM            : DEBUG           -> Training segment 138 slice(3312, 3336, None)
(    3.28 sec) ARMA                     : DEBUG           -> Training...
(    3.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.29 sec) Clustered ROM            : DEBUG           -> Training segment 139 slice(3336, 3360, None)
(    3.29 sec) ARMA                     : DEBUG           -> Training...
(    3.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.30 sec) Clustered ROM            : DEBUG           -> Training segment 140 slice(3360, 3384, None)
(    3.30 sec) ARMA                     : DEBUG           -> Training...
(    3.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.32 sec) Clustered ROM            : DEBUG           -> Training segment 141 slice(3384, 3408, None)
(    3.32 sec) ARMA                     : DEBUG           -> Training...
(    3.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.33 sec) Clustered ROM            : DEBUG           -> Training segment 142 slice(3408, 3432, None)
(    3.33 sec) ARMA                     : DEBUG           -> Training...
(    3.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.34 sec) Clustered ROM            : DEBUG           -> Training segment 143 slice(3432, 3456, None)
(    3.34 sec) ARMA                     : DEBUG           -> Training...
(    3.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.36 sec) Clustered ROM            : DEBUG           -> Training segment 144 slice(3456, 3480, None)
(    3.36 sec) ARMA                     : DEBUG           -> Training...
(    3.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.37 sec) Clustered ROM            : DEBUG           -> Training segment 145 slice(3480, 3504, None)
(    3.37 sec) ARMA                     : DEBUG           -> Training...
(    3.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.38 sec) Clustered ROM            : DEBUG           -> Training segment 146 slice(3504, 3528, None)
(    3.38 sec) ARMA                     : DEBUG           -> Training...
(    3.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.39 sec) Clustered ROM            : DEBUG           -> Training segment 147 slice(3528, 3552, None)
(    3.39 sec) ARMA                     : DEBUG           -> Training...
(    3.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.42 sec) Clustered ROM            : DEBUG           -> Training segment 148 slice(3552, 3576, None)
(    3.42 sec) ARMA                     : DEBUG           -> Training...
(    3.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.44 sec) Clustered ROM            : DEBUG           -> Training segment 149 slice(3576, 3600, None)
(    3.44 sec) ARMA                     : DEBUG           -> Training...
(    3.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.45 sec) Clustered ROM            : DEBUG           -> Training segment 150 slice(3600, 3624, None)
(    3.45 sec) ARMA                     : DEBUG           -> Training...
(    3.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.49 sec) Clustered ROM            : DEBUG           -> Training segment 151 slice(3624, 3648, None)
(    3.49 sec) ARMA                     : DEBUG           -> Training...
(    3.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.50 sec) Clustered ROM            : DEBUG           -> Training segment 152 slice(3648, 3672, None)
(    3.50 sec) ARMA                     : DEBUG           -> Training...
(    3.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.51 sec) Clustered ROM            : DEBUG           -> Training segment 153 slice(3672, 3696, None)
(    3.51 sec) ARMA                     : DEBUG           -> Training...
(    3.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.53 sec) Clustered ROM            : DEBUG           -> Training segment 154 slice(3696, 3720, None)
(    3.53 sec) ARMA                     : DEBUG           -> Training...
(    3.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.53 sec) Clustered ROM            : DEBUG           -> Training segment 155 slice(3720, 3744, None)
(    3.53 sec) ARMA                     : DEBUG           -> Training...
(    3.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.57 sec) Clustered ROM            : DEBUG           -> Training segment 156 slice(3744, 3768, None)
(    3.57 sec) ARMA                     : DEBUG           -> Training...
(    3.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.58 sec) Clustered ROM            : DEBUG           -> Training segment 157 slice(3768, 3792, None)
(    3.58 sec) ARMA                     : DEBUG           -> Training...
(    3.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.60 sec) Clustered ROM            : DEBUG           -> Training segment 158 slice(3792, 3816, None)
(    3.60 sec) ARMA                     : DEBUG           -> Training...
(    3.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.61 sec) Clustered ROM            : DEBUG           -> Training segment 159 slice(3816, 3840, None)
(    3.61 sec) ARMA                     : DEBUG           -> Training...
(    3.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.65 sec) Clustered ROM            : DEBUG           -> Training segment 160 slice(3840, 3864, None)
(    3.65 sec) ARMA                     : DEBUG           -> Training...
(    3.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.66 sec) Clustered ROM            : DEBUG           -> Training segment 161 slice(3864, 3888, None)
(    3.66 sec) ARMA                     : DEBUG           -> Training...
(    3.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.68 sec) Clustered ROM            : DEBUG           -> Training segment 162 slice(3888, 3912, None)
(    3.68 sec) ARMA                     : DEBUG           -> Training...
(    3.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.69 sec) Clustered ROM            : DEBUG           -> Training segment 163 slice(3912, 3936, None)
(    3.69 sec) ARMA                     : DEBUG           -> Training...
(    3.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.72 sec) Clustered ROM            : DEBUG           -> Training segment 164 slice(3936, 3960, None)
(    3.72 sec) ARMA                     : DEBUG           -> Training...
(    3.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.73 sec) Clustered ROM            : DEBUG           -> Training segment 165 slice(3960, 3984, None)
(    3.73 sec) ARMA                     : DEBUG           -> Training...
(    3.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.74 sec) Clustered ROM            : DEBUG           -> Training segment 166 slice(3984, 4008, None)
(    3.74 sec) ARMA                     : DEBUG           -> Training...
(    3.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.75 sec) Clustered ROM            : DEBUG           -> Training segment 167 slice(4008, 4032, None)
(    3.75 sec) ARMA                     : DEBUG           -> Training...
(    3.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.77 sec) Clustered ROM            : DEBUG           -> Training segment 168 slice(4032, 4056, None)
(    3.77 sec) ARMA                     : DEBUG           -> Training...
(    3.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.79 sec) Clustered ROM            : DEBUG           -> Training segment 169 slice(4056, 4080, None)
(    3.79 sec) ARMA                     : DEBUG           -> Training...
(    3.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.82 sec) Clustered ROM            : DEBUG           -> Training segment 170 slice(4080, 4104, None)
(    3.82 sec) ARMA                     : DEBUG           -> Training...
(    3.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.83 sec) Clustered ROM            : DEBUG           -> Training segment 171 slice(4104, 4128, None)
(    3.83 sec) ARMA                     : DEBUG           -> Training...
(    3.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.84 sec) Clustered ROM            : DEBUG           -> Training segment 172 slice(4128, 4152, None)
(    3.84 sec) ARMA                     : DEBUG           -> Training...
(    3.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.85 sec) Clustered ROM            : DEBUG           -> Training segment 173 slice(4152, 4176, None)
(    3.85 sec) ARMA                     : DEBUG           -> Training...
(    3.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.87 sec) Clustered ROM            : DEBUG           -> Training segment 174 slice(4176, 4200, None)
(    3.87 sec) ARMA                     : DEBUG           -> Training...
(    3.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.88 sec) Clustered ROM            : DEBUG           -> Training segment 175 slice(4200, 4224, None)
(    3.88 sec) ARMA                     : DEBUG           -> Training...
(    3.88 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.88 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.88 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.88 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.88 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.90 sec) Clustered ROM            : DEBUG           -> Training segment 176 slice(4224, 4248, None)
(    3.90 sec) ARMA                     : DEBUG           -> Training...
(    3.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.94 sec) Clustered ROM            : DEBUG           -> Training segment 177 slice(4248, 4272, None)
(    3.94 sec) ARMA                     : DEBUG           -> Training...
(    3.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.98 sec) Clustered ROM            : DEBUG           -> Training segment 178 slice(4272, 4296, None)
(    3.98 sec) ARMA                     : DEBUG           -> Training...
(    3.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    3.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    3.99 sec) Clustered ROM            : DEBUG           -> Training segment 179 slice(4296, 4320, None)
(    3.99 sec) ARMA                     : DEBUG           -> Training...
(    3.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    3.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    3.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    3.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    3.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.00 sec) Clustered ROM            : DEBUG           -> Training segment 180 slice(4320, 4344, None)
(    4.00 sec) ARMA                     : DEBUG           -> Training...
(    4.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.04 sec) Clustered ROM            : DEBUG           -> Training segment 181 slice(4344, 4368, None)
(    4.04 sec) ARMA                     : DEBUG           -> Training...
(    4.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.05 sec) Clustered ROM            : DEBUG           -> Training segment 182 slice(4368, 4392, None)
(    4.05 sec) ARMA                     : DEBUG           -> Training...
(    4.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.06 sec) Clustered ROM            : DEBUG           -> Training segment 183 slice(4392, 4416, None)
(    4.06 sec) ARMA                     : DEBUG           -> Training...
(    4.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.08 sec) Clustered ROM            : DEBUG           -> Training segment 184 slice(4416, 4440, None)
(    4.08 sec) ARMA                     : DEBUG           -> Training...
(    4.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.09 sec) Clustered ROM            : DEBUG           -> Training segment 185 slice(4440, 4464, None)
(    4.09 sec) ARMA                     : DEBUG           -> Training...
(    4.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.11 sec) Clustered ROM            : DEBUG           -> Training segment 186 slice(4464, 4488, None)
(    4.11 sec) ARMA                     : DEBUG           -> Training...
(    4.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.12 sec) Clustered ROM            : DEBUG           -> Training segment 187 slice(4488, 4512, None)
(    4.12 sec) ARMA                     : DEBUG           -> Training...
(    4.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.16 sec) Clustered ROM            : DEBUG           -> Training segment 188 slice(4512, 4536, None)
(    4.16 sec) ARMA                     : DEBUG           -> Training...
(    4.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.17 sec) Clustered ROM            : DEBUG           -> Training segment 189 slice(4536, 4560, None)
(    4.17 sec) ARMA                     : DEBUG           -> Training...
(    4.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.18 sec) Clustered ROM            : DEBUG           -> Training segment 190 slice(4560, 4584, None)
(    4.18 sec) ARMA                     : DEBUG           -> Training...
(    4.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.19 sec) Clustered ROM            : DEBUG           -> Training segment 191 slice(4584, 4608, None)
(    4.19 sec) ARMA                     : DEBUG           -> Training...
(    4.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.20 sec) Clustered ROM            : DEBUG           -> Training segment 192 slice(4608, 4632, None)
(    4.20 sec) ARMA                     : DEBUG           -> Training...
(    4.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.22 sec) Clustered ROM            : DEBUG           -> Training segment 193 slice(4632, 4656, None)
(    4.22 sec) ARMA                     : DEBUG           -> Training...
(    4.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.25 sec) Clustered ROM            : DEBUG           -> Training segment 194 slice(4656, 4680, None)
(    4.25 sec) ARMA                     : DEBUG           -> Training...
(    4.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.27 sec) Clustered ROM            : DEBUG           -> Training segment 195 slice(4680, 4704, None)
(    4.27 sec) ARMA                     : DEBUG           -> Training...
(    4.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.29 sec) Clustered ROM            : DEBUG           -> Training segment 196 slice(4704, 4728, None)
(    4.29 sec) ARMA                     : DEBUG           -> Training...
(    4.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.30 sec) Clustered ROM            : DEBUG           -> Training segment 197 slice(4728, 4752, None)
(    4.30 sec) ARMA                     : DEBUG           -> Training...
(    4.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.32 sec) Clustered ROM            : DEBUG           -> Training segment 198 slice(4752, 4776, None)
(    4.32 sec) ARMA                     : DEBUG           -> Training...
(    4.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.33 sec) Clustered ROM            : DEBUG           -> Training segment 199 slice(4776, 4800, None)
(    4.33 sec) ARMA                     : DEBUG           -> Training...
(    4.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.36 sec) Clustered ROM            : DEBUG           -> Training segment 200 slice(4800, 4824, None)
(    4.36 sec) ARMA                     : DEBUG           -> Training...
(    4.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.37 sec) Clustered ROM            : DEBUG           -> Training segment 201 slice(4824, 4848, None)
(    4.37 sec) ARMA                     : DEBUG           -> Training...
(    4.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.38 sec) Clustered ROM            : DEBUG           -> Training segment 202 slice(4848, 4872, None)
(    4.38 sec) ARMA                     : DEBUG           -> Training...
(    4.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.40 sec) Clustered ROM            : DEBUG           -> Training segment 203 slice(4872, 4896, None)
(    4.40 sec) ARMA                     : DEBUG           -> Training...
(    4.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.41 sec) Clustered ROM            : DEBUG           -> Training segment 204 slice(4896, 4920, None)
(    4.41 sec) ARMA                     : DEBUG           -> Training...
(    4.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.44 sec) Clustered ROM            : DEBUG           -> Training segment 205 slice(4920, 4944, None)
(    4.44 sec) ARMA                     : DEBUG           -> Training...
(    4.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.45 sec) Clustered ROM            : DEBUG           -> Training segment 206 slice(4944, 4968, None)
(    4.45 sec) ARMA                     : DEBUG           -> Training...
(    4.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.46 sec) Clustered ROM            : DEBUG           -> Training segment 207 slice(4968, 4992, None)
(    4.46 sec) ARMA                     : DEBUG           -> Training...
(    4.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.52 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.52 sec) Clustered ROM            : DEBUG           -> Training segment 208 slice(4992, 5016, None)
(    4.52 sec) ARMA                     : DEBUG           -> Training...
(    4.52 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.52 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.53 sec) Clustered ROM            : DEBUG           -> Training segment 209 slice(5016, 5040, None)
(    4.53 sec) ARMA                     : DEBUG           -> Training...
(    4.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.55 sec) Clustered ROM            : DEBUG           -> Training segment 210 slice(5040, 5064, None)
(    4.55 sec) ARMA                     : DEBUG           -> Training...
(    4.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.59 sec) Clustered ROM            : DEBUG           -> Training segment 211 slice(5064, 5088, None)
(    4.59 sec) ARMA                     : DEBUG           -> Training...
(    4.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.61 sec) Clustered ROM            : DEBUG           -> Training segment 212 slice(5088, 5112, None)
(    4.61 sec) ARMA                     : DEBUG           -> Training...
(    4.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.62 sec) Clustered ROM            : DEBUG           -> Training segment 213 slice(5112, 5136, None)
(    4.62 sec) ARMA                     : DEBUG           -> Training...
(    4.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.63 sec) Clustered ROM            : DEBUG           -> Training segment 214 slice(5136, 5160, None)
(    4.63 sec) ARMA                     : DEBUG           -> Training...
(    4.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.64 sec) Clustered ROM            : DEBUG           -> Training segment 215 slice(5160, 5184, None)
(    4.64 sec) ARMA                     : DEBUG           -> Training...
(    4.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.66 sec) Clustered ROM            : DEBUG           -> Training segment 216 slice(5184, 5208, None)
(    4.66 sec) ARMA                     : DEBUG           -> Training...
(    4.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.67 sec) Clustered ROM            : DEBUG           -> Training segment 217 slice(5208, 5232, None)
(    4.67 sec) ARMA                     : DEBUG           -> Training...
(    4.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.68 sec) Clustered ROM            : DEBUG           -> Training segment 218 slice(5232, 5256, None)
(    4.68 sec) ARMA                     : DEBUG           -> Training...
(    4.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.69 sec) Clustered ROM            : DEBUG           -> Training segment 219 slice(5256, 5280, None)
(    4.69 sec) ARMA                     : DEBUG           -> Training...
(    4.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.71 sec) Clustered ROM            : DEBUG           -> Training segment 220 slice(5280, 5304, None)
(    4.71 sec) ARMA                     : DEBUG           -> Training...
(    4.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.73 sec) Clustered ROM            : DEBUG           -> Training segment 221 slice(5304, 5328, None)
(    4.73 sec) ARMA                     : DEBUG           -> Training...
(    4.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.75 sec) Clustered ROM            : DEBUG           -> Training segment 222 slice(5328, 5352, None)
(    4.75 sec) ARMA                     : DEBUG           -> Training...
(    4.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.76 sec) Clustered ROM            : DEBUG           -> Training segment 223 slice(5352, 5376, None)
(    4.76 sec) ARMA                     : DEBUG           -> Training...
(    4.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.77 sec) Clustered ROM            : DEBUG           -> Training segment 224 slice(5376, 5400, None)
(    4.77 sec) ARMA                     : DEBUG           -> Training...
(    4.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.79 sec) Clustered ROM            : DEBUG           -> Training segment 225 slice(5400, 5424, None)
(    4.79 sec) ARMA                     : DEBUG           -> Training...
(    4.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.80 sec) Clustered ROM            : DEBUG           -> Training segment 226 slice(5424, 5448, None)
(    4.80 sec) ARMA                     : DEBUG           -> Training...
(    4.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.81 sec) Clustered ROM            : DEBUG           -> Training segment 227 slice(5448, 5472, None)
(    4.81 sec) ARMA                     : DEBUG           -> Training...
(    4.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.83 sec) Clustered ROM            : DEBUG           -> Training segment 228 slice(5472, 5496, None)
(    4.83 sec) ARMA                     : DEBUG           -> Training...
(    4.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.83 sec) Clustered ROM            : DEBUG           -> Training segment 229 slice(5496, 5520, None)
(    4.83 sec) ARMA                     : DEBUG           -> Training...
(    4.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.85 sec) Clustered ROM            : DEBUG           -> Training segment 230 slice(5520, 5544, None)
(    4.85 sec) ARMA                     : DEBUG           -> Training...
(    4.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.87 sec) Clustered ROM            : DEBUG           -> Training segment 231 slice(5544, 5568, None)
(    4.87 sec) ARMA                     : DEBUG           -> Training...
(    4.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.87 sec) Clustered ROM            : DEBUG           -> Training segment 232 slice(5568, 5592, None)
(    4.87 sec) ARMA                     : DEBUG           -> Training...
(    4.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.88 sec) Clustered ROM            : DEBUG           -> Training segment 233 slice(5592, 5616, None)
(    4.88 sec) ARMA                     : DEBUG           -> Training...
(    4.88 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.88 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.88 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.88 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.88 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.92 sec) Clustered ROM            : DEBUG           -> Training segment 234 slice(5616, 5640, None)
(    4.92 sec) ARMA                     : DEBUG           -> Training...
(    4.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.93 sec) Clustered ROM            : DEBUG           -> Training segment 235 slice(5640, 5664, None)
(    4.93 sec) ARMA                     : DEBUG           -> Training...
(    4.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.94 sec) Clustered ROM            : DEBUG           -> Training segment 236 slice(5664, 5688, None)
(    4.94 sec) ARMA                     : DEBUG           -> Training...
(    4.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.96 sec) Clustered ROM            : DEBUG           -> Training segment 237 slice(5688, 5712, None)
(    4.96 sec) ARMA                     : DEBUG           -> Training...
(    4.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    4.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    4.97 sec) Clustered ROM            : DEBUG           -> Training segment 238 slice(5712, 5736, None)
(    4.97 sec) ARMA                     : DEBUG           -> Training...
(    4.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    4.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    4.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    4.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    4.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.01 sec) Clustered ROM            : DEBUG           -> Training segment 239 slice(5736, 5760, None)
(    5.01 sec) ARMA                     : DEBUG           -> Training...
(    5.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.05 sec) Clustered ROM            : DEBUG           -> Training segment 240 slice(5760, 5784, None)
(    5.05 sec) ARMA                     : DEBUG           -> Training...
(    5.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.06 sec) Clustered ROM            : DEBUG           -> Training segment 241 slice(5784, 5808, None)
(    5.06 sec) ARMA                     : DEBUG           -> Training...
(    5.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.09 sec) Clustered ROM            : DEBUG           -> Training segment 242 slice(5808, 5832, None)
(    5.09 sec) ARMA                     : DEBUG           -> Training...
(    5.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.10 sec) Clustered ROM            : DEBUG           -> Training segment 243 slice(5832, 5856, None)
(    5.11 sec) ARMA                     : DEBUG           -> Training...
(    5.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.12 sec) Clustered ROM            : DEBUG           -> Training segment 244 slice(5856, 5880, None)
(    5.12 sec) ARMA                     : DEBUG           -> Training...
(    5.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.14 sec) Clustered ROM            : DEBUG           -> Training segment 245 slice(5880, 5904, None)
(    5.14 sec) ARMA                     : DEBUG           -> Training...
(    5.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.18 sec) Clustered ROM            : DEBUG           -> Training segment 246 slice(5904, 5928, None)
(    5.18 sec) ARMA                     : DEBUG           -> Training...
(    5.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.19 sec) Clustered ROM            : DEBUG           -> Training segment 247 slice(5928, 5952, None)
(    5.19 sec) ARMA                     : DEBUG           -> Training...
(    5.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.20 sec) Clustered ROM            : DEBUG           -> Training segment 248 slice(5952, 5976, None)
(    5.20 sec) ARMA                     : DEBUG           -> Training...
(    5.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.25 sec) Clustered ROM            : DEBUG           -> Training segment 249 slice(5976, 6000, None)
(    5.25 sec) ARMA                     : DEBUG           -> Training...
(    5.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.27 sec) Clustered ROM            : DEBUG           -> Training segment 250 slice(6000, 6024, None)
(    5.27 sec) ARMA                     : DEBUG           -> Training...
(    5.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.29 sec) Clustered ROM            : DEBUG           -> Training segment 251 slice(6024, 6048, None)
(    5.29 sec) ARMA                     : DEBUG           -> Training...
(    5.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.30 sec) Clustered ROM            : DEBUG           -> Training segment 252 slice(6048, 6072, None)
(    5.30 sec) ARMA                     : DEBUG           -> Training...
(    5.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.31 sec) Clustered ROM            : DEBUG           -> Training segment 253 slice(6072, 6096, None)
(    5.31 sec) ARMA                     : DEBUG           -> Training...
(    5.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.32 sec) Clustered ROM            : DEBUG           -> Training segment 254 slice(6096, 6120, None)
(    5.32 sec) ARMA                     : DEBUG           -> Training...
(    5.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.35 sec) Clustered ROM            : DEBUG           -> Training segment 255 slice(6120, 6144, None)
(    5.35 sec) ARMA                     : DEBUG           -> Training...
(    5.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.36 sec) Clustered ROM            : DEBUG           -> Training segment 256 slice(6144, 6168, None)
(    5.36 sec) ARMA                     : DEBUG           -> Training...
(    5.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.38 sec) Clustered ROM            : DEBUG           -> Training segment 257 slice(6168, 6192, None)
(    5.38 sec) ARMA                     : DEBUG           -> Training...
(    5.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.42 sec) Clustered ROM            : DEBUG           -> Training segment 258 slice(6192, 6216, None)
(    5.42 sec) ARMA                     : DEBUG           -> Training...
(    5.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.44 sec) Clustered ROM            : DEBUG           -> Training segment 259 slice(6216, 6240, None)
(    5.44 sec) ARMA                     : DEBUG           -> Training...
(    5.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.44 sec) Clustered ROM            : DEBUG           -> Training segment 260 slice(6240, 6264, None)
(    5.44 sec) ARMA                     : DEBUG           -> Training...
(    5.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.45 sec) Clustered ROM            : DEBUG           -> Training segment 261 slice(6264, 6288, None)
(    5.45 sec) ARMA                     : DEBUG           -> Training...
(    5.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.47 sec) Clustered ROM            : DEBUG           -> Training segment 262 slice(6288, 6312, None)
(    5.47 sec) ARMA                     : DEBUG           -> Training...
(    5.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.48 sec) Clustered ROM            : DEBUG           -> Training segment 263 slice(6312, 6336, None)
(    5.48 sec) ARMA                     : DEBUG           -> Training...
(    5.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.50 sec) Clustered ROM            : DEBUG           -> Training segment 264 slice(6336, 6360, None)
(    5.50 sec) ARMA                     : DEBUG           -> Training...
(    5.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.51 sec) Clustered ROM            : DEBUG           -> Training segment 265 slice(6360, 6384, None)
(    5.51 sec) ARMA                     : DEBUG           -> Training...
(    5.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.51 sec) Clustered ROM            : DEBUG           -> Training segment 266 slice(6384, 6408, None)
(    5.51 sec) ARMA                     : DEBUG           -> Training...
(    5.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.53 sec) Clustered ROM            : DEBUG           -> Training segment 267 slice(6408, 6432, None)
(    5.53 sec) ARMA                     : DEBUG           -> Training...
(    5.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.56 sec) Clustered ROM            : DEBUG           -> Training segment 268 slice(6432, 6456, None)
(    5.56 sec) ARMA                     : DEBUG           -> Training...
(    5.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.57 sec) Clustered ROM            : DEBUG           -> Training segment 269 slice(6456, 6480, None)
(    5.57 sec) ARMA                     : DEBUG           -> Training...
(    5.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.59 sec) Clustered ROM            : DEBUG           -> Training segment 270 slice(6480, 6504, None)
(    5.59 sec) ARMA                     : DEBUG           -> Training...
(    5.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.59 sec) Clustered ROM            : DEBUG           -> Training segment 271 slice(6504, 6528, None)
(    5.59 sec) ARMA                     : DEBUG           -> Training...
(    5.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.60 sec) Clustered ROM            : DEBUG           -> Training segment 272 slice(6528, 6552, None)
(    5.60 sec) ARMA                     : DEBUG           -> Training...
(    5.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.62 sec) Clustered ROM            : DEBUG           -> Training segment 273 slice(6552, 6576, None)
(    5.62 sec) ARMA                     : DEBUG           -> Training...
(    5.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.63 sec) Clustered ROM            : DEBUG           -> Training segment 274 slice(6576, 6600, None)
(    5.63 sec) ARMA                     : DEBUG           -> Training...
(    5.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.64 sec) Clustered ROM            : DEBUG           -> Training segment 275 slice(6600, 6624, None)
(    5.64 sec) ARMA                     : DEBUG           -> Training...
(    5.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.65 sec) Clustered ROM            : DEBUG           -> Training segment 276 slice(6624, 6648, None)
(    5.65 sec) ARMA                     : DEBUG           -> Training...
(    5.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.67 sec) Clustered ROM            : DEBUG           -> Training segment 277 slice(6648, 6672, None)
(    5.67 sec) ARMA                     : DEBUG           -> Training...
(    5.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.69 sec) Clustered ROM            : DEBUG           -> Training segment 278 slice(6672, 6696, None)
(    5.69 sec) ARMA                     : DEBUG           -> Training...
(    5.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.70 sec) Clustered ROM            : DEBUG           -> Training segment 279 slice(6696, 6720, None)
(    5.70 sec) ARMA                     : DEBUG           -> Training...
(    5.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.71 sec) Clustered ROM            : DEBUG           -> Training segment 280 slice(6720, 6744, None)
(    5.71 sec) ARMA                     : DEBUG           -> Training...
(    5.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.73 sec) Clustered ROM            : DEBUG           -> Training segment 281 slice(6744, 6768, None)
(    5.73 sec) ARMA                     : DEBUG           -> Training...
(    5.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.77 sec) Clustered ROM            : DEBUG           -> Training segment 282 slice(6768, 6792, None)
(    5.77 sec) ARMA                     : DEBUG           -> Training...
(    5.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.77 sec) Clustered ROM            : DEBUG           -> Training segment 283 slice(6792, 6816, None)
(    5.77 sec) ARMA                     : DEBUG           -> Training...
(    5.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.79 sec) Clustered ROM            : DEBUG           -> Training segment 284 slice(6816, 6840, None)
(    5.79 sec) ARMA                     : DEBUG           -> Training...
(    5.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.81 sec) Clustered ROM            : DEBUG           -> Training segment 285 slice(6840, 6864, None)
(    5.81 sec) ARMA                     : DEBUG           -> Training...
(    5.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.81 sec) Clustered ROM            : DEBUG           -> Training segment 286 slice(6864, 6888, None)
(    5.81 sec) ARMA                     : DEBUG           -> Training...
(    5.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.83 sec) Clustered ROM            : DEBUG           -> Training segment 287 slice(6888, 6912, None)
(    5.83 sec) ARMA                     : DEBUG           -> Training...
(    5.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.84 sec) Clustered ROM            : DEBUG           -> Training segment 288 slice(6912, 6936, None)
(    5.84 sec) ARMA                     : DEBUG           -> Training...
(    5.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.85 sec) Clustered ROM            : DEBUG           -> Training segment 289 slice(6936, 6960, None)
(    5.85 sec) ARMA                     : DEBUG           -> Training...
(    5.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.87 sec) Clustered ROM            : DEBUG           -> Training segment 290 slice(6960, 6984, None)
(    5.87 sec) ARMA                     : DEBUG           -> Training...
(    5.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.89 sec) Clustered ROM            : DEBUG           -> Training segment 291 slice(6984, 7008, None)
(    5.89 sec) ARMA                     : DEBUG           -> Training...
(    5.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.90 sec) Clustered ROM            : DEBUG           -> Training segment 292 slice(7008, 7032, None)
(    5.90 sec) ARMA                     : DEBUG           -> Training...
(    5.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.92 sec) Clustered ROM            : DEBUG           -> Training segment 293 slice(7032, 7056, None)
(    5.92 sec) ARMA                     : DEBUG           -> Training...
(    5.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.94 sec) Clustered ROM            : DEBUG           -> Training segment 294 slice(7056, 7080, None)
(    5.94 sec) ARMA                     : DEBUG           -> Training...
(    5.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.95 sec) Clustered ROM            : DEBUG           -> Training segment 295 slice(7080, 7104, None)
(    5.95 sec) ARMA                     : DEBUG           -> Training...
(    5.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.95 sec) Clustered ROM            : DEBUG           -> Training segment 296 slice(7104, 7128, None)
(    5.95 sec) ARMA                     : DEBUG           -> Training...
(    5.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.97 sec) Clustered ROM            : DEBUG           -> Training segment 297 slice(7128, 7152, None)
(    5.97 sec) ARMA                     : DEBUG           -> Training...
(    5.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    5.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    5.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    5.99 sec) Clustered ROM            : DEBUG           -> Training segment 298 slice(7152, 7176, None)
(    5.99 sec) ARMA                     : DEBUG           -> Training...
(    5.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    5.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    5.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    5.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.00 sec) Clustered ROM            : DEBUG           -> Training segment 299 slice(7176, 7200, None)
(    6.00 sec) ARMA                     : DEBUG           -> Training...
(    6.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.02 sec) Clustered ROM            : DEBUG           -> Training segment 300 slice(7200, 7224, None)
(    6.02 sec) ARMA                     : DEBUG           -> Training...
(    6.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.06 sec) Clustered ROM            : DEBUG           -> Training segment 301 slice(7224, 7248, None)
(    6.06 sec) ARMA                     : DEBUG           -> Training...
(    6.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.07 sec) Clustered ROM            : DEBUG           -> Training segment 302 slice(7248, 7272, None)
(    6.07 sec) ARMA                     : DEBUG           -> Training...
(    6.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.08 sec) Clustered ROM            : DEBUG           -> Training segment 303 slice(7272, 7296, None)
(    6.08 sec) ARMA                     : DEBUG           -> Training...
(    6.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.09 sec) Clustered ROM            : DEBUG           -> Training segment 304 slice(7296, 7320, None)
(    6.09 sec) ARMA                     : DEBUG           -> Training...
(    6.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.10 sec) Clustered ROM            : DEBUG           -> Training segment 305 slice(7320, 7344, None)
(    6.10 sec) ARMA                     : DEBUG           -> Training...
(    6.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.12 sec) Clustered ROM            : DEBUG           -> Training segment 306 slice(7344, 7368, None)
(    6.12 sec) ARMA                     : DEBUG           -> Training...
(    6.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.12 sec) Clustered ROM            : DEBUG           -> Training segment 307 slice(7368, 7392, None)
(    6.12 sec) ARMA                     : DEBUG           -> Training...
(    6.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.14 sec) Clustered ROM            : DEBUG           -> Training segment 308 slice(7392, 7416, None)
(    6.14 sec) ARMA                     : DEBUG           -> Training...
(    6.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.18 sec) Clustered ROM            : DEBUG           -> Training segment 309 slice(7416, 7440, None)
(    6.18 sec) ARMA                     : DEBUG           -> Training...
(    6.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.18 sec) Clustered ROM            : DEBUG           -> Training segment 310 slice(7440, 7464, None)
(    6.18 sec) ARMA                     : DEBUG           -> Training...
(    6.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.20 sec) Clustered ROM            : DEBUG           -> Training segment 311 slice(7464, 7488, None)
(    6.20 sec) ARMA                     : DEBUG           -> Training...
(    6.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.22 sec) Clustered ROM            : DEBUG           -> Training segment 312 slice(7488, 7512, None)
(    6.22 sec) ARMA                     : DEBUG           -> Training...
(    6.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.23 sec) Clustered ROM            : DEBUG           -> Training segment 313 slice(7512, 7536, None)
(    6.23 sec) ARMA                     : DEBUG           -> Training...
(    6.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.25 sec) Clustered ROM            : DEBUG           -> Training segment 314 slice(7536, 7560, None)
(    6.25 sec) ARMA                     : DEBUG           -> Training...
(    6.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.27 sec) Clustered ROM            : DEBUG           -> Training segment 315 slice(7560, 7584, None)
(    6.27 sec) ARMA                     : DEBUG           -> Training...
(    6.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.29 sec) Clustered ROM            : DEBUG           -> Training segment 316 slice(7584, 7608, None)
(    6.29 sec) ARMA                     : DEBUG           -> Training...
(    6.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.30 sec) Clustered ROM            : DEBUG           -> Training segment 317 slice(7608, 7632, None)
(    6.30 sec) ARMA                     : DEBUG           -> Training...
(    6.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.31 sec) Clustered ROM            : DEBUG           -> Training segment 318 slice(7632, 7656, None)
(    6.31 sec) ARMA                     : DEBUG           -> Training...
(    6.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.32 sec) Clustered ROM            : DEBUG           -> Training segment 319 slice(7656, 7680, None)
(    6.32 sec) ARMA                     : DEBUG           -> Training...
(    6.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.34 sec) Clustered ROM            : DEBUG           -> Training segment 320 slice(7680, 7704, None)
(    6.34 sec) ARMA                     : DEBUG           -> Training...
(    6.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.35 sec) Clustered ROM            : DEBUG           -> Training segment 321 slice(7704, 7728, None)
(    6.35 sec) ARMA                     : DEBUG           -> Training...
(    6.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.36 sec) Clustered ROM            : DEBUG           -> Training segment 322 slice(7728, 7752, None)
(    6.36 sec) ARMA                     : DEBUG           -> Training...
(    6.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.37 sec) Clustered ROM            : DEBUG           -> Training segment 323 slice(7752, 7776, None)
(    6.37 sec) ARMA                     : DEBUG           -> Training...
(    6.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.39 sec) Clustered ROM            : DEBUG           -> Training segment 324 slice(7776, 7800, None)
(    6.39 sec) ARMA                     : DEBUG           -> Training...
(    6.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.40 sec) Clustered ROM            : DEBUG           -> Training segment 325 slice(7800, 7824, None)
(    6.40 sec) ARMA                     : DEBUG           -> Training...
(    6.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.41 sec) Clustered ROM            : DEBUG           -> Training segment 326 slice(7824, 7848, None)
(    6.41 sec) ARMA                     : DEBUG           -> Training...
(    6.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.43 sec) Clustered ROM            : DEBUG           -> Training segment 327 slice(7848, 7872, None)
(    6.43 sec) ARMA                     : DEBUG           -> Training...
(    6.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.43 sec) Clustered ROM            : DEBUG           -> Training segment 328 slice(7872, 7896, None)
(    6.43 sec) ARMA                     : DEBUG           -> Training...
(    6.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.45 sec) Clustered ROM            : DEBUG           -> Training segment 329 slice(7896, 7920, None)
(    6.45 sec) ARMA                     : DEBUG           -> Training...
(    6.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.46 sec) Clustered ROM            : DEBUG           -> Training segment 330 slice(7920, 7944, None)
(    6.46 sec) ARMA                     : DEBUG           -> Training...
(    6.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.47 sec) Clustered ROM            : DEBUG           -> Training segment 331 slice(7944, 7968, None)
(    6.47 sec) ARMA                     : DEBUG           -> Training...
(    6.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.48 sec) Clustered ROM            : DEBUG           -> Training segment 332 slice(7968, 7992, None)
(    6.48 sec) ARMA                     : DEBUG           -> Training...
(    6.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.48 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.50 sec) Clustered ROM            : DEBUG           -> Training segment 333 slice(7992, 8016, None)
(    6.50 sec) ARMA                     : DEBUG           -> Training...
(    6.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.51 sec) Clustered ROM            : DEBUG           -> Training segment 334 slice(8016, 8040, None)
(    6.51 sec) ARMA                     : DEBUG           -> Training...
(    6.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.52 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.52 sec) Clustered ROM            : DEBUG           -> Training segment 335 slice(8040, 8064, None)
(    6.52 sec) ARMA                     : DEBUG           -> Training...
(    6.52 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.52 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.53 sec) Clustered ROM            : DEBUG           -> Training segment 336 slice(8064, 8088, None)
(    6.53 sec) ARMA                     : DEBUG           -> Training...
(    6.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.54 sec) Clustered ROM            : DEBUG           -> Training segment 337 slice(8088, 8112, None)
(    6.55 sec) ARMA                     : DEBUG           -> Training...
(    6.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.58 sec) Clustered ROM            : DEBUG           -> Training segment 338 slice(8112, 8136, None)
(    6.58 sec) ARMA                     : DEBUG           -> Training...
(    6.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.60 sec) Clustered ROM            : DEBUG           -> Training segment 339 slice(8136, 8160, None)
(    6.60 sec) ARMA                     : DEBUG           -> Training...
(    6.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.62 sec) Clustered ROM            : DEBUG           -> Training segment 340 slice(8160, 8184, None)
(    6.62 sec) ARMA                     : DEBUG           -> Training...
(    6.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.63 sec) Clustered ROM            : DEBUG           -> Training segment 341 slice(8184, 8208, None)
(    6.63 sec) ARMA                     : DEBUG           -> Training...
(    6.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.64 sec) Clustered ROM            : DEBUG           -> Training segment 342 slice(8208, 8232, None)
(    6.64 sec) ARMA                     : DEBUG           -> Training...
(    6.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.66 sec) Clustered ROM            : DEBUG           -> Training segment 343 slice(8232, 8256, None)
(    6.66 sec) ARMA                     : DEBUG           -> Training...
(    6.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.68 sec) Clustered ROM            : DEBUG           -> Training segment 344 slice(8256, 8280, None)
(    6.69 sec) ARMA                     : DEBUG           -> Training...
(    6.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.70 sec) Clustered ROM            : DEBUG           -> Training segment 345 slice(8280, 8304, None)
(    6.70 sec) ARMA                     : DEBUG           -> Training...
(    6.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.71 sec) Clustered ROM            : DEBUG           -> Training segment 346 slice(8304, 8328, None)
(    6.71 sec) ARMA                     : DEBUG           -> Training...
(    6.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.72 sec) Clustered ROM            : DEBUG           -> Training segment 347 slice(8328, 8352, None)
(    6.72 sec) ARMA                     : DEBUG           -> Training...
(    6.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.73 sec) Clustered ROM            : DEBUG           -> Training segment 348 slice(8352, 8376, None)
(    6.73 sec) ARMA                     : DEBUG           -> Training...
(    6.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.74 sec) Clustered ROM            : DEBUG           -> Training segment 349 slice(8376, 8400, None)
(    6.74 sec) ARMA                     : DEBUG           -> Training...
(    6.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.75 sec) Clustered ROM            : DEBUG           -> Training segment 350 slice(8400, 8424, None)
(    6.75 sec) ARMA                     : DEBUG           -> Training...
(    6.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.77 sec) Clustered ROM            : DEBUG           -> Training segment 351 slice(8424, 8448, None)
(    6.77 sec) ARMA                     : DEBUG           -> Training...
(    6.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.79 sec) Clustered ROM            : DEBUG           -> Training segment 352 slice(8448, 8472, None)
(    6.79 sec) ARMA                     : DEBUG           -> Training...
(    6.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.82 sec) Clustered ROM            : DEBUG           -> Training segment 353 slice(8472, 8496, None)
(    6.82 sec) ARMA                     : DEBUG           -> Training...
(    6.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.84 sec) Clustered ROM            : DEBUG           -> Training segment 354 slice(8496, 8520, None)
(    6.84 sec) ARMA                     : DEBUG           -> Training...
(    6.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.86 sec) Clustered ROM            : DEBUG           -> Training segment 355 slice(8520, 8544, None)
(    6.86 sec) ARMA                     : DEBUG           -> Training...
(    6.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.87 sec) Clustered ROM            : DEBUG           -> Training segment 356 slice(8544, 8568, None)
(    6.87 sec) ARMA                     : DEBUG           -> Training...
(    6.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.89 sec) Clustered ROM            : DEBUG           -> Training segment 357 slice(8568, 8592, None)
(    6.89 sec) ARMA                     : DEBUG           -> Training...
(    6.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.90 sec) Clustered ROM            : DEBUG           -> Training segment 358 slice(8592, 8616, None)
(    6.90 sec) ARMA                     : DEBUG           -> Training...
(    6.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.91 sec) Clustered ROM            : DEBUG           -> Training segment 359 slice(8616, 8640, None)
(    6.91 sec) ARMA                     : DEBUG           -> Training...
(    6.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.94 sec) Clustered ROM            : DEBUG           -> Training segment 360 slice(8640, 8664, None)
(    6.94 sec) ARMA                     : DEBUG           -> Training...
(    6.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.96 sec) Clustered ROM            : DEBUG           -> Training segment 361 slice(8664, 8688, None)
(    6.96 sec) ARMA                     : DEBUG           -> Training...
(    6.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.97 sec) Clustered ROM            : DEBUG           -> Training segment 362 slice(8688, 8712, None)
(    6.97 sec) ARMA                     : DEBUG           -> Training...
(    6.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.98 sec) Clustered ROM            : DEBUG           -> Training segment 363 slice(8712, 8736, None)
(    6.98 sec) ARMA                     : DEBUG           -> Training...
(    6.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    6.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    6.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    6.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    6.99 sec) Clustered ROM            : DEBUG           -> Training segment 364 slice(8736, 8760, None)
(    6.99 sec) ARMA                     : DEBUG           -> Training...
(    6.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    6.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    6.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.06 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(    7.06 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(    7.17 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(    7.17 sec) Interp. Cluster ROM      : DEBUG           -> Training Statepoint Year 1 ...
(    7.17 sec) Clustered ROM            : DEBUG           -> Training segmented subspaces for "arma" ...
(    7.18 sec) Clustered ROM            : DEBUG           -> Dividing         hour         into  365  divisions for training ...
DEBUGG no ZF here!
(    7.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.18 sec) Clustered ROM            : DEBUG           -> Training segment 0 slice(0, 24, None)
(    7.18 sec) ARMA                     : DEBUG           -> Training...
(    7.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.20 sec) Clustered ROM            : DEBUG           -> Training segment 1 slice(24, 48, None)
(    7.20 sec) ARMA                     : DEBUG           -> Training...
(    7.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.21 sec) Clustered ROM            : DEBUG           -> Training segment 2 slice(48, 72, None)
(    7.21 sec) ARMA                     : DEBUG           -> Training...
(    7.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.22 sec) Clustered ROM            : DEBUG           -> Training segment 3 slice(72, 96, None)
(    7.22 sec) ARMA                     : DEBUG           -> Training...
(    7.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.23 sec) Clustered ROM            : DEBUG           -> Training segment 4 slice(96, 120, None)
(    7.23 sec) ARMA                     : DEBUG           -> Training...
(    7.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.24 sec) Clustered ROM            : DEBUG           -> Training segment 5 slice(120, 144, None)
(    7.24 sec) ARMA                     : DEBUG           -> Training...
(    7.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.26 sec) Clustered ROM            : DEBUG           -> Training segment 6 slice(144, 168, None)
(    7.26 sec) ARMA                     : DEBUG           -> Training...
(    7.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.27 sec) Clustered ROM            : DEBUG           -> Training segment 7 slice(168, 192, None)
(    7.27 sec) ARMA                     : DEBUG           -> Training...
(    7.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.28 sec) Clustered ROM            : DEBUG           -> Training segment 8 slice(192, 216, None)
(    7.28 sec) ARMA                     : DEBUG           -> Training...
(    7.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.30 sec) Clustered ROM            : DEBUG           -> Training segment 9 slice(216, 240, None)
(    7.30 sec) ARMA                     : DEBUG           -> Training...
(    7.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.31 sec) Clustered ROM            : DEBUG           -> Training segment 10 slice(240, 264, None)
(    7.31 sec) ARMA                     : DEBUG           -> Training...
(    7.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.34 sec) Clustered ROM            : DEBUG           -> Training segment 11 slice(264, 288, None)
(    7.34 sec) ARMA                     : DEBUG           -> Training...
(    7.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.35 sec) Clustered ROM            : DEBUG           -> Training segment 12 slice(288, 312, None)
(    7.35 sec) ARMA                     : DEBUG           -> Training...
(    7.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.39 sec) Clustered ROM            : DEBUG           -> Training segment 13 slice(312, 336, None)
(    7.39 sec) ARMA                     : DEBUG           -> Training...
(    7.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.40 sec) Clustered ROM            : DEBUG           -> Training segment 14 slice(336, 360, None)
(    7.40 sec) ARMA                     : DEBUG           -> Training...
(    7.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.41 sec) Clustered ROM            : DEBUG           -> Training segment 15 slice(360, 384, None)
(    7.41 sec) ARMA                     : DEBUG           -> Training...
(    7.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.41 sec) Clustered ROM            : DEBUG           -> Training segment 16 slice(384, 408, None)
(    7.41 sec) ARMA                     : DEBUG           -> Training...
(    7.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.42 sec) Clustered ROM            : DEBUG           -> Training segment 17 slice(408, 432, None)
(    7.42 sec) ARMA                     : DEBUG           -> Training...
(    7.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.44 sec) Clustered ROM            : DEBUG           -> Training segment 18 slice(432, 456, None)
(    7.44 sec) ARMA                     : DEBUG           -> Training...
(    7.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.46 sec) Clustered ROM            : DEBUG           -> Training segment 19 slice(456, 480, None)
(    7.46 sec) ARMA                     : DEBUG           -> Training...
(    7.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.46 sec) Clustered ROM            : DEBUG           -> Training segment 20 slice(480, 504, None)
(    7.46 sec) ARMA                     : DEBUG           -> Training...
(    7.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.50 sec) Clustered ROM            : DEBUG           -> Training segment 21 slice(504, 528, None)
(    7.50 sec) ARMA                     : DEBUG           -> Training...
(    7.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.52 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.52 sec) Clustered ROM            : DEBUG           -> Training segment 22 slice(528, 552, None)
(    7.52 sec) ARMA                     : DEBUG           -> Training...
(    7.52 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.52 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.53 sec) Clustered ROM            : DEBUG           -> Training segment 23 slice(552, 576, None)
(    7.53 sec) ARMA                     : DEBUG           -> Training...
(    7.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.54 sec) Clustered ROM            : DEBUG           -> Training segment 24 slice(576, 600, None)
(    7.54 sec) ARMA                     : DEBUG           -> Training...
(    7.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.56 sec) Clustered ROM            : DEBUG           -> Training segment 25 slice(600, 624, None)
(    7.56 sec) ARMA                     : DEBUG           -> Training...
(    7.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.57 sec) Clustered ROM            : DEBUG           -> Training segment 26 slice(624, 648, None)
(    7.58 sec) ARMA                     : DEBUG           -> Training...
(    7.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.59 sec) Clustered ROM            : DEBUG           -> Training segment 27 slice(648, 672, None)
(    7.59 sec) ARMA                     : DEBUG           -> Training...
(    7.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.60 sec) Clustered ROM            : DEBUG           -> Training segment 28 slice(672, 696, None)
(    7.60 sec) ARMA                     : DEBUG           -> Training...
(    7.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.61 sec) Clustered ROM            : DEBUG           -> Training segment 29 slice(696, 720, None)
(    7.61 sec) ARMA                     : DEBUG           -> Training...
(    7.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.63 sec) Clustered ROM            : DEBUG           -> Training segment 30 slice(720, 744, None)
(    7.63 sec) ARMA                     : DEBUG           -> Training...
(    7.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.63 sec) Clustered ROM            : DEBUG           -> Training segment 31 slice(744, 768, None)
(    7.63 sec) ARMA                     : DEBUG           -> Training...
(    7.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.67 sec) Clustered ROM            : DEBUG           -> Training segment 32 slice(768, 792, None)
(    7.67 sec) ARMA                     : DEBUG           -> Training...
(    7.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.67 sec) Clustered ROM            : DEBUG           -> Training segment 33 slice(792, 816, None)
(    7.67 sec) ARMA                     : DEBUG           -> Training...
(    7.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.71 sec) Clustered ROM            : DEBUG           -> Training segment 34 slice(816, 840, None)
(    7.71 sec) ARMA                     : DEBUG           -> Training...
(    7.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.72 sec) Clustered ROM            : DEBUG           -> Training segment 35 slice(840, 864, None)
(    7.72 sec) ARMA                     : DEBUG           -> Training...
(    7.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.75 sec) Clustered ROM            : DEBUG           -> Training segment 36 slice(864, 888, None)
(    7.75 sec) ARMA                     : DEBUG           -> Training...
(    7.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.76 sec) Clustered ROM            : DEBUG           -> Training segment 37 slice(888, 912, None)
(    7.76 sec) ARMA                     : DEBUG           -> Training...
(    7.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.78 sec) Clustered ROM            : DEBUG           -> Training segment 38 slice(912, 936, None)
(    7.78 sec) ARMA                     : DEBUG           -> Training...
(    7.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.79 sec) Clustered ROM            : DEBUG           -> Training segment 39 slice(936, 960, None)
(    7.79 sec) ARMA                     : DEBUG           -> Training...
(    7.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.80 sec) Clustered ROM            : DEBUG           -> Training segment 40 slice(960, 984, None)
(    7.80 sec) ARMA                     : DEBUG           -> Training...
(    7.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.81 sec) Clustered ROM            : DEBUG           -> Training segment 41 slice(984, 1008, None)
(    7.81 sec) ARMA                     : DEBUG           -> Training...
(    7.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.82 sec) Clustered ROM            : DEBUG           -> Training segment 42 slice(1008, 1032, None)
(    7.82 sec) ARMA                     : DEBUG           -> Training...
(    7.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.83 sec) Clustered ROM            : DEBUG           -> Training segment 43 slice(1032, 1056, None)
(    7.83 sec) ARMA                     : DEBUG           -> Training...
(    7.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.85 sec) Clustered ROM            : DEBUG           -> Training segment 44 slice(1056, 1080, None)
(    7.85 sec) ARMA                     : DEBUG           -> Training...
(    7.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.85 sec) Clustered ROM            : DEBUG           -> Training segment 45 slice(1080, 1104, None)
(    7.85 sec) ARMA                     : DEBUG           -> Training...
(    7.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.87 sec) Clustered ROM            : DEBUG           -> Training segment 46 slice(1104, 1128, None)
(    7.87 sec) ARMA                     : DEBUG           -> Training...
(    7.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.89 sec) Clustered ROM            : DEBUG           -> Training segment 47 slice(1128, 1152, None)
(    7.89 sec) ARMA                     : DEBUG           -> Training...
(    7.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.92 sec) Clustered ROM            : DEBUG           -> Training segment 48 slice(1152, 1176, None)
(    7.92 sec) ARMA                     : DEBUG           -> Training...
(    7.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.93 sec) Clustered ROM            : DEBUG           -> Training segment 49 slice(1176, 1200, None)
(    7.93 sec) ARMA                     : DEBUG           -> Training...
(    7.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.94 sec) Clustered ROM            : DEBUG           -> Training segment 50 slice(1200, 1224, None)
(    7.94 sec) ARMA                     : DEBUG           -> Training...
(    7.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.95 sec) Clustered ROM            : DEBUG           -> Training segment 51 slice(1224, 1248, None)
(    7.95 sec) ARMA                     : DEBUG           -> Training...
(    7.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.97 sec) Clustered ROM            : DEBUG           -> Training segment 52 slice(1248, 1272, None)
(    7.97 sec) ARMA                     : DEBUG           -> Training...
(    7.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    7.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    7.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    7.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    7.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    7.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    7.99 sec) Clustered ROM            : DEBUG           -> Training segment 53 slice(1272, 1296, None)
(    7.99 sec) ARMA                     : DEBUG           -> Training...
(    8.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.01 sec) Clustered ROM            : DEBUG           -> Training segment 54 slice(1296, 1320, None)
(    8.01 sec) ARMA                     : DEBUG           -> Training...
(    8.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.02 sec) Clustered ROM            : DEBUG           -> Training segment 55 slice(1320, 1344, None)
(    8.02 sec) ARMA                     : DEBUG           -> Training...
(    8.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.03 sec) Clustered ROM            : DEBUG           -> Training segment 56 slice(1344, 1368, None)
(    8.03 sec) ARMA                     : DEBUG           -> Training...
(    8.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.04 sec) Clustered ROM            : DEBUG           -> Training segment 57 slice(1368, 1392, None)
(    8.04 sec) ARMA                     : DEBUG           -> Training...
(    8.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.05 sec) Clustered ROM            : DEBUG           -> Training segment 58 slice(1392, 1416, None)
(    8.05 sec) ARMA                     : DEBUG           -> Training...
(    8.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.06 sec) Clustered ROM            : DEBUG           -> Training segment 59 slice(1416, 1440, None)
(    8.06 sec) ARMA                     : DEBUG           -> Training...
(    8.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.08 sec) Clustered ROM            : DEBUG           -> Training segment 60 slice(1440, 1464, None)
(    8.08 sec) ARMA                     : DEBUG           -> Training...
(    8.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.08 sec) Clustered ROM            : DEBUG           -> Training segment 61 slice(1464, 1488, None)
(    8.08 sec) ARMA                     : DEBUG           -> Training...
(    8.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.09 sec) Clustered ROM            : DEBUG           -> Training segment 62 slice(1488, 1512, None)
(    8.09 sec) ARMA                     : DEBUG           -> Training...
(    8.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.10 sec) Clustered ROM            : DEBUG           -> Training segment 63 slice(1512, 1536, None)
(    8.10 sec) ARMA                     : DEBUG           -> Training...
(    8.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.11 sec) Clustered ROM            : DEBUG           -> Training segment 64 slice(1536, 1560, None)
(    8.11 sec) ARMA                     : DEBUG           -> Training...
(    8.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.12 sec) Clustered ROM            : DEBUG           -> Training segment 65 slice(1560, 1584, None)
(    8.12 sec) ARMA                     : DEBUG           -> Training...
(    8.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.14 sec) Clustered ROM            : DEBUG           -> Training segment 66 slice(1584, 1608, None)
(    8.14 sec) ARMA                     : DEBUG           -> Training...
(    8.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.15 sec) Clustered ROM            : DEBUG           -> Training segment 67 slice(1608, 1632, None)
(    8.15 sec) ARMA                     : DEBUG           -> Training...
(    8.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.17 sec) Clustered ROM            : DEBUG           -> Training segment 68 slice(1632, 1656, None)
(    8.17 sec) ARMA                     : DEBUG           -> Training...
(    8.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.19 sec) Clustered ROM            : DEBUG           -> Training segment 69 slice(1656, 1680, None)
(    8.19 sec) ARMA                     : DEBUG           -> Training...
(    8.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.20 sec) Clustered ROM            : DEBUG           -> Training segment 70 slice(1680, 1704, None)
(    8.20 sec) ARMA                     : DEBUG           -> Training...
(    8.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.21 sec) Clustered ROM            : DEBUG           -> Training segment 71 slice(1704, 1728, None)
(    8.21 sec) ARMA                     : DEBUG           -> Training...
(    8.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.22 sec) Clustered ROM            : DEBUG           -> Training segment 72 slice(1728, 1752, None)
(    8.22 sec) ARMA                     : DEBUG           -> Training...
(    8.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.24 sec) Clustered ROM            : DEBUG           -> Training segment 73 slice(1752, 1776, None)
(    8.24 sec) ARMA                     : DEBUG           -> Training...
(    8.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.25 sec) Clustered ROM            : DEBUG           -> Training segment 74 slice(1776, 1800, None)
(    8.25 sec) ARMA                     : DEBUG           -> Training...
(    8.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.26 sec) Clustered ROM            : DEBUG           -> Training segment 75 slice(1800, 1824, None)
(    8.26 sec) ARMA                     : DEBUG           -> Training...
(    8.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.27 sec) Clustered ROM            : DEBUG           -> Training segment 76 slice(1824, 1848, None)
(    8.27 sec) ARMA                     : DEBUG           -> Training...
(    8.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.29 sec) Clustered ROM            : DEBUG           -> Training segment 77 slice(1848, 1872, None)
(    8.29 sec) ARMA                     : DEBUG           -> Training...
(    8.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.30 sec) Clustered ROM            : DEBUG           -> Training segment 78 slice(1872, 1896, None)
(    8.30 sec) ARMA                     : DEBUG           -> Training...
(    8.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.30 sec) Clustered ROM            : DEBUG           -> Training segment 79 slice(1896, 1920, None)
(    8.30 sec) ARMA                     : DEBUG           -> Training...
(    8.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.32 sec) Clustered ROM            : DEBUG           -> Training segment 80 slice(1920, 1944, None)
(    8.32 sec) ARMA                     : DEBUG           -> Training...
(    8.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.33 sec) Clustered ROM            : DEBUG           -> Training segment 81 slice(1944, 1968, None)
(    8.33 sec) ARMA                     : DEBUG           -> Training...
(    8.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.34 sec) Clustered ROM            : DEBUG           -> Training segment 82 slice(1968, 1992, None)
(    8.34 sec) ARMA                     : DEBUG           -> Training...
(    8.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.35 sec) Clustered ROM            : DEBUG           -> Training segment 83 slice(1992, 2016, None)
(    8.35 sec) ARMA                     : DEBUG           -> Training...
(    8.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.36 sec) Clustered ROM            : DEBUG           -> Training segment 84 slice(2016, 2040, None)
(    8.36 sec) ARMA                     : DEBUG           -> Training...
(    8.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.37 sec) Clustered ROM            : DEBUG           -> Training segment 85 slice(2040, 2064, None)
(    8.37 sec) ARMA                     : DEBUG           -> Training...
(    8.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.38 sec) Clustered ROM            : DEBUG           -> Training segment 86 slice(2064, 2088, None)
(    8.38 sec) ARMA                     : DEBUG           -> Training...
(    8.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.40 sec) Clustered ROM            : DEBUG           -> Training segment 87 slice(2088, 2112, None)
(    8.40 sec) ARMA                     : DEBUG           -> Training...
(    8.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.41 sec) Clustered ROM            : DEBUG           -> Training segment 88 slice(2112, 2136, None)
(    8.41 sec) ARMA                     : DEBUG           -> Training...
(    8.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.42 sec) Clustered ROM            : DEBUG           -> Training segment 89 slice(2136, 2160, None)
(    8.42 sec) ARMA                     : DEBUG           -> Training...
(    8.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.43 sec) Clustered ROM            : DEBUG           -> Training segment 90 slice(2160, 2184, None)
(    8.43 sec) ARMA                     : DEBUG           -> Training...
(    8.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.44 sec) Clustered ROM            : DEBUG           -> Training segment 91 slice(2184, 2208, None)
(    8.44 sec) ARMA                     : DEBUG           -> Training...
(    8.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.46 sec) Clustered ROM            : DEBUG           -> Training segment 92 slice(2208, 2232, None)
(    8.46 sec) ARMA                     : DEBUG           -> Training...
(    8.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.46 sec) Clustered ROM            : DEBUG           -> Training segment 93 slice(2232, 2256, None)
(    8.46 sec) ARMA                     : DEBUG           -> Training...
(    8.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.47 sec) Clustered ROM            : DEBUG           -> Training segment 94 slice(2256, 2280, None)
(    8.47 sec) ARMA                     : DEBUG           -> Training...
(    8.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.48 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.49 sec) Clustered ROM            : DEBUG           -> Training segment 95 slice(2280, 2304, None)
(    8.49 sec) ARMA                     : DEBUG           -> Training...
(    8.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.50 sec) Clustered ROM            : DEBUG           -> Training segment 96 slice(2304, 2328, None)
(    8.50 sec) ARMA                     : DEBUG           -> Training...
(    8.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.54 sec) Clustered ROM            : DEBUG           -> Training segment 97 slice(2328, 2352, None)
(    8.54 sec) ARMA                     : DEBUG           -> Training...
(    8.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.55 sec) Clustered ROM            : DEBUG           -> Training segment 98 slice(2352, 2376, None)
(    8.55 sec) ARMA                     : DEBUG           -> Training...
(    8.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.56 sec) Clustered ROM            : DEBUG           -> Training segment 99 slice(2376, 2400, None)
(    8.56 sec) ARMA                     : DEBUG           -> Training...
(    8.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.56 sec) Clustered ROM            : DEBUG           -> Training segment 100 slice(2400, 2424, None)
(    8.56 sec) ARMA                     : DEBUG           -> Training...
(    8.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.58 sec) Clustered ROM            : DEBUG           -> Training segment 101 slice(2424, 2448, None)
(    8.58 sec) ARMA                     : DEBUG           -> Training...
(    8.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.60 sec) Clustered ROM            : DEBUG           -> Training segment 102 slice(2448, 2472, None)
(    8.60 sec) ARMA                     : DEBUG           -> Training...
(    8.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.62 sec) Clustered ROM            : DEBUG           -> Training segment 103 slice(2472, 2496, None)
(    8.62 sec) ARMA                     : DEBUG           -> Training...
(    8.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.63 sec) Clustered ROM            : DEBUG           -> Training segment 104 slice(2496, 2520, None)
(    8.63 sec) ARMA                     : DEBUG           -> Training...
(    8.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.64 sec) Clustered ROM            : DEBUG           -> Training segment 105 slice(2520, 2544, None)
(    8.64 sec) ARMA                     : DEBUG           -> Training...
(    8.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.65 sec) Clustered ROM            : DEBUG           -> Training segment 106 slice(2544, 2568, None)
(    8.65 sec) ARMA                     : DEBUG           -> Training...
(    8.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.67 sec) Clustered ROM            : DEBUG           -> Training segment 107 slice(2568, 2592, None)
(    8.67 sec) ARMA                     : DEBUG           -> Training...
(    8.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.69 sec) Clustered ROM            : DEBUG           -> Training segment 108 slice(2592, 2616, None)
(    8.69 sec) ARMA                     : DEBUG           -> Training...
(    8.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.70 sec) Clustered ROM            : DEBUG           -> Training segment 109 slice(2616, 2640, None)
(    8.70 sec) ARMA                     : DEBUG           -> Training...
(    8.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.71 sec) Clustered ROM            : DEBUG           -> Training segment 110 slice(2640, 2664, None)
(    8.71 sec) ARMA                     : DEBUG           -> Training...
(    8.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.73 sec) Clustered ROM            : DEBUG           -> Training segment 111 slice(2664, 2688, None)
(    8.73 sec) ARMA                     : DEBUG           -> Training...
(    8.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.74 sec) Clustered ROM            : DEBUG           -> Training segment 112 slice(2688, 2712, None)
(    8.74 sec) ARMA                     : DEBUG           -> Training...
(    8.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.75 sec) Clustered ROM            : DEBUG           -> Training segment 113 slice(2712, 2736, None)
(    8.75 sec) ARMA                     : DEBUG           -> Training...
(    8.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.76 sec) Clustered ROM            : DEBUG           -> Training segment 114 slice(2736, 2760, None)
(    8.76 sec) ARMA                     : DEBUG           -> Training...
(    8.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.78 sec) Clustered ROM            : DEBUG           -> Training segment 115 slice(2760, 2784, None)
(    8.78 sec) ARMA                     : DEBUG           -> Training...
(    8.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.79 sec) Clustered ROM            : DEBUG           -> Training segment 116 slice(2784, 2808, None)
(    8.79 sec) ARMA                     : DEBUG           -> Training...
(    8.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.80 sec) Clustered ROM            : DEBUG           -> Training segment 117 slice(2808, 2832, None)
(    8.80 sec) ARMA                     : DEBUG           -> Training...
(    8.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.84 sec) Clustered ROM            : DEBUG           -> Training segment 118 slice(2832, 2856, None)
(    8.84 sec) ARMA                     : DEBUG           -> Training...
(    8.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.85 sec) Clustered ROM            : DEBUG           -> Training segment 119 slice(2856, 2880, None)
(    8.85 sec) ARMA                     : DEBUG           -> Training...
(    8.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.89 sec) Clustered ROM            : DEBUG           -> Training segment 120 slice(2880, 2904, None)
(    8.89 sec) ARMA                     : DEBUG           -> Training...
(    8.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.89 sec) Clustered ROM            : DEBUG           -> Training segment 121 slice(2904, 2928, None)
(    8.89 sec) ARMA                     : DEBUG           -> Training...
(    8.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.91 sec) Clustered ROM            : DEBUG           -> Training segment 122 slice(2928, 2952, None)
(    8.91 sec) ARMA                     : DEBUG           -> Training...
(    8.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.92 sec) Clustered ROM            : DEBUG           -> Training segment 123 slice(2952, 2976, None)
(    8.92 sec) ARMA                     : DEBUG           -> Training...
(    8.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.93 sec) Clustered ROM            : DEBUG           -> Training segment 124 slice(2976, 3000, None)
(    8.93 sec) ARMA                     : DEBUG           -> Training...
(    8.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.94 sec) Clustered ROM            : DEBUG           -> Training segment 125 slice(3000, 3024, None)
(    8.94 sec) ARMA                     : DEBUG           -> Training...
(    8.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.95 sec) Clustered ROM            : DEBUG           -> Training segment 126 slice(3024, 3048, None)
(    8.95 sec) ARMA                     : DEBUG           -> Training...
(    8.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.96 sec) Clustered ROM            : DEBUG           -> Training segment 127 slice(3048, 3072, None)
(    8.96 sec) ARMA                     : DEBUG           -> Training...
(    8.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.98 sec) Clustered ROM            : DEBUG           -> Training segment 128 slice(3072, 3096, None)
(    8.98 sec) ARMA                     : DEBUG           -> Training...
(    8.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    8.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    8.99 sec) Clustered ROM            : DEBUG           -> Training segment 129 slice(3096, 3120, None)
(    8.99 sec) ARMA                     : DEBUG           -> Training...
(    8.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    8.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    8.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    8.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    8.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.00 sec) Clustered ROM            : DEBUG           -> Training segment 130 slice(3120, 3144, None)
(    9.00 sec) ARMA                     : DEBUG           -> Training...
(    9.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.01 sec) Clustered ROM            : DEBUG           -> Training segment 131 slice(3144, 3168, None)
(    9.01 sec) ARMA                     : DEBUG           -> Training...
(    9.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.02 sec) Clustered ROM            : DEBUG           -> Training segment 132 slice(3168, 3192, None)
(    9.02 sec) ARMA                     : DEBUG           -> Training...
(    9.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.03 sec) Clustered ROM            : DEBUG           -> Training segment 133 slice(3192, 3216, None)
(    9.03 sec) ARMA                     : DEBUG           -> Training...
(    9.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.04 sec) Clustered ROM            : DEBUG           -> Training segment 134 slice(3216, 3240, None)
(    9.04 sec) ARMA                     : DEBUG           -> Training...
(    9.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.05 sec) Clustered ROM            : DEBUG           -> Training segment 135 slice(3240, 3264, None)
(    9.05 sec) ARMA                     : DEBUG           -> Training...
(    9.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.07 sec) Clustered ROM            : DEBUG           -> Training segment 136 slice(3264, 3288, None)
(    9.07 sec) ARMA                     : DEBUG           -> Training...
(    9.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.09 sec) Clustered ROM            : DEBUG           -> Training segment 137 slice(3288, 3312, None)
(    9.09 sec) ARMA                     : DEBUG           -> Training...
(    9.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.09 sec) Clustered ROM            : DEBUG           -> Training segment 138 slice(3312, 3336, None)
(    9.09 sec) ARMA                     : DEBUG           -> Training...
(    9.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.11 sec) Clustered ROM            : DEBUG           -> Training segment 139 slice(3336, 3360, None)
(    9.11 sec) ARMA                     : DEBUG           -> Training...
(    9.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.13 sec) Clustered ROM            : DEBUG           -> Training segment 140 slice(3360, 3384, None)
(    9.13 sec) ARMA                     : DEBUG           -> Training...
(    9.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.14 sec) Clustered ROM            : DEBUG           -> Training segment 141 slice(3384, 3408, None)
(    9.14 sec) ARMA                     : DEBUG           -> Training...
(    9.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.15 sec) Clustered ROM            : DEBUG           -> Training segment 142 slice(3408, 3432, None)
(    9.15 sec) ARMA                     : DEBUG           -> Training...
(    9.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.16 sec) Clustered ROM            : DEBUG           -> Training segment 143 slice(3432, 3456, None)
(    9.16 sec) ARMA                     : DEBUG           -> Training...
(    9.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.17 sec) Clustered ROM            : DEBUG           -> Training segment 144 slice(3456, 3480, None)
(    9.18 sec) ARMA                     : DEBUG           -> Training...
(    9.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.19 sec) Clustered ROM            : DEBUG           -> Training segment 145 slice(3480, 3504, None)
(    9.19 sec) ARMA                     : DEBUG           -> Training...
(    9.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.19 sec) Clustered ROM            : DEBUG           -> Training segment 146 slice(3504, 3528, None)
(    9.19 sec) ARMA                     : DEBUG           -> Training...
(    9.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.21 sec) Clustered ROM            : DEBUG           -> Training segment 147 slice(3528, 3552, None)
(    9.21 sec) ARMA                     : DEBUG           -> Training...
(    9.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.22 sec) Clustered ROM            : DEBUG           -> Training segment 148 slice(3552, 3576, None)
(    9.22 sec) ARMA                     : DEBUG           -> Training...
(    9.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.23 sec) Clustered ROM            : DEBUG           -> Training segment 149 slice(3576, 3600, None)
(    9.23 sec) ARMA                     : DEBUG           -> Training...
(    9.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.24 sec) Clustered ROM            : DEBUG           -> Training segment 150 slice(3600, 3624, None)
(    9.24 sec) ARMA                     : DEBUG           -> Training...
(    9.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.26 sec) Clustered ROM            : DEBUG           -> Training segment 151 slice(3624, 3648, None)
(    9.26 sec) ARMA                     : DEBUG           -> Training...
(    9.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.27 sec) Clustered ROM            : DEBUG           -> Training segment 152 slice(3648, 3672, None)
(    9.27 sec) ARMA                     : DEBUG           -> Training...
(    9.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.28 sec) Clustered ROM            : DEBUG           -> Training segment 153 slice(3672, 3696, None)
(    9.28 sec) ARMA                     : DEBUG           -> Training...
(    9.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.29 sec) Clustered ROM            : DEBUG           -> Training segment 154 slice(3696, 3720, None)
(    9.29 sec) ARMA                     : DEBUG           -> Training...
(    9.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.30 sec) Clustered ROM            : DEBUG           -> Training segment 155 slice(3720, 3744, None)
(    9.30 sec) ARMA                     : DEBUG           -> Training...
(    9.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.31 sec) Clustered ROM            : DEBUG           -> Training segment 156 slice(3744, 3768, None)
(    9.31 sec) ARMA                     : DEBUG           -> Training...
(    9.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.34 sec) Clustered ROM            : DEBUG           -> Training segment 157 slice(3768, 3792, None)
(    9.34 sec) ARMA                     : DEBUG           -> Training...
(    9.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.35 sec) Clustered ROM            : DEBUG           -> Training segment 158 slice(3792, 3816, None)
(    9.35 sec) ARMA                     : DEBUG           -> Training...
(    9.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.37 sec) Clustered ROM            : DEBUG           -> Training segment 159 slice(3816, 3840, None)
(    9.37 sec) ARMA                     : DEBUG           -> Training...
(    9.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.38 sec) Clustered ROM            : DEBUG           -> Training segment 160 slice(3840, 3864, None)
(    9.38 sec) ARMA                     : DEBUG           -> Training...
(    9.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.39 sec) Clustered ROM            : DEBUG           -> Training segment 161 slice(3864, 3888, None)
(    9.39 sec) ARMA                     : DEBUG           -> Training...
(    9.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.40 sec) Clustered ROM            : DEBUG           -> Training segment 162 slice(3888, 3912, None)
(    9.40 sec) ARMA                     : DEBUG           -> Training...
(    9.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.42 sec) Clustered ROM            : DEBUG           -> Training segment 163 slice(3912, 3936, None)
(    9.42 sec) ARMA                     : DEBUG           -> Training...
(    9.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.43 sec) Clustered ROM            : DEBUG           -> Training segment 164 slice(3936, 3960, None)
(    9.43 sec) ARMA                     : DEBUG           -> Training...
(    9.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.43 sec) Clustered ROM            : DEBUG           -> Training segment 165 slice(3960, 3984, None)
(    9.43 sec) ARMA                     : DEBUG           -> Training...
(    9.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.44 sec) Clustered ROM            : DEBUG           -> Training segment 166 slice(3984, 4008, None)
(    9.44 sec) ARMA                     : DEBUG           -> Training...
(    9.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.45 sec) Clustered ROM            : DEBUG           -> Training segment 167 slice(4008, 4032, None)
(    9.45 sec) ARMA                     : DEBUG           -> Training...
(    9.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.47 sec) Clustered ROM            : DEBUG           -> Training segment 168 slice(4032, 4056, None)
(    9.47 sec) ARMA                     : DEBUG           -> Training...
(    9.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.48 sec) Clustered ROM            : DEBUG           -> Training segment 169 slice(4056, 4080, None)
(    9.48 sec) ARMA                     : DEBUG           -> Training...
(    9.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.48 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.49 sec) Clustered ROM            : DEBUG           -> Training segment 170 slice(4080, 4104, None)
(    9.49 sec) ARMA                     : DEBUG           -> Training...
(    9.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.50 sec) Clustered ROM            : DEBUG           -> Training segment 171 slice(4104, 4128, None)
(    9.50 sec) ARMA                     : DEBUG           -> Training...
(    9.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.51 sec) Clustered ROM            : DEBUG           -> Training segment 172 slice(4128, 4152, None)
(    9.51 sec) ARMA                     : DEBUG           -> Training...
(    9.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.53 sec) Clustered ROM            : DEBUG           -> Training segment 173 slice(4152, 4176, None)
(    9.53 sec) ARMA                     : DEBUG           -> Training...
(    9.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.54 sec) Clustered ROM            : DEBUG           -> Training segment 174 slice(4176, 4200, None)
(    9.54 sec) ARMA                     : DEBUG           -> Training...
(    9.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.54 sec) Clustered ROM            : DEBUG           -> Training segment 175 slice(4200, 4224, None)
(    9.54 sec) ARMA                     : DEBUG           -> Training...
(    9.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.56 sec) Clustered ROM            : DEBUG           -> Training segment 176 slice(4224, 4248, None)
(    9.56 sec) ARMA                     : DEBUG           -> Training...
(    9.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.57 sec) Clustered ROM            : DEBUG           -> Training segment 177 slice(4248, 4272, None)
(    9.57 sec) ARMA                     : DEBUG           -> Training...
(    9.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.58 sec) Clustered ROM            : DEBUG           -> Training segment 178 slice(4272, 4296, None)
(    9.58 sec) ARMA                     : DEBUG           -> Training...
(    9.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.59 sec) Clustered ROM            : DEBUG           -> Training segment 179 slice(4296, 4320, None)
(    9.59 sec) ARMA                     : DEBUG           -> Training...
(    9.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.60 sec) Clustered ROM            : DEBUG           -> Training segment 180 slice(4320, 4344, None)
(    9.60 sec) ARMA                     : DEBUG           -> Training...
(    9.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.61 sec) Clustered ROM            : DEBUG           -> Training segment 181 slice(4344, 4368, None)
(    9.61 sec) ARMA                     : DEBUG           -> Training...
(    9.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.62 sec) Clustered ROM            : DEBUG           -> Training segment 182 slice(4368, 4392, None)
(    9.62 sec) ARMA                     : DEBUG           -> Training...
(    9.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.64 sec) Clustered ROM            : DEBUG           -> Training segment 183 slice(4392, 4416, None)
(    9.64 sec) ARMA                     : DEBUG           -> Training...
(    9.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.64 sec) Clustered ROM            : DEBUG           -> Training segment 184 slice(4416, 4440, None)
(    9.64 sec) ARMA                     : DEBUG           -> Training...
(    9.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.65 sec) Clustered ROM            : DEBUG           -> Training segment 185 slice(4440, 4464, None)
(    9.65 sec) ARMA                     : DEBUG           -> Training...
(    9.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.67 sec) Clustered ROM            : DEBUG           -> Training segment 186 slice(4464, 4488, None)
(    9.67 sec) ARMA                     : DEBUG           -> Training...
(    9.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.68 sec) Clustered ROM            : DEBUG           -> Training segment 187 slice(4488, 4512, None)
(    9.68 sec) ARMA                     : DEBUG           -> Training...
(    9.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.69 sec) Clustered ROM            : DEBUG           -> Training segment 188 slice(4512, 4536, None)
(    9.69 sec) ARMA                     : DEBUG           -> Training...
(    9.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.71 sec) Clustered ROM            : DEBUG           -> Training segment 189 slice(4536, 4560, None)
(    9.71 sec) ARMA                     : DEBUG           -> Training...
(    9.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.72 sec) Clustered ROM            : DEBUG           -> Training segment 190 slice(4560, 4584, None)
(    9.72 sec) ARMA                     : DEBUG           -> Training...
(    9.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.74 sec) Clustered ROM            : DEBUG           -> Training segment 191 slice(4584, 4608, None)
(    9.74 sec) ARMA                     : DEBUG           -> Training...
(    9.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.76 sec) Clustered ROM            : DEBUG           -> Training segment 192 slice(4608, 4632, None)
(    9.76 sec) ARMA                     : DEBUG           -> Training...
(    9.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.78 sec) Clustered ROM            : DEBUG           -> Training segment 193 slice(4632, 4656, None)
(    9.78 sec) ARMA                     : DEBUG           -> Training...
(    9.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.79 sec) Clustered ROM            : DEBUG           -> Training segment 194 slice(4656, 4680, None)
(    9.79 sec) ARMA                     : DEBUG           -> Training...
(    9.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.80 sec) Clustered ROM            : DEBUG           -> Training segment 195 slice(4680, 4704, None)
(    9.80 sec) ARMA                     : DEBUG           -> Training...
(    9.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.82 sec) Clustered ROM            : DEBUG           -> Training segment 196 slice(4704, 4728, None)
(    9.82 sec) ARMA                     : DEBUG           -> Training...
(    9.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.83 sec) Clustered ROM            : DEBUG           -> Training segment 197 slice(4728, 4752, None)
(    9.83 sec) ARMA                     : DEBUG           -> Training...
(    9.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.84 sec) Clustered ROM            : DEBUG           -> Training segment 198 slice(4752, 4776, None)
(    9.84 sec) ARMA                     : DEBUG           -> Training...
(    9.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.85 sec) Clustered ROM            : DEBUG           -> Training segment 199 slice(4776, 4800, None)
(    9.85 sec) ARMA                     : DEBUG           -> Training...
(    9.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.86 sec) Clustered ROM            : DEBUG           -> Training segment 200 slice(4800, 4824, None)
(    9.86 sec) ARMA                     : DEBUG           -> Training...
(    9.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.88 sec) Clustered ROM            : DEBUG           -> Training segment 201 slice(4824, 4848, None)
(    9.88 sec) ARMA                     : DEBUG           -> Training...
(    9.88 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.88 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.88 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.88 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.88 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.89 sec) Clustered ROM            : DEBUG           -> Training segment 202 slice(4848, 4872, None)
(    9.89 sec) ARMA                     : DEBUG           -> Training...
(    9.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.89 sec) Clustered ROM            : DEBUG           -> Training segment 203 slice(4872, 4896, None)
(    9.89 sec) ARMA                     : DEBUG           -> Training...
(    9.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.90 sec) Clustered ROM            : DEBUG           -> Training segment 204 slice(4896, 4920, None)
(    9.90 sec) ARMA                     : DEBUG           -> Training...
(    9.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.92 sec) Clustered ROM            : DEBUG           -> Training segment 205 slice(4920, 4944, None)
(    9.92 sec) ARMA                     : DEBUG           -> Training...
(    9.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.93 sec) Clustered ROM            : DEBUG           -> Training segment 206 slice(4944, 4968, None)
(    9.93 sec) ARMA                     : DEBUG           -> Training...
(    9.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.94 sec) Clustered ROM            : DEBUG           -> Training segment 207 slice(4968, 4992, None)
(    9.94 sec) ARMA                     : DEBUG           -> Training...
(    9.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.95 sec) Clustered ROM            : DEBUG           -> Training segment 208 slice(4992, 5016, None)
(    9.95 sec) ARMA                     : DEBUG           -> Training...
(    9.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.97 sec) Clustered ROM            : DEBUG           -> Training segment 209 slice(5016, 5040, None)
(    9.97 sec) ARMA                     : DEBUG           -> Training...
(    9.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(    9.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(    9.98 sec) Clustered ROM            : DEBUG           -> Training segment 210 slice(5040, 5064, None)
(    9.98 sec) ARMA                     : DEBUG           -> Training...
(    9.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(    9.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(    9.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(    9.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(    9.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.02 sec) Clustered ROM            : DEBUG           -> Training segment 211 slice(5064, 5088, None)
(   10.02 sec) ARMA                     : DEBUG           -> Training...
(   10.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.03 sec) Clustered ROM            : DEBUG           -> Training segment 212 slice(5088, 5112, None)
(   10.03 sec) ARMA                     : DEBUG           -> Training...
(   10.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.05 sec) Clustered ROM            : DEBUG           -> Training segment 213 slice(5112, 5136, None)
(   10.05 sec) ARMA                     : DEBUG           -> Training...
(   10.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.08 sec) Clustered ROM            : DEBUG           -> Training segment 214 slice(5136, 5160, None)
(   10.08 sec) ARMA                     : DEBUG           -> Training...
(   10.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.09 sec) Clustered ROM            : DEBUG           -> Training segment 215 slice(5160, 5184, None)
(   10.09 sec) ARMA                     : DEBUG           -> Training...
(   10.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.10 sec) Clustered ROM            : DEBUG           -> Training segment 216 slice(5184, 5208, None)
(   10.10 sec) ARMA                     : DEBUG           -> Training...
(   10.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.11 sec) Clustered ROM            : DEBUG           -> Training segment 217 slice(5208, 5232, None)
(   10.11 sec) ARMA                     : DEBUG           -> Training...
(   10.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.13 sec) Clustered ROM            : DEBUG           -> Training segment 218 slice(5232, 5256, None)
(   10.13 sec) ARMA                     : DEBUG           -> Training...
(   10.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.14 sec) Clustered ROM            : DEBUG           -> Training segment 219 slice(5256, 5280, None)
(   10.14 sec) ARMA                     : DEBUG           -> Training...
(   10.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.16 sec) Clustered ROM            : DEBUG           -> Training segment 220 slice(5280, 5304, None)
(   10.16 sec) ARMA                     : DEBUG           -> Training...
(   10.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.19 sec) Clustered ROM            : DEBUG           -> Training segment 221 slice(5304, 5328, None)
(   10.19 sec) ARMA                     : DEBUG           -> Training...
(   10.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.20 sec) Clustered ROM            : DEBUG           -> Training segment 222 slice(5328, 5352, None)
(   10.20 sec) ARMA                     : DEBUG           -> Training...
(   10.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.21 sec) Clustered ROM            : DEBUG           -> Training segment 223 slice(5352, 5376, None)
(   10.21 sec) ARMA                     : DEBUG           -> Training...
(   10.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.23 sec) Clustered ROM            : DEBUG           -> Training segment 224 slice(5376, 5400, None)
(   10.23 sec) ARMA                     : DEBUG           -> Training...
(   10.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.24 sec) Clustered ROM            : DEBUG           -> Training segment 225 slice(5400, 5424, None)
(   10.24 sec) ARMA                     : DEBUG           -> Training...
(   10.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.24 sec) Clustered ROM            : DEBUG           -> Training segment 226 slice(5424, 5448, None)
(   10.24 sec) ARMA                     : DEBUG           -> Training...
(   10.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.25 sec) Clustered ROM            : DEBUG           -> Training segment 227 slice(5448, 5472, None)
(   10.25 sec) ARMA                     : DEBUG           -> Training...
(   10.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.27 sec) Clustered ROM            : DEBUG           -> Training segment 228 slice(5472, 5496, None)
(   10.27 sec) ARMA                     : DEBUG           -> Training...
(   10.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.29 sec) Clustered ROM            : DEBUG           -> Training segment 229 slice(5496, 5520, None)
(   10.29 sec) ARMA                     : DEBUG           -> Training...
(   10.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.38 sec) Clustered ROM            : DEBUG           -> Training segment 230 slice(5520, 5544, None)
(   10.38 sec) ARMA                     : DEBUG           -> Training...
(   10.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.39 sec) Clustered ROM            : DEBUG           -> Training segment 231 slice(5544, 5568, None)
(   10.39 sec) ARMA                     : DEBUG           -> Training...
(   10.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.40 sec) Clustered ROM            : DEBUG           -> Training segment 232 slice(5568, 5592, None)
(   10.40 sec) ARMA                     : DEBUG           -> Training...
(   10.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.41 sec) Clustered ROM            : DEBUG           -> Training segment 233 slice(5592, 5616, None)
(   10.41 sec) ARMA                     : DEBUG           -> Training...
(   10.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.41 sec) Clustered ROM            : DEBUG           -> Training segment 234 slice(5616, 5640, None)
(   10.41 sec) ARMA                     : DEBUG           -> Training...
(   10.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.42 sec) Clustered ROM            : DEBUG           -> Training segment 235 slice(5640, 5664, None)
(   10.42 sec) ARMA                     : DEBUG           -> Training...
(   10.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.44 sec) Clustered ROM            : DEBUG           -> Training segment 236 slice(5664, 5688, None)
(   10.44 sec) ARMA                     : DEBUG           -> Training...
(   10.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.48 sec) Clustered ROM            : DEBUG           -> Training segment 237 slice(5688, 5712, None)
(   10.48 sec) ARMA                     : DEBUG           -> Training...
(   10.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.48 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.51 sec) Clustered ROM            : DEBUG           -> Training segment 238 slice(5712, 5736, None)
(   10.51 sec) ARMA                     : DEBUG           -> Training...
(   10.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.53 sec) Clustered ROM            : DEBUG           -> Training segment 239 slice(5736, 5760, None)
(   10.53 sec) ARMA                     : DEBUG           -> Training...
(   10.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.54 sec) Clustered ROM            : DEBUG           -> Training segment 240 slice(5760, 5784, None)
(   10.54 sec) ARMA                     : DEBUG           -> Training...
(   10.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.56 sec) Clustered ROM            : DEBUG           -> Training segment 241 slice(5784, 5808, None)
(   10.56 sec) ARMA                     : DEBUG           -> Training...
(   10.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.57 sec) Clustered ROM            : DEBUG           -> Training segment 242 slice(5808, 5832, None)
(   10.57 sec) ARMA                     : DEBUG           -> Training...
(   10.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.58 sec) Clustered ROM            : DEBUG           -> Training segment 243 slice(5832, 5856, None)
(   10.58 sec) ARMA                     : DEBUG           -> Training...
(   10.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.59 sec) Clustered ROM            : DEBUG           -> Training segment 244 slice(5856, 5880, None)
(   10.59 sec) ARMA                     : DEBUG           -> Training...
(   10.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.60 sec) Clustered ROM            : DEBUG           -> Training segment 245 slice(5880, 5904, None)
(   10.61 sec) ARMA                     : DEBUG           -> Training...
(   10.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.64 sec) Clustered ROM            : DEBUG           -> Training segment 246 slice(5904, 5928, None)
(   10.64 sec) ARMA                     : DEBUG           -> Training...
(   10.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.65 sec) Clustered ROM            : DEBUG           -> Training segment 247 slice(5928, 5952, None)
(   10.65 sec) ARMA                     : DEBUG           -> Training...
(   10.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.66 sec) Clustered ROM            : DEBUG           -> Training segment 248 slice(5952, 5976, None)
(   10.66 sec) ARMA                     : DEBUG           -> Training...
(   10.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.67 sec) Clustered ROM            : DEBUG           -> Training segment 249 slice(5976, 6000, None)
(   10.67 sec) ARMA                     : DEBUG           -> Training...
(   10.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.68 sec) Clustered ROM            : DEBUG           -> Training segment 250 slice(6000, 6024, None)
(   10.68 sec) ARMA                     : DEBUG           -> Training...
(   10.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.70 sec) Clustered ROM            : DEBUG           -> Training segment 251 slice(6024, 6048, None)
(   10.70 sec) ARMA                     : DEBUG           -> Training...
(   10.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.70 sec) Clustered ROM            : DEBUG           -> Training segment 252 slice(6048, 6072, None)
(   10.70 sec) ARMA                     : DEBUG           -> Training...
(   10.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.72 sec) Clustered ROM            : DEBUG           -> Training segment 253 slice(6072, 6096, None)
(   10.72 sec) ARMA                     : DEBUG           -> Training...
(   10.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.73 sec) Clustered ROM            : DEBUG           -> Training segment 254 slice(6096, 6120, None)
(   10.73 sec) ARMA                     : DEBUG           -> Training...
(   10.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.75 sec) Clustered ROM            : DEBUG           -> Training segment 255 slice(6120, 6144, None)
(   10.75 sec) ARMA                     : DEBUG           -> Training...
(   10.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.75 sec) Clustered ROM            : DEBUG           -> Training segment 256 slice(6144, 6168, None)
(   10.75 sec) ARMA                     : DEBUG           -> Training...
(   10.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.79 sec) Clustered ROM            : DEBUG           -> Training segment 257 slice(6168, 6192, None)
(   10.79 sec) ARMA                     : DEBUG           -> Training...
(   10.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.80 sec) Clustered ROM            : DEBUG           -> Training segment 258 slice(6192, 6216, None)
(   10.80 sec) ARMA                     : DEBUG           -> Training...
(   10.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.82 sec) Clustered ROM            : DEBUG           -> Training segment 259 slice(6216, 6240, None)
(   10.82 sec) ARMA                     : DEBUG           -> Training...
(   10.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.83 sec) Clustered ROM            : DEBUG           -> Training segment 260 slice(6240, 6264, None)
(   10.83 sec) ARMA                     : DEBUG           -> Training...
(   10.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.84 sec) Clustered ROM            : DEBUG           -> Training segment 261 slice(6264, 6288, None)
(   10.84 sec) ARMA                     : DEBUG           -> Training...
(   10.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.85 sec) Clustered ROM            : DEBUG           -> Training segment 262 slice(6288, 6312, None)
(   10.85 sec) ARMA                     : DEBUG           -> Training...
(   10.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.86 sec) Clustered ROM            : DEBUG           -> Training segment 263 slice(6312, 6336, None)
(   10.86 sec) ARMA                     : DEBUG           -> Training...
(   10.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.88 sec) Clustered ROM            : DEBUG           -> Training segment 264 slice(6336, 6360, None)
(   10.88 sec) ARMA                     : DEBUG           -> Training...
(   10.88 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.88 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.88 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.91 sec) Clustered ROM            : DEBUG           -> Training segment 265 slice(6360, 6384, None)
(   10.91 sec) ARMA                     : DEBUG           -> Training...
(   10.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.93 sec) Clustered ROM            : DEBUG           -> Training segment 266 slice(6384, 6408, None)
(   10.93 sec) ARMA                     : DEBUG           -> Training...
(   10.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.94 sec) Clustered ROM            : DEBUG           -> Training segment 267 slice(6408, 6432, None)
(   10.94 sec) ARMA                     : DEBUG           -> Training...
(   10.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.95 sec) Clustered ROM            : DEBUG           -> Training segment 268 slice(6432, 6456, None)
(   10.95 sec) ARMA                     : DEBUG           -> Training...
(   10.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   10.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   10.97 sec) Clustered ROM            : DEBUG           -> Training segment 269 slice(6456, 6480, None)
(   10.97 sec) ARMA                     : DEBUG           -> Training...
(   10.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   10.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   10.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   10.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   10.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.00 sec) Clustered ROM            : DEBUG           -> Training segment 270 slice(6480, 6504, None)
(   11.00 sec) ARMA                     : DEBUG           -> Training...
(   11.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.00 sec) Clustered ROM            : DEBUG           -> Training segment 271 slice(6504, 6528, None)
(   11.00 sec) ARMA                     : DEBUG           -> Training...
(   11.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.02 sec) Clustered ROM            : DEBUG           -> Training segment 272 slice(6528, 6552, None)
(   11.02 sec) ARMA                     : DEBUG           -> Training...
(   11.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.03 sec) Clustered ROM            : DEBUG           -> Training segment 273 slice(6552, 6576, None)
(   11.03 sec) ARMA                     : DEBUG           -> Training...
(   11.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.04 sec) Clustered ROM            : DEBUG           -> Training segment 274 slice(6576, 6600, None)
(   11.04 sec) ARMA                     : DEBUG           -> Training...
(   11.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.06 sec) Clustered ROM            : DEBUG           -> Training segment 275 slice(6600, 6624, None)
(   11.06 sec) ARMA                     : DEBUG           -> Training...
(   11.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.07 sec) Clustered ROM            : DEBUG           -> Training segment 276 slice(6624, 6648, None)
(   11.07 sec) ARMA                     : DEBUG           -> Training...
(   11.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.08 sec) Clustered ROM            : DEBUG           -> Training segment 277 slice(6648, 6672, None)
(   11.08 sec) ARMA                     : DEBUG           -> Training...
(   11.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.09 sec) Clustered ROM            : DEBUG           -> Training segment 278 slice(6672, 6696, None)
(   11.09 sec) ARMA                     : DEBUG           -> Training...
(   11.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.11 sec) Clustered ROM            : DEBUG           -> Training segment 279 slice(6696, 6720, None)
(   11.11 sec) ARMA                     : DEBUG           -> Training...
(   11.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.14 sec) Clustered ROM            : DEBUG           -> Training segment 280 slice(6720, 6744, None)
(   11.14 sec) ARMA                     : DEBUG           -> Training...
(   11.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.16 sec) Clustered ROM            : DEBUG           -> Training segment 281 slice(6744, 6768, None)
(   11.16 sec) ARMA                     : DEBUG           -> Training...
(   11.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.17 sec) Clustered ROM            : DEBUG           -> Training segment 282 slice(6768, 6792, None)
(   11.17 sec) ARMA                     : DEBUG           -> Training...
(   11.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.19 sec) Clustered ROM            : DEBUG           -> Training segment 283 slice(6792, 6816, None)
(   11.19 sec) ARMA                     : DEBUG           -> Training...
(   11.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.19 sec) Clustered ROM            : DEBUG           -> Training segment 284 slice(6816, 6840, None)
(   11.19 sec) ARMA                     : DEBUG           -> Training...
(   11.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.21 sec) Clustered ROM            : DEBUG           -> Training segment 285 slice(6840, 6864, None)
(   11.21 sec) ARMA                     : DEBUG           -> Training...
(   11.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.23 sec) Clustered ROM            : DEBUG           -> Training segment 286 slice(6864, 6888, None)
(   11.23 sec) ARMA                     : DEBUG           -> Training...
(   11.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.24 sec) Clustered ROM            : DEBUG           -> Training segment 287 slice(6888, 6912, None)
(   11.24 sec) ARMA                     : DEBUG           -> Training...
(   11.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.26 sec) Clustered ROM            : DEBUG           -> Training segment 288 slice(6912, 6936, None)
(   11.26 sec) ARMA                     : DEBUG           -> Training...
(   11.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.27 sec) Clustered ROM            : DEBUG           -> Training segment 289 slice(6936, 6960, None)
(   11.27 sec) ARMA                     : DEBUG           -> Training...
(   11.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.28 sec) Clustered ROM            : DEBUG           -> Training segment 290 slice(6960, 6984, None)
(   11.28 sec) ARMA                     : DEBUG           -> Training...
(   11.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.30 sec) Clustered ROM            : DEBUG           -> Training segment 291 slice(6984, 7008, None)
(   11.30 sec) ARMA                     : DEBUG           -> Training...
(   11.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.32 sec) Clustered ROM            : DEBUG           -> Training segment 292 slice(7008, 7032, None)
(   11.32 sec) ARMA                     : DEBUG           -> Training...
(   11.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.33 sec) Clustered ROM            : DEBUG           -> Training segment 293 slice(7032, 7056, None)
(   11.33 sec) ARMA                     : DEBUG           -> Training...
(   11.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.36 sec) Clustered ROM            : DEBUG           -> Training segment 294 slice(7056, 7080, None)
(   11.36 sec) ARMA                     : DEBUG           -> Training...
(   11.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.39 sec) Clustered ROM            : DEBUG           -> Training segment 295 slice(7080, 7104, None)
(   11.39 sec) ARMA                     : DEBUG           -> Training...
(   11.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.40 sec) Clustered ROM            : DEBUG           -> Training segment 296 slice(7104, 7128, None)
(   11.40 sec) ARMA                     : DEBUG           -> Training...
(   11.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.41 sec) Clustered ROM            : DEBUG           -> Training segment 297 slice(7128, 7152, None)
(   11.41 sec) ARMA                     : DEBUG           -> Training...
(   11.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.45 sec) Clustered ROM            : DEBUG           -> Training segment 298 slice(7152, 7176, None)
(   11.45 sec) ARMA                     : DEBUG           -> Training...
(   11.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.47 sec) Clustered ROM            : DEBUG           -> Training segment 299 slice(7176, 7200, None)
(   11.47 sec) ARMA                     : DEBUG           -> Training...
(   11.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.48 sec) Clustered ROM            : DEBUG           -> Training segment 300 slice(7200, 7224, None)
(   11.48 sec) ARMA                     : DEBUG           -> Training...
(   11.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.50 sec) Clustered ROM            : DEBUG           -> Training segment 301 slice(7224, 7248, None)
(   11.50 sec) ARMA                     : DEBUG           -> Training...
(   11.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.50 sec) Clustered ROM            : DEBUG           -> Training segment 302 slice(7248, 7272, None)
(   11.50 sec) ARMA                     : DEBUG           -> Training...
(   11.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.51 sec) Clustered ROM            : DEBUG           -> Training segment 303 slice(7272, 7296, None)
(   11.51 sec) ARMA                     : DEBUG           -> Training...
(   11.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.53 sec) Clustered ROM            : DEBUG           -> Training segment 304 slice(7296, 7320, None)
(   11.53 sec) ARMA                     : DEBUG           -> Training...
(   11.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.54 sec) Clustered ROM            : DEBUG           -> Training segment 305 slice(7320, 7344, None)
(   11.54 sec) ARMA                     : DEBUG           -> Training...
(   11.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.55 sec) Clustered ROM            : DEBUG           -> Training segment 306 slice(7344, 7368, None)
(   11.55 sec) ARMA                     : DEBUG           -> Training...
(   11.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.56 sec) Clustered ROM            : DEBUG           -> Training segment 307 slice(7368, 7392, None)
(   11.56 sec) ARMA                     : DEBUG           -> Training...
(   11.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.57 sec) Clustered ROM            : DEBUG           -> Training segment 308 slice(7392, 7416, None)
(   11.57 sec) ARMA                     : DEBUG           -> Training...
(   11.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.58 sec) Clustered ROM            : DEBUG           -> Training segment 309 slice(7416, 7440, None)
(   11.58 sec) ARMA                     : DEBUG           -> Training...
(   11.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.60 sec) Clustered ROM            : DEBUG           -> Training segment 310 slice(7440, 7464, None)
(   11.60 sec) ARMA                     : DEBUG           -> Training...
(   11.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.61 sec) Clustered ROM            : DEBUG           -> Training segment 311 slice(7464, 7488, None)
(   11.61 sec) ARMA                     : DEBUG           -> Training...
(   11.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.65 sec) Clustered ROM            : DEBUG           -> Training segment 312 slice(7488, 7512, None)
(   11.65 sec) ARMA                     : DEBUG           -> Training...
(   11.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.65 sec) Clustered ROM            : DEBUG           -> Training segment 313 slice(7512, 7536, None)
(   11.65 sec) ARMA                     : DEBUG           -> Training...
(   11.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.67 sec) Clustered ROM            : DEBUG           -> Training segment 314 slice(7536, 7560, None)
(   11.67 sec) ARMA                     : DEBUG           -> Training...
(   11.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.69 sec) Clustered ROM            : DEBUG           -> Training segment 315 slice(7560, 7584, None)
(   11.69 sec) ARMA                     : DEBUG           -> Training...
(   11.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.72 sec) Clustered ROM            : DEBUG           -> Training segment 316 slice(7584, 7608, None)
(   11.72 sec) ARMA                     : DEBUG           -> Training...
(   11.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.73 sec) Clustered ROM            : DEBUG           -> Training segment 317 slice(7608, 7632, None)
(   11.73 sec) ARMA                     : DEBUG           -> Training...
(   11.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.75 sec) Clustered ROM            : DEBUG           -> Training segment 318 slice(7632, 7656, None)
(   11.75 sec) ARMA                     : DEBUG           -> Training...
(   11.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.76 sec) Clustered ROM            : DEBUG           -> Training segment 319 slice(7656, 7680, None)
(   11.76 sec) ARMA                     : DEBUG           -> Training...
(   11.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.78 sec) Clustered ROM            : DEBUG           -> Training segment 320 slice(7680, 7704, None)
(   11.78 sec) ARMA                     : DEBUG           -> Training...
(   11.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.79 sec) Clustered ROM            : DEBUG           -> Training segment 321 slice(7704, 7728, None)
(   11.79 sec) ARMA                     : DEBUG           -> Training...
(   11.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.80 sec) Clustered ROM            : DEBUG           -> Training segment 322 slice(7728, 7752, None)
(   11.80 sec) ARMA                     : DEBUG           -> Training...
(   11.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.81 sec) Clustered ROM            : DEBUG           -> Training segment 323 slice(7752, 7776, None)
(   11.81 sec) ARMA                     : DEBUG           -> Training...
(   11.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.81 sec) Clustered ROM            : DEBUG           -> Training segment 324 slice(7776, 7800, None)
(   11.81 sec) ARMA                     : DEBUG           -> Training...
(   11.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.83 sec) Clustered ROM            : DEBUG           -> Training segment 325 slice(7800, 7824, None)
(   11.83 sec) ARMA                     : DEBUG           -> Training...
(   11.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.86 sec) Clustered ROM            : DEBUG           -> Training segment 326 slice(7824, 7848, None)
(   11.86 sec) ARMA                     : DEBUG           -> Training...
(   11.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.90 sec) Clustered ROM            : DEBUG           -> Training segment 327 slice(7848, 7872, None)
(   11.90 sec) ARMA                     : DEBUG           -> Training...
(   11.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.93 sec) Clustered ROM            : DEBUG           -> Training segment 328 slice(7872, 7896, None)
(   11.93 sec) ARMA                     : DEBUG           -> Training...
(   11.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.94 sec) Clustered ROM            : DEBUG           -> Training segment 329 slice(7896, 7920, None)
(   11.94 sec) ARMA                     : DEBUG           -> Training...
(   11.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.96 sec) Clustered ROM            : DEBUG           -> Training segment 330 slice(7920, 7944, None)
(   11.96 sec) ARMA                     : DEBUG           -> Training...
(   11.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.97 sec) Clustered ROM            : DEBUG           -> Training segment 331 slice(7944, 7968, None)
(   11.97 sec) ARMA                     : DEBUG           -> Training...
(   11.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   11.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   11.98 sec) Clustered ROM            : DEBUG           -> Training segment 332 slice(7968, 7992, None)
(   11.98 sec) ARMA                     : DEBUG           -> Training...
(   11.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   11.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   11.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   11.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   11.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.00 sec) Clustered ROM            : DEBUG           -> Training segment 333 slice(7992, 8016, None)
(   12.00 sec) ARMA                     : DEBUG           -> Training...
(   12.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.00 sec) Clustered ROM            : DEBUG           -> Training segment 334 slice(8016, 8040, None)
(   12.00 sec) ARMA                     : DEBUG           -> Training...
(   12.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.02 sec) Clustered ROM            : DEBUG           -> Training segment 335 slice(8040, 8064, None)
(   12.02 sec) ARMA                     : DEBUG           -> Training...
(   12.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.03 sec) Clustered ROM            : DEBUG           -> Training segment 336 slice(8064, 8088, None)
(   12.03 sec) ARMA                     : DEBUG           -> Training...
(   12.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.04 sec) Clustered ROM            : DEBUG           -> Training segment 337 slice(8088, 8112, None)
(   12.04 sec) ARMA                     : DEBUG           -> Training...
(   12.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.05 sec) Clustered ROM            : DEBUG           -> Training segment 338 slice(8112, 8136, None)
(   12.05 sec) ARMA                     : DEBUG           -> Training...
(   12.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.06 sec) Clustered ROM            : DEBUG           -> Training segment 339 slice(8136, 8160, None)
(   12.06 sec) ARMA                     : DEBUG           -> Training...
(   12.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.07 sec) Clustered ROM            : DEBUG           -> Training segment 340 slice(8160, 8184, None)
(   12.07 sec) ARMA                     : DEBUG           -> Training...
(   12.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.09 sec) Clustered ROM            : DEBUG           -> Training segment 341 slice(8184, 8208, None)
(   12.09 sec) ARMA                     : DEBUG           -> Training...
(   12.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.09 sec) Clustered ROM            : DEBUG           -> Training segment 342 slice(8208, 8232, None)
(   12.09 sec) ARMA                     : DEBUG           -> Training...
(   12.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.10 sec) Clustered ROM            : DEBUG           -> Training segment 343 slice(8232, 8256, None)
(   12.10 sec) ARMA                     : DEBUG           -> Training...
(   12.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.12 sec) Clustered ROM            : DEBUG           -> Training segment 344 slice(8256, 8280, None)
(   12.12 sec) ARMA                     : DEBUG           -> Training...
(   12.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.13 sec) Clustered ROM            : DEBUG           -> Training segment 345 slice(8280, 8304, None)
(   12.13 sec) ARMA                     : DEBUG           -> Training...
(   12.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.15 sec) Clustered ROM            : DEBUG           -> Training segment 346 slice(8304, 8328, None)
(   12.15 sec) ARMA                     : DEBUG           -> Training...
(   12.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.17 sec) Clustered ROM            : DEBUG           -> Training segment 347 slice(8328, 8352, None)
(   12.17 sec) ARMA                     : DEBUG           -> Training...
(   12.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.18 sec) Clustered ROM            : DEBUG           -> Training segment 348 slice(8352, 8376, None)
(   12.18 sec) ARMA                     : DEBUG           -> Training...
(   12.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.21 sec) Clustered ROM            : DEBUG           -> Training segment 349 slice(8376, 8400, None)
(   12.21 sec) ARMA                     : DEBUG           -> Training...
(   12.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.22 sec) Clustered ROM            : DEBUG           -> Training segment 350 slice(8400, 8424, None)
(   12.22 sec) ARMA                     : DEBUG           -> Training...
(   12.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.24 sec) Clustered ROM            : DEBUG           -> Training segment 351 slice(8424, 8448, None)
(   12.24 sec) ARMA                     : DEBUG           -> Training...
(   12.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.25 sec) Clustered ROM            : DEBUG           -> Training segment 352 slice(8448, 8472, None)
(   12.25 sec) ARMA                     : DEBUG           -> Training...
(   12.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.26 sec) Clustered ROM            : DEBUG           -> Training segment 353 slice(8472, 8496, None)
(   12.26 sec) ARMA                     : DEBUG           -> Training...
(   12.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.27 sec) Clustered ROM            : DEBUG           -> Training segment 354 slice(8496, 8520, None)
(   12.27 sec) ARMA                     : DEBUG           -> Training...
(   12.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.29 sec) Clustered ROM            : DEBUG           -> Training segment 355 slice(8520, 8544, None)
(   12.29 sec) ARMA                     : DEBUG           -> Training...
(   12.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.30 sec) Clustered ROM            : DEBUG           -> Training segment 356 slice(8544, 8568, None)
(   12.30 sec) ARMA                     : DEBUG           -> Training...
(   12.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.31 sec) Clustered ROM            : DEBUG           -> Training segment 357 slice(8568, 8592, None)
(   12.31 sec) ARMA                     : DEBUG           -> Training...
(   12.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.32 sec) Clustered ROM            : DEBUG           -> Training segment 358 slice(8592, 8616, None)
(   12.32 sec) ARMA                     : DEBUG           -> Training...
(   12.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.33 sec) Clustered ROM            : DEBUG           -> Training segment 359 slice(8616, 8640, None)
(   12.33 sec) ARMA                     : DEBUG           -> Training...
(   12.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.35 sec) Clustered ROM            : DEBUG           -> Training segment 360 slice(8640, 8664, None)
(   12.35 sec) ARMA                     : DEBUG           -> Training...
(   12.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.36 sec) Clustered ROM            : DEBUG           -> Training segment 361 slice(8664, 8688, None)
(   12.36 sec) ARMA                     : DEBUG           -> Training...
(   12.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.37 sec) Clustered ROM            : DEBUG           -> Training segment 362 slice(8688, 8712, None)
(   12.37 sec) ARMA                     : DEBUG           -> Training...
(   12.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.38 sec) Clustered ROM            : DEBUG           -> Training segment 363 slice(8712, 8736, None)
(   12.38 sec) ARMA                     : DEBUG           -> Training...
(   12.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.39 sec) Clustered ROM            : DEBUG           -> Training segment 364 slice(8736, 8760, None)
(   12.39 sec) ARMA                     : DEBUG           -> Training...
(   12.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.46 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   12.46 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   12.51 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   12.51 sec) Interp. Cluster ROM      : DEBUG           -> Training Statepoint Year 2 ...
(   12.51 sec) Clustered ROM            : DEBUG           -> Training segmented subspaces for "arma" ...
(   12.51 sec) Clustered ROM            : DEBUG           -> Dividing         hour         into  365  divisions for training ...
DEBUGG no ZF here!
(   12.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.52 sec) Clustered ROM            : DEBUG           -> Training segment 0 slice(0, 24, None)
(   12.52 sec) ARMA                     : DEBUG           -> Training...
(   12.52 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.52 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.54 sec) Clustered ROM            : DEBUG           -> Training segment 1 slice(24, 48, None)
(   12.54 sec) ARMA                     : DEBUG           -> Training...
(   12.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.55 sec) Clustered ROM            : DEBUG           -> Training segment 2 slice(48, 72, None)
(   12.55 sec) ARMA                     : DEBUG           -> Training...
(   12.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.56 sec) Clustered ROM            : DEBUG           -> Training segment 3 slice(72, 96, None)
(   12.56 sec) ARMA                     : DEBUG           -> Training...
(   12.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.57 sec) Clustered ROM            : DEBUG           -> Training segment 4 slice(96, 120, None)
(   12.57 sec) ARMA                     : DEBUG           -> Training...
(   12.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.60 sec) Clustered ROM            : DEBUG           -> Training segment 5 slice(120, 144, None)
(   12.60 sec) ARMA                     : DEBUG           -> Training...
(   12.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.62 sec) Clustered ROM            : DEBUG           -> Training segment 6 slice(144, 168, None)
(   12.62 sec) ARMA                     : DEBUG           -> Training...
(   12.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.63 sec) Clustered ROM            : DEBUG           -> Training segment 7 slice(168, 192, None)
(   12.63 sec) ARMA                     : DEBUG           -> Training...
(   12.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.64 sec) Clustered ROM            : DEBUG           -> Training segment 8 slice(192, 216, None)
(   12.64 sec) ARMA                     : DEBUG           -> Training...
(   12.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.66 sec) Clustered ROM            : DEBUG           -> Training segment 9 slice(216, 240, None)
(   12.66 sec) ARMA                     : DEBUG           -> Training...
(   12.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.66 sec) Clustered ROM            : DEBUG           -> Training segment 10 slice(240, 264, None)
(   12.66 sec) ARMA                     : DEBUG           -> Training...
(   12.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.69 sec) Clustered ROM            : DEBUG           -> Training segment 11 slice(264, 288, None)
(   12.69 sec) ARMA                     : DEBUG           -> Training...
(   12.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.72 sec) Clustered ROM            : DEBUG           -> Training segment 12 slice(288, 312, None)
(   12.72 sec) ARMA                     : DEBUG           -> Training...
(   12.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.74 sec) Clustered ROM            : DEBUG           -> Training segment 13 slice(312, 336, None)
(   12.74 sec) ARMA                     : DEBUG           -> Training...
(   12.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.76 sec) Clustered ROM            : DEBUG           -> Training segment 14 slice(336, 360, None)
(   12.76 sec) ARMA                     : DEBUG           -> Training...
(   12.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.76 sec) Clustered ROM            : DEBUG           -> Training segment 15 slice(360, 384, None)
(   12.76 sec) ARMA                     : DEBUG           -> Training...
(   12.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.82 sec) Clustered ROM            : DEBUG           -> Training segment 16 slice(384, 408, None)
(   12.82 sec) ARMA                     : DEBUG           -> Training...
(   12.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.83 sec) Clustered ROM            : DEBUG           -> Training segment 17 slice(408, 432, None)
(   12.83 sec) ARMA                     : DEBUG           -> Training...
(   12.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.84 sec) Clustered ROM            : DEBUG           -> Training segment 18 slice(432, 456, None)
(   12.84 sec) ARMA                     : DEBUG           -> Training...
(   12.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.85 sec) Clustered ROM            : DEBUG           -> Training segment 19 slice(456, 480, None)
(   12.85 sec) ARMA                     : DEBUG           -> Training...
(   12.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.89 sec) Clustered ROM            : DEBUG           -> Training segment 20 slice(480, 504, None)
(   12.89 sec) ARMA                     : DEBUG           -> Training...
(   12.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.90 sec) Clustered ROM            : DEBUG           -> Training segment 21 slice(504, 528, None)
(   12.90 sec) ARMA                     : DEBUG           -> Training...
(   12.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.91 sec) Clustered ROM            : DEBUG           -> Training segment 22 slice(528, 552, None)
(   12.91 sec) ARMA                     : DEBUG           -> Training...
(   12.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.92 sec) Clustered ROM            : DEBUG           -> Training segment 23 slice(552, 576, None)
(   12.92 sec) ARMA                     : DEBUG           -> Training...
(   12.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.93 sec) Clustered ROM            : DEBUG           -> Training segment 24 slice(576, 600, None)
(   12.93 sec) ARMA                     : DEBUG           -> Training...
(   12.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.94 sec) Clustered ROM            : DEBUG           -> Training segment 25 slice(600, 624, None)
(   12.94 sec) ARMA                     : DEBUG           -> Training...
(   12.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.97 sec) Clustered ROM            : DEBUG           -> Training segment 26 slice(624, 648, None)
(   12.97 sec) ARMA                     : DEBUG           -> Training...
(   12.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   12.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   12.98 sec) Clustered ROM            : DEBUG           -> Training segment 27 slice(648, 672, None)
(   12.98 sec) ARMA                     : DEBUG           -> Training...
(   12.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   12.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   12.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   12.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   12.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.01 sec) Clustered ROM            : DEBUG           -> Training segment 28 slice(672, 696, None)
(   13.01 sec) ARMA                     : DEBUG           -> Training...
(   13.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.03 sec) Clustered ROM            : DEBUG           -> Training segment 29 slice(696, 720, None)
(   13.03 sec) ARMA                     : DEBUG           -> Training...
(   13.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.04 sec) Clustered ROM            : DEBUG           -> Training segment 30 slice(720, 744, None)
(   13.04 sec) ARMA                     : DEBUG           -> Training...
(   13.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.05 sec) Clustered ROM            : DEBUG           -> Training segment 31 slice(744, 768, None)
(   13.05 sec) ARMA                     : DEBUG           -> Training...
(   13.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.06 sec) Clustered ROM            : DEBUG           -> Training segment 32 slice(768, 792, None)
(   13.06 sec) ARMA                     : DEBUG           -> Training...
(   13.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.08 sec) Clustered ROM            : DEBUG           -> Training segment 33 slice(792, 816, None)
(   13.08 sec) ARMA                     : DEBUG           -> Training...
(   13.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.09 sec) Clustered ROM            : DEBUG           -> Training segment 34 slice(816, 840, None)
(   13.09 sec) ARMA                     : DEBUG           -> Training...
(   13.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.10 sec) Clustered ROM            : DEBUG           -> Training segment 35 slice(840, 864, None)
(   13.10 sec) ARMA                     : DEBUG           -> Training...
(   13.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.11 sec) Clustered ROM            : DEBUG           -> Training segment 36 slice(864, 888, None)
(   13.11 sec) ARMA                     : DEBUG           -> Training...
(   13.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.13 sec) Clustered ROM            : DEBUG           -> Training segment 37 slice(888, 912, None)
(   13.13 sec) ARMA                     : DEBUG           -> Training...
(   13.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.14 sec) Clustered ROM            : DEBUG           -> Training segment 38 slice(912, 936, None)
(   13.14 sec) ARMA                     : DEBUG           -> Training...
(   13.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.17 sec) Clustered ROM            : DEBUG           -> Training segment 39 slice(936, 960, None)
(   13.17 sec) ARMA                     : DEBUG           -> Training...
(   13.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.18 sec) Clustered ROM            : DEBUG           -> Training segment 40 slice(960, 984, None)
(   13.18 sec) ARMA                     : DEBUG           -> Training...
(   13.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.20 sec) Clustered ROM            : DEBUG           -> Training segment 41 slice(984, 1008, None)
(   13.20 sec) ARMA                     : DEBUG           -> Training...
(   13.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.21 sec) Clustered ROM            : DEBUG           -> Training segment 42 slice(1008, 1032, None)
(   13.21 sec) ARMA                     : DEBUG           -> Training...
(   13.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.22 sec) Clustered ROM            : DEBUG           -> Training segment 43 slice(1032, 1056, None)
(   13.22 sec) ARMA                     : DEBUG           -> Training...
(   13.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.23 sec) Clustered ROM            : DEBUG           -> Training segment 44 slice(1056, 1080, None)
(   13.23 sec) ARMA                     : DEBUG           -> Training...
(   13.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.26 sec) Clustered ROM            : DEBUG           -> Training segment 45 slice(1080, 1104, None)
(   13.26 sec) ARMA                     : DEBUG           -> Training...
(   13.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.27 sec) Clustered ROM            : DEBUG           -> Training segment 46 slice(1104, 1128, None)
(   13.27 sec) ARMA                     : DEBUG           -> Training...
(   13.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.30 sec) Clustered ROM            : DEBUG           -> Training segment 47 slice(1128, 1152, None)
(   13.30 sec) ARMA                     : DEBUG           -> Training...
(   13.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.31 sec) Clustered ROM            : DEBUG           -> Training segment 48 slice(1152, 1176, None)
(   13.31 sec) ARMA                     : DEBUG           -> Training...
(   13.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.32 sec) Clustered ROM            : DEBUG           -> Training segment 49 slice(1176, 1200, None)
(   13.32 sec) ARMA                     : DEBUG           -> Training...
(   13.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.33 sec) Clustered ROM            : DEBUG           -> Training segment 50 slice(1200, 1224, None)
(   13.33 sec) ARMA                     : DEBUG           -> Training...
(   13.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.36 sec) Clustered ROM            : DEBUG           -> Training segment 51 slice(1224, 1248, None)
(   13.36 sec) ARMA                     : DEBUG           -> Training...
(   13.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.41 sec) Clustered ROM            : DEBUG           -> Training segment 52 slice(1248, 1272, None)
(   13.41 sec) ARMA                     : DEBUG           -> Training...
(   13.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.42 sec) Clustered ROM            : DEBUG           -> Training segment 53 slice(1272, 1296, None)
(   13.42 sec) ARMA                     : DEBUG           -> Training...
(   13.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.45 sec) Clustered ROM            : DEBUG           -> Training segment 54 slice(1296, 1320, None)
(   13.45 sec) ARMA                     : DEBUG           -> Training...
(   13.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.47 sec) Clustered ROM            : DEBUG           -> Training segment 55 slice(1320, 1344, None)
(   13.47 sec) ARMA                     : DEBUG           -> Training...
(   13.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.48 sec) Clustered ROM            : DEBUG           -> Training segment 56 slice(1344, 1368, None)
(   13.48 sec) ARMA                     : DEBUG           -> Training...
(   13.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.48 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.49 sec) Clustered ROM            : DEBUG           -> Training segment 57 slice(1368, 1392, None)
(   13.49 sec) ARMA                     : DEBUG           -> Training...
(   13.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.52 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.52 sec) Clustered ROM            : DEBUG           -> Training segment 58 slice(1392, 1416, None)
(   13.52 sec) ARMA                     : DEBUG           -> Training...
(   13.52 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.52 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.54 sec) Clustered ROM            : DEBUG           -> Training segment 59 slice(1416, 1440, None)
(   13.54 sec) ARMA                     : DEBUG           -> Training...
(   13.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.56 sec) Clustered ROM            : DEBUG           -> Training segment 60 slice(1440, 1464, None)
(   13.56 sec) ARMA                     : DEBUG           -> Training...
(   13.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.57 sec) Clustered ROM            : DEBUG           -> Training segment 61 slice(1464, 1488, None)
(   13.57 sec) ARMA                     : DEBUG           -> Training...
(   13.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.59 sec) Clustered ROM            : DEBUG           -> Training segment 62 slice(1488, 1512, None)
(   13.59 sec) ARMA                     : DEBUG           -> Training...
(   13.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.60 sec) Clustered ROM            : DEBUG           -> Training segment 63 slice(1512, 1536, None)
(   13.60 sec) ARMA                     : DEBUG           -> Training...
(   13.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.61 sec) Clustered ROM            : DEBUG           -> Training segment 64 slice(1536, 1560, None)
(   13.61 sec) ARMA                     : DEBUG           -> Training...
(   13.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.62 sec) Clustered ROM            : DEBUG           -> Training segment 65 slice(1560, 1584, None)
(   13.62 sec) ARMA                     : DEBUG           -> Training...
(   13.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.66 sec) Clustered ROM            : DEBUG           -> Training segment 66 slice(1584, 1608, None)
(   13.66 sec) ARMA                     : DEBUG           -> Training...
(   13.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.69 sec) Clustered ROM            : DEBUG           -> Training segment 67 slice(1608, 1632, None)
(   13.69 sec) ARMA                     : DEBUG           -> Training...
(   13.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.70 sec) Clustered ROM            : DEBUG           -> Training segment 68 slice(1632, 1656, None)
(   13.70 sec) ARMA                     : DEBUG           -> Training...
(   13.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.71 sec) Clustered ROM            : DEBUG           -> Training segment 69 slice(1656, 1680, None)
(   13.71 sec) ARMA                     : DEBUG           -> Training...
(   13.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.71 sec) Clustered ROM            : DEBUG           -> Training segment 70 slice(1680, 1704, None)
(   13.71 sec) ARMA                     : DEBUG           -> Training...
(   13.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.72 sec) Clustered ROM            : DEBUG           -> Training segment 71 slice(1704, 1728, None)
(   13.72 sec) ARMA                     : DEBUG           -> Training...
(   13.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.74 sec) Clustered ROM            : DEBUG           -> Training segment 72 slice(1728, 1752, None)
(   13.74 sec) ARMA                     : DEBUG           -> Training...
(   13.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.75 sec) Clustered ROM            : DEBUG           -> Training segment 73 slice(1752, 1776, None)
(   13.75 sec) ARMA                     : DEBUG           -> Training...
(   13.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.78 sec) Clustered ROM            : DEBUG           -> Training segment 74 slice(1776, 1800, None)
(   13.78 sec) ARMA                     : DEBUG           -> Training...
(   13.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.82 sec) Clustered ROM            : DEBUG           -> Training segment 75 slice(1800, 1824, None)
(   13.82 sec) ARMA                     : DEBUG           -> Training...
(   13.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.83 sec) Clustered ROM            : DEBUG           -> Training segment 76 slice(1824, 1848, None)
(   13.83 sec) ARMA                     : DEBUG           -> Training...
(   13.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.85 sec) Clustered ROM            : DEBUG           -> Training segment 77 slice(1848, 1872, None)
(   13.85 sec) ARMA                     : DEBUG           -> Training...
(   13.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.86 sec) Clustered ROM            : DEBUG           -> Training segment 78 slice(1872, 1896, None)
(   13.86 sec) ARMA                     : DEBUG           -> Training...
(   13.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.87 sec) Clustered ROM            : DEBUG           -> Training segment 79 slice(1896, 1920, None)
(   13.87 sec) ARMA                     : DEBUG           -> Training...
(   13.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.89 sec) Clustered ROM            : DEBUG           -> Training segment 80 slice(1920, 1944, None)
(   13.89 sec) ARMA                     : DEBUG           -> Training...
(   13.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.90 sec) Clustered ROM            : DEBUG           -> Training segment 81 slice(1944, 1968, None)
(   13.90 sec) ARMA                     : DEBUG           -> Training...
(   13.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.91 sec) Clustered ROM            : DEBUG           -> Training segment 82 slice(1968, 1992, None)
(   13.91 sec) ARMA                     : DEBUG           -> Training...
(   13.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.91 sec) Clustered ROM            : DEBUG           -> Training segment 83 slice(1992, 2016, None)
(   13.91 sec) ARMA                     : DEBUG           -> Training...
(   13.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.93 sec) Clustered ROM            : DEBUG           -> Training segment 84 slice(2016, 2040, None)
(   13.93 sec) ARMA                     : DEBUG           -> Training...
(   13.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.94 sec) Clustered ROM            : DEBUG           -> Training segment 85 slice(2040, 2064, None)
(   13.94 sec) ARMA                     : DEBUG           -> Training...
(   13.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   13.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   13.97 sec) Clustered ROM            : DEBUG           -> Training segment 86 slice(2064, 2088, None)
(   13.97 sec) ARMA                     : DEBUG           -> Training...
(   13.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   13.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   13.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   13.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   13.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.01 sec) Clustered ROM            : DEBUG           -> Training segment 87 slice(2088, 2112, None)
(   14.01 sec) ARMA                     : DEBUG           -> Training...
(   14.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.04 sec) Clustered ROM            : DEBUG           -> Training segment 88 slice(2112, 2136, None)
(   14.04 sec) ARMA                     : DEBUG           -> Training...
(   14.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.06 sec) Clustered ROM            : DEBUG           -> Training segment 89 slice(2136, 2160, None)
(   14.06 sec) ARMA                     : DEBUG           -> Training...
(   14.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.06 sec) Clustered ROM            : DEBUG           -> Training segment 90 slice(2160, 2184, None)
(   14.06 sec) ARMA                     : DEBUG           -> Training...
(   14.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.08 sec) Clustered ROM            : DEBUG           -> Training segment 91 slice(2184, 2208, None)
(   14.08 sec) ARMA                     : DEBUG           -> Training...
(   14.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.09 sec) Clustered ROM            : DEBUG           -> Training segment 92 slice(2208, 2232, None)
(   14.09 sec) ARMA                     : DEBUG           -> Training...
(   14.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.10 sec) Clustered ROM            : DEBUG           -> Training segment 93 slice(2232, 2256, None)
(   14.10 sec) ARMA                     : DEBUG           -> Training...
(   14.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.11 sec) Clustered ROM            : DEBUG           -> Training segment 94 slice(2256, 2280, None)
(   14.11 sec) ARMA                     : DEBUG           -> Training...
(   14.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.12 sec) Clustered ROM            : DEBUG           -> Training segment 95 slice(2280, 2304, None)
(   14.12 sec) ARMA                     : DEBUG           -> Training...
(   14.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.14 sec) Clustered ROM            : DEBUG           -> Training segment 96 slice(2304, 2328, None)
(   14.14 sec) ARMA                     : DEBUG           -> Training...
(   14.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.15 sec) Clustered ROM            : DEBUG           -> Training segment 97 slice(2328, 2352, None)
(   14.15 sec) ARMA                     : DEBUG           -> Training...
(   14.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.16 sec) Clustered ROM            : DEBUG           -> Training segment 98 slice(2352, 2376, None)
(   14.16 sec) ARMA                     : DEBUG           -> Training...
(   14.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.18 sec) Clustered ROM            : DEBUG           -> Training segment 99 slice(2376, 2400, None)
(   14.18 sec) ARMA                     : DEBUG           -> Training...
(   14.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.19 sec) Clustered ROM            : DEBUG           -> Training segment 100 slice(2400, 2424, None)
(   14.19 sec) ARMA                     : DEBUG           -> Training...
(   14.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.22 sec) Clustered ROM            : DEBUG           -> Training segment 101 slice(2424, 2448, None)
(   14.22 sec) ARMA                     : DEBUG           -> Training...
(   14.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.24 sec) Clustered ROM            : DEBUG           -> Training segment 102 slice(2448, 2472, None)
(   14.24 sec) ARMA                     : DEBUG           -> Training...
(   14.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.25 sec) Clustered ROM            : DEBUG           -> Training segment 103 slice(2472, 2496, None)
(   14.25 sec) ARMA                     : DEBUG           -> Training...
(   14.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.26 sec) Clustered ROM            : DEBUG           -> Training segment 104 slice(2496, 2520, None)
(   14.26 sec) ARMA                     : DEBUG           -> Training...
(   14.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.27 sec) Clustered ROM            : DEBUG           -> Training segment 105 slice(2520, 2544, None)
(   14.27 sec) ARMA                     : DEBUG           -> Training...
(   14.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.29 sec) Clustered ROM            : DEBUG           -> Training segment 106 slice(2544, 2568, None)
(   14.29 sec) ARMA                     : DEBUG           -> Training...
(   14.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.30 sec) Clustered ROM            : DEBUG           -> Training segment 107 slice(2568, 2592, None)
(   14.30 sec) ARMA                     : DEBUG           -> Training...
(   14.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.31 sec) Clustered ROM            : DEBUG           -> Training segment 108 slice(2592, 2616, None)
(   14.31 sec) ARMA                     : DEBUG           -> Training...
(   14.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.32 sec) Clustered ROM            : DEBUG           -> Training segment 109 slice(2616, 2640, None)
(   14.32 sec) ARMA                     : DEBUG           -> Training...
(   14.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.33 sec) Clustered ROM            : DEBUG           -> Training segment 110 slice(2640, 2664, None)
(   14.33 sec) ARMA                     : DEBUG           -> Training...
(   14.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.35 sec) Clustered ROM            : DEBUG           -> Training segment 111 slice(2664, 2688, None)
(   14.35 sec) ARMA                     : DEBUG           -> Training...
(   14.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.36 sec) Clustered ROM            : DEBUG           -> Training segment 112 slice(2688, 2712, None)
(   14.36 sec) ARMA                     : DEBUG           -> Training...
(   14.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.36 sec) Clustered ROM            : DEBUG           -> Training segment 113 slice(2712, 2736, None)
(   14.36 sec) ARMA                     : DEBUG           -> Training...
(   14.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.37 sec) Clustered ROM            : DEBUG           -> Training segment 114 slice(2736, 2760, None)
(   14.37 sec) ARMA                     : DEBUG           -> Training...
(   14.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.40 sec) Clustered ROM            : DEBUG           -> Training segment 115 slice(2760, 2784, None)
(   14.40 sec) ARMA                     : DEBUG           -> Training...
(   14.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.41 sec) Clustered ROM            : DEBUG           -> Training segment 116 slice(2784, 2808, None)
(   14.41 sec) ARMA                     : DEBUG           -> Training...
(   14.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.42 sec) Clustered ROM            : DEBUG           -> Training segment 117 slice(2808, 2832, None)
(   14.42 sec) ARMA                     : DEBUG           -> Training...
(   14.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.43 sec) Clustered ROM            : DEBUG           -> Training segment 118 slice(2832, 2856, None)
(   14.43 sec) ARMA                     : DEBUG           -> Training...
(   14.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.44 sec) Clustered ROM            : DEBUG           -> Training segment 119 slice(2856, 2880, None)
(   14.44 sec) ARMA                     : DEBUG           -> Training...
(   14.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.46 sec) Clustered ROM            : DEBUG           -> Training segment 120 slice(2880, 2904, None)
(   14.46 sec) ARMA                     : DEBUG           -> Training...
(   14.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.46 sec) Clustered ROM            : DEBUG           -> Training segment 121 slice(2904, 2928, None)
(   14.46 sec) ARMA                     : DEBUG           -> Training...
(   14.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.47 sec) Clustered ROM            : DEBUG           -> Training segment 122 slice(2928, 2952, None)
(   14.47 sec) ARMA                     : DEBUG           -> Training...
(   14.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.48 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.51 sec) Clustered ROM            : DEBUG           -> Training segment 123 slice(2952, 2976, None)
(   14.51 sec) ARMA                     : DEBUG           -> Training...
(   14.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.52 sec) Clustered ROM            : DEBUG           -> Training segment 124 slice(2976, 3000, None)
(   14.52 sec) ARMA                     : DEBUG           -> Training...
(   14.52 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.52 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.53 sec) Clustered ROM            : DEBUG           -> Training segment 125 slice(3000, 3024, None)
(   14.53 sec) ARMA                     : DEBUG           -> Training...
(   14.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.54 sec) Clustered ROM            : DEBUG           -> Training segment 126 slice(3024, 3048, None)
(   14.54 sec) ARMA                     : DEBUG           -> Training...
(   14.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.57 sec) Clustered ROM            : DEBUG           -> Training segment 127 slice(3048, 3072, None)
(   14.57 sec) ARMA                     : DEBUG           -> Training...
(   14.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.58 sec) Clustered ROM            : DEBUG           -> Training segment 128 slice(3072, 3096, None)
(   14.58 sec) ARMA                     : DEBUG           -> Training...
(   14.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.60 sec) Clustered ROM            : DEBUG           -> Training segment 129 slice(3096, 3120, None)
(   14.60 sec) ARMA                     : DEBUG           -> Training...
(   14.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.61 sec) Clustered ROM            : DEBUG           -> Training segment 130 slice(3120, 3144, None)
(   14.61 sec) ARMA                     : DEBUG           -> Training...
(   14.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.61 sec) Clustered ROM            : DEBUG           -> Training segment 131 slice(3144, 3168, None)
(   14.61 sec) ARMA                     : DEBUG           -> Training...
(   14.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.63 sec) Clustered ROM            : DEBUG           -> Training segment 132 slice(3168, 3192, None)
(   14.63 sec) ARMA                     : DEBUG           -> Training...
(   14.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.64 sec) Clustered ROM            : DEBUG           -> Training segment 133 slice(3192, 3216, None)
(   14.64 sec) ARMA                     : DEBUG           -> Training...
(   14.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.65 sec) Clustered ROM            : DEBUG           -> Training segment 134 slice(3216, 3240, None)
(   14.65 sec) ARMA                     : DEBUG           -> Training...
(   14.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.66 sec) Clustered ROM            : DEBUG           -> Training segment 135 slice(3240, 3264, None)
(   14.66 sec) ARMA                     : DEBUG           -> Training...
(   14.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.67 sec) Clustered ROM            : DEBUG           -> Training segment 136 slice(3264, 3288, None)
(   14.67 sec) ARMA                     : DEBUG           -> Training...
(   14.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.69 sec) Clustered ROM            : DEBUG           -> Training segment 137 slice(3288, 3312, None)
(   14.69 sec) ARMA                     : DEBUG           -> Training...
(   14.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.70 sec) Clustered ROM            : DEBUG           -> Training segment 138 slice(3312, 3336, None)
(   14.70 sec) ARMA                     : DEBUG           -> Training...
(   14.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.71 sec) Clustered ROM            : DEBUG           -> Training segment 139 slice(3336, 3360, None)
(   14.71 sec) ARMA                     : DEBUG           -> Training...
(   14.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.72 sec) Clustered ROM            : DEBUG           -> Training segment 140 slice(3360, 3384, None)
(   14.72 sec) ARMA                     : DEBUG           -> Training...
(   14.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.74 sec) Clustered ROM            : DEBUG           -> Training segment 141 slice(3384, 3408, None)
(   14.74 sec) ARMA                     : DEBUG           -> Training...
(   14.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.77 sec) Clustered ROM            : DEBUG           -> Training segment 142 slice(3408, 3432, None)
(   14.77 sec) ARMA                     : DEBUG           -> Training...
(   14.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.78 sec) Clustered ROM            : DEBUG           -> Training segment 143 slice(3432, 3456, None)
(   14.78 sec) ARMA                     : DEBUG           -> Training...
(   14.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.79 sec) Clustered ROM            : DEBUG           -> Training segment 144 slice(3456, 3480, None)
(   14.79 sec) ARMA                     : DEBUG           -> Training...
(   14.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.81 sec) Clustered ROM            : DEBUG           -> Training segment 145 slice(3480, 3504, None)
(   14.81 sec) ARMA                     : DEBUG           -> Training...
(   14.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.83 sec) Clustered ROM            : DEBUG           -> Training segment 146 slice(3504, 3528, None)
(   14.83 sec) ARMA                     : DEBUG           -> Training...
(   14.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.85 sec) Clustered ROM            : DEBUG           -> Training segment 147 slice(3528, 3552, None)
(   14.85 sec) ARMA                     : DEBUG           -> Training...
(   14.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.85 sec) Clustered ROM            : DEBUG           -> Training segment 148 slice(3552, 3576, None)
(   14.85 sec) ARMA                     : DEBUG           -> Training...
(   14.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.87 sec) Clustered ROM            : DEBUG           -> Training segment 149 slice(3576, 3600, None)
(   14.87 sec) ARMA                     : DEBUG           -> Training...
(   14.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.91 sec) Clustered ROM            : DEBUG           -> Training segment 150 slice(3600, 3624, None)
(   14.91 sec) ARMA                     : DEBUG           -> Training...
(   14.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.93 sec) Clustered ROM            : DEBUG           -> Training segment 151 slice(3624, 3648, None)
(   14.93 sec) ARMA                     : DEBUG           -> Training...
(   14.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.94 sec) Clustered ROM            : DEBUG           -> Training segment 152 slice(3648, 3672, None)
(   14.94 sec) ARMA                     : DEBUG           -> Training...
(   14.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.96 sec) Clustered ROM            : DEBUG           -> Training segment 153 slice(3672, 3696, None)
(   14.96 sec) ARMA                     : DEBUG           -> Training...
(   14.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.97 sec) Clustered ROM            : DEBUG           -> Training segment 154 slice(3696, 3720, None)
(   14.97 sec) ARMA                     : DEBUG           -> Training...
(   14.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.98 sec) Clustered ROM            : DEBUG           -> Training segment 155 slice(3720, 3744, None)
(   14.98 sec) ARMA                     : DEBUG           -> Training...
(   14.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.98 sec) Clustered ROM            : DEBUG           -> Training segment 156 slice(3744, 3768, None)
(   14.98 sec) ARMA                     : DEBUG           -> Training...
(   14.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   14.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   14.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   14.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   14.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   14.99 sec) Clustered ROM            : DEBUG           -> Training segment 157 slice(3768, 3792, None)
(   14.99 sec) ARMA                     : DEBUG           -> Training...
(   14.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   14.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.02 sec) Clustered ROM            : DEBUG           -> Training segment 158 slice(3792, 3816, None)
(   15.02 sec) ARMA                     : DEBUG           -> Training...
(   15.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.03 sec) Clustered ROM            : DEBUG           -> Training segment 159 slice(3816, 3840, None)
(   15.03 sec) ARMA                     : DEBUG           -> Training...
(   15.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.05 sec) Clustered ROM            : DEBUG           -> Training segment 160 slice(3840, 3864, None)
(   15.05 sec) ARMA                     : DEBUG           -> Training...
(   15.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.06 sec) Clustered ROM            : DEBUG           -> Training segment 161 slice(3864, 3888, None)
(   15.06 sec) ARMA                     : DEBUG           -> Training...
(   15.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.07 sec) Clustered ROM            : DEBUG           -> Training segment 162 slice(3888, 3912, None)
(   15.07 sec) ARMA                     : DEBUG           -> Training...
(   15.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.08 sec) Clustered ROM            : DEBUG           -> Training segment 163 slice(3912, 3936, None)
(   15.08 sec) ARMA                     : DEBUG           -> Training...
(   15.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.09 sec) Clustered ROM            : DEBUG           -> Training segment 164 slice(3936, 3960, None)
(   15.09 sec) ARMA                     : DEBUG           -> Training...
(   15.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.10 sec) Clustered ROM            : DEBUG           -> Training segment 165 slice(3960, 3984, None)
(   15.10 sec) ARMA                     : DEBUG           -> Training...
(   15.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.11 sec) Clustered ROM            : DEBUG           -> Training segment 166 slice(3984, 4008, None)
(   15.11 sec) ARMA                     : DEBUG           -> Training...
(   15.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.12 sec) Clustered ROM            : DEBUG           -> Training segment 167 slice(4008, 4032, None)
(   15.12 sec) ARMA                     : DEBUG           -> Training...
(   15.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.14 sec) Clustered ROM            : DEBUG           -> Training segment 168 slice(4032, 4056, None)
(   15.14 sec) ARMA                     : DEBUG           -> Training...
(   15.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.15 sec) Clustered ROM            : DEBUG           -> Training segment 169 slice(4056, 4080, None)
(   15.15 sec) ARMA                     : DEBUG           -> Training...
(   15.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.16 sec) Clustered ROM            : DEBUG           -> Training segment 170 slice(4080, 4104, None)
(   15.16 sec) ARMA                     : DEBUG           -> Training...
(   15.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.17 sec) Clustered ROM            : DEBUG           -> Training segment 171 slice(4104, 4128, None)
(   15.17 sec) ARMA                     : DEBUG           -> Training...
(   15.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.18 sec) Clustered ROM            : DEBUG           -> Training segment 172 slice(4128, 4152, None)
(   15.18 sec) ARMA                     : DEBUG           -> Training...
(   15.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.19 sec) Clustered ROM            : DEBUG           -> Training segment 173 slice(4152, 4176, None)
(   15.19 sec) ARMA                     : DEBUG           -> Training...
(   15.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.21 sec) Clustered ROM            : DEBUG           -> Training segment 174 slice(4176, 4200, None)
(   15.21 sec) ARMA                     : DEBUG           -> Training...
(   15.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.21 sec) Clustered ROM            : DEBUG           -> Training segment 175 slice(4200, 4224, None)
(   15.21 sec) ARMA                     : DEBUG           -> Training...
(   15.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.22 sec) Clustered ROM            : DEBUG           -> Training segment 176 slice(4224, 4248, None)
(   15.22 sec) ARMA                     : DEBUG           -> Training...
(   15.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.24 sec) Clustered ROM            : DEBUG           -> Training segment 177 slice(4248, 4272, None)
(   15.24 sec) ARMA                     : DEBUG           -> Training...
(   15.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.26 sec) Clustered ROM            : DEBUG           -> Training segment 178 slice(4272, 4296, None)
(   15.26 sec) ARMA                     : DEBUG           -> Training...
(   15.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.27 sec) Clustered ROM            : DEBUG           -> Training segment 179 slice(4296, 4320, None)
(   15.27 sec) ARMA                     : DEBUG           -> Training...
(   15.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.28 sec) Clustered ROM            : DEBUG           -> Training segment 180 slice(4320, 4344, None)
(   15.28 sec) ARMA                     : DEBUG           -> Training...
(   15.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.28 sec) Clustered ROM            : DEBUG           -> Training segment 181 slice(4344, 4368, None)
(   15.28 sec) ARMA                     : DEBUG           -> Training...
(   15.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.30 sec) Clustered ROM            : DEBUG           -> Training segment 182 slice(4368, 4392, None)
(   15.30 sec) ARMA                     : DEBUG           -> Training...
(   15.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.31 sec) Clustered ROM            : DEBUG           -> Training segment 183 slice(4392, 4416, None)
(   15.31 sec) ARMA                     : DEBUG           -> Training...
(   15.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.32 sec) Clustered ROM            : DEBUG           -> Training segment 184 slice(4416, 4440, None)
(   15.32 sec) ARMA                     : DEBUG           -> Training...
(   15.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.33 sec) Clustered ROM            : DEBUG           -> Training segment 185 slice(4440, 4464, None)
(   15.33 sec) ARMA                     : DEBUG           -> Training...
(   15.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.34 sec) Clustered ROM            : DEBUG           -> Training segment 186 slice(4464, 4488, None)
(   15.34 sec) ARMA                     : DEBUG           -> Training...
(   15.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.35 sec) Clustered ROM            : DEBUG           -> Training segment 187 slice(4488, 4512, None)
(   15.35 sec) ARMA                     : DEBUG           -> Training...
(   15.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.37 sec) Clustered ROM            : DEBUG           -> Training segment 188 slice(4512, 4536, None)
(   15.37 sec) ARMA                     : DEBUG           -> Training...
(   15.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.37 sec) Clustered ROM            : DEBUG           -> Training segment 189 slice(4536, 4560, None)
(   15.37 sec) ARMA                     : DEBUG           -> Training...
(   15.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.38 sec) Clustered ROM            : DEBUG           -> Training segment 190 slice(4560, 4584, None)
(   15.38 sec) ARMA                     : DEBUG           -> Training...
(   15.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.40 sec) Clustered ROM            : DEBUG           -> Training segment 191 slice(4584, 4608, None)
(   15.40 sec) ARMA                     : DEBUG           -> Training...
(   15.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.41 sec) Clustered ROM            : DEBUG           -> Training segment 192 slice(4608, 4632, None)
(   15.41 sec) ARMA                     : DEBUG           -> Training...
(   15.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.42 sec) Clustered ROM            : DEBUG           -> Training segment 193 slice(4632, 4656, None)
(   15.42 sec) ARMA                     : DEBUG           -> Training...
(   15.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.44 sec) Clustered ROM            : DEBUG           -> Training segment 194 slice(4656, 4680, None)
(   15.44 sec) ARMA                     : DEBUG           -> Training...
(   15.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.45 sec) Clustered ROM            : DEBUG           -> Training segment 195 slice(4680, 4704, None)
(   15.45 sec) ARMA                     : DEBUG           -> Training...
(   15.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.48 sec) Clustered ROM            : DEBUG           -> Training segment 196 slice(4704, 4728, None)
(   15.48 sec) ARMA                     : DEBUG           -> Training...
(   15.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.48 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.49 sec) Clustered ROM            : DEBUG           -> Training segment 197 slice(4728, 4752, None)
(   15.49 sec) ARMA                     : DEBUG           -> Training...
(   15.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.50 sec) Clustered ROM            : DEBUG           -> Training segment 198 slice(4752, 4776, None)
(   15.50 sec) ARMA                     : DEBUG           -> Training...
(   15.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.51 sec) Clustered ROM            : DEBUG           -> Training segment 199 slice(4776, 4800, None)
(   15.51 sec) ARMA                     : DEBUG           -> Training...
(   15.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.53 sec) Clustered ROM            : DEBUG           -> Training segment 200 slice(4800, 4824, None)
(   15.53 sec) ARMA                     : DEBUG           -> Training...
(   15.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.54 sec) Clustered ROM            : DEBUG           -> Training segment 201 slice(4824, 4848, None)
(   15.54 sec) ARMA                     : DEBUG           -> Training...
(   15.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.54 sec) Clustered ROM            : DEBUG           -> Training segment 202 slice(4848, 4872, None)
(   15.54 sec) ARMA                     : DEBUG           -> Training...
(   15.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.55 sec) Clustered ROM            : DEBUG           -> Training segment 203 slice(4872, 4896, None)
(   15.55 sec) ARMA                     : DEBUG           -> Training...
(   15.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.57 sec) Clustered ROM            : DEBUG           -> Training segment 204 slice(4896, 4920, None)
(   15.57 sec) ARMA                     : DEBUG           -> Training...
(   15.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.58 sec) Clustered ROM            : DEBUG           -> Training segment 205 slice(4920, 4944, None)
(   15.58 sec) ARMA                     : DEBUG           -> Training...
(   15.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.58 sec) Clustered ROM            : DEBUG           -> Training segment 206 slice(4944, 4968, None)
(   15.59 sec) ARMA                     : DEBUG           -> Training...
(   15.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.62 sec) Clustered ROM            : DEBUG           -> Training segment 207 slice(4968, 4992, None)
(   15.62 sec) ARMA                     : DEBUG           -> Training...
(   15.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.62 sec) Clustered ROM            : DEBUG           -> Training segment 208 slice(4992, 5016, None)
(   15.62 sec) ARMA                     : DEBUG           -> Training...
(   15.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.64 sec) Clustered ROM            : DEBUG           -> Training segment 209 slice(5016, 5040, None)
(   15.64 sec) ARMA                     : DEBUG           -> Training...
(   15.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.65 sec) Clustered ROM            : DEBUG           -> Training segment 210 slice(5040, 5064, None)
(   15.65 sec) ARMA                     : DEBUG           -> Training...
(   15.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.66 sec) Clustered ROM            : DEBUG           -> Training segment 211 slice(5064, 5088, None)
(   15.66 sec) ARMA                     : DEBUG           -> Training...
(   15.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.67 sec) Clustered ROM            : DEBUG           -> Training segment 212 slice(5088, 5112, None)
(   15.67 sec) ARMA                     : DEBUG           -> Training...
(   15.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.68 sec) Clustered ROM            : DEBUG           -> Training segment 213 slice(5112, 5136, None)
(   15.68 sec) ARMA                     : DEBUG           -> Training...
(   15.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.69 sec) Clustered ROM            : DEBUG           -> Training segment 214 slice(5136, 5160, None)
(   15.69 sec) ARMA                     : DEBUG           -> Training...
(   15.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.71 sec) Clustered ROM            : DEBUG           -> Training segment 215 slice(5160, 5184, None)
(   15.71 sec) ARMA                     : DEBUG           -> Training...
(   15.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.71 sec) Clustered ROM            : DEBUG           -> Training segment 216 slice(5184, 5208, None)
(   15.71 sec) ARMA                     : DEBUG           -> Training...
(   15.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.74 sec) Clustered ROM            : DEBUG           -> Training segment 217 slice(5208, 5232, None)
(   15.74 sec) ARMA                     : DEBUG           -> Training...
(   15.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.76 sec) Clustered ROM            : DEBUG           -> Training segment 218 slice(5232, 5256, None)
(   15.76 sec) ARMA                     : DEBUG           -> Training...
(   15.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.79 sec) Clustered ROM            : DEBUG           -> Training segment 219 slice(5256, 5280, None)
(   15.79 sec) ARMA                     : DEBUG           -> Training...
(   15.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.80 sec) Clustered ROM            : DEBUG           -> Training segment 220 slice(5280, 5304, None)
(   15.80 sec) ARMA                     : DEBUG           -> Training...
(   15.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.81 sec) Clustered ROM            : DEBUG           -> Training segment 221 slice(5304, 5328, None)
(   15.81 sec) ARMA                     : DEBUG           -> Training...
(   15.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.83 sec) Clustered ROM            : DEBUG           -> Training segment 222 slice(5328, 5352, None)
(   15.83 sec) ARMA                     : DEBUG           -> Training...
(   15.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.85 sec) Clustered ROM            : DEBUG           -> Training segment 223 slice(5352, 5376, None)
(   15.85 sec) ARMA                     : DEBUG           -> Training...
(   15.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.86 sec) Clustered ROM            : DEBUG           -> Training segment 224 slice(5376, 5400, None)
(   15.86 sec) ARMA                     : DEBUG           -> Training...
(   15.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.87 sec) Clustered ROM            : DEBUG           -> Training segment 225 slice(5400, 5424, None)
(   15.87 sec) ARMA                     : DEBUG           -> Training...
(   15.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.88 sec) Clustered ROM            : DEBUG           -> Training segment 226 slice(5424, 5448, None)
(   15.88 sec) ARMA                     : DEBUG           -> Training...
(   15.88 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.88 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.88 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.88 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.88 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.92 sec) Clustered ROM            : DEBUG           -> Training segment 227 slice(5448, 5472, None)
(   15.92 sec) ARMA                     : DEBUG           -> Training...
(   15.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.93 sec) Clustered ROM            : DEBUG           -> Training segment 228 slice(5472, 5496, None)
(   15.93 sec) ARMA                     : DEBUG           -> Training...
(   15.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.94 sec) Clustered ROM            : DEBUG           -> Training segment 229 slice(5496, 5520, None)
(   15.94 sec) ARMA                     : DEBUG           -> Training...
(   15.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.94 sec) Clustered ROM            : DEBUG           -> Training segment 230 slice(5520, 5544, None)
(   15.94 sec) ARMA                     : DEBUG           -> Training...
(   15.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.96 sec) Clustered ROM            : DEBUG           -> Training segment 231 slice(5544, 5568, None)
(   15.96 sec) ARMA                     : DEBUG           -> Training...
(   15.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.97 sec) Clustered ROM            : DEBUG           -> Training segment 232 slice(5568, 5592, None)
(   15.97 sec) ARMA                     : DEBUG           -> Training...
(   15.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.98 sec) Clustered ROM            : DEBUG           -> Training segment 233 slice(5592, 5616, None)
(   15.98 sec) ARMA                     : DEBUG           -> Training...
(   15.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   15.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   15.99 sec) Clustered ROM            : DEBUG           -> Training segment 234 slice(5616, 5640, None)
(   15.99 sec) ARMA                     : DEBUG           -> Training...
(   15.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   15.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   15.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   15.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   15.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.00 sec) Clustered ROM            : DEBUG           -> Training segment 235 slice(5640, 5664, None)
(   16.00 sec) ARMA                     : DEBUG           -> Training...
(   16.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.02 sec) Clustered ROM            : DEBUG           -> Training segment 236 slice(5664, 5688, None)
(   16.02 sec) ARMA                     : DEBUG           -> Training...
(   16.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.03 sec) Clustered ROM            : DEBUG           -> Training segment 237 slice(5688, 5712, None)
(   16.03 sec) ARMA                     : DEBUG           -> Training...
(   16.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.03 sec) Clustered ROM            : DEBUG           -> Training segment 238 slice(5712, 5736, None)
(   16.03 sec) ARMA                     : DEBUG           -> Training...
(   16.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.04 sec) Clustered ROM            : DEBUG           -> Training segment 239 slice(5736, 5760, None)
(   16.04 sec) ARMA                     : DEBUG           -> Training...
(   16.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.05 sec) Clustered ROM            : DEBUG           -> Training segment 240 slice(5760, 5784, None)
(   16.05 sec) ARMA                     : DEBUG           -> Training...
(   16.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.07 sec) Clustered ROM            : DEBUG           -> Training segment 241 slice(5784, 5808, None)
(   16.07 sec) ARMA                     : DEBUG           -> Training...
(   16.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.08 sec) Clustered ROM            : DEBUG           -> Training segment 242 slice(5808, 5832, None)
(   16.08 sec) ARMA                     : DEBUG           -> Training...
(   16.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.09 sec) Clustered ROM            : DEBUG           -> Training segment 243 slice(5832, 5856, None)
(   16.09 sec) ARMA                     : DEBUG           -> Training...
(   16.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.10 sec) Clustered ROM            : DEBUG           -> Training segment 244 slice(5856, 5880, None)
(   16.10 sec) ARMA                     : DEBUG           -> Training...
(   16.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.11 sec) Clustered ROM            : DEBUG           -> Training segment 245 slice(5880, 5904, None)
(   16.11 sec) ARMA                     : DEBUG           -> Training...
(   16.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.14 sec) Clustered ROM            : DEBUG           -> Training segment 246 slice(5904, 5928, None)
(   16.14 sec) ARMA                     : DEBUG           -> Training...
(   16.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.15 sec) Clustered ROM            : DEBUG           -> Training segment 247 slice(5928, 5952, None)
(   16.15 sec) ARMA                     : DEBUG           -> Training...
(   16.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.17 sec) Clustered ROM            : DEBUG           -> Training segment 248 slice(5952, 5976, None)
(   16.17 sec) ARMA                     : DEBUG           -> Training...
(   16.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.18 sec) Clustered ROM            : DEBUG           -> Training segment 249 slice(5976, 6000, None)
(   16.18 sec) ARMA                     : DEBUG           -> Training...
(   16.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.19 sec) Clustered ROM            : DEBUG           -> Training segment 250 slice(6000, 6024, None)
(   16.19 sec) ARMA                     : DEBUG           -> Training...
(   16.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.20 sec) Clustered ROM            : DEBUG           -> Training segment 251 slice(6024, 6048, None)
(   16.20 sec) ARMA                     : DEBUG           -> Training...
(   16.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.22 sec) Clustered ROM            : DEBUG           -> Training segment 252 slice(6048, 6072, None)
(   16.22 sec) ARMA                     : DEBUG           -> Training...
(   16.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.23 sec) Clustered ROM            : DEBUG           -> Training segment 253 slice(6072, 6096, None)
(   16.23 sec) ARMA                     : DEBUG           -> Training...
(   16.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.24 sec) Clustered ROM            : DEBUG           -> Training segment 254 slice(6096, 6120, None)
(   16.24 sec) ARMA                     : DEBUG           -> Training...
(   16.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.26 sec) Clustered ROM            : DEBUG           -> Training segment 255 slice(6120, 6144, None)
(   16.26 sec) ARMA                     : DEBUG           -> Training...
(   16.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.26 sec) Clustered ROM            : DEBUG           -> Training segment 256 slice(6144, 6168, None)
(   16.26 sec) ARMA                     : DEBUG           -> Training...
(   16.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.30 sec) Clustered ROM            : DEBUG           -> Training segment 257 slice(6168, 6192, None)
(   16.30 sec) ARMA                     : DEBUG           -> Training...
(   16.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.31 sec) Clustered ROM            : DEBUG           -> Training segment 258 slice(6192, 6216, None)
(   16.31 sec) ARMA                     : DEBUG           -> Training...
(   16.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.32 sec) Clustered ROM            : DEBUG           -> Training segment 259 slice(6216, 6240, None)
(   16.32 sec) ARMA                     : DEBUG           -> Training...
(   16.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.33 sec) Clustered ROM            : DEBUG           -> Training segment 260 slice(6240, 6264, None)
(   16.33 sec) ARMA                     : DEBUG           -> Training...
(   16.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.35 sec) Clustered ROM            : DEBUG           -> Training segment 261 slice(6264, 6288, None)
(   16.35 sec) ARMA                     : DEBUG           -> Training...
(   16.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.38 sec) Clustered ROM            : DEBUG           -> Training segment 262 slice(6288, 6312, None)
(   16.38 sec) ARMA                     : DEBUG           -> Training...
(   16.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.39 sec) Clustered ROM            : DEBUG           -> Training segment 263 slice(6312, 6336, None)
(   16.39 sec) ARMA                     : DEBUG           -> Training...
(   16.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.40 sec) Clustered ROM            : DEBUG           -> Training segment 264 slice(6336, 6360, None)
(   16.40 sec) ARMA                     : DEBUG           -> Training...
(   16.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.41 sec) Clustered ROM            : DEBUG           -> Training segment 265 slice(6360, 6384, None)
(   16.41 sec) ARMA                     : DEBUG           -> Training...
(   16.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.42 sec) Clustered ROM            : DEBUG           -> Training segment 266 slice(6384, 6408, None)
(   16.42 sec) ARMA                     : DEBUG           -> Training...
(   16.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.43 sec) Clustered ROM            : DEBUG           -> Training segment 267 slice(6408, 6432, None)
(   16.43 sec) ARMA                     : DEBUG           -> Training...
(   16.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.45 sec) Clustered ROM            : DEBUG           -> Training segment 268 slice(6432, 6456, None)
(   16.45 sec) ARMA                     : DEBUG           -> Training...
(   16.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.45 sec) Clustered ROM            : DEBUG           -> Training segment 269 slice(6456, 6480, None)
(   16.45 sec) ARMA                     : DEBUG           -> Training...
(   16.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.49 sec) Clustered ROM            : DEBUG           -> Training segment 270 slice(6480, 6504, None)
(   16.49 sec) ARMA                     : DEBUG           -> Training...
(   16.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.50 sec) Clustered ROM            : DEBUG           -> Training segment 271 slice(6504, 6528, None)
(   16.50 sec) ARMA                     : DEBUG           -> Training...
(   16.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.51 sec) Clustered ROM            : DEBUG           -> Training segment 272 slice(6528, 6552, None)
(   16.51 sec) ARMA                     : DEBUG           -> Training...
(   16.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.53 sec) Clustered ROM            : DEBUG           -> Training segment 273 slice(6552, 6576, None)
(   16.53 sec) ARMA                     : DEBUG           -> Training...
(   16.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.54 sec) Clustered ROM            : DEBUG           -> Training segment 274 slice(6576, 6600, None)
(   16.54 sec) ARMA                     : DEBUG           -> Training...
(   16.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.54 sec) Clustered ROM            : DEBUG           -> Training segment 275 slice(6600, 6624, None)
(   16.54 sec) ARMA                     : DEBUG           -> Training...
(   16.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.58 sec) Clustered ROM            : DEBUG           -> Training segment 276 slice(6624, 6648, None)
(   16.58 sec) ARMA                     : DEBUG           -> Training...
(   16.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.58 sec) Clustered ROM            : DEBUG           -> Training segment 277 slice(6648, 6672, None)
(   16.58 sec) ARMA                     : DEBUG           -> Training...
(   16.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.60 sec) Clustered ROM            : DEBUG           -> Training segment 278 slice(6672, 6696, None)
(   16.60 sec) ARMA                     : DEBUG           -> Training...
(   16.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.61 sec) Clustered ROM            : DEBUG           -> Training segment 279 slice(6696, 6720, None)
(   16.61 sec) ARMA                     : DEBUG           -> Training...
(   16.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.65 sec) Clustered ROM            : DEBUG           -> Training segment 280 slice(6720, 6744, None)
(   16.65 sec) ARMA                     : DEBUG           -> Training...
(   16.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.66 sec) Clustered ROM            : DEBUG           -> Training segment 281 slice(6744, 6768, None)
(   16.66 sec) ARMA                     : DEBUG           -> Training...
(   16.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.67 sec) Clustered ROM            : DEBUG           -> Training segment 282 slice(6768, 6792, None)
(   16.67 sec) ARMA                     : DEBUG           -> Training...
(   16.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.68 sec) Clustered ROM            : DEBUG           -> Training segment 283 slice(6792, 6816, None)
(   16.68 sec) ARMA                     : DEBUG           -> Training...
(   16.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.70 sec) Clustered ROM            : DEBUG           -> Training segment 284 slice(6816, 6840, None)
(   16.70 sec) ARMA                     : DEBUG           -> Training...
(   16.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.73 sec) Clustered ROM            : DEBUG           -> Training segment 285 slice(6840, 6864, None)
(   16.73 sec) ARMA                     : DEBUG           -> Training...
(   16.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.75 sec) Clustered ROM            : DEBUG           -> Training segment 286 slice(6864, 6888, None)
(   16.75 sec) ARMA                     : DEBUG           -> Training...
(   16.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.76 sec) Clustered ROM            : DEBUG           -> Training segment 287 slice(6888, 6912, None)
(   16.76 sec) ARMA                     : DEBUG           -> Training...
(   16.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.78 sec) Clustered ROM            : DEBUG           -> Training segment 288 slice(6912, 6936, None)
(   16.78 sec) ARMA                     : DEBUG           -> Training...
(   16.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.79 sec) Clustered ROM            : DEBUG           -> Training segment 289 slice(6936, 6960, None)
(   16.79 sec) ARMA                     : DEBUG           -> Training...
(   16.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.81 sec) Clustered ROM            : DEBUG           -> Training segment 290 slice(6960, 6984, None)
(   16.81 sec) ARMA                     : DEBUG           -> Training...
(   16.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.82 sec) Clustered ROM            : DEBUG           -> Training segment 291 slice(6984, 7008, None)
(   16.82 sec) ARMA                     : DEBUG           -> Training...
(   16.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.82 sec) Clustered ROM            : DEBUG           -> Training segment 292 slice(7008, 7032, None)
(   16.82 sec) ARMA                     : DEBUG           -> Training...
(   16.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.84 sec) Clustered ROM            : DEBUG           -> Training segment 293 slice(7032, 7056, None)
(   16.84 sec) ARMA                     : DEBUG           -> Training...
(   16.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.85 sec) Clustered ROM            : DEBUG           -> Training segment 294 slice(7056, 7080, None)
(   16.85 sec) ARMA                     : DEBUG           -> Training...
(   16.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.87 sec) Clustered ROM            : DEBUG           -> Training segment 295 slice(7080, 7104, None)
(   16.87 sec) ARMA                     : DEBUG           -> Training...
(   16.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.88 sec) Clustered ROM            : DEBUG           -> Training segment 296 slice(7104, 7128, None)
(   16.89 sec) ARMA                     : DEBUG           -> Training...
(   16.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.90 sec) Clustered ROM            : DEBUG           -> Training segment 297 slice(7128, 7152, None)
(   16.90 sec) ARMA                     : DEBUG           -> Training...
(   16.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.94 sec) Clustered ROM            : DEBUG           -> Training segment 298 slice(7152, 7176, None)
(   16.94 sec) ARMA                     : DEBUG           -> Training...
(   16.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.96 sec) Clustered ROM            : DEBUG           -> Training segment 299 slice(7176, 7200, None)
(   16.96 sec) ARMA                     : DEBUG           -> Training...
(   16.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.98 sec) Clustered ROM            : DEBUG           -> Training segment 300 slice(7200, 7224, None)
(   16.98 sec) ARMA                     : DEBUG           -> Training...
(   16.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   16.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   16.99 sec) Clustered ROM            : DEBUG           -> Training segment 301 slice(7224, 7248, None)
(   16.99 sec) ARMA                     : DEBUG           -> Training...
(   16.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   16.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   16.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   16.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   16.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.00 sec) Clustered ROM            : DEBUG           -> Training segment 302 slice(7248, 7272, None)
(   17.00 sec) ARMA                     : DEBUG           -> Training...
(   17.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.00 sec) Clustered ROM            : DEBUG           -> Training segment 303 slice(7272, 7296, None)
(   17.00 sec) ARMA                     : DEBUG           -> Training...
(   17.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.01 sec) Clustered ROM            : DEBUG           -> Training segment 304 slice(7296, 7320, None)
(   17.01 sec) ARMA                     : DEBUG           -> Training...
(   17.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.03 sec) Clustered ROM            : DEBUG           -> Training segment 305 slice(7320, 7344, None)
(   17.03 sec) ARMA                     : DEBUG           -> Training...
(   17.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.04 sec) Clustered ROM            : DEBUG           -> Training segment 306 slice(7344, 7368, None)
(   17.04 sec) ARMA                     : DEBUG           -> Training...
(   17.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.05 sec) Clustered ROM            : DEBUG           -> Training segment 307 slice(7368, 7392, None)
(   17.05 sec) ARMA                     : DEBUG           -> Training...
(   17.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.07 sec) Clustered ROM            : DEBUG           -> Training segment 308 slice(7392, 7416, None)
(   17.07 sec) ARMA                     : DEBUG           -> Training...
(   17.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.08 sec) Clustered ROM            : DEBUG           -> Training segment 309 slice(7416, 7440, None)
(   17.08 sec) ARMA                     : DEBUG           -> Training...
(   17.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.08 sec) Clustered ROM            : DEBUG           -> Training segment 310 slice(7440, 7464, None)
(   17.08 sec) ARMA                     : DEBUG           -> Training...
(   17.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.12 sec) Clustered ROM            : DEBUG           -> Training segment 311 slice(7464, 7488, None)
(   17.12 sec) ARMA                     : DEBUG           -> Training...
(   17.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.15 sec) Clustered ROM            : DEBUG           -> Training segment 312 slice(7488, 7512, None)
(   17.15 sec) ARMA                     : DEBUG           -> Training...
(   17.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.16 sec) Clustered ROM            : DEBUG           -> Training segment 313 slice(7512, 7536, None)
(   17.16 sec) ARMA                     : DEBUG           -> Training...
(   17.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.17 sec) Clustered ROM            : DEBUG           -> Training segment 314 slice(7536, 7560, None)
(   17.17 sec) ARMA                     : DEBUG           -> Training...
(   17.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.21 sec) Clustered ROM            : DEBUG           -> Training segment 315 slice(7560, 7584, None)
(   17.21 sec) ARMA                     : DEBUG           -> Training...
(   17.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.21 sec) Clustered ROM            : DEBUG           -> Training segment 316 slice(7584, 7608, None)
(   17.21 sec) ARMA                     : DEBUG           -> Training...
(   17.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.23 sec) Clustered ROM            : DEBUG           -> Training segment 317 slice(7608, 7632, None)
(   17.23 sec) ARMA                     : DEBUG           -> Training...
(   17.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.24 sec) Clustered ROM            : DEBUG           -> Training segment 318 slice(7632, 7656, None)
(   17.24 sec) ARMA                     : DEBUG           -> Training...
(   17.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.26 sec) Clustered ROM            : DEBUG           -> Training segment 319 slice(7656, 7680, None)
(   17.26 sec) ARMA                     : DEBUG           -> Training...
(   17.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.26 sec) Clustered ROM            : DEBUG           -> Training segment 320 slice(7680, 7704, None)
(   17.26 sec) ARMA                     : DEBUG           -> Training...
(   17.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.30 sec) Clustered ROM            : DEBUG           -> Training segment 321 slice(7704, 7728, None)
(   17.30 sec) ARMA                     : DEBUG           -> Training...
(   17.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.31 sec) Clustered ROM            : DEBUG           -> Training segment 322 slice(7728, 7752, None)
(   17.31 sec) ARMA                     : DEBUG           -> Training...
(   17.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.33 sec) Clustered ROM            : DEBUG           -> Training segment 323 slice(7752, 7776, None)
(   17.33 sec) ARMA                     : DEBUG           -> Training...
(   17.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.35 sec) Clustered ROM            : DEBUG           -> Training segment 324 slice(7776, 7800, None)
(   17.35 sec) ARMA                     : DEBUG           -> Training...
(   17.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.36 sec) Clustered ROM            : DEBUG           -> Training segment 325 slice(7800, 7824, None)
(   17.36 sec) ARMA                     : DEBUG           -> Training...
(   17.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.37 sec) Clustered ROM            : DEBUG           -> Training segment 326 slice(7824, 7848, None)
(   17.37 sec) ARMA                     : DEBUG           -> Training...
(   17.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.38 sec) Clustered ROM            : DEBUG           -> Training segment 327 slice(7848, 7872, None)
(   17.38 sec) ARMA                     : DEBUG           -> Training...
(   17.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.39 sec) Clustered ROM            : DEBUG           -> Training segment 328 slice(7872, 7896, None)
(   17.39 sec) ARMA                     : DEBUG           -> Training...
(   17.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.40 sec) Clustered ROM            : DEBUG           -> Training segment 329 slice(7896, 7920, None)
(   17.40 sec) ARMA                     : DEBUG           -> Training...
(   17.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.41 sec) Clustered ROM            : DEBUG           -> Training segment 330 slice(7920, 7944, None)
(   17.41 sec) ARMA                     : DEBUG           -> Training...
(   17.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.42 sec) Clustered ROM            : DEBUG           -> Training segment 331 slice(7944, 7968, None)
(   17.42 sec) ARMA                     : DEBUG           -> Training...
(   17.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.43 sec) Clustered ROM            : DEBUG           -> Training segment 332 slice(7968, 7992, None)
(   17.43 sec) ARMA                     : DEBUG           -> Training...
(   17.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.44 sec) Clustered ROM            : DEBUG           -> Training segment 333 slice(7992, 8016, None)
(   17.44 sec) ARMA                     : DEBUG           -> Training...
(   17.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.45 sec) Clustered ROM            : DEBUG           -> Training segment 334 slice(8016, 8040, None)
(   17.45 sec) ARMA                     : DEBUG           -> Training...
(   17.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.46 sec) Clustered ROM            : DEBUG           -> Training segment 335 slice(8040, 8064, None)
(   17.46 sec) ARMA                     : DEBUG           -> Training...
(   17.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.50 sec) Clustered ROM            : DEBUG           -> Training segment 336 slice(8064, 8088, None)
(   17.50 sec) ARMA                     : DEBUG           -> Training...
(   17.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.51 sec) Clustered ROM            : DEBUG           -> Training segment 337 slice(8088, 8112, None)
(   17.51 sec) ARMA                     : DEBUG           -> Training...
(   17.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.52 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.53 sec) Clustered ROM            : DEBUG           -> Training segment 338 slice(8112, 8136, None)
(   17.53 sec) ARMA                     : DEBUG           -> Training...
(   17.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.53 sec) Clustered ROM            : DEBUG           -> Training segment 339 slice(8136, 8160, None)
(   17.53 sec) ARMA                     : DEBUG           -> Training...
(   17.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.54 sec) Clustered ROM            : DEBUG           -> Training segment 340 slice(8160, 8184, None)
(   17.54 sec) ARMA                     : DEBUG           -> Training...
(   17.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.56 sec) Clustered ROM            : DEBUG           -> Training segment 341 slice(8184, 8208, None)
(   17.56 sec) ARMA                     : DEBUG           -> Training...
(   17.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.57 sec) Clustered ROM            : DEBUG           -> Training segment 342 slice(8208, 8232, None)
(   17.57 sec) ARMA                     : DEBUG           -> Training...
(   17.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.58 sec) Clustered ROM            : DEBUG           -> Training segment 343 slice(8232, 8256, None)
(   17.58 sec) ARMA                     : DEBUG           -> Training...
(   17.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.59 sec) Clustered ROM            : DEBUG           -> Training segment 344 slice(8256, 8280, None)
(   17.59 sec) ARMA                     : DEBUG           -> Training...
(   17.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.60 sec) Clustered ROM            : DEBUG           -> Training segment 345 slice(8280, 8304, None)
(   17.60 sec) ARMA                     : DEBUG           -> Training...
(   17.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.62 sec) Clustered ROM            : DEBUG           -> Training segment 346 slice(8304, 8328, None)
(   17.62 sec) ARMA                     : DEBUG           -> Training...
(   17.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.63 sec) Clustered ROM            : DEBUG           -> Training segment 347 slice(8328, 8352, None)
(   17.63 sec) ARMA                     : DEBUG           -> Training...
(   17.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.66 sec) Clustered ROM            : DEBUG           -> Training segment 348 slice(8352, 8376, None)
(   17.66 sec) ARMA                     : DEBUG           -> Training...
(   17.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.67 sec) Clustered ROM            : DEBUG           -> Training segment 349 slice(8376, 8400, None)
(   17.67 sec) ARMA                     : DEBUG           -> Training...
(   17.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.67 sec) Clustered ROM            : DEBUG           -> Training segment 350 slice(8400, 8424, None)
(   17.67 sec) ARMA                     : DEBUG           -> Training...
(   17.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.69 sec) Clustered ROM            : DEBUG           -> Training segment 351 slice(8424, 8448, None)
(   17.69 sec) ARMA                     : DEBUG           -> Training...
(   17.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.70 sec) Clustered ROM            : DEBUG           -> Training segment 352 slice(8448, 8472, None)
(   17.70 sec) ARMA                     : DEBUG           -> Training...
(   17.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.71 sec) Clustered ROM            : DEBUG           -> Training segment 353 slice(8472, 8496, None)
(   17.71 sec) ARMA                     : DEBUG           -> Training...
(   17.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.72 sec) Clustered ROM            : DEBUG           -> Training segment 354 slice(8496, 8520, None)
(   17.72 sec) ARMA                     : DEBUG           -> Training...
(   17.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.73 sec) Clustered ROM            : DEBUG           -> Training segment 355 slice(8520, 8544, None)
(   17.73 sec) ARMA                     : DEBUG           -> Training...
(   17.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.74 sec) Clustered ROM            : DEBUG           -> Training segment 356 slice(8544, 8568, None)
(   17.74 sec) ARMA                     : DEBUG           -> Training...
(   17.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.75 sec) Clustered ROM            : DEBUG           -> Training segment 357 slice(8568, 8592, None)
(   17.75 sec) ARMA                     : DEBUG           -> Training...
(   17.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.76 sec) Clustered ROM            : DEBUG           -> Training segment 358 slice(8592, 8616, None)
(   17.76 sec) ARMA                     : DEBUG           -> Training...
(   17.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.77 sec) Clustered ROM            : DEBUG           -> Training segment 359 slice(8616, 8640, None)
(   17.77 sec) ARMA                     : DEBUG           -> Training...
(   17.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.78 sec) Clustered ROM            : DEBUG           -> Training segment 360 slice(8640, 8664, None)
(   17.78 sec) ARMA                     : DEBUG           -> Training...
(   17.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.80 sec) Clustered ROM            : DEBUG           -> Training segment 361 slice(8664, 8688, None)
(   17.80 sec) ARMA                     : DEBUG           -> Training...
(   17.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.81 sec) Clustered ROM            : DEBUG           -> Training segment 362 slice(8688, 8712, None)
(   17.81 sec) ARMA                     : DEBUG           -> Training...
(   17.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.82 sec) Clustered ROM            : DEBUG           -> Training segment 363 slice(8712, 8736, None)
(   17.82 sec) ARMA                     : DEBUG           -> Training...
(   17.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.83 sec) Clustered ROM            : DEBUG           -> Training segment 364 slice(8736, 8760, None)
(   17.83 sec) ARMA                     : DEBUG           -> Training...
(   17.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.88 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   17.88 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   17.93 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   17.94 sec) Interp. Cluster ROM      : DEBUG           -> Training Statepoint Year 3 ...
(   17.94 sec) Clustered ROM            : DEBUG           -> Training segmented subspaces for "arma" ...
(   17.94 sec) Clustered ROM            : DEBUG           -> Dividing         hour         into  365  divisions for training ...
DEBUGG no ZF here!
(   17.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.94 sec) Clustered ROM            : DEBUG           -> Training segment 0 slice(0, 24, None)
(   17.94 sec) ARMA                     : DEBUG           -> Training...
(   17.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   17.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   17.99 sec) Clustered ROM            : DEBUG           -> Training segment 1 slice(24, 48, None)
(   17.99 sec) ARMA                     : DEBUG           -> Training...
(   17.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   17.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   17.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   17.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   17.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.01 sec) Clustered ROM            : DEBUG           -> Training segment 2 slice(48, 72, None)
(   18.01 sec) ARMA                     : DEBUG           -> Training...
(   18.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.02 sec) Clustered ROM            : DEBUG           -> Training segment 3 slice(72, 96, None)
(   18.02 sec) ARMA                     : DEBUG           -> Training...
(   18.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.04 sec) Clustered ROM            : DEBUG           -> Training segment 4 slice(96, 120, None)
(   18.04 sec) ARMA                     : DEBUG           -> Training...
(   18.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.05 sec) Clustered ROM            : DEBUG           -> Training segment 5 slice(120, 144, None)
(   18.05 sec) ARMA                     : DEBUG           -> Training...
(   18.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.05 sec) Clustered ROM            : DEBUG           -> Training segment 6 slice(144, 168, None)
(   18.05 sec) ARMA                     : DEBUG           -> Training...
(   18.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.07 sec) Clustered ROM            : DEBUG           -> Training segment 7 slice(168, 192, None)
(   18.07 sec) ARMA                     : DEBUG           -> Training...
(   18.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.08 sec) Clustered ROM            : DEBUG           -> Training segment 8 slice(192, 216, None)
(   18.08 sec) ARMA                     : DEBUG           -> Training...
(   18.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.09 sec) Clustered ROM            : DEBUG           -> Training segment 9 slice(216, 240, None)
(   18.09 sec) ARMA                     : DEBUG           -> Training...
(   18.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.09 sec) Clustered ROM            : DEBUG           -> Training segment 10 slice(240, 264, None)
(   18.09 sec) ARMA                     : DEBUG           -> Training...
(   18.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.10 sec) Clustered ROM            : DEBUG           -> Training segment 11 slice(264, 288, None)
(   18.10 sec) ARMA                     : DEBUG           -> Training...
(   18.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.12 sec) Clustered ROM            : DEBUG           -> Training segment 12 slice(288, 312, None)
(   18.12 sec) ARMA                     : DEBUG           -> Training...
(   18.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.13 sec) Clustered ROM            : DEBUG           -> Training segment 13 slice(312, 336, None)
(   18.13 sec) ARMA                     : DEBUG           -> Training...
(   18.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.14 sec) Clustered ROM            : DEBUG           -> Training segment 14 slice(336, 360, None)
(   18.14 sec) ARMA                     : DEBUG           -> Training...
(   18.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.14 sec) Clustered ROM            : DEBUG           -> Training segment 15 slice(360, 384, None)
(   18.14 sec) ARMA                     : DEBUG           -> Training...
(   18.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.15 sec) Clustered ROM            : DEBUG           -> Training segment 16 slice(384, 408, None)
(   18.15 sec) ARMA                     : DEBUG           -> Training...
(   18.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.17 sec) Clustered ROM            : DEBUG           -> Training segment 17 slice(408, 432, None)
(   18.17 sec) ARMA                     : DEBUG           -> Training...
(   18.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.19 sec) Clustered ROM            : DEBUG           -> Training segment 18 slice(432, 456, None)
(   18.19 sec) ARMA                     : DEBUG           -> Training...
(   18.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.21 sec) Clustered ROM            : DEBUG           -> Training segment 19 slice(456, 480, None)
(   18.21 sec) ARMA                     : DEBUG           -> Training...
(   18.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.22 sec) Clustered ROM            : DEBUG           -> Training segment 20 slice(480, 504, None)
(   18.22 sec) ARMA                     : DEBUG           -> Training...
(   18.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.23 sec) Clustered ROM            : DEBUG           -> Training segment 21 slice(504, 528, None)
(   18.23 sec) ARMA                     : DEBUG           -> Training...
(   18.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.24 sec) Clustered ROM            : DEBUG           -> Training segment 22 slice(528, 552, None)
(   18.24 sec) ARMA                     : DEBUG           -> Training...
(   18.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.25 sec) Clustered ROM            : DEBUG           -> Training segment 23 slice(552, 576, None)
(   18.25 sec) ARMA                     : DEBUG           -> Training...
(   18.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.26 sec) Clustered ROM            : DEBUG           -> Training segment 24 slice(576, 600, None)
(   18.26 sec) ARMA                     : DEBUG           -> Training...
(   18.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.27 sec) Clustered ROM            : DEBUG           -> Training segment 25 slice(600, 624, None)
(   18.27 sec) ARMA                     : DEBUG           -> Training...
(   18.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.28 sec) Clustered ROM            : DEBUG           -> Training segment 26 slice(624, 648, None)
(   18.28 sec) ARMA                     : DEBUG           -> Training...
(   18.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.29 sec) Clustered ROM            : DEBUG           -> Training segment 27 slice(648, 672, None)
(   18.29 sec) ARMA                     : DEBUG           -> Training...
(   18.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.30 sec) Clustered ROM            : DEBUG           -> Training segment 28 slice(672, 696, None)
(   18.30 sec) ARMA                     : DEBUG           -> Training...
(   18.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.34 sec) Clustered ROM            : DEBUG           -> Training segment 29 slice(696, 720, None)
(   18.34 sec) ARMA                     : DEBUG           -> Training...
(   18.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.37 sec) Clustered ROM            : DEBUG           -> Training segment 30 slice(720, 744, None)
(   18.37 sec) ARMA                     : DEBUG           -> Training...
(   18.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.41 sec) Clustered ROM            : DEBUG           -> Training segment 31 slice(744, 768, None)
(   18.41 sec) ARMA                     : DEBUG           -> Training...
(   18.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.42 sec) Clustered ROM            : DEBUG           -> Training segment 32 slice(768, 792, None)
(   18.42 sec) ARMA                     : DEBUG           -> Training...
(   18.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.45 sec) Clustered ROM            : DEBUG           -> Training segment 33 slice(792, 816, None)
(   18.45 sec) ARMA                     : DEBUG           -> Training...
(   18.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.46 sec) Clustered ROM            : DEBUG           -> Training segment 34 slice(816, 840, None)
(   18.46 sec) ARMA                     : DEBUG           -> Training...
(   18.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.47 sec) Clustered ROM            : DEBUG           -> Training segment 35 slice(840, 864, None)
(   18.47 sec) ARMA                     : DEBUG           -> Training...
(   18.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.49 sec) Clustered ROM            : DEBUG           -> Training segment 36 slice(864, 888, None)
(   18.49 sec) ARMA                     : DEBUG           -> Training...
(   18.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.50 sec) Clustered ROM            : DEBUG           -> Training segment 37 slice(888, 912, None)
(   18.50 sec) ARMA                     : DEBUG           -> Training...
(   18.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.51 sec) Clustered ROM            : DEBUG           -> Training segment 38 slice(912, 936, None)
(   18.51 sec) ARMA                     : DEBUG           -> Training...
(   18.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.54 sec) Clustered ROM            : DEBUG           -> Training segment 39 slice(936, 960, None)
(   18.54 sec) ARMA                     : DEBUG           -> Training...
(   18.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.58 sec) Clustered ROM            : DEBUG           -> Training segment 40 slice(960, 984, None)
(   18.58 sec) ARMA                     : DEBUG           -> Training...
(   18.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.60 sec) Clustered ROM            : DEBUG           -> Training segment 41 slice(984, 1008, None)
(   18.60 sec) ARMA                     : DEBUG           -> Training...
(   18.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.61 sec) Clustered ROM            : DEBUG           -> Training segment 42 slice(1008, 1032, None)
(   18.61 sec) ARMA                     : DEBUG           -> Training...
(   18.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.63 sec) Clustered ROM            : DEBUG           -> Training segment 43 slice(1032, 1056, None)
(   18.63 sec) ARMA                     : DEBUG           -> Training...
(   18.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.65 sec) Clustered ROM            : DEBUG           -> Training segment 44 slice(1056, 1080, None)
(   18.65 sec) ARMA                     : DEBUG           -> Training...
(   18.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.67 sec) Clustered ROM            : DEBUG           -> Training segment 45 slice(1080, 1104, None)
(   18.67 sec) ARMA                     : DEBUG           -> Training...
(   18.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.68 sec) Clustered ROM            : DEBUG           -> Training segment 46 slice(1104, 1128, None)
(   18.68 sec) ARMA                     : DEBUG           -> Training...
(   18.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.69 sec) Clustered ROM            : DEBUG           -> Training segment 47 slice(1128, 1152, None)
(   18.69 sec) ARMA                     : DEBUG           -> Training...
(   18.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.70 sec) Clustered ROM            : DEBUG           -> Training segment 48 slice(1152, 1176, None)
(   18.70 sec) ARMA                     : DEBUG           -> Training...
(   18.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.72 sec) Clustered ROM            : DEBUG           -> Training segment 49 slice(1176, 1200, None)
(   18.72 sec) ARMA                     : DEBUG           -> Training...
(   18.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.73 sec) Clustered ROM            : DEBUG           -> Training segment 50 slice(1200, 1224, None)
(   18.73 sec) ARMA                     : DEBUG           -> Training...
(   18.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.73 sec) Clustered ROM            : DEBUG           -> Training segment 51 slice(1224, 1248, None)
(   18.73 sec) ARMA                     : DEBUG           -> Training...
(   18.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.75 sec) Clustered ROM            : DEBUG           -> Training segment 52 slice(1248, 1272, None)
(   18.75 sec) ARMA                     : DEBUG           -> Training...
(   18.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.77 sec) Clustered ROM            : DEBUG           -> Training segment 53 slice(1272, 1296, None)
(   18.77 sec) ARMA                     : DEBUG           -> Training...
(   18.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.78 sec) Clustered ROM            : DEBUG           -> Training segment 54 slice(1296, 1320, None)
(   18.78 sec) ARMA                     : DEBUG           -> Training...
(   18.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.80 sec) Clustered ROM            : DEBUG           -> Training segment 55 slice(1320, 1344, None)
(   18.80 sec) ARMA                     : DEBUG           -> Training...
(   18.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.81 sec) Clustered ROM            : DEBUG           -> Training segment 56 slice(1344, 1368, None)
(   18.81 sec) ARMA                     : DEBUG           -> Training...
(   18.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.82 sec) Clustered ROM            : DEBUG           -> Training segment 57 slice(1368, 1392, None)
(   18.82 sec) ARMA                     : DEBUG           -> Training...
(   18.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.83 sec) Clustered ROM            : DEBUG           -> Training segment 58 slice(1392, 1416, None)
(   18.83 sec) ARMA                     : DEBUG           -> Training...
(   18.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.84 sec) Clustered ROM            : DEBUG           -> Training segment 59 slice(1416, 1440, None)
(   18.84 sec) ARMA                     : DEBUG           -> Training...
(   18.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.86 sec) Clustered ROM            : DEBUG           -> Training segment 60 slice(1440, 1464, None)
(   18.86 sec) ARMA                     : DEBUG           -> Training...
(   18.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.88 sec) Clustered ROM            : DEBUG           -> Training segment 61 slice(1464, 1488, None)
(   18.88 sec) ARMA                     : DEBUG           -> Training...
(   18.88 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.88 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.88 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.88 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.88 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.92 sec) Clustered ROM            : DEBUG           -> Training segment 62 slice(1488, 1512, None)
(   18.92 sec) ARMA                     : DEBUG           -> Training...
(   18.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.92 sec) Clustered ROM            : DEBUG           -> Training segment 63 slice(1512, 1536, None)
(   18.92 sec) ARMA                     : DEBUG           -> Training...
(   18.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.93 sec) Clustered ROM            : DEBUG           -> Training segment 64 slice(1536, 1560, None)
(   18.93 sec) ARMA                     : DEBUG           -> Training...
(   18.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.95 sec) Clustered ROM            : DEBUG           -> Training segment 65 slice(1560, 1584, None)
(   18.95 sec) ARMA                     : DEBUG           -> Training...
(   18.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.98 sec) Clustered ROM            : DEBUG           -> Training segment 66 slice(1584, 1608, None)
(   18.98 sec) ARMA                     : DEBUG           -> Training...
(   18.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   18.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   18.99 sec) Clustered ROM            : DEBUG           -> Training segment 67 slice(1608, 1632, None)
(   18.99 sec) ARMA                     : DEBUG           -> Training...
(   18.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   18.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   18.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   18.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   18.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.00 sec) Clustered ROM            : DEBUG           -> Training segment 68 slice(1632, 1656, None)
(   19.00 sec) ARMA                     : DEBUG           -> Training...
(   19.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.01 sec) Clustered ROM            : DEBUG           -> Training segment 69 slice(1656, 1680, None)
(   19.01 sec) ARMA                     : DEBUG           -> Training...
(   19.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.03 sec) Clustered ROM            : DEBUG           -> Training segment 70 slice(1680, 1704, None)
(   19.03 sec) ARMA                     : DEBUG           -> Training...
(   19.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.03 sec) Clustered ROM            : DEBUG           -> Training segment 71 slice(1704, 1728, None)
(   19.03 sec) ARMA                     : DEBUG           -> Training...
(   19.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.05 sec) Clustered ROM            : DEBUG           -> Training segment 72 slice(1728, 1752, None)
(   19.05 sec) ARMA                     : DEBUG           -> Training...
(   19.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.07 sec) Clustered ROM            : DEBUG           -> Training segment 73 slice(1752, 1776, None)
(   19.07 sec) ARMA                     : DEBUG           -> Training...
(   19.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.08 sec) Clustered ROM            : DEBUG           -> Training segment 74 slice(1776, 1800, None)
(   19.08 sec) ARMA                     : DEBUG           -> Training...
(   19.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.08 sec) Clustered ROM            : DEBUG           -> Training segment 75 slice(1800, 1824, None)
(   19.09 sec) ARMA                     : DEBUG           -> Training...
(   19.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.10 sec) Clustered ROM            : DEBUG           -> Training segment 76 slice(1824, 1848, None)
(   19.10 sec) ARMA                     : DEBUG           -> Training...
(   19.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.14 sec) Clustered ROM            : DEBUG           -> Training segment 77 slice(1848, 1872, None)
(   19.14 sec) ARMA                     : DEBUG           -> Training...
(   19.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.15 sec) Clustered ROM            : DEBUG           -> Training segment 78 slice(1872, 1896, None)
(   19.15 sec) ARMA                     : DEBUG           -> Training...
(   19.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.17 sec) Clustered ROM            : DEBUG           -> Training segment 79 slice(1896, 1920, None)
(   19.17 sec) ARMA                     : DEBUG           -> Training...
(   19.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.18 sec) Clustered ROM            : DEBUG           -> Training segment 80 slice(1920, 1944, None)
(   19.18 sec) ARMA                     : DEBUG           -> Training...
(   19.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.18 sec) Clustered ROM            : DEBUG           -> Training segment 81 slice(1944, 1968, None)
(   19.18 sec) ARMA                     : DEBUG           -> Training...
(   19.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.20 sec) Clustered ROM            : DEBUG           -> Training segment 82 slice(1968, 1992, None)
(   19.20 sec) ARMA                     : DEBUG           -> Training...
(   19.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.21 sec) Clustered ROM            : DEBUG           -> Training segment 83 slice(1992, 2016, None)
(   19.21 sec) ARMA                     : DEBUG           -> Training...
(   19.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.22 sec) Clustered ROM            : DEBUG           -> Training segment 84 slice(2016, 2040, None)
(   19.22 sec) ARMA                     : DEBUG           -> Training...
(   19.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.23 sec) Clustered ROM            : DEBUG           -> Training segment 85 slice(2040, 2064, None)
(   19.23 sec) ARMA                     : DEBUG           -> Training...
(   19.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.24 sec) Clustered ROM            : DEBUG           -> Training segment 86 slice(2064, 2088, None)
(   19.24 sec) ARMA                     : DEBUG           -> Training...
(   19.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.28 sec) Clustered ROM            : DEBUG           -> Training segment 87 slice(2088, 2112, None)
(   19.28 sec) ARMA                     : DEBUG           -> Training...
(   19.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.31 sec) Clustered ROM            : DEBUG           -> Training segment 88 slice(2112, 2136, None)
(   19.31 sec) ARMA                     : DEBUG           -> Training...
(   19.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.32 sec) Clustered ROM            : DEBUG           -> Training segment 89 slice(2136, 2160, None)
(   19.32 sec) ARMA                     : DEBUG           -> Training...
(   19.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.34 sec) Clustered ROM            : DEBUG           -> Training segment 90 slice(2160, 2184, None)
(   19.34 sec) ARMA                     : DEBUG           -> Training...
(   19.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.35 sec) Clustered ROM            : DEBUG           -> Training segment 91 slice(2184, 2208, None)
(   19.35 sec) ARMA                     : DEBUG           -> Training...
(   19.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.36 sec) Clustered ROM            : DEBUG           -> Training segment 92 slice(2208, 2232, None)
(   19.36 sec) ARMA                     : DEBUG           -> Training...
(   19.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.37 sec) Clustered ROM            : DEBUG           -> Training segment 93 slice(2232, 2256, None)
(   19.37 sec) ARMA                     : DEBUG           -> Training...
(   19.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.37 sec) Clustered ROM            : DEBUG           -> Training segment 94 slice(2256, 2280, None)
(   19.37 sec) ARMA                     : DEBUG           -> Training...
(   19.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.39 sec) Clustered ROM            : DEBUG           -> Training segment 95 slice(2280, 2304, None)
(   19.39 sec) ARMA                     : DEBUG           -> Training...
(   19.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.40 sec) Clustered ROM            : DEBUG           -> Training segment 96 slice(2304, 2328, None)
(   19.40 sec) ARMA                     : DEBUG           -> Training...
(   19.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.41 sec) Clustered ROM            : DEBUG           -> Training segment 97 slice(2328, 2352, None)
(   19.41 sec) ARMA                     : DEBUG           -> Training...
(   19.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.42 sec) Clustered ROM            : DEBUG           -> Training segment 98 slice(2352, 2376, None)
(   19.42 sec) ARMA                     : DEBUG           -> Training...
(   19.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.43 sec) Clustered ROM            : DEBUG           -> Training segment 99 slice(2376, 2400, None)
(   19.43 sec) ARMA                     : DEBUG           -> Training...
(   19.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.44 sec) Clustered ROM            : DEBUG           -> Training segment 100 slice(2400, 2424, None)
(   19.44 sec) ARMA                     : DEBUG           -> Training...
(   19.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.47 sec) Clustered ROM            : DEBUG           -> Training segment 101 slice(2424, 2448, None)
(   19.47 sec) ARMA                     : DEBUG           -> Training...
(   19.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.49 sec) Clustered ROM            : DEBUG           -> Training segment 102 slice(2448, 2472, None)
(   19.49 sec) ARMA                     : DEBUG           -> Training...
(   19.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.50 sec) Clustered ROM            : DEBUG           -> Training segment 103 slice(2472, 2496, None)
(   19.50 sec) ARMA                     : DEBUG           -> Training...
(   19.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.51 sec) Clustered ROM            : DEBUG           -> Training segment 104 slice(2496, 2520, None)
(   19.51 sec) ARMA                     : DEBUG           -> Training...
(   19.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.52 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.52 sec) Clustered ROM            : DEBUG           -> Training segment 105 slice(2520, 2544, None)
(   19.52 sec) ARMA                     : DEBUG           -> Training...
(   19.52 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.52 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.55 sec) Clustered ROM            : DEBUG           -> Training segment 106 slice(2544, 2568, None)
(   19.55 sec) ARMA                     : DEBUG           -> Training...
(   19.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.56 sec) Clustered ROM            : DEBUG           -> Training segment 107 slice(2568, 2592, None)
(   19.56 sec) ARMA                     : DEBUG           -> Training...
(   19.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.58 sec) Clustered ROM            : DEBUG           -> Training segment 108 slice(2592, 2616, None)
(   19.58 sec) ARMA                     : DEBUG           -> Training...
(   19.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.59 sec) Clustered ROM            : DEBUG           -> Training segment 109 slice(2616, 2640, None)
(   19.59 sec) ARMA                     : DEBUG           -> Training...
(   19.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.59 sec) Clustered ROM            : DEBUG           -> Training segment 110 slice(2640, 2664, None)
(   19.59 sec) ARMA                     : DEBUG           -> Training...
(   19.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.61 sec) Clustered ROM            : DEBUG           -> Training segment 111 slice(2664, 2688, None)
(   19.61 sec) ARMA                     : DEBUG           -> Training...
(   19.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.63 sec) Clustered ROM            : DEBUG           -> Training segment 112 slice(2688, 2712, None)
(   19.63 sec) ARMA                     : DEBUG           -> Training...
(   19.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.64 sec) Clustered ROM            : DEBUG           -> Training segment 113 slice(2712, 2736, None)
(   19.64 sec) ARMA                     : DEBUG           -> Training...
(   19.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.65 sec) Clustered ROM            : DEBUG           -> Training segment 114 slice(2736, 2760, None)
(   19.65 sec) ARMA                     : DEBUG           -> Training...
(   19.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.66 sec) Clustered ROM            : DEBUG           -> Training segment 115 slice(2760, 2784, None)
(   19.66 sec) ARMA                     : DEBUG           -> Training...
(   19.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.70 sec) Clustered ROM            : DEBUG           -> Training segment 116 slice(2784, 2808, None)
(   19.70 sec) ARMA                     : DEBUG           -> Training...
(   19.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.70 sec) Clustered ROM            : DEBUG           -> Training segment 117 slice(2808, 2832, None)
(   19.70 sec) ARMA                     : DEBUG           -> Training...
(   19.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.74 sec) Clustered ROM            : DEBUG           -> Training segment 118 slice(2832, 2856, None)
(   19.74 sec) ARMA                     : DEBUG           -> Training...
(   19.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.76 sec) Clustered ROM            : DEBUG           -> Training segment 119 slice(2856, 2880, None)
(   19.76 sec) ARMA                     : DEBUG           -> Training...
(   19.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.77 sec) Clustered ROM            : DEBUG           -> Training segment 120 slice(2880, 2904, None)
(   19.77 sec) ARMA                     : DEBUG           -> Training...
(   19.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.78 sec) Clustered ROM            : DEBUG           -> Training segment 121 slice(2904, 2928, None)
(   19.78 sec) ARMA                     : DEBUG           -> Training...
(   19.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.79 sec) Clustered ROM            : DEBUG           -> Training segment 122 slice(2928, 2952, None)
(   19.79 sec) ARMA                     : DEBUG           -> Training...
(   19.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.80 sec) Clustered ROM            : DEBUG           -> Training segment 123 slice(2952, 2976, None)
(   19.80 sec) ARMA                     : DEBUG           -> Training...
(   19.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.82 sec) Clustered ROM            : DEBUG           -> Training segment 124 slice(2976, 3000, None)
(   19.82 sec) ARMA                     : DEBUG           -> Training...
(   19.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.82 sec) Clustered ROM            : DEBUG           -> Training segment 125 slice(3000, 3024, None)
(   19.82 sec) ARMA                     : DEBUG           -> Training...
(   19.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.84 sec) Clustered ROM            : DEBUG           -> Training segment 126 slice(3024, 3048, None)
(   19.84 sec) ARMA                     : DEBUG           -> Training...
(   19.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.85 sec) Clustered ROM            : DEBUG           -> Training segment 127 slice(3048, 3072, None)
(   19.85 sec) ARMA                     : DEBUG           -> Training...
(   19.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.86 sec) Clustered ROM            : DEBUG           -> Training segment 128 slice(3072, 3096, None)
(   19.86 sec) ARMA                     : DEBUG           -> Training...
(   19.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.87 sec) Clustered ROM            : DEBUG           -> Training segment 129 slice(3096, 3120, None)
(   19.87 sec) ARMA                     : DEBUG           -> Training...
(   19.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.90 sec) Clustered ROM            : DEBUG           -> Training segment 130 slice(3120, 3144, None)
(   19.90 sec) ARMA                     : DEBUG           -> Training...
(   19.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.91 sec) Clustered ROM            : DEBUG           -> Training segment 131 slice(3144, 3168, None)
(   19.91 sec) ARMA                     : DEBUG           -> Training...
(   19.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.92 sec) Clustered ROM            : DEBUG           -> Training segment 132 slice(3168, 3192, None)
(   19.92 sec) ARMA                     : DEBUG           -> Training...
(   19.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.93 sec) Clustered ROM            : DEBUG           -> Training segment 133 slice(3192, 3216, None)
(   19.93 sec) ARMA                     : DEBUG           -> Training...
(   19.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.94 sec) Clustered ROM            : DEBUG           -> Training segment 134 slice(3216, 3240, None)
(   19.94 sec) ARMA                     : DEBUG           -> Training...
(   19.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.95 sec) Clustered ROM            : DEBUG           -> Training segment 135 slice(3240, 3264, None)
(   19.95 sec) ARMA                     : DEBUG           -> Training...
(   19.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.98 sec) Clustered ROM            : DEBUG           -> Training segment 136 slice(3264, 3288, None)
(   19.98 sec) ARMA                     : DEBUG           -> Training...
(   19.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   19.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   19.99 sec) Clustered ROM            : DEBUG           -> Training segment 137 slice(3288, 3312, None)
(   19.99 sec) ARMA                     : DEBUG           -> Training...
(   19.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   19.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   19.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   19.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   19.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.00 sec) Clustered ROM            : DEBUG           -> Training segment 138 slice(3312, 3336, None)
(   20.00 sec) ARMA                     : DEBUG           -> Training...
(   20.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.01 sec) Clustered ROM            : DEBUG           -> Training segment 139 slice(3336, 3360, None)
(   20.01 sec) ARMA                     : DEBUG           -> Training...
(   20.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.03 sec) Clustered ROM            : DEBUG           -> Training segment 140 slice(3360, 3384, None)
(   20.03 sec) ARMA                     : DEBUG           -> Training...
(   20.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.06 sec) Clustered ROM            : DEBUG           -> Training segment 141 slice(3384, 3408, None)
(   20.06 sec) ARMA                     : DEBUG           -> Training...
(   20.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.07 sec) Clustered ROM            : DEBUG           -> Training segment 142 slice(3408, 3432, None)
(   20.07 sec) ARMA                     : DEBUG           -> Training...
(   20.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.08 sec) Clustered ROM            : DEBUG           -> Training segment 143 slice(3432, 3456, None)
(   20.08 sec) ARMA                     : DEBUG           -> Training...
(   20.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.11 sec) Clustered ROM            : DEBUG           -> Training segment 144 slice(3456, 3480, None)
(   20.11 sec) ARMA                     : DEBUG           -> Training...
(   20.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.14 sec) Clustered ROM            : DEBUG           -> Training segment 145 slice(3480, 3504, None)
(   20.14 sec) ARMA                     : DEBUG           -> Training...
(   20.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.15 sec) Clustered ROM            : DEBUG           -> Training segment 146 slice(3504, 3528, None)
(   20.15 sec) ARMA                     : DEBUG           -> Training...
(   20.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.16 sec) Clustered ROM            : DEBUG           -> Training segment 147 slice(3528, 3552, None)
(   20.16 sec) ARMA                     : DEBUG           -> Training...
(   20.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.16 sec) Clustered ROM            : DEBUG           -> Training segment 148 slice(3552, 3576, None)
(   20.16 sec) ARMA                     : DEBUG           -> Training...
(   20.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.20 sec) Clustered ROM            : DEBUG           -> Training segment 149 slice(3576, 3600, None)
(   20.20 sec) ARMA                     : DEBUG           -> Training...
(   20.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.21 sec) Clustered ROM            : DEBUG           -> Training segment 150 slice(3600, 3624, None)
(   20.21 sec) ARMA                     : DEBUG           -> Training...
(   20.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.23 sec) Clustered ROM            : DEBUG           -> Training segment 151 slice(3624, 3648, None)
(   20.23 sec) ARMA                     : DEBUG           -> Training...
(   20.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.24 sec) Clustered ROM            : DEBUG           -> Training segment 152 slice(3648, 3672, None)
(   20.24 sec) ARMA                     : DEBUG           -> Training...
(   20.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.25 sec) Clustered ROM            : DEBUG           -> Training segment 153 slice(3672, 3696, None)
(   20.25 sec) ARMA                     : DEBUG           -> Training...
(   20.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.26 sec) Clustered ROM            : DEBUG           -> Training segment 154 slice(3696, 3720, None)
(   20.26 sec) ARMA                     : DEBUG           -> Training...
(   20.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.27 sec) Clustered ROM            : DEBUG           -> Training segment 155 slice(3720, 3744, None)
(   20.27 sec) ARMA                     : DEBUG           -> Training...
(   20.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.28 sec) Clustered ROM            : DEBUG           -> Training segment 156 slice(3744, 3768, None)
(   20.28 sec) ARMA                     : DEBUG           -> Training...
(   20.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.30 sec) Clustered ROM            : DEBUG           -> Training segment 157 slice(3768, 3792, None)
(   20.30 sec) ARMA                     : DEBUG           -> Training...
(   20.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.30 sec) Clustered ROM            : DEBUG           -> Training segment 158 slice(3792, 3816, None)
(   20.30 sec) ARMA                     : DEBUG           -> Training...
(   20.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.31 sec) Clustered ROM            : DEBUG           -> Training segment 159 slice(3816, 3840, None)
(   20.31 sec) ARMA                     : DEBUG           -> Training...
(   20.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.33 sec) Clustered ROM            : DEBUG           -> Training segment 160 slice(3840, 3864, None)
(   20.33 sec) ARMA                     : DEBUG           -> Training...
(   20.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.34 sec) Clustered ROM            : DEBUG           -> Training segment 161 slice(3864, 3888, None)
(   20.34 sec) ARMA                     : DEBUG           -> Training...
(   20.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.35 sec) Clustered ROM            : DEBUG           -> Training segment 162 slice(3888, 3912, None)
(   20.35 sec) ARMA                     : DEBUG           -> Training...
(   20.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.36 sec) Clustered ROM            : DEBUG           -> Training segment 163 slice(3912, 3936, None)
(   20.36 sec) ARMA                     : DEBUG           -> Training...
(   20.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.37 sec) Clustered ROM            : DEBUG           -> Training segment 164 slice(3936, 3960, None)
(   20.37 sec) ARMA                     : DEBUG           -> Training...
(   20.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.38 sec) Clustered ROM            : DEBUG           -> Training segment 165 slice(3960, 3984, None)
(   20.38 sec) ARMA                     : DEBUG           -> Training...
(   20.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.40 sec) Clustered ROM            : DEBUG           -> Training segment 166 slice(3984, 4008, None)
(   20.40 sec) ARMA                     : DEBUG           -> Training...
(   20.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.40 sec) Clustered ROM            : DEBUG           -> Training segment 167 slice(4008, 4032, None)
(   20.40 sec) ARMA                     : DEBUG           -> Training...
(   20.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.44 sec) Clustered ROM            : DEBUG           -> Training segment 168 slice(4032, 4056, None)
(   20.44 sec) ARMA                     : DEBUG           -> Training...
(   20.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.45 sec) Clustered ROM            : DEBUG           -> Training segment 169 slice(4056, 4080, None)
(   20.45 sec) ARMA                     : DEBUG           -> Training...
(   20.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.49 sec) Clustered ROM            : DEBUG           -> Training segment 170 slice(4080, 4104, None)
(   20.49 sec) ARMA                     : DEBUG           -> Training...
(   20.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.49 sec) Clustered ROM            : DEBUG           -> Training segment 171 slice(4104, 4128, None)
(   20.49 sec) ARMA                     : DEBUG           -> Training...
(   20.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.53 sec) Clustered ROM            : DEBUG           -> Training segment 172 slice(4128, 4152, None)
(   20.53 sec) ARMA                     : DEBUG           -> Training...
(   20.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.54 sec) Clustered ROM            : DEBUG           -> Training segment 173 slice(4152, 4176, None)
(   20.54 sec) ARMA                     : DEBUG           -> Training...
(   20.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.55 sec) Clustered ROM            : DEBUG           -> Training segment 174 slice(4176, 4200, None)
(   20.55 sec) ARMA                     : DEBUG           -> Training...
(   20.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.57 sec) Clustered ROM            : DEBUG           -> Training segment 175 slice(4200, 4224, None)
(   20.57 sec) ARMA                     : DEBUG           -> Training...
(   20.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.58 sec) Clustered ROM            : DEBUG           -> Training segment 176 slice(4224, 4248, None)
(   20.58 sec) ARMA                     : DEBUG           -> Training...
(   20.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.59 sec) Clustered ROM            : DEBUG           -> Training segment 177 slice(4248, 4272, None)
(   20.59 sec) ARMA                     : DEBUG           -> Training...
(   20.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.60 sec) Clustered ROM            : DEBUG           -> Training segment 178 slice(4272, 4296, None)
(   20.60 sec) ARMA                     : DEBUG           -> Training...
(   20.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.62 sec) Clustered ROM            : DEBUG           -> Training segment 179 slice(4296, 4320, None)
(   20.62 sec) ARMA                     : DEBUG           -> Training...
(   20.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.62 sec) Clustered ROM            : DEBUG           -> Training segment 180 slice(4320, 4344, None)
(   20.62 sec) ARMA                     : DEBUG           -> Training...
(   20.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.63 sec) Clustered ROM            : DEBUG           -> Training segment 181 slice(4344, 4368, None)
(   20.63 sec) ARMA                     : DEBUG           -> Training...
(   20.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.65 sec) Clustered ROM            : DEBUG           -> Training segment 182 slice(4368, 4392, None)
(   20.65 sec) ARMA                     : DEBUG           -> Training...
(   20.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.67 sec) Clustered ROM            : DEBUG           -> Training segment 183 slice(4392, 4416, None)
(   20.67 sec) ARMA                     : DEBUG           -> Training...
(   20.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.67 sec) Clustered ROM            : DEBUG           -> Training segment 184 slice(4416, 4440, None)
(   20.67 sec) ARMA                     : DEBUG           -> Training...
(   20.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.68 sec) Clustered ROM            : DEBUG           -> Training segment 185 slice(4440, 4464, None)
(   20.68 sec) ARMA                     : DEBUG           -> Training...
(   20.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.70 sec) Clustered ROM            : DEBUG           -> Training segment 186 slice(4464, 4488, None)
(   20.70 sec) ARMA                     : DEBUG           -> Training...
(   20.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.71 sec) Clustered ROM            : DEBUG           -> Training segment 187 slice(4488, 4512, None)
(   20.71 sec) ARMA                     : DEBUG           -> Training...
(   20.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.76 sec) Clustered ROM            : DEBUG           -> Training segment 188 slice(4512, 4536, None)
(   20.76 sec) ARMA                     : DEBUG           -> Training...
(   20.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.79 sec) Clustered ROM            : DEBUG           -> Training segment 189 slice(4536, 4560, None)
(   20.79 sec) ARMA                     : DEBUG           -> Training...
(   20.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.82 sec) Clustered ROM            : DEBUG           -> Training segment 190 slice(4560, 4584, None)
(   20.82 sec) ARMA                     : DEBUG           -> Training...
(   20.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.83 sec) Clustered ROM            : DEBUG           -> Training segment 191 slice(4584, 4608, None)
(   20.83 sec) ARMA                     : DEBUG           -> Training...
(   20.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.86 sec) Clustered ROM            : DEBUG           -> Training segment 192 slice(4608, 4632, None)
(   20.86 sec) ARMA                     : DEBUG           -> Training...
(   20.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.88 sec) Clustered ROM            : DEBUG           -> Training segment 193 slice(4632, 4656, None)
(   20.88 sec) ARMA                     : DEBUG           -> Training...
(   20.88 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.88 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.88 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.88 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.88 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.89 sec) Clustered ROM            : DEBUG           -> Training segment 194 slice(4656, 4680, None)
(   20.89 sec) ARMA                     : DEBUG           -> Training...
(   20.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.90 sec) Clustered ROM            : DEBUG           -> Training segment 195 slice(4680, 4704, None)
(   20.90 sec) ARMA                     : DEBUG           -> Training...
(   20.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.90 sec) Clustered ROM            : DEBUG           -> Training segment 196 slice(4704, 4728, None)
(   20.90 sec) ARMA                     : DEBUG           -> Training...
(   20.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.92 sec) Clustered ROM            : DEBUG           -> Training segment 197 slice(4728, 4752, None)
(   20.92 sec) ARMA                     : DEBUG           -> Training...
(   20.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.93 sec) Clustered ROM            : DEBUG           -> Training segment 198 slice(4752, 4776, None)
(   20.93 sec) ARMA                     : DEBUG           -> Training...
(   20.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.96 sec) Clustered ROM            : DEBUG           -> Training segment 199 slice(4776, 4800, None)
(   20.96 sec) ARMA                     : DEBUG           -> Training...
(   20.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.97 sec) Clustered ROM            : DEBUG           -> Training segment 200 slice(4800, 4824, None)
(   20.97 sec) ARMA                     : DEBUG           -> Training...
(   20.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   20.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   20.99 sec) Clustered ROM            : DEBUG           -> Training segment 201 slice(4824, 4848, None)
(   20.99 sec) ARMA                     : DEBUG           -> Training...
(   20.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   20.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   20.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   20.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   20.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.00 sec) Clustered ROM            : DEBUG           -> Training segment 202 slice(4848, 4872, None)
(   21.00 sec) ARMA                     : DEBUG           -> Training...
(   21.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.02 sec) Clustered ROM            : DEBUG           -> Training segment 203 slice(4872, 4896, None)
(   21.02 sec) ARMA                     : DEBUG           -> Training...
(   21.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.05 sec) Clustered ROM            : DEBUG           -> Training segment 204 slice(4896, 4920, None)
(   21.05 sec) ARMA                     : DEBUG           -> Training...
(   21.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.07 sec) Clustered ROM            : DEBUG           -> Training segment 205 slice(4920, 4944, None)
(   21.07 sec) ARMA                     : DEBUG           -> Training...
(   21.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.08 sec) Clustered ROM            : DEBUG           -> Training segment 206 slice(4944, 4968, None)
(   21.08 sec) ARMA                     : DEBUG           -> Training...
(   21.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.10 sec) Clustered ROM            : DEBUG           -> Training segment 207 slice(4968, 4992, None)
(   21.10 sec) ARMA                     : DEBUG           -> Training...
(   21.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.13 sec) Clustered ROM            : DEBUG           -> Training segment 208 slice(4992, 5016, None)
(   21.13 sec) ARMA                     : DEBUG           -> Training...
(   21.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.14 sec) Clustered ROM            : DEBUG           -> Training segment 209 slice(5016, 5040, None)
(   21.14 sec) ARMA                     : DEBUG           -> Training...
(   21.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.16 sec) Clustered ROM            : DEBUG           -> Training segment 210 slice(5040, 5064, None)
(   21.16 sec) ARMA                     : DEBUG           -> Training...
(   21.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.20 sec) Clustered ROM            : DEBUG           -> Training segment 211 slice(5064, 5088, None)
(   21.20 sec) ARMA                     : DEBUG           -> Training...
(   21.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.21 sec) Clustered ROM            : DEBUG           -> Training segment 212 slice(5088, 5112, None)
(   21.21 sec) ARMA                     : DEBUG           -> Training...
(   21.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.24 sec) Clustered ROM            : DEBUG           -> Training segment 213 slice(5112, 5136, None)
(   21.24 sec) ARMA                     : DEBUG           -> Training...
(   21.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.25 sec) Clustered ROM            : DEBUG           -> Training segment 214 slice(5136, 5160, None)
(   21.25 sec) ARMA                     : DEBUG           -> Training...
(   21.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.27 sec) Clustered ROM            : DEBUG           -> Training segment 215 slice(5160, 5184, None)
(   21.27 sec) ARMA                     : DEBUG           -> Training...
(   21.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.31 sec) Clustered ROM            : DEBUG           -> Training segment 216 slice(5184, 5208, None)
(   21.31 sec) ARMA                     : DEBUG           -> Training...
(   21.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.32 sec) Clustered ROM            : DEBUG           -> Training segment 217 slice(5208, 5232, None)
(   21.32 sec) ARMA                     : DEBUG           -> Training...
(   21.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.34 sec) Clustered ROM            : DEBUG           -> Training segment 218 slice(5232, 5256, None)
(   21.34 sec) ARMA                     : DEBUG           -> Training...
(   21.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.37 sec) Clustered ROM            : DEBUG           -> Training segment 219 slice(5256, 5280, None)
(   21.37 sec) ARMA                     : DEBUG           -> Training...
(   21.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.38 sec) Clustered ROM            : DEBUG           -> Training segment 220 slice(5280, 5304, None)
(   21.38 sec) ARMA                     : DEBUG           -> Training...
(   21.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.41 sec) Clustered ROM            : DEBUG           -> Training segment 221 slice(5304, 5328, None)
(   21.41 sec) ARMA                     : DEBUG           -> Training...
(   21.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.42 sec) Clustered ROM            : DEBUG           -> Training segment 222 slice(5328, 5352, None)
(   21.42 sec) ARMA                     : DEBUG           -> Training...
(   21.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.44 sec) Clustered ROM            : DEBUG           -> Training segment 223 slice(5352, 5376, None)
(   21.44 sec) ARMA                     : DEBUG           -> Training...
(   21.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.45 sec) Clustered ROM            : DEBUG           -> Training segment 224 slice(5376, 5400, None)
(   21.45 sec) ARMA                     : DEBUG           -> Training...
(   21.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.45 sec) Clustered ROM            : DEBUG           -> Training segment 225 slice(5400, 5424, None)
(   21.45 sec) ARMA                     : DEBUG           -> Training...
(   21.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.48 sec) Clustered ROM            : DEBUG           -> Training segment 226 slice(5424, 5448, None)
(   21.48 sec) ARMA                     : DEBUG           -> Training...
(   21.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.48 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.49 sec) Clustered ROM            : DEBUG           -> Training segment 227 slice(5448, 5472, None)
(   21.49 sec) ARMA                     : DEBUG           -> Training...
(   21.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.53 sec) Clustered ROM            : DEBUG           -> Training segment 228 slice(5472, 5496, None)
(   21.53 sec) ARMA                     : DEBUG           -> Training...
(   21.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.54 sec) Clustered ROM            : DEBUG           -> Training segment 229 slice(5496, 5520, None)
(   21.54 sec) ARMA                     : DEBUG           -> Training...
(   21.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.55 sec) Clustered ROM            : DEBUG           -> Training segment 230 slice(5520, 5544, None)
(   21.55 sec) ARMA                     : DEBUG           -> Training...
(   21.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.56 sec) Clustered ROM            : DEBUG           -> Training segment 231 slice(5544, 5568, None)
(   21.56 sec) ARMA                     : DEBUG           -> Training...
(   21.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.64 sec) Clustered ROM            : DEBUG           -> Training segment 232 slice(5568, 5592, None)
(   21.64 sec) ARMA                     : DEBUG           -> Training...
(   21.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.66 sec) Clustered ROM            : DEBUG           -> Training segment 233 slice(5592, 5616, None)
(   21.66 sec) ARMA                     : DEBUG           -> Training...
(   21.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.67 sec) Clustered ROM            : DEBUG           -> Training segment 234 slice(5616, 5640, None)
(   21.67 sec) ARMA                     : DEBUG           -> Training...
(   21.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.68 sec) Clustered ROM            : DEBUG           -> Training segment 235 slice(5640, 5664, None)
(   21.68 sec) ARMA                     : DEBUG           -> Training...
(   21.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.69 sec) Clustered ROM            : DEBUG           -> Training segment 236 slice(5664, 5688, None)
(   21.69 sec) ARMA                     : DEBUG           -> Training...
(   21.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.70 sec) Clustered ROM            : DEBUG           -> Training segment 237 slice(5688, 5712, None)
(   21.70 sec) ARMA                     : DEBUG           -> Training...
(   21.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.72 sec) Clustered ROM            : DEBUG           -> Training segment 238 slice(5712, 5736, None)
(   21.72 sec) ARMA                     : DEBUG           -> Training...
(   21.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.72 sec) Clustered ROM            : DEBUG           -> Training segment 239 slice(5736, 5760, None)
(   21.72 sec) ARMA                     : DEBUG           -> Training...
(   21.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.74 sec) Clustered ROM            : DEBUG           -> Training segment 240 slice(5760, 5784, None)
(   21.74 sec) ARMA                     : DEBUG           -> Training...
(   21.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.75 sec) Clustered ROM            : DEBUG           -> Training segment 241 slice(5784, 5808, None)
(   21.75 sec) ARMA                     : DEBUG           -> Training...
(   21.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.76 sec) Clustered ROM            : DEBUG           -> Training segment 242 slice(5808, 5832, None)
(   21.76 sec) ARMA                     : DEBUG           -> Training...
(   21.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.80 sec) Clustered ROM            : DEBUG           -> Training segment 243 slice(5832, 5856, None)
(   21.80 sec) ARMA                     : DEBUG           -> Training...
(   21.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.82 sec) Clustered ROM            : DEBUG           -> Training segment 244 slice(5856, 5880, None)
(   21.82 sec) ARMA                     : DEBUG           -> Training...
(   21.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.82 sec) Clustered ROM            : DEBUG           -> Training segment 245 slice(5880, 5904, None)
(   21.82 sec) ARMA                     : DEBUG           -> Training...
(   21.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.84 sec) Clustered ROM            : DEBUG           -> Training segment 246 slice(5904, 5928, None)
(   21.84 sec) ARMA                     : DEBUG           -> Training...
(   21.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.85 sec) Clustered ROM            : DEBUG           -> Training segment 247 slice(5928, 5952, None)
(   21.85 sec) ARMA                     : DEBUG           -> Training...
(   21.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.86 sec) Clustered ROM            : DEBUG           -> Training segment 248 slice(5952, 5976, None)
(   21.86 sec) ARMA                     : DEBUG           -> Training...
(   21.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.87 sec) Clustered ROM            : DEBUG           -> Training segment 249 slice(5976, 6000, None)
(   21.87 sec) ARMA                     : DEBUG           -> Training...
(   21.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.89 sec) Clustered ROM            : DEBUG           -> Training segment 250 slice(6000, 6024, None)
(   21.89 sec) ARMA                     : DEBUG           -> Training...
(   21.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.90 sec) Clustered ROM            : DEBUG           -> Training segment 251 slice(6024, 6048, None)
(   21.90 sec) ARMA                     : DEBUG           -> Training...
(   21.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.91 sec) Clustered ROM            : DEBUG           -> Training segment 252 slice(6048, 6072, None)
(   21.91 sec) ARMA                     : DEBUG           -> Training...
(   21.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.94 sec) Clustered ROM            : DEBUG           -> Training segment 253 slice(6072, 6096, None)
(   21.94 sec) ARMA                     : DEBUG           -> Training...
(   21.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.96 sec) Clustered ROM            : DEBUG           -> Training segment 254 slice(6096, 6120, None)
(   21.96 sec) ARMA                     : DEBUG           -> Training...
(   21.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.97 sec) Clustered ROM            : DEBUG           -> Training segment 255 slice(6120, 6144, None)
(   21.97 sec) ARMA                     : DEBUG           -> Training...
(   21.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.97 sec) Clustered ROM            : DEBUG           -> Training segment 256 slice(6144, 6168, None)
(   21.97 sec) ARMA                     : DEBUG           -> Training...
(   21.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   21.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   21.98 sec) Clustered ROM            : DEBUG           -> Training segment 257 slice(6168, 6192, None)
(   21.98 sec) ARMA                     : DEBUG           -> Training...
(   21.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   21.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   21.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   21.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   21.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.00 sec) Clustered ROM            : DEBUG           -> Training segment 258 slice(6192, 6216, None)
(   22.00 sec) ARMA                     : DEBUG           -> Training...
(   22.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.01 sec) Clustered ROM            : DEBUG           -> Training segment 259 slice(6216, 6240, None)
(   22.01 sec) ARMA                     : DEBUG           -> Training...
(   22.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.02 sec) Clustered ROM            : DEBUG           -> Training segment 260 slice(6240, 6264, None)
(   22.02 sec) ARMA                     : DEBUG           -> Training...
(   22.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.03 sec) Clustered ROM            : DEBUG           -> Training segment 261 slice(6264, 6288, None)
(   22.03 sec) ARMA                     : DEBUG           -> Training...
(   22.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.04 sec) Clustered ROM            : DEBUG           -> Training segment 262 slice(6288, 6312, None)
(   22.04 sec) ARMA                     : DEBUG           -> Training...
(   22.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.09 sec) Clustered ROM            : DEBUG           -> Training segment 263 slice(6312, 6336, None)
(   22.09 sec) ARMA                     : DEBUG           -> Training...
(   22.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.12 sec) Clustered ROM            : DEBUG           -> Training segment 264 slice(6336, 6360, None)
(   22.12 sec) ARMA                     : DEBUG           -> Training...
(   22.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.15 sec) Clustered ROM            : DEBUG           -> Training segment 265 slice(6360, 6384, None)
(   22.15 sec) ARMA                     : DEBUG           -> Training...
(   22.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.16 sec) Clustered ROM            : DEBUG           -> Training segment 266 slice(6384, 6408, None)
(   22.16 sec) ARMA                     : DEBUG           -> Training...
(   22.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.19 sec) Clustered ROM            : DEBUG           -> Training segment 267 slice(6408, 6432, None)
(   22.19 sec) ARMA                     : DEBUG           -> Training...
(   22.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.21 sec) Clustered ROM            : DEBUG           -> Training segment 268 slice(6432, 6456, None)
(   22.21 sec) ARMA                     : DEBUG           -> Training...
(   22.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.22 sec) Clustered ROM            : DEBUG           -> Training segment 269 slice(6456, 6480, None)
(   22.22 sec) ARMA                     : DEBUG           -> Training...
(   22.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.25 sec) Clustered ROM            : DEBUG           -> Training segment 270 slice(6480, 6504, None)
(   22.25 sec) ARMA                     : DEBUG           -> Training...
(   22.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.26 sec) Clustered ROM            : DEBUG           -> Training segment 271 slice(6504, 6528, None)
(   22.26 sec) ARMA                     : DEBUG           -> Training...
(   22.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.26 sec) Clustered ROM            : DEBUG           -> Training segment 272 slice(6528, 6552, None)
(   22.26 sec) ARMA                     : DEBUG           -> Training...
(   22.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.28 sec) Clustered ROM            : DEBUG           -> Training segment 273 slice(6552, 6576, None)
(   22.28 sec) ARMA                     : DEBUG           -> Training...
(   22.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.29 sec) Clustered ROM            : DEBUG           -> Training segment 274 slice(6576, 6600, None)
(   22.29 sec) ARMA                     : DEBUG           -> Training...
(   22.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.30 sec) Clustered ROM            : DEBUG           -> Training segment 275 slice(6600, 6624, None)
(   22.30 sec) ARMA                     : DEBUG           -> Training...
(   22.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.31 sec) Clustered ROM            : DEBUG           -> Training segment 276 slice(6624, 6648, None)
(   22.31 sec) ARMA                     : DEBUG           -> Training...
(   22.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.32 sec) Clustered ROM            : DEBUG           -> Training segment 277 slice(6648, 6672, None)
(   22.32 sec) ARMA                     : DEBUG           -> Training...
(   22.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.33 sec) Clustered ROM            : DEBUG           -> Training segment 278 slice(6672, 6696, None)
(   22.33 sec) ARMA                     : DEBUG           -> Training...
(   22.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.35 sec) Clustered ROM            : DEBUG           -> Training segment 279 slice(6696, 6720, None)
(   22.35 sec) ARMA                     : DEBUG           -> Training...
(   22.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.38 sec) Clustered ROM            : DEBUG           -> Training segment 280 slice(6720, 6744, None)
(   22.38 sec) ARMA                     : DEBUG           -> Training...
(   22.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.39 sec) Clustered ROM            : DEBUG           -> Training segment 281 slice(6744, 6768, None)
(   22.39 sec) ARMA                     : DEBUG           -> Training...
(   22.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.40 sec) Clustered ROM            : DEBUG           -> Training segment 282 slice(6768, 6792, None)
(   22.40 sec) ARMA                     : DEBUG           -> Training...
(   22.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.41 sec) Clustered ROM            : DEBUG           -> Training segment 283 slice(6792, 6816, None)
(   22.41 sec) ARMA                     : DEBUG           -> Training...
(   22.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.42 sec) Clustered ROM            : DEBUG           -> Training segment 284 slice(6816, 6840, None)
(   22.42 sec) ARMA                     : DEBUG           -> Training...
(   22.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.45 sec) Clustered ROM            : DEBUG           -> Training segment 285 slice(6840, 6864, None)
(   22.45 sec) ARMA                     : DEBUG           -> Training...
(   22.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.46 sec) Clustered ROM            : DEBUG           -> Training segment 286 slice(6864, 6888, None)
(   22.46 sec) ARMA                     : DEBUG           -> Training...
(   22.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.50 sec) Clustered ROM            : DEBUG           -> Training segment 287 slice(6888, 6912, None)
(   22.50 sec) ARMA                     : DEBUG           -> Training...
(   22.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.51 sec) Clustered ROM            : DEBUG           -> Training segment 288 slice(6912, 6936, None)
(   22.51 sec) ARMA                     : DEBUG           -> Training...
(   22.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.52 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.52 sec) Clustered ROM            : DEBUG           -> Training segment 289 slice(6936, 6960, None)
(   22.52 sec) ARMA                     : DEBUG           -> Training...
(   22.52 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.52 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.53 sec) Clustered ROM            : DEBUG           -> Training segment 290 slice(6960, 6984, None)
(   22.53 sec) ARMA                     : DEBUG           -> Training...
(   22.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.54 sec) Clustered ROM            : DEBUG           -> Training segment 291 slice(6984, 7008, None)
(   22.55 sec) ARMA                     : DEBUG           -> Training...
(   22.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.55 sec) Clustered ROM            : DEBUG           -> Training segment 292 slice(7008, 7032, None)
(   22.55 sec) ARMA                     : DEBUG           -> Training...
(   22.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.57 sec) Clustered ROM            : DEBUG           -> Training segment 293 slice(7032, 7056, None)
(   22.57 sec) ARMA                     : DEBUG           -> Training...
(   22.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.59 sec) Clustered ROM            : DEBUG           -> Training segment 294 slice(7056, 7080, None)
(   22.59 sec) ARMA                     : DEBUG           -> Training...
(   22.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.59 sec) Clustered ROM            : DEBUG           -> Training segment 295 slice(7080, 7104, None)
(   22.59 sec) ARMA                     : DEBUG           -> Training...
(   22.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.60 sec) Clustered ROM            : DEBUG           -> Training segment 296 slice(7104, 7128, None)
(   22.60 sec) ARMA                     : DEBUG           -> Training...
(   22.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.62 sec) Clustered ROM            : DEBUG           -> Training segment 297 slice(7128, 7152, None)
(   22.62 sec) ARMA                     : DEBUG           -> Training...
(   22.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.63 sec) Clustered ROM            : DEBUG           -> Training segment 298 slice(7152, 7176, None)
(   22.63 sec) ARMA                     : DEBUG           -> Training...
(   22.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.64 sec) Clustered ROM            : DEBUG           -> Training segment 299 slice(7176, 7200, None)
(   22.64 sec) ARMA                     : DEBUG           -> Training...
(   22.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.65 sec) Clustered ROM            : DEBUG           -> Training segment 300 slice(7200, 7224, None)
(   22.65 sec) ARMA                     : DEBUG           -> Training...
(   22.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.67 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.67 sec) Clustered ROM            : DEBUG           -> Training segment 301 slice(7224, 7248, None)
(   22.67 sec) ARMA                     : DEBUG           -> Training...
(   22.67 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.67 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.67 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.67 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.67 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.68 sec) Clustered ROM            : DEBUG           -> Training segment 302 slice(7248, 7272, None)
(   22.68 sec) ARMA                     : DEBUG           -> Training...
(   22.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.69 sec) Clustered ROM            : DEBUG           -> Training segment 303 slice(7272, 7296, None)
(   22.69 sec) ARMA                     : DEBUG           -> Training...
(   22.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.70 sec) Clustered ROM            : DEBUG           -> Training segment 304 slice(7296, 7320, None)
(   22.70 sec) ARMA                     : DEBUG           -> Training...
(   22.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.72 sec) Clustered ROM            : DEBUG           -> Training segment 305 slice(7320, 7344, None)
(   22.72 sec) ARMA                     : DEBUG           -> Training...
(   22.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.75 sec) Clustered ROM            : DEBUG           -> Training segment 306 slice(7344, 7368, None)
(   22.75 sec) ARMA                     : DEBUG           -> Training...
(   22.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.76 sec) Clustered ROM            : DEBUG           -> Training segment 307 slice(7368, 7392, None)
(   22.76 sec) ARMA                     : DEBUG           -> Training...
(   22.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.78 sec) Clustered ROM            : DEBUG           -> Training segment 308 slice(7392, 7416, None)
(   22.78 sec) ARMA                     : DEBUG           -> Training...
(   22.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.78 sec) Clustered ROM            : DEBUG           -> Training segment 309 slice(7416, 7440, None)
(   22.78 sec) ARMA                     : DEBUG           -> Training...
(   22.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.82 sec) Clustered ROM            : DEBUG           -> Training segment 310 slice(7440, 7464, None)
(   22.82 sec) ARMA                     : DEBUG           -> Training...
(   22.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.82 sec) Clustered ROM            : DEBUG           -> Training segment 311 slice(7464, 7488, None)
(   22.82 sec) ARMA                     : DEBUG           -> Training...
(   22.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.84 sec) Clustered ROM            : DEBUG           -> Training segment 312 slice(7488, 7512, None)
(   22.84 sec) ARMA                     : DEBUG           -> Training...
(   22.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.85 sec) Clustered ROM            : DEBUG           -> Training segment 313 slice(7512, 7536, None)
(   22.85 sec) ARMA                     : DEBUG           -> Training...
(   22.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.89 sec) Clustered ROM            : DEBUG           -> Training segment 314 slice(7536, 7560, None)
(   22.89 sec) ARMA                     : DEBUG           -> Training...
(   22.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.91 sec) Clustered ROM            : DEBUG           -> Training segment 315 slice(7560, 7584, None)
(   22.91 sec) ARMA                     : DEBUG           -> Training...
(   22.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.93 sec) Clustered ROM            : DEBUG           -> Training segment 316 slice(7584, 7608, None)
(   22.93 sec) ARMA                     : DEBUG           -> Training...
(   22.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.94 sec) Clustered ROM            : DEBUG           -> Training segment 317 slice(7608, 7632, None)
(   22.94 sec) ARMA                     : DEBUG           -> Training...
(   22.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.95 sec) Clustered ROM            : DEBUG           -> Training segment 318 slice(7632, 7656, None)
(   22.95 sec) ARMA                     : DEBUG           -> Training...
(   22.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.96 sec) Clustered ROM            : DEBUG           -> Training segment 319 slice(7656, 7680, None)
(   22.96 sec) ARMA                     : DEBUG           -> Training...
(   22.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.97 sec) Clustered ROM            : DEBUG           -> Training segment 320 slice(7680, 7704, None)
(   22.97 sec) ARMA                     : DEBUG           -> Training...
(   22.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.98 sec) Clustered ROM            : DEBUG           -> Training segment 321 slice(7704, 7728, None)
(   22.98 sec) ARMA                     : DEBUG           -> Training...
(   22.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   22.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   22.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   22.99 sec) Clustered ROM            : DEBUG           -> Training segment 322 slice(7728, 7752, None)
(   22.99 sec) ARMA                     : DEBUG           -> Training...
(   22.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   22.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   22.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   22.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.00 sec) Clustered ROM            : DEBUG           -> Training segment 323 slice(7752, 7776, None)
(   23.00 sec) ARMA                     : DEBUG           -> Training...
(   23.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.01 sec) Clustered ROM            : DEBUG           -> Training segment 324 slice(7776, 7800, None)
(   23.01 sec) ARMA                     : DEBUG           -> Training...
(   23.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.03 sec) Clustered ROM            : DEBUG           -> Training segment 325 slice(7800, 7824, None)
(   23.03 sec) ARMA                     : DEBUG           -> Training...
(   23.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.04 sec) Clustered ROM            : DEBUG           -> Training segment 326 slice(7824, 7848, None)
(   23.04 sec) ARMA                     : DEBUG           -> Training...
(   23.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.05 sec) Clustered ROM            : DEBUG           -> Training segment 327 slice(7848, 7872, None)
(   23.05 sec) ARMA                     : DEBUG           -> Training...
(   23.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.08 sec) Clustered ROM            : DEBUG           -> Training segment 328 slice(7872, 7896, None)
(   23.08 sec) ARMA                     : DEBUG           -> Training...
(   23.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.10 sec) Clustered ROM            : DEBUG           -> Training segment 329 slice(7896, 7920, None)
(   23.10 sec) ARMA                     : DEBUG           -> Training...
(   23.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.11 sec) Clustered ROM            : DEBUG           -> Training segment 330 slice(7920, 7944, None)
(   23.11 sec) ARMA                     : DEBUG           -> Training...
(   23.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.12 sec) Clustered ROM            : DEBUG           -> Training segment 331 slice(7944, 7968, None)
(   23.12 sec) ARMA                     : DEBUG           -> Training...
(   23.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.13 sec) Clustered ROM            : DEBUG           -> Training segment 332 slice(7968, 7992, None)
(   23.13 sec) ARMA                     : DEBUG           -> Training...
(   23.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.15 sec) Clustered ROM            : DEBUG           -> Training segment 333 slice(7992, 8016, None)
(   23.15 sec) ARMA                     : DEBUG           -> Training...
(   23.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.16 sec) Clustered ROM            : DEBUG           -> Training segment 334 slice(8016, 8040, None)
(   23.16 sec) ARMA                     : DEBUG           -> Training...
(   23.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.20 sec) Clustered ROM            : DEBUG           -> Training segment 335 slice(8040, 8064, None)
(   23.20 sec) ARMA                     : DEBUG           -> Training...
(   23.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.22 sec) Clustered ROM            : DEBUG           -> Training segment 336 slice(8064, 8088, None)
(   23.22 sec) ARMA                     : DEBUG           -> Training...
(   23.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.24 sec) Clustered ROM            : DEBUG           -> Training segment 337 slice(8088, 8112, None)
(   23.24 sec) ARMA                     : DEBUG           -> Training...
(   23.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.26 sec) Clustered ROM            : DEBUG           -> Training segment 338 slice(8112, 8136, None)
(   23.26 sec) ARMA                     : DEBUG           -> Training...
(   23.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.28 sec) Clustered ROM            : DEBUG           -> Training segment 339 slice(8136, 8160, None)
(   23.28 sec) ARMA                     : DEBUG           -> Training...
(   23.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.29 sec) Clustered ROM            : DEBUG           -> Training segment 340 slice(8160, 8184, None)
(   23.29 sec) ARMA                     : DEBUG           -> Training...
(   23.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.31 sec) Clustered ROM            : DEBUG           -> Training segment 341 slice(8184, 8208, None)
(   23.31 sec) ARMA                     : DEBUG           -> Training...
(   23.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.31 sec) Clustered ROM            : DEBUG           -> Training segment 342 slice(8208, 8232, None)
(   23.31 sec) ARMA                     : DEBUG           -> Training...
(   23.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.35 sec) Clustered ROM            : DEBUG           -> Training segment 343 slice(8232, 8256, None)
(   23.35 sec) ARMA                     : DEBUG           -> Training...
(   23.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.35 sec) Clustered ROM            : DEBUG           -> Training segment 344 slice(8256, 8280, None)
(   23.35 sec) ARMA                     : DEBUG           -> Training...
(   23.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.36 sec) Clustered ROM            : DEBUG           -> Training segment 345 slice(8280, 8304, None)
(   23.36 sec) ARMA                     : DEBUG           -> Training...
(   23.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.38 sec) Clustered ROM            : DEBUG           -> Training segment 346 slice(8304, 8328, None)
(   23.38 sec) ARMA                     : DEBUG           -> Training...
(   23.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.39 sec) Clustered ROM            : DEBUG           -> Training segment 347 slice(8328, 8352, None)
(   23.39 sec) ARMA                     : DEBUG           -> Training...
(   23.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.39 sec) Clustered ROM            : DEBUG           -> Training segment 348 slice(8352, 8376, None)
(   23.39 sec) ARMA                     : DEBUG           -> Training...
(   23.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.40 sec) Clustered ROM            : DEBUG           -> Training segment 349 slice(8376, 8400, None)
(   23.40 sec) ARMA                     : DEBUG           -> Training...
(   23.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.42 sec) Clustered ROM            : DEBUG           -> Training segment 350 slice(8400, 8424, None)
(   23.42 sec) ARMA                     : DEBUG           -> Training...
(   23.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.43 sec) Clustered ROM            : DEBUG           -> Training segment 351 slice(8424, 8448, None)
(   23.43 sec) ARMA                     : DEBUG           -> Training...
(   23.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.44 sec) Clustered ROM            : DEBUG           -> Training segment 352 slice(8448, 8472, None)
(   23.44 sec) ARMA                     : DEBUG           -> Training...
(   23.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.46 sec) Clustered ROM            : DEBUG           -> Training segment 353 slice(8472, 8496, None)
(   23.46 sec) ARMA                     : DEBUG           -> Training...
(   23.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.46 sec) Clustered ROM            : DEBUG           -> Training segment 354 slice(8496, 8520, None)
(   23.46 sec) ARMA                     : DEBUG           -> Training...
(   23.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.47 sec) Clustered ROM            : DEBUG           -> Training segment 355 slice(8520, 8544, None)
(   23.47 sec) ARMA                     : DEBUG           -> Training...
(   23.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.48 sec) Clustered ROM            : DEBUG           -> Training segment 356 slice(8544, 8568, None)
(   23.48 sec) ARMA                     : DEBUG           -> Training...
(   23.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.50 sec) Clustered ROM            : DEBUG           -> Training segment 357 slice(8568, 8592, None)
(   23.50 sec) ARMA                     : DEBUG           -> Training...
(   23.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.51 sec) Clustered ROM            : DEBUG           -> Training segment 358 slice(8592, 8616, None)
(   23.51 sec) ARMA                     : DEBUG           -> Training...
(   23.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.51 sec) Clustered ROM            : DEBUG           -> Training segment 359 slice(8616, 8640, None)
(   23.51 sec) ARMA                     : DEBUG           -> Training...
(   23.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.53 sec) Clustered ROM            : DEBUG           -> Training segment 360 slice(8640, 8664, None)
(   23.53 sec) ARMA                     : DEBUG           -> Training...
(   23.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.56 sec) Clustered ROM            : DEBUG           -> Training segment 361 slice(8664, 8688, None)
(   23.56 sec) ARMA                     : DEBUG           -> Training...
(   23.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.59 sec) Clustered ROM            : DEBUG           -> Training segment 362 slice(8688, 8712, None)
(   23.59 sec) ARMA                     : DEBUG           -> Training...
(   23.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.60 sec) Clustered ROM            : DEBUG           -> Training segment 363 slice(8712, 8736, None)
(   23.60 sec) ARMA                     : DEBUG           -> Training...
(   23.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.61 sec) Clustered ROM            : DEBUG           -> Training segment 364 slice(8736, 8760, None)
(   23.61 sec) ARMA                     : DEBUG           -> Training...
(   23.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.67 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   23.67 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   23.72 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   23.72 sec) Interp. Cluster ROM      : DEBUG           -> Training Statepoint Year 4 ...
(   23.72 sec) Clustered ROM            : DEBUG           -> Training segmented subspaces for "arma" ...
(   23.72 sec) Clustered ROM            : DEBUG           -> Dividing         hour         into  365  divisions for training ...
DEBUGG no ZF here!
(   23.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.73 sec) Clustered ROM            : DEBUG           -> Training segment 0 slice(0, 24, None)
(   23.73 sec) ARMA                     : DEBUG           -> Training...
(   23.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.77 sec) Clustered ROM            : DEBUG           -> Training segment 1 slice(24, 48, None)
(   23.77 sec) ARMA                     : DEBUG           -> Training...
(   23.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.78 sec) Clustered ROM            : DEBUG           -> Training segment 2 slice(48, 72, None)
(   23.78 sec) ARMA                     : DEBUG           -> Training...
(   23.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.79 sec) Clustered ROM            : DEBUG           -> Training segment 3 slice(72, 96, None)
(   23.79 sec) ARMA                     : DEBUG           -> Training...
(   23.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.81 sec) Clustered ROM            : DEBUG           -> Training segment 4 slice(96, 120, None)
(   23.81 sec) ARMA                     : DEBUG           -> Training...
(   23.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.82 sec) Clustered ROM            : DEBUG           -> Training segment 5 slice(120, 144, None)
(   23.82 sec) ARMA                     : DEBUG           -> Training...
(   23.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.83 sec) Clustered ROM            : DEBUG           -> Training segment 6 slice(144, 168, None)
(   23.83 sec) ARMA                     : DEBUG           -> Training...
(   23.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.84 sec) Clustered ROM            : DEBUG           -> Training segment 7 slice(168, 192, None)
(   23.84 sec) ARMA                     : DEBUG           -> Training...
(   23.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.85 sec) Clustered ROM            : DEBUG           -> Training segment 8 slice(192, 216, None)
(   23.85 sec) ARMA                     : DEBUG           -> Training...
(   23.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.86 sec) Clustered ROM            : DEBUG           -> Training segment 9 slice(216, 240, None)
(   23.86 sec) ARMA                     : DEBUG           -> Training...
(   23.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.87 sec) Clustered ROM            : DEBUG           -> Training segment 10 slice(240, 264, None)
(   23.87 sec) ARMA                     : DEBUG           -> Training...
(   23.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.88 sec) Clustered ROM            : DEBUG           -> Training segment 11 slice(264, 288, None)
(   23.88 sec) ARMA                     : DEBUG           -> Training...
(   23.88 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.88 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.88 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.88 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.88 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.89 sec) Clustered ROM            : DEBUG           -> Training segment 12 slice(288, 312, None)
(   23.89 sec) ARMA                     : DEBUG           -> Training...
(   23.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.91 sec) Clustered ROM            : DEBUG           -> Training segment 13 slice(312, 336, None)
(   23.91 sec) ARMA                     : DEBUG           -> Training...
(   23.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.91 sec) Clustered ROM            : DEBUG           -> Training segment 14 slice(336, 360, None)
(   23.91 sec) ARMA                     : DEBUG           -> Training...
(   23.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.92 sec) Clustered ROM            : DEBUG           -> Training segment 15 slice(360, 384, None)
(   23.92 sec) ARMA                     : DEBUG           -> Training...
(   23.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.94 sec) Clustered ROM            : DEBUG           -> Training segment 16 slice(384, 408, None)
(   23.94 sec) ARMA                     : DEBUG           -> Training...
(   23.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.95 sec) Clustered ROM            : DEBUG           -> Training segment 17 slice(408, 432, None)
(   23.95 sec) ARMA                     : DEBUG           -> Training...
(   23.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   23.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   23.98 sec) Clustered ROM            : DEBUG           -> Training segment 18 slice(432, 456, None)
(   23.98 sec) ARMA                     : DEBUG           -> Training...
(   23.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   23.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   23.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   23.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   23.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.00 sec) Clustered ROM            : DEBUG           -> Training segment 19 slice(456, 480, None)
(   24.00 sec) ARMA                     : DEBUG           -> Training...
(   24.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.00 sec) Clustered ROM            : DEBUG           -> Training segment 20 slice(480, 504, None)
(   24.00 sec) ARMA                     : DEBUG           -> Training...
(   24.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.01 sec) Clustered ROM            : DEBUG           -> Training segment 21 slice(504, 528, None)
(   24.01 sec) ARMA                     : DEBUG           -> Training...
(   24.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.02 sec) Clustered ROM            : DEBUG           -> Training segment 22 slice(528, 552, None)
(   24.02 sec) ARMA                     : DEBUG           -> Training...
(   24.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.04 sec) Clustered ROM            : DEBUG           -> Training segment 23 slice(552, 576, None)
(   24.04 sec) ARMA                     : DEBUG           -> Training...
(   24.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.05 sec) Clustered ROM            : DEBUG           -> Training segment 24 slice(576, 600, None)
(   24.05 sec) ARMA                     : DEBUG           -> Training...
(   24.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.06 sec) Clustered ROM            : DEBUG           -> Training segment 25 slice(600, 624, None)
(   24.06 sec) ARMA                     : DEBUG           -> Training...
(   24.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.06 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.06 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.06 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.07 sec) Clustered ROM            : DEBUG           -> Training segment 26 slice(624, 648, None)
(   24.07 sec) ARMA                     : DEBUG           -> Training...
(   24.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.08 sec) Clustered ROM            : DEBUG           -> Training segment 27 slice(648, 672, None)
(   24.08 sec) ARMA                     : DEBUG           -> Training...
(   24.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.09 sec) Clustered ROM            : DEBUG           -> Training segment 28 slice(672, 696, None)
(   24.09 sec) ARMA                     : DEBUG           -> Training...
(   24.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.13 sec) Clustered ROM            : DEBUG           -> Training segment 29 slice(696, 720, None)
(   24.13 sec) ARMA                     : DEBUG           -> Training...
(   24.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.17 sec) Clustered ROM            : DEBUG           -> Training segment 30 slice(720, 744, None)
(   24.17 sec) ARMA                     : DEBUG           -> Training...
(   24.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.20 sec) Clustered ROM            : DEBUG           -> Training segment 31 slice(744, 768, None)
(   24.20 sec) ARMA                     : DEBUG           -> Training...
(   24.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.22 sec) Clustered ROM            : DEBUG           -> Training segment 32 slice(768, 792, None)
(   24.22 sec) ARMA                     : DEBUG           -> Training...
(   24.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.24 sec) Clustered ROM            : DEBUG           -> Training segment 33 slice(792, 816, None)
(   24.24 sec) ARMA                     : DEBUG           -> Training...
(   24.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.26 sec) Clustered ROM            : DEBUG           -> Training segment 34 slice(816, 840, None)
(   24.26 sec) ARMA                     : DEBUG           -> Training...
(   24.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.27 sec) Clustered ROM            : DEBUG           -> Training segment 35 slice(840, 864, None)
(   24.27 sec) ARMA                     : DEBUG           -> Training...
(   24.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.28 sec) Clustered ROM            : DEBUG           -> Training segment 36 slice(864, 888, None)
(   24.28 sec) ARMA                     : DEBUG           -> Training...
(   24.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.29 sec) Clustered ROM            : DEBUG           -> Training segment 37 slice(888, 912, None)
(   24.29 sec) ARMA                     : DEBUG           -> Training...
(   24.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.31 sec) Clustered ROM            : DEBUG           -> Training segment 38 slice(912, 936, None)
(   24.31 sec) ARMA                     : DEBUG           -> Training...
(   24.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.33 sec) Clustered ROM            : DEBUG           -> Training segment 39 slice(936, 960, None)
(   24.33 sec) ARMA                     : DEBUG           -> Training...
(   24.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.37 sec) Clustered ROM            : DEBUG           -> Training segment 40 slice(960, 984, None)
(   24.37 sec) ARMA                     : DEBUG           -> Training...
(   24.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.39 sec) Clustered ROM            : DEBUG           -> Training segment 41 slice(984, 1008, None)
(   24.39 sec) ARMA                     : DEBUG           -> Training...
(   24.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.40 sec) Clustered ROM            : DEBUG           -> Training segment 42 slice(1008, 1032, None)
(   24.40 sec) ARMA                     : DEBUG           -> Training...
(   24.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.40 sec) Clustered ROM            : DEBUG           -> Training segment 43 slice(1032, 1056, None)
(   24.40 sec) ARMA                     : DEBUG           -> Training...
(   24.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.44 sec) Clustered ROM            : DEBUG           -> Training segment 44 slice(1056, 1080, None)
(   24.44 sec) ARMA                     : DEBUG           -> Training...
(   24.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.45 sec) Clustered ROM            : DEBUG           -> Training segment 45 slice(1080, 1104, None)
(   24.45 sec) ARMA                     : DEBUG           -> Training...
(   24.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.45 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.45 sec) Clustered ROM            : DEBUG           -> Training segment 46 slice(1104, 1128, None)
(   24.45 sec) ARMA                     : DEBUG           -> Training...
(   24.45 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.45 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.45 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.47 sec) Clustered ROM            : DEBUG           -> Training segment 47 slice(1128, 1152, None)
(   24.47 sec) ARMA                     : DEBUG           -> Training...
(   24.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.48 sec) Clustered ROM            : DEBUG           -> Training segment 48 slice(1152, 1176, None)
(   24.48 sec) ARMA                     : DEBUG           -> Training...
(   24.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.49 sec) Clustered ROM            : DEBUG           -> Training segment 49 slice(1176, 1200, None)
(   24.49 sec) ARMA                     : DEBUG           -> Training...
(   24.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.50 sec) Clustered ROM            : DEBUG           -> Training segment 50 slice(1200, 1224, None)
(   24.50 sec) ARMA                     : DEBUG           -> Training...
(   24.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.52 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.52 sec) Clustered ROM            : DEBUG           -> Training segment 51 slice(1224, 1248, None)
(   24.52 sec) ARMA                     : DEBUG           -> Training...
(   24.52 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.52 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.53 sec) Clustered ROM            : DEBUG           -> Training segment 52 slice(1248, 1272, None)
(   24.53 sec) ARMA                     : DEBUG           -> Training...
(   24.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.54 sec) Clustered ROM            : DEBUG           -> Training segment 53 slice(1272, 1296, None)
(   24.54 sec) ARMA                     : DEBUG           -> Training...
(   24.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.55 sec) Clustered ROM            : DEBUG           -> Training segment 54 slice(1296, 1320, None)
(   24.55 sec) ARMA                     : DEBUG           -> Training...
(   24.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.56 sec) Clustered ROM            : DEBUG           -> Training segment 55 slice(1320, 1344, None)
(   24.56 sec) ARMA                     : DEBUG           -> Training...
(   24.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.57 sec) Clustered ROM            : DEBUG           -> Training segment 56 slice(1344, 1368, None)
(   24.57 sec) ARMA                     : DEBUG           -> Training...
(   24.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.58 sec) Clustered ROM            : DEBUG           -> Training segment 57 slice(1368, 1392, None)
(   24.58 sec) ARMA                     : DEBUG           -> Training...
(   24.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.59 sec) Clustered ROM            : DEBUG           -> Training segment 58 slice(1392, 1416, None)
(   24.59 sec) ARMA                     : DEBUG           -> Training...
(   24.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.60 sec) Clustered ROM            : DEBUG           -> Training segment 59 slice(1416, 1440, None)
(   24.60 sec) ARMA                     : DEBUG           -> Training...
(   24.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.62 sec) Clustered ROM            : DEBUG           -> Training segment 60 slice(1440, 1464, None)
(   24.62 sec) ARMA                     : DEBUG           -> Training...
(   24.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.65 sec) Clustered ROM            : DEBUG           -> Training segment 61 slice(1464, 1488, None)
(   24.65 sec) ARMA                     : DEBUG           -> Training...
(   24.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.68 sec) Clustered ROM            : DEBUG           -> Training segment 62 slice(1488, 1512, None)
(   24.68 sec) ARMA                     : DEBUG           -> Training...
(   24.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.69 sec) Clustered ROM            : DEBUG           -> Training segment 63 slice(1512, 1536, None)
(   24.69 sec) ARMA                     : DEBUG           -> Training...
(   24.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.71 sec) Clustered ROM            : DEBUG           -> Training segment 64 slice(1536, 1560, None)
(   24.71 sec) ARMA                     : DEBUG           -> Training...
(   24.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.72 sec) Clustered ROM            : DEBUG           -> Training segment 65 slice(1560, 1584, None)
(   24.72 sec) ARMA                     : DEBUG           -> Training...
(   24.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.76 sec) Clustered ROM            : DEBUG           -> Training segment 66 slice(1584, 1608, None)
(   24.76 sec) ARMA                     : DEBUG           -> Training...
(   24.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.76 sec) Clustered ROM            : DEBUG           -> Training segment 67 slice(1608, 1632, None)
(   24.76 sec) ARMA                     : DEBUG           -> Training...
(   24.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.77 sec) Clustered ROM            : DEBUG           -> Training segment 68 slice(1632, 1656, None)
(   24.78 sec) ARMA                     : DEBUG           -> Training...
(   24.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.79 sec) Clustered ROM            : DEBUG           -> Training segment 69 slice(1656, 1680, None)
(   24.79 sec) ARMA                     : DEBUG           -> Training...
(   24.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.81 sec) Clustered ROM            : DEBUG           -> Training segment 70 slice(1680, 1704, None)
(   24.81 sec) ARMA                     : DEBUG           -> Training...
(   24.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.81 sec) Clustered ROM            : DEBUG           -> Training segment 71 slice(1704, 1728, None)
(   24.81 sec) ARMA                     : DEBUG           -> Training...
(   24.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.83 sec) Clustered ROM            : DEBUG           -> Training segment 72 slice(1728, 1752, None)
(   24.83 sec) ARMA                     : DEBUG           -> Training...
(   24.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.85 sec) Clustered ROM            : DEBUG           -> Training segment 73 slice(1752, 1776, None)
(   24.85 sec) ARMA                     : DEBUG           -> Training...
(   24.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.86 sec) Clustered ROM            : DEBUG           -> Training segment 74 slice(1776, 1800, None)
(   24.86 sec) ARMA                     : DEBUG           -> Training...
(   24.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.87 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.87 sec) Clustered ROM            : DEBUG           -> Training segment 75 slice(1800, 1824, None)
(   24.87 sec) ARMA                     : DEBUG           -> Training...
(   24.87 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.87 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.87 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.87 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.87 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.89 sec) Clustered ROM            : DEBUG           -> Training segment 76 slice(1824, 1848, None)
(   24.89 sec) ARMA                     : DEBUG           -> Training...
(   24.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.93 sec) Clustered ROM            : DEBUG           -> Training segment 77 slice(1848, 1872, None)
(   24.93 sec) ARMA                     : DEBUG           -> Training...
(   24.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.93 sec) Clustered ROM            : DEBUG           -> Training segment 78 slice(1872, 1896, None)
(   24.93 sec) ARMA                     : DEBUG           -> Training...
(   24.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.93 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.93 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.93 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.93 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.95 sec) Clustered ROM            : DEBUG           -> Training segment 79 slice(1896, 1920, None)
(   24.95 sec) ARMA                     : DEBUG           -> Training...
(   24.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.96 sec) Clustered ROM            : DEBUG           -> Training segment 80 slice(1920, 1944, None)
(   24.96 sec) ARMA                     : DEBUG           -> Training...
(   24.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.97 sec) Clustered ROM            : DEBUG           -> Training segment 81 slice(1944, 1968, None)
(   24.97 sec) ARMA                     : DEBUG           -> Training...
(   24.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.98 sec) Clustered ROM            : DEBUG           -> Training segment 82 slice(1968, 1992, None)
(   24.98 sec) ARMA                     : DEBUG           -> Training...
(   24.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   24.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   24.99 sec) Clustered ROM            : DEBUG           -> Training segment 83 slice(1992, 2016, None)
(   24.99 sec) ARMA                     : DEBUG           -> Training...
(   24.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   24.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   24.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   24.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   24.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.00 sec) Clustered ROM            : DEBUG           -> Training segment 84 slice(2016, 2040, None)
(   25.00 sec) ARMA                     : DEBUG           -> Training...
(   25.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.02 sec) Clustered ROM            : DEBUG           -> Training segment 85 slice(2040, 2064, None)
(   25.02 sec) ARMA                     : DEBUG           -> Training...
(   25.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.02 sec) Clustered ROM            : DEBUG           -> Training segment 86 slice(2064, 2088, None)
(   25.02 sec) ARMA                     : DEBUG           -> Training...
(   25.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.06 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.06 sec) Clustered ROM            : DEBUG           -> Training segment 87 slice(2088, 2112, None)
(   25.06 sec) ARMA                     : DEBUG           -> Training...
(   25.06 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.06 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.10 sec) Clustered ROM            : DEBUG           -> Training segment 88 slice(2112, 2136, None)
(   25.10 sec) ARMA                     : DEBUG           -> Training...
(   25.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.11 sec) Clustered ROM            : DEBUG           -> Training segment 89 slice(2136, 2160, None)
(   25.11 sec) ARMA                     : DEBUG           -> Training...
(   25.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.12 sec) Clustered ROM            : DEBUG           -> Training segment 90 slice(2160, 2184, None)
(   25.12 sec) ARMA                     : DEBUG           -> Training...
(   25.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.13 sec) Clustered ROM            : DEBUG           -> Training segment 91 slice(2184, 2208, None)
(   25.13 sec) ARMA                     : DEBUG           -> Training...
(   25.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.14 sec) Clustered ROM            : DEBUG           -> Training segment 92 slice(2208, 2232, None)
(   25.14 sec) ARMA                     : DEBUG           -> Training...
(   25.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.16 sec) Clustered ROM            : DEBUG           -> Training segment 93 slice(2232, 2256, None)
(   25.16 sec) ARMA                     : DEBUG           -> Training...
(   25.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.16 sec) Clustered ROM            : DEBUG           -> Training segment 94 slice(2256, 2280, None)
(   25.16 sec) ARMA                     : DEBUG           -> Training...
(   25.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.17 sec) Clustered ROM            : DEBUG           -> Training segment 95 slice(2280, 2304, None)
(   25.17 sec) ARMA                     : DEBUG           -> Training...
(   25.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.18 sec) Clustered ROM            : DEBUG           -> Training segment 96 slice(2304, 2328, None)
(   25.18 sec) ARMA                     : DEBUG           -> Training...
(   25.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.20 sec) Clustered ROM            : DEBUG           -> Training segment 97 slice(2328, 2352, None)
(   25.20 sec) ARMA                     : DEBUG           -> Training...
(   25.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.20 sec) Clustered ROM            : DEBUG           -> Training segment 98 slice(2352, 2376, None)
(   25.20 sec) ARMA                     : DEBUG           -> Training...
(   25.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.22 sec) Clustered ROM            : DEBUG           -> Training segment 99 slice(2376, 2400, None)
(   25.22 sec) ARMA                     : DEBUG           -> Training...
(   25.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.23 sec) Clustered ROM            : DEBUG           -> Training segment 100 slice(2400, 2424, None)
(   25.23 sec) ARMA                     : DEBUG           -> Training...
(   25.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.26 sec) Clustered ROM            : DEBUG           -> Training segment 101 slice(2424, 2448, None)
(   25.26 sec) ARMA                     : DEBUG           -> Training...
(   25.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.27 sec) Clustered ROM            : DEBUG           -> Training segment 102 slice(2448, 2472, None)
(   25.27 sec) ARMA                     : DEBUG           -> Training...
(   25.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.29 sec) Clustered ROM            : DEBUG           -> Training segment 103 slice(2472, 2496, None)
(   25.29 sec) ARMA                     : DEBUG           -> Training...
(   25.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.29 sec) Clustered ROM            : DEBUG           -> Training segment 104 slice(2496, 2520, None)
(   25.29 sec) ARMA                     : DEBUG           -> Training...
(   25.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.30 sec) Clustered ROM            : DEBUG           -> Training segment 105 slice(2520, 2544, None)
(   25.30 sec) ARMA                     : DEBUG           -> Training...
(   25.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.33 sec) Clustered ROM            : DEBUG           -> Training segment 106 slice(2544, 2568, None)
(   25.33 sec) ARMA                     : DEBUG           -> Training...
(   25.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.35 sec) Clustered ROM            : DEBUG           -> Training segment 107 slice(2568, 2592, None)
(   25.35 sec) ARMA                     : DEBUG           -> Training...
(   25.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.36 sec) Clustered ROM            : DEBUG           -> Training segment 108 slice(2592, 2616, None)
(   25.36 sec) ARMA                     : DEBUG           -> Training...
(   25.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.37 sec) Clustered ROM            : DEBUG           -> Training segment 109 slice(2616, 2640, None)
(   25.37 sec) ARMA                     : DEBUG           -> Training...
(   25.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.38 sec) Clustered ROM            : DEBUG           -> Training segment 110 slice(2640, 2664, None)
(   25.38 sec) ARMA                     : DEBUG           -> Training...
(   25.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.39 sec) Clustered ROM            : DEBUG           -> Training segment 111 slice(2664, 2688, None)
(   25.39 sec) ARMA                     : DEBUG           -> Training...
(   25.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.40 sec) Clustered ROM            : DEBUG           -> Training segment 112 slice(2688, 2712, None)
(   25.40 sec) ARMA                     : DEBUG           -> Training...
(   25.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.42 sec) Clustered ROM            : DEBUG           -> Training segment 113 slice(2712, 2736, None)
(   25.42 sec) ARMA                     : DEBUG           -> Training...
(   25.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.42 sec) Clustered ROM            : DEBUG           -> Training segment 114 slice(2736, 2760, None)
(   25.42 sec) ARMA                     : DEBUG           -> Training...
(   25.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.44 sec) Clustered ROM            : DEBUG           -> Training segment 115 slice(2760, 2784, None)
(   25.44 sec) ARMA                     : DEBUG           -> Training...
(   25.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.47 sec) Clustered ROM            : DEBUG           -> Training segment 116 slice(2784, 2808, None)
(   25.47 sec) ARMA                     : DEBUG           -> Training...
(   25.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.48 sec) Clustered ROM            : DEBUG           -> Training segment 117 slice(2808, 2832, None)
(   25.48 sec) ARMA                     : DEBUG           -> Training...
(   25.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.48 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.52 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.52 sec) Clustered ROM            : DEBUG           -> Training segment 118 slice(2832, 2856, None)
(   25.52 sec) ARMA                     : DEBUG           -> Training...
(   25.52 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.52 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.52 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.52 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.54 sec) Clustered ROM            : DEBUG           -> Training segment 119 slice(2856, 2880, None)
(   25.54 sec) ARMA                     : DEBUG           -> Training...
(   25.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.55 sec) Clustered ROM            : DEBUG           -> Training segment 120 slice(2880, 2904, None)
(   25.55 sec) ARMA                     : DEBUG           -> Training...
(   25.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.56 sec) Clustered ROM            : DEBUG           -> Training segment 121 slice(2904, 2928, None)
(   25.56 sec) ARMA                     : DEBUG           -> Training...
(   25.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.57 sec) Clustered ROM            : DEBUG           -> Training segment 122 slice(2928, 2952, None)
(   25.57 sec) ARMA                     : DEBUG           -> Training...
(   25.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.58 sec) Clustered ROM            : DEBUG           -> Training segment 123 slice(2952, 2976, None)
(   25.58 sec) ARMA                     : DEBUG           -> Training...
(   25.58 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.58 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.58 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.59 sec) Clustered ROM            : DEBUG           -> Training segment 124 slice(2976, 3000, None)
(   25.59 sec) ARMA                     : DEBUG           -> Training...
(   25.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.61 sec) Clustered ROM            : DEBUG           -> Training segment 125 slice(3000, 3024, None)
(   25.61 sec) ARMA                     : DEBUG           -> Training...
(   25.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.61 sec) Clustered ROM            : DEBUG           -> Training segment 126 slice(3024, 3048, None)
(   25.61 sec) ARMA                     : DEBUG           -> Training...
(   25.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.62 sec) Clustered ROM            : DEBUG           -> Training segment 127 slice(3048, 3072, None)
(   25.62 sec) ARMA                     : DEBUG           -> Training...
(   25.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.63 sec) Clustered ROM            : DEBUG           -> Training segment 128 slice(3072, 3096, None)
(   25.63 sec) ARMA                     : DEBUG           -> Training...
(   25.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.65 sec) Clustered ROM            : DEBUG           -> Training segment 129 slice(3096, 3120, None)
(   25.65 sec) ARMA                     : DEBUG           -> Training...
(   25.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.69 sec) Clustered ROM            : DEBUG           -> Training segment 130 slice(3120, 3144, None)
(   25.69 sec) ARMA                     : DEBUG           -> Training...
(   25.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.70 sec) Clustered ROM            : DEBUG           -> Training segment 131 slice(3144, 3168, None)
(   25.70 sec) ARMA                     : DEBUG           -> Training...
(   25.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.71 sec) Clustered ROM            : DEBUG           -> Training segment 132 slice(3168, 3192, None)
(   25.71 sec) ARMA                     : DEBUG           -> Training...
(   25.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.72 sec) Clustered ROM            : DEBUG           -> Training segment 133 slice(3192, 3216, None)
(   25.72 sec) ARMA                     : DEBUG           -> Training...
(   25.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.74 sec) Clustered ROM            : DEBUG           -> Training segment 134 slice(3216, 3240, None)
(   25.74 sec) ARMA                     : DEBUG           -> Training...
(   25.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.75 sec) Clustered ROM            : DEBUG           -> Training segment 135 slice(3240, 3264, None)
(   25.75 sec) ARMA                     : DEBUG           -> Training...
(   25.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.77 sec) Clustered ROM            : DEBUG           -> Training segment 136 slice(3264, 3288, None)
(   25.77 sec) ARMA                     : DEBUG           -> Training...
(   25.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.79 sec) Clustered ROM            : DEBUG           -> Training segment 137 slice(3288, 3312, None)
(   25.79 sec) ARMA                     : DEBUG           -> Training...
(   25.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.80 sec) Clustered ROM            : DEBUG           -> Training segment 138 slice(3312, 3336, None)
(   25.80 sec) ARMA                     : DEBUG           -> Training...
(   25.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.81 sec) Clustered ROM            : DEBUG           -> Training segment 139 slice(3336, 3360, None)
(   25.81 sec) ARMA                     : DEBUG           -> Training...
(   25.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.83 sec) Clustered ROM            : DEBUG           -> Training segment 140 slice(3360, 3384, None)
(   25.83 sec) ARMA                     : DEBUG           -> Training...
(   25.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.86 sec) Clustered ROM            : DEBUG           -> Training segment 141 slice(3384, 3408, None)
(   25.86 sec) ARMA                     : DEBUG           -> Training...
(   25.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.88 sec) Clustered ROM            : DEBUG           -> Training segment 142 slice(3408, 3432, None)
(   25.88 sec) ARMA                     : DEBUG           -> Training...
(   25.88 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.88 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.88 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.88 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.88 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.89 sec) Clustered ROM            : DEBUG           -> Training segment 143 slice(3432, 3456, None)
(   25.89 sec) ARMA                     : DEBUG           -> Training...
(   25.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.92 sec) Clustered ROM            : DEBUG           -> Training segment 144 slice(3456, 3480, None)
(   25.92 sec) ARMA                     : DEBUG           -> Training...
(   25.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.94 sec) Clustered ROM            : DEBUG           -> Training segment 145 slice(3480, 3504, None)
(   25.94 sec) ARMA                     : DEBUG           -> Training...
(   25.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.95 sec) Clustered ROM            : DEBUG           -> Training segment 146 slice(3504, 3528, None)
(   25.95 sec) ARMA                     : DEBUG           -> Training...
(   25.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.96 sec) Clustered ROM            : DEBUG           -> Training segment 147 slice(3528, 3552, None)
(   25.96 sec) ARMA                     : DEBUG           -> Training...
(   25.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   25.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   25.97 sec) Clustered ROM            : DEBUG           -> Training segment 148 slice(3552, 3576, None)
(   25.97 sec) ARMA                     : DEBUG           -> Training...
(   25.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   25.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   25.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   25.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   25.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.00 sec) Clustered ROM            : DEBUG           -> Training segment 149 slice(3576, 3600, None)
(   26.00 sec) ARMA                     : DEBUG           -> Training...
(   26.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.02 sec) Clustered ROM            : DEBUG           -> Training segment 150 slice(3600, 3624, None)
(   26.02 sec) ARMA                     : DEBUG           -> Training...
(   26.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.02 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.03 sec) Clustered ROM            : DEBUG           -> Training segment 151 slice(3624, 3648, None)
(   26.03 sec) ARMA                     : DEBUG           -> Training...
(   26.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.04 sec) Clustered ROM            : DEBUG           -> Training segment 152 slice(3648, 3672, None)
(   26.04 sec) ARMA                     : DEBUG           -> Training...
(   26.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.05 sec) Clustered ROM            : DEBUG           -> Training segment 153 slice(3672, 3696, None)
(   26.05 sec) ARMA                     : DEBUG           -> Training...
(   26.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.07 sec) Clustered ROM            : DEBUG           -> Training segment 154 slice(3696, 3720, None)
(   26.07 sec) ARMA                     : DEBUG           -> Training...
(   26.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.08 sec) Clustered ROM            : DEBUG           -> Training segment 155 slice(3720, 3744, None)
(   26.08 sec) ARMA                     : DEBUG           -> Training...
(   26.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.09 sec) Clustered ROM            : DEBUG           -> Training segment 156 slice(3744, 3768, None)
(   26.09 sec) ARMA                     : DEBUG           -> Training...
(   26.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.11 sec) Clustered ROM            : DEBUG           -> Training segment 157 slice(3768, 3792, None)
(   26.11 sec) ARMA                     : DEBUG           -> Training...
(   26.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.12 sec) Clustered ROM            : DEBUG           -> Training segment 158 slice(3792, 3816, None)
(   26.12 sec) ARMA                     : DEBUG           -> Training...
(   26.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.13 sec) Clustered ROM            : DEBUG           -> Training segment 159 slice(3816, 3840, None)
(   26.13 sec) ARMA                     : DEBUG           -> Training...
(   26.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.14 sec) Clustered ROM            : DEBUG           -> Training segment 160 slice(3840, 3864, None)
(   26.14 sec) ARMA                     : DEBUG           -> Training...
(   26.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.15 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.15 sec) Clustered ROM            : DEBUG           -> Training segment 161 slice(3864, 3888, None)
(   26.15 sec) ARMA                     : DEBUG           -> Training...
(   26.15 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.15 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.15 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.15 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.15 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.17 sec) Clustered ROM            : DEBUG           -> Training segment 162 slice(3888, 3912, None)
(   26.17 sec) ARMA                     : DEBUG           -> Training...
(   26.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.17 sec) Clustered ROM            : DEBUG           -> Training segment 163 slice(3912, 3936, None)
(   26.17 sec) ARMA                     : DEBUG           -> Training...
(   26.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.18 sec) Clustered ROM            : DEBUG           -> Training segment 164 slice(3936, 3960, None)
(   26.18 sec) ARMA                     : DEBUG           -> Training...
(   26.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.20 sec) Clustered ROM            : DEBUG           -> Training segment 165 slice(3960, 3984, None)
(   26.20 sec) ARMA                     : DEBUG           -> Training...
(   26.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.21 sec) Clustered ROM            : DEBUG           -> Training segment 166 slice(3984, 4008, None)
(   26.21 sec) ARMA                     : DEBUG           -> Training...
(   26.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.21 sec) Clustered ROM            : DEBUG           -> Training segment 167 slice(4008, 4032, None)
(   26.21 sec) ARMA                     : DEBUG           -> Training...
(   26.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.26 sec) Clustered ROM            : DEBUG           -> Training segment 168 slice(4032, 4056, None)
(   26.26 sec) ARMA                     : DEBUG           -> Training...
(   26.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.27 sec) Clustered ROM            : DEBUG           -> Training segment 169 slice(4056, 4080, None)
(   26.27 sec) ARMA                     : DEBUG           -> Training...
(   26.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.31 sec) Clustered ROM            : DEBUG           -> Training segment 170 slice(4080, 4104, None)
(   26.31 sec) ARMA                     : DEBUG           -> Training...
(   26.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.31 sec) Clustered ROM            : DEBUG           -> Training segment 171 slice(4104, 4128, None)
(   26.31 sec) ARMA                     : DEBUG           -> Training...
(   26.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.35 sec) Clustered ROM            : DEBUG           -> Training segment 172 slice(4128, 4152, None)
(   26.35 sec) ARMA                     : DEBUG           -> Training...
(   26.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.35 sec) Clustered ROM            : DEBUG           -> Training segment 173 slice(4152, 4176, None)
(   26.35 sec) ARMA                     : DEBUG           -> Training...
(   26.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.37 sec) Clustered ROM            : DEBUG           -> Training segment 174 slice(4176, 4200, None)
(   26.37 sec) ARMA                     : DEBUG           -> Training...
(   26.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.39 sec) Clustered ROM            : DEBUG           -> Training segment 175 slice(4200, 4224, None)
(   26.39 sec) ARMA                     : DEBUG           -> Training...
(   26.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.39 sec) Clustered ROM            : DEBUG           -> Training segment 176 slice(4224, 4248, None)
(   26.39 sec) ARMA                     : DEBUG           -> Training...
(   26.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.39 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.39 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.40 sec) Clustered ROM            : DEBUG           -> Training segment 177 slice(4248, 4272, None)
(   26.40 sec) ARMA                     : DEBUG           -> Training...
(   26.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.42 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.42 sec) Clustered ROM            : DEBUG           -> Training segment 178 slice(4272, 4296, None)
(   26.42 sec) ARMA                     : DEBUG           -> Training...
(   26.42 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.42 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.42 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.42 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.42 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.43 sec) Clustered ROM            : DEBUG           -> Training segment 179 slice(4296, 4320, None)
(   26.43 sec) ARMA                     : DEBUG           -> Training...
(   26.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.43 sec) Clustered ROM            : DEBUG           -> Training segment 180 slice(4320, 4344, None)
(   26.43 sec) ARMA                     : DEBUG           -> Training...
(   26.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.46 sec) Clustered ROM            : DEBUG           -> Training segment 181 slice(4344, 4368, None)
(   26.46 sec) ARMA                     : DEBUG           -> Training...
(   26.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.47 sec) Clustered ROM            : DEBUG           -> Training segment 182 slice(4368, 4392, None)
(   26.47 sec) ARMA                     : DEBUG           -> Training...
(   26.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.48 sec) Clustered ROM            : DEBUG           -> Training segment 183 slice(4392, 4416, None)
(   26.48 sec) ARMA                     : DEBUG           -> Training...
(   26.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.50 sec) Clustered ROM            : DEBUG           -> Training segment 184 slice(4416, 4440, None)
(   26.50 sec) ARMA                     : DEBUG           -> Training...
(   26.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.50 sec) Clustered ROM            : DEBUG           -> Training segment 185 slice(4440, 4464, None)
(   26.50 sec) ARMA                     : DEBUG           -> Training...
(   26.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.51 sec) Clustered ROM            : DEBUG           -> Training segment 186 slice(4464, 4488, None)
(   26.51 sec) ARMA                     : DEBUG           -> Training...
(   26.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.52 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.53 sec) Clustered ROM            : DEBUG           -> Training segment 187 slice(4488, 4512, None)
(   26.53 sec) ARMA                     : DEBUG           -> Training...
(   26.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.57 sec) Clustered ROM            : DEBUG           -> Training segment 188 slice(4512, 4536, None)
(   26.57 sec) ARMA                     : DEBUG           -> Training...
(   26.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.58 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.58 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.60 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.60 sec) Clustered ROM            : DEBUG           -> Training segment 189 slice(4536, 4560, None)
(   26.60 sec) ARMA                     : DEBUG           -> Training...
(   26.60 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.60 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.60 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.60 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.64 sec) Clustered ROM            : DEBUG           -> Training segment 190 slice(4560, 4584, None)
(   26.64 sec) ARMA                     : DEBUG           -> Training...
(   26.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.66 sec) Clustered ROM            : DEBUG           -> Training segment 191 slice(4584, 4608, None)
(   26.66 sec) ARMA                     : DEBUG           -> Training...
(   26.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.68 sec) Clustered ROM            : DEBUG           -> Training segment 192 slice(4608, 4632, None)
(   26.68 sec) ARMA                     : DEBUG           -> Training...
(   26.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.70 sec) Clustered ROM            : DEBUG           -> Training segment 193 slice(4632, 4656, None)
(   26.70 sec) ARMA                     : DEBUG           -> Training...
(   26.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.71 sec) Clustered ROM            : DEBUG           -> Training segment 194 slice(4656, 4680, None)
(   26.71 sec) ARMA                     : DEBUG           -> Training...
(   26.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.72 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.72 sec) Clustered ROM            : DEBUG           -> Training segment 195 slice(4680, 4704, None)
(   26.72 sec) ARMA                     : DEBUG           -> Training...
(   26.72 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.72 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.72 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.72 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.72 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.74 sec) Clustered ROM            : DEBUG           -> Training segment 196 slice(4704, 4728, None)
(   26.74 sec) ARMA                     : DEBUG           -> Training...
(   26.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.75 sec) Clustered ROM            : DEBUG           -> Training segment 197 slice(4728, 4752, None)
(   26.75 sec) ARMA                     : DEBUG           -> Training...
(   26.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.76 sec) Clustered ROM            : DEBUG           -> Training segment 198 slice(4752, 4776, None)
(   26.76 sec) ARMA                     : DEBUG           -> Training...
(   26.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.78 sec) Clustered ROM            : DEBUG           -> Training segment 199 slice(4776, 4800, None)
(   26.78 sec) ARMA                     : DEBUG           -> Training...
(   26.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.80 sec) Clustered ROM            : DEBUG           -> Training segment 200 slice(4800, 4824, None)
(   26.80 sec) ARMA                     : DEBUG           -> Training...
(   26.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.81 sec) Clustered ROM            : DEBUG           -> Training segment 201 slice(4824, 4848, None)
(   26.81 sec) ARMA                     : DEBUG           -> Training...
(   26.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.82 sec) Clustered ROM            : DEBUG           -> Training segment 202 slice(4848, 4872, None)
(   26.82 sec) ARMA                     : DEBUG           -> Training...
(   26.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.85 sec) Clustered ROM            : DEBUG           -> Training segment 203 slice(4872, 4896, None)
(   26.85 sec) ARMA                     : DEBUG           -> Training...
(   26.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.89 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.89 sec) Clustered ROM            : DEBUG           -> Training segment 204 slice(4896, 4920, None)
(   26.89 sec) ARMA                     : DEBUG           -> Training...
(   26.89 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.89 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.89 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.89 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.89 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.90 sec) Clustered ROM            : DEBUG           -> Training segment 205 slice(4920, 4944, None)
(   26.90 sec) ARMA                     : DEBUG           -> Training...
(   26.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.92 sec) Clustered ROM            : DEBUG           -> Training segment 206 slice(4944, 4968, None)
(   26.92 sec) ARMA                     : DEBUG           -> Training...
(   26.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.93 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.93 sec) Clustered ROM            : DEBUG           -> Training segment 207 slice(4968, 4992, None)
(   26.93 sec) ARMA                     : DEBUG           -> Training...
(   26.93 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.98 sec) Clustered ROM            : DEBUG           -> Training segment 208 slice(4992, 5016, None)
(   26.98 sec) ARMA                     : DEBUG           -> Training...
(   26.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   26.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   26.99 sec) Clustered ROM            : DEBUG           -> Training segment 209 slice(5016, 5040, None)
(   26.99 sec) ARMA                     : DEBUG           -> Training...
(   26.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   26.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   26.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   26.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   26.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.03 sec) Clustered ROM            : DEBUG           -> Training segment 210 slice(5040, 5064, None)
(   27.03 sec) ARMA                     : DEBUG           -> Training...
(   27.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.07 sec) Clustered ROM            : DEBUG           -> Training segment 211 slice(5064, 5088, None)
(   27.07 sec) ARMA                     : DEBUG           -> Training...
(   27.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.09 sec) Clustered ROM            : DEBUG           -> Training segment 212 slice(5088, 5112, None)
(   27.09 sec) ARMA                     : DEBUG           -> Training...
(   27.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.12 sec) Clustered ROM            : DEBUG           -> Training segment 213 slice(5112, 5136, None)
(   27.12 sec) ARMA                     : DEBUG           -> Training...
(   27.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.13 sec) Clustered ROM            : DEBUG           -> Training segment 214 slice(5136, 5160, None)
(   27.13 sec) ARMA                     : DEBUG           -> Training...
(   27.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.14 sec) Clustered ROM            : DEBUG           -> Training segment 215 slice(5160, 5184, None)
(   27.14 sec) ARMA                     : DEBUG           -> Training...
(   27.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.18 sec) Clustered ROM            : DEBUG           -> Training segment 216 slice(5184, 5208, None)
(   27.18 sec) ARMA                     : DEBUG           -> Training...
(   27.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.19 sec) Clustered ROM            : DEBUG           -> Training segment 217 slice(5208, 5232, None)
(   27.19 sec) ARMA                     : DEBUG           -> Training...
(   27.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.21 sec) Clustered ROM            : DEBUG           -> Training segment 218 slice(5232, 5256, None)
(   27.21 sec) ARMA                     : DEBUG           -> Training...
(   27.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.24 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.24 sec) Clustered ROM            : DEBUG           -> Training segment 219 slice(5256, 5280, None)
(   27.24 sec) ARMA                     : DEBUG           -> Training...
(   27.24 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.24 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.25 sec) Clustered ROM            : DEBUG           -> Training segment 220 slice(5280, 5304, None)
(   27.25 sec) ARMA                     : DEBUG           -> Training...
(   27.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.28 sec) Clustered ROM            : DEBUG           -> Training segment 221 slice(5304, 5328, None)
(   27.28 sec) ARMA                     : DEBUG           -> Training...
(   27.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.29 sec) Clustered ROM            : DEBUG           -> Training segment 222 slice(5328, 5352, None)
(   27.29 sec) ARMA                     : DEBUG           -> Training...
(   27.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.31 sec) Clustered ROM            : DEBUG           -> Training segment 223 slice(5352, 5376, None)
(   27.31 sec) ARMA                     : DEBUG           -> Training...
(   27.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.32 sec) Clustered ROM            : DEBUG           -> Training segment 224 slice(5376, 5400, None)
(   27.32 sec) ARMA                     : DEBUG           -> Training...
(   27.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.34 sec) Clustered ROM            : DEBUG           -> Training segment 225 slice(5400, 5424, None)
(   27.34 sec) ARMA                     : DEBUG           -> Training...
(   27.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.35 sec) Clustered ROM            : DEBUG           -> Training segment 226 slice(5424, 5448, None)
(   27.35 sec) ARMA                     : DEBUG           -> Training...
(   27.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.36 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.36 sec) Clustered ROM            : DEBUG           -> Training segment 227 slice(5448, 5472, None)
(   27.36 sec) ARMA                     : DEBUG           -> Training...
(   27.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.40 sec) Clustered ROM            : DEBUG           -> Training segment 228 slice(5472, 5496, None)
(   27.40 sec) ARMA                     : DEBUG           -> Training...
(   27.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.41 sec) Clustered ROM            : DEBUG           -> Training segment 229 slice(5496, 5520, None)
(   27.41 sec) ARMA                     : DEBUG           -> Training...
(   27.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.43 sec) Clustered ROM            : DEBUG           -> Training segment 230 slice(5520, 5544, None)
(   27.43 sec) ARMA                     : DEBUG           -> Training...
(   27.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.44 sec) Clustered ROM            : DEBUG           -> Training segment 231 slice(5544, 5568, None)
(   27.44 sec) ARMA                     : DEBUG           -> Training...
(   27.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.45 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.45 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.46 sec) Clustered ROM            : DEBUG           -> Training segment 232 slice(5568, 5592, None)
(   27.46 sec) ARMA                     : DEBUG           -> Training...
(   27.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.47 sec) Clustered ROM            : DEBUG           -> Training segment 233 slice(5592, 5616, None)
(   27.47 sec) ARMA                     : DEBUG           -> Training...
(   27.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.48 sec) Clustered ROM            : DEBUG           -> Training segment 234 slice(5616, 5640, None)
(   27.48 sec) ARMA                     : DEBUG           -> Training...
(   27.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.48 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.49 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.49 sec) Clustered ROM            : DEBUG           -> Training segment 235 slice(5640, 5664, None)
(   27.49 sec) ARMA                     : DEBUG           -> Training...
(   27.49 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.49 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.49 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.49 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.50 sec) Clustered ROM            : DEBUG           -> Training segment 236 slice(5664, 5688, None)
(   27.50 sec) ARMA                     : DEBUG           -> Training...
(   27.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.51 sec) Clustered ROM            : DEBUG           -> Training segment 237 slice(5688, 5712, None)
(   27.51 sec) ARMA                     : DEBUG           -> Training...
(   27.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.52 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.53 sec) Clustered ROM            : DEBUG           -> Training segment 238 slice(5712, 5736, None)
(   27.53 sec) ARMA                     : DEBUG           -> Training...
(   27.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.54 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.54 sec) Clustered ROM            : DEBUG           -> Training segment 239 slice(5736, 5760, None)
(   27.54 sec) ARMA                     : DEBUG           -> Training...
(   27.54 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.54 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.54 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.54 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.54 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.55 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.55 sec) Clustered ROM            : DEBUG           -> Training segment 240 slice(5760, 5784, None)
(   27.55 sec) ARMA                     : DEBUG           -> Training...
(   27.55 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.55 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.55 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.55 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.55 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.56 sec) Clustered ROM            : DEBUG           -> Training segment 241 slice(5784, 5808, None)
(   27.56 sec) ARMA                     : DEBUG           -> Training...
(   27.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.57 sec) Clustered ROM            : DEBUG           -> Training segment 242 slice(5808, 5832, None)
(   27.57 sec) ARMA                     : DEBUG           -> Training...
(   27.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.61 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.61 sec) Clustered ROM            : DEBUG           -> Training segment 243 slice(5832, 5856, None)
(   27.61 sec) ARMA                     : DEBUG           -> Training...
(   27.61 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.61 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.61 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.61 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.61 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.62 sec) Clustered ROM            : DEBUG           -> Training segment 244 slice(5856, 5880, None)
(   27.62 sec) ARMA                     : DEBUG           -> Training...
(   27.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.63 sec) Clustered ROM            : DEBUG           -> Training segment 245 slice(5880, 5904, None)
(   27.63 sec) ARMA                     : DEBUG           -> Training...
(   27.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.63 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.63 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.63 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.63 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.63 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.63 sec) Clustered ROM            : DEBUG           -> Training segment 246 slice(5904, 5928, None)
(   27.63 sec) ARMA                     : DEBUG           -> Training...
(   27.63 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.65 sec) Clustered ROM            : DEBUG           -> Training segment 247 slice(5928, 5952, None)
(   27.65 sec) ARMA                     : DEBUG           -> Training...
(   27.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.65 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.65 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.66 sec) Clustered ROM            : DEBUG           -> Training segment 248 slice(5952, 5976, None)
(   27.66 sec) ARMA                     : DEBUG           -> Training...
(   27.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.68 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.68 sec) Clustered ROM            : DEBUG           -> Training segment 249 slice(5976, 6000, None)
(   27.68 sec) ARMA                     : DEBUG           -> Training...
(   27.68 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.68 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.68 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.68 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.68 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.69 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.69 sec) Clustered ROM            : DEBUG           -> Training segment 250 slice(6000, 6024, None)
(   27.69 sec) ARMA                     : DEBUG           -> Training...
(   27.69 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.69 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.69 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.69 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.69 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.70 sec) Clustered ROM            : DEBUG           -> Training segment 251 slice(6024, 6048, None)
(   27.70 sec) ARMA                     : DEBUG           -> Training...
(   27.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.71 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.71 sec) Clustered ROM            : DEBUG           -> Training segment 252 slice(6048, 6072, None)
(   27.71 sec) ARMA                     : DEBUG           -> Training...
(   27.71 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.71 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.71 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.71 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.71 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.74 sec) Clustered ROM            : DEBUG           -> Training segment 253 slice(6072, 6096, None)
(   27.74 sec) ARMA                     : DEBUG           -> Training...
(   27.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.75 sec) Clustered ROM            : DEBUG           -> Training segment 254 slice(6096, 6120, None)
(   27.75 sec) ARMA                     : DEBUG           -> Training...
(   27.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.77 sec) Clustered ROM            : DEBUG           -> Training segment 255 slice(6120, 6144, None)
(   27.77 sec) ARMA                     : DEBUG           -> Training...
(   27.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.78 sec) Clustered ROM            : DEBUG           -> Training segment 256 slice(6144, 6168, None)
(   27.78 sec) ARMA                     : DEBUG           -> Training...
(   27.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.78 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.79 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.79 sec) Clustered ROM            : DEBUG           -> Training segment 257 slice(6168, 6192, None)
(   27.79 sec) ARMA                     : DEBUG           -> Training...
(   27.79 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.79 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.79 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.79 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.81 sec) Clustered ROM            : DEBUG           -> Training segment 258 slice(6192, 6216, None)
(   27.81 sec) ARMA                     : DEBUG           -> Training...
(   27.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.82 sec) Clustered ROM            : DEBUG           -> Training segment 259 slice(6216, 6240, None)
(   27.82 sec) ARMA                     : DEBUG           -> Training...
(   27.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.82 sec) Clustered ROM            : DEBUG           -> Training segment 260 slice(6240, 6264, None)
(   27.82 sec) ARMA                     : DEBUG           -> Training...
(   27.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.83 sec) Clustered ROM            : DEBUG           -> Training segment 261 slice(6264, 6288, None)
(   27.83 sec) ARMA                     : DEBUG           -> Training...
(   27.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.85 sec) Clustered ROM            : DEBUG           -> Training segment 262 slice(6288, 6312, None)
(   27.85 sec) ARMA                     : DEBUG           -> Training...
(   27.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.88 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.88 sec) Clustered ROM            : DEBUG           -> Training segment 263 slice(6312, 6336, None)
(   27.88 sec) ARMA                     : DEBUG           -> Training...
(   27.88 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.88 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.88 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.88 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.88 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.91 sec) Clustered ROM            : DEBUG           -> Training segment 264 slice(6336, 6360, None)
(   27.91 sec) ARMA                     : DEBUG           -> Training...
(   27.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.94 sec) Clustered ROM            : DEBUG           -> Training segment 265 slice(6360, 6384, None)
(   27.94 sec) ARMA                     : DEBUG           -> Training...
(   27.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.95 sec) Clustered ROM            : DEBUG           -> Training segment 266 slice(6384, 6408, None)
(   27.95 sec) ARMA                     : DEBUG           -> Training...
(   27.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.97 sec) Clustered ROM            : DEBUG           -> Training segment 267 slice(6408, 6432, None)
(   27.97 sec) ARMA                     : DEBUG           -> Training...
(   27.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.98 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.98 sec) Clustered ROM            : DEBUG           -> Training segment 268 slice(6432, 6456, None)
(   27.98 sec) ARMA                     : DEBUG           -> Training...
(   27.98 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.98 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.98 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.98 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.98 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   27.99 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   27.99 sec) Clustered ROM            : DEBUG           -> Training segment 269 slice(6456, 6480, None)
(   27.99 sec) ARMA                     : DEBUG           -> Training...
(   27.99 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   27.99 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   27.99 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   27.99 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   27.99 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.03 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.03 sec) Clustered ROM            : DEBUG           -> Training segment 270 slice(6480, 6504, None)
(   28.03 sec) ARMA                     : DEBUG           -> Training...
(   28.03 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.03 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.03 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.03 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.04 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.04 sec) Clustered ROM            : DEBUG           -> Training segment 271 slice(6504, 6528, None)
(   28.04 sec) ARMA                     : DEBUG           -> Training...
(   28.04 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.04 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.04 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.04 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.04 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.05 sec) Clustered ROM            : DEBUG           -> Training segment 272 slice(6528, 6552, None)
(   28.05 sec) ARMA                     : DEBUG           -> Training...
(   28.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.07 sec) Clustered ROM            : DEBUG           -> Training segment 273 slice(6552, 6576, None)
(   28.07 sec) ARMA                     : DEBUG           -> Training...
(   28.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.08 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.08 sec) Clustered ROM            : DEBUG           -> Training segment 274 slice(6576, 6600, None)
(   28.08 sec) ARMA                     : DEBUG           -> Training...
(   28.08 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.08 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.08 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.08 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.08 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.09 sec) Clustered ROM            : DEBUG           -> Training segment 275 slice(6600, 6624, None)
(   28.09 sec) ARMA                     : DEBUG           -> Training...
(   28.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.10 sec) Clustered ROM            : DEBUG           -> Training segment 276 slice(6624, 6648, None)
(   28.10 sec) ARMA                     : DEBUG           -> Training...
(   28.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.12 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.12 sec) Clustered ROM            : DEBUG           -> Training segment 277 slice(6648, 6672, None)
(   28.12 sec) ARMA                     : DEBUG           -> Training...
(   28.12 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.12 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.12 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.12 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.12 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.13 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.13 sec) Clustered ROM            : DEBUG           -> Training segment 278 slice(6672, 6696, None)
(   28.13 sec) ARMA                     : DEBUG           -> Training...
(   28.13 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.13 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.13 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.13 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.13 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.14 sec) Clustered ROM            : DEBUG           -> Training segment 279 slice(6696, 6720, None)
(   28.14 sec) ARMA                     : DEBUG           -> Training...
(   28.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.18 sec) Clustered ROM            : DEBUG           -> Training segment 280 slice(6720, 6744, None)
(   28.18 sec) ARMA                     : DEBUG           -> Training...
(   28.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.19 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.19 sec) Clustered ROM            : DEBUG           -> Training segment 281 slice(6744, 6768, None)
(   28.19 sec) ARMA                     : DEBUG           -> Training...
(   28.19 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.19 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.19 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.19 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.19 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.20 sec) Clustered ROM            : DEBUG           -> Training segment 282 slice(6768, 6792, None)
(   28.20 sec) ARMA                     : DEBUG           -> Training...
(   28.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.20 sec) Clustered ROM            : DEBUG           -> Training segment 283 slice(6792, 6816, None)
(   28.20 sec) ARMA                     : DEBUG           -> Training...
(   28.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.21 sec) Clustered ROM            : DEBUG           -> Training segment 284 slice(6816, 6840, None)
(   28.21 sec) ARMA                     : DEBUG           -> Training...
(   28.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.25 sec) Clustered ROM            : DEBUG           -> Training segment 285 slice(6840, 6864, None)
(   28.25 sec) ARMA                     : DEBUG           -> Training...
(   28.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.27 sec) Clustered ROM            : DEBUG           -> Training segment 286 slice(6864, 6888, None)
(   28.27 sec) ARMA                     : DEBUG           -> Training...
(   28.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.30 sec) Clustered ROM            : DEBUG           -> Training segment 287 slice(6888, 6912, None)
(   28.30 sec) ARMA                     : DEBUG           -> Training...
(   28.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.30 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.31 sec) Clustered ROM            : DEBUG           -> Training segment 288 slice(6912, 6936, None)
(   28.31 sec) ARMA                     : DEBUG           -> Training...
(   28.31 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.31 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.31 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.31 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.32 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.32 sec) Clustered ROM            : DEBUG           -> Training segment 289 slice(6936, 6960, None)
(   28.32 sec) ARMA                     : DEBUG           -> Training...
(   28.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.33 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.33 sec) Clustered ROM            : DEBUG           -> Training segment 290 slice(6960, 6984, None)
(   28.33 sec) ARMA                     : DEBUG           -> Training...
(   28.33 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.33 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.33 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.33 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.33 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.35 sec) Clustered ROM            : DEBUG           -> Training segment 291 slice(6984, 7008, None)
(   28.35 sec) ARMA                     : DEBUG           -> Training...
(   28.35 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.35 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.35 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.35 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.35 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.35 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.36 sec) Clustered ROM            : DEBUG           -> Training segment 292 slice(7008, 7032, None)
(   28.36 sec) ARMA                     : DEBUG           -> Training...
(   28.36 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.36 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.36 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.36 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.36 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.37 sec) Clustered ROM            : DEBUG           -> Training segment 293 slice(7032, 7056, None)
(   28.37 sec) ARMA                     : DEBUG           -> Training...
(   28.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.38 sec) Clustered ROM            : DEBUG           -> Training segment 294 slice(7056, 7080, None)
(   28.38 sec) ARMA                     : DEBUG           -> Training...
(   28.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.40 sec) Clustered ROM            : DEBUG           -> Training segment 295 slice(7080, 7104, None)
(   28.40 sec) ARMA                     : DEBUG           -> Training...
(   28.40 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.40 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.40 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.41 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.41 sec) Clustered ROM            : DEBUG           -> Training segment 296 slice(7104, 7128, None)
(   28.41 sec) ARMA                     : DEBUG           -> Training...
(   28.41 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.41 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.41 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.41 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.41 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.43 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.43 sec) Clustered ROM            : DEBUG           -> Training segment 297 slice(7128, 7152, None)
(   28.43 sec) ARMA                     : DEBUG           -> Training...
(   28.43 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.43 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.43 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.43 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.43 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.44 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.44 sec) Clustered ROM            : DEBUG           -> Training segment 298 slice(7152, 7176, None)
(   28.44 sec) ARMA                     : DEBUG           -> Training...
(   28.44 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.44 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.44 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.44 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.44 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.46 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.46 sec) Clustered ROM            : DEBUG           -> Training segment 299 slice(7176, 7200, None)
(   28.46 sec) ARMA                     : DEBUG           -> Training...
(   28.46 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.46 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.46 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.46 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.46 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.47 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.47 sec) Clustered ROM            : DEBUG           -> Training segment 300 slice(7200, 7224, None)
(   28.47 sec) ARMA                     : DEBUG           -> Training...
(   28.47 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.47 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.47 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.47 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.47 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.48 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.48 sec) Clustered ROM            : DEBUG           -> Training segment 301 slice(7224, 7248, None)
(   28.48 sec) ARMA                     : DEBUG           -> Training...
(   28.48 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.48 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.48 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.48 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.49 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.50 sec) Clustered ROM            : DEBUG           -> Training segment 302 slice(7248, 7272, None)
(   28.50 sec) ARMA                     : DEBUG           -> Training...
(   28.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.50 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.50 sec) Clustered ROM            : DEBUG           -> Training segment 303 slice(7272, 7296, None)
(   28.50 sec) ARMA                     : DEBUG           -> Training...
(   28.50 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.50 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.50 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.50 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.50 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.51 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.51 sec) Clustered ROM            : DEBUG           -> Training segment 304 slice(7296, 7320, None)
(   28.51 sec) ARMA                     : DEBUG           -> Training...
(   28.51 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.51 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.51 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.51 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.51 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.53 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.53 sec) Clustered ROM            : DEBUG           -> Training segment 305 slice(7320, 7344, None)
(   28.53 sec) ARMA                     : DEBUG           -> Training...
(   28.53 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.53 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.53 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.53 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.53 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.56 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.56 sec) Clustered ROM            : DEBUG           -> Training segment 306 slice(7344, 7368, None)
(   28.56 sec) ARMA                     : DEBUG           -> Training...
(   28.56 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.56 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.56 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.56 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.56 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.57 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.57 sec) Clustered ROM            : DEBUG           -> Training segment 307 slice(7368, 7392, None)
(   28.57 sec) ARMA                     : DEBUG           -> Training...
(   28.57 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.57 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.57 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.57 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.57 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.58 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.59 sec) Clustered ROM            : DEBUG           -> Training segment 308 slice(7392, 7416, None)
(   28.59 sec) ARMA                     : DEBUG           -> Training...
(   28.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.59 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.59 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.59 sec) Clustered ROM            : DEBUG           -> Training segment 309 slice(7416, 7440, None)
(   28.59 sec) ARMA                     : DEBUG           -> Training...
(   28.59 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.59 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.59 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.59 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.60 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.62 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.62 sec) Clustered ROM            : DEBUG           -> Training segment 310 slice(7440, 7464, None)
(   28.62 sec) ARMA                     : DEBUG           -> Training...
(   28.62 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.62 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.62 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.62 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.62 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.64 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.64 sec) Clustered ROM            : DEBUG           -> Training segment 311 slice(7464, 7488, None)
(   28.64 sec) ARMA                     : DEBUG           -> Training...
(   28.64 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.64 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.64 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.64 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.64 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.65 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.65 sec) Clustered ROM            : DEBUG           -> Training segment 312 slice(7488, 7512, None)
(   28.65 sec) ARMA                     : DEBUG           -> Training...
(   28.65 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.65 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.65 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.66 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.66 sec) Clustered ROM            : DEBUG           -> Training segment 313 slice(7512, 7536, None)
(   28.66 sec) ARMA                     : DEBUG           -> Training...
(   28.66 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.66 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.66 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.66 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.66 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.70 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.70 sec) Clustered ROM            : DEBUG           -> Training segment 314 slice(7536, 7560, None)
(   28.70 sec) ARMA                     : DEBUG           -> Training...
(   28.70 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.70 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.70 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.70 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.70 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.73 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.73 sec) Clustered ROM            : DEBUG           -> Training segment 315 slice(7560, 7584, None)
(   28.73 sec) ARMA                     : DEBUG           -> Training...
(   28.73 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.73 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.73 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.73 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.73 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.74 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.74 sec) Clustered ROM            : DEBUG           -> Training segment 316 slice(7584, 7608, None)
(   28.74 sec) ARMA                     : DEBUG           -> Training...
(   28.74 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.74 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.74 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.74 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.74 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.75 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.75 sec) Clustered ROM            : DEBUG           -> Training segment 317 slice(7608, 7632, None)
(   28.75 sec) ARMA                     : DEBUG           -> Training...
(   28.75 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.75 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.75 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.75 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.75 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.76 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.76 sec) Clustered ROM            : DEBUG           -> Training segment 318 slice(7632, 7656, None)
(   28.76 sec) ARMA                     : DEBUG           -> Training...
(   28.76 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.76 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.76 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.76 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.76 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.77 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.77 sec) Clustered ROM            : DEBUG           -> Training segment 319 slice(7656, 7680, None)
(   28.77 sec) ARMA                     : DEBUG           -> Training...
(   28.77 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.77 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.77 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.77 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.77 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.78 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.78 sec) Clustered ROM            : DEBUG           -> Training segment 320 slice(7680, 7704, None)
(   28.78 sec) ARMA                     : DEBUG           -> Training...
(   28.78 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.78 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.78 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.78 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.79 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.80 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.80 sec) Clustered ROM            : DEBUG           -> Training segment 321 slice(7704, 7728, None)
(   28.80 sec) ARMA                     : DEBUG           -> Training...
(   28.80 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.80 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.80 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.80 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.80 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.81 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.81 sec) Clustered ROM            : DEBUG           -> Training segment 322 slice(7728, 7752, None)
(   28.81 sec) ARMA                     : DEBUG           -> Training...
(   28.81 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.81 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.81 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.81 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.81 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.82 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.82 sec) Clustered ROM            : DEBUG           -> Training segment 323 slice(7752, 7776, None)
(   28.82 sec) ARMA                     : DEBUG           -> Training...
(   28.82 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.82 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.82 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.82 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.82 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.83 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.83 sec) Clustered ROM            : DEBUG           -> Training segment 324 slice(7776, 7800, None)
(   28.83 sec) ARMA                     : DEBUG           -> Training...
(   28.83 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.83 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.83 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.83 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.83 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.84 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.84 sec) Clustered ROM            : DEBUG           -> Training segment 325 slice(7800, 7824, None)
(   28.84 sec) ARMA                     : DEBUG           -> Training...
(   28.84 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.84 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.84 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.84 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.84 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.85 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.85 sec) Clustered ROM            : DEBUG           -> Training segment 326 slice(7824, 7848, None)
(   28.85 sec) ARMA                     : DEBUG           -> Training...
(   28.85 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.85 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.85 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.85 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.85 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.86 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.86 sec) Clustered ROM            : DEBUG           -> Training segment 327 slice(7848, 7872, None)
(   28.86 sec) ARMA                     : DEBUG           -> Training...
(   28.86 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.86 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.86 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.86 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.86 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.90 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.90 sec) Clustered ROM            : DEBUG           -> Training segment 328 slice(7872, 7896, None)
(   28.90 sec) ARMA                     : DEBUG           -> Training...
(   28.90 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.90 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.90 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.90 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.90 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.91 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.91 sec) Clustered ROM            : DEBUG           -> Training segment 329 slice(7896, 7920, None)
(   28.91 sec) ARMA                     : DEBUG           -> Training...
(   28.91 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.91 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.91 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.91 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.91 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.92 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.92 sec) Clustered ROM            : DEBUG           -> Training segment 330 slice(7920, 7944, None)
(   28.92 sec) ARMA                     : DEBUG           -> Training...
(   28.92 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.92 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.92 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.92 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.92 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.94 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.94 sec) Clustered ROM            : DEBUG           -> Training segment 331 slice(7944, 7968, None)
(   28.94 sec) ARMA                     : DEBUG           -> Training...
(   28.94 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.94 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.94 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.94 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.94 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.95 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.95 sec) Clustered ROM            : DEBUG           -> Training segment 332 slice(7968, 7992, None)
(   28.95 sec) ARMA                     : DEBUG           -> Training...
(   28.95 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.95 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.95 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.95 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.95 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.96 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.96 sec) Clustered ROM            : DEBUG           -> Training segment 333 slice(7992, 8016, None)
(   28.96 sec) ARMA                     : DEBUG           -> Training...
(   28.96 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.96 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.96 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.96 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.96 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   28.97 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   28.97 sec) Clustered ROM            : DEBUG           -> Training segment 334 slice(8016, 8040, None)
(   28.97 sec) ARMA                     : DEBUG           -> Training...
(   28.97 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   28.97 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   28.97 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   28.97 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   28.97 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.00 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.00 sec) Clustered ROM            : DEBUG           -> Training segment 335 slice(8040, 8064, None)
(   29.00 sec) ARMA                     : DEBUG           -> Training...
(   29.00 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.00 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.00 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.00 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.00 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.01 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.01 sec) Clustered ROM            : DEBUG           -> Training segment 336 slice(8064, 8088, None)
(   29.01 sec) ARMA                     : DEBUG           -> Training...
(   29.01 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.01 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.01 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.01 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.01 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.02 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.02 sec) Clustered ROM            : DEBUG           -> Training segment 337 slice(8088, 8112, None)
(   29.02 sec) ARMA                     : DEBUG           -> Training...
(   29.02 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.02 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.02 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.02 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.03 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.05 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.05 sec) Clustered ROM            : DEBUG           -> Training segment 338 slice(8112, 8136, None)
(   29.05 sec) ARMA                     : DEBUG           -> Training...
(   29.05 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.05 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.05 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.05 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.05 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.07 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.07 sec) Clustered ROM            : DEBUG           -> Training segment 339 slice(8136, 8160, None)
(   29.07 sec) ARMA                     : DEBUG           -> Training...
(   29.07 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.07 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.07 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.07 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.07 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.09 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.09 sec) Clustered ROM            : DEBUG           -> Training segment 340 slice(8160, 8184, None)
(   29.09 sec) ARMA                     : DEBUG           -> Training...
(   29.09 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.09 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.09 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.09 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.09 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.10 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.10 sec) Clustered ROM            : DEBUG           -> Training segment 341 slice(8184, 8208, None)
(   29.10 sec) ARMA                     : DEBUG           -> Training...
(   29.10 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.10 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.10 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.10 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.10 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.11 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.11 sec) Clustered ROM            : DEBUG           -> Training segment 342 slice(8208, 8232, None)
(   29.11 sec) ARMA                     : DEBUG           -> Training...
(   29.11 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.11 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.11 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.11 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.11 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.14 sec) Clustered ROM            : DEBUG           -> Training segment 343 slice(8232, 8256, None)
(   29.14 sec) ARMA                     : DEBUG           -> Training...
(   29.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.14 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.14 sec) Clustered ROM            : DEBUG           -> Training segment 344 slice(8256, 8280, None)
(   29.14 sec) ARMA                     : DEBUG           -> Training...
(   29.14 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.14 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.14 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.14 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.14 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.16 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.16 sec) Clustered ROM            : DEBUG           -> Training segment 345 slice(8280, 8304, None)
(   29.16 sec) ARMA                     : DEBUG           -> Training...
(   29.16 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.16 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.16 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.16 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.16 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.17 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.17 sec) Clustered ROM            : DEBUG           -> Training segment 346 slice(8304, 8328, None)
(   29.17 sec) ARMA                     : DEBUG           -> Training...
(   29.17 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.17 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.17 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.17 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.17 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.18 sec) Clustered ROM            : DEBUG           -> Training segment 347 slice(8328, 8352, None)
(   29.18 sec) ARMA                     : DEBUG           -> Training...
(   29.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.18 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.18 sec) Clustered ROM            : DEBUG           -> Training segment 348 slice(8352, 8376, None)
(   29.18 sec) ARMA                     : DEBUG           -> Training...
(   29.18 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.18 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.18 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.18 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.18 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.20 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.20 sec) Clustered ROM            : DEBUG           -> Training segment 349 slice(8376, 8400, None)
(   29.20 sec) ARMA                     : DEBUG           -> Training...
(   29.20 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.20 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.20 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.20 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.20 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.21 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.21 sec) Clustered ROM            : DEBUG           -> Training segment 350 slice(8400, 8424, None)
(   29.21 sec) ARMA                     : DEBUG           -> Training...
(   29.21 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.21 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.21 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.21 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.21 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.22 sec) Clustered ROM            : DEBUG           -> Training segment 351 slice(8424, 8448, None)
(   29.22 sec) ARMA                     : DEBUG           -> Training...
(   29.22 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.22 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.22 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.22 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.22 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.22 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.23 sec) Clustered ROM            : DEBUG           -> Training segment 352 slice(8448, 8472, None)
(   29.23 sec) ARMA                     : DEBUG           -> Training...
(   29.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.23 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.23 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.23 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.23 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.23 sec) Clustered ROM            : DEBUG           -> Training segment 353 slice(8472, 8496, None)
(   29.23 sec) ARMA                     : DEBUG           -> Training...
(   29.23 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.23 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.24 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.24 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.24 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.25 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.25 sec) Clustered ROM            : DEBUG           -> Training segment 354 slice(8496, 8520, None)
(   29.25 sec) ARMA                     : DEBUG           -> Training...
(   29.25 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.25 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.25 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.25 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.25 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.26 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.26 sec) Clustered ROM            : DEBUG           -> Training segment 355 slice(8520, 8544, None)
(   29.26 sec) ARMA                     : DEBUG           -> Training...
(   29.26 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.26 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.26 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.26 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.26 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.27 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.27 sec) Clustered ROM            : DEBUG           -> Training segment 356 slice(8544, 8568, None)
(   29.27 sec) ARMA                     : DEBUG           -> Training...
(   29.27 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.27 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.27 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.27 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.27 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.28 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.28 sec) Clustered ROM            : DEBUG           -> Training segment 357 slice(8568, 8592, None)
(   29.28 sec) ARMA                     : DEBUG           -> Training...
(   29.28 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.28 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.28 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.28 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.28 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.29 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.29 sec) Clustered ROM            : DEBUG           -> Training segment 358 slice(8592, 8616, None)
(   29.29 sec) ARMA                     : DEBUG           -> Training...
(   29.29 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.29 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.29 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.29 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.29 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.30 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.30 sec) Clustered ROM            : DEBUG           -> Training segment 359 slice(8616, 8640, None)
(   29.30 sec) ARMA                     : DEBUG           -> Training...
(   29.30 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.30 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.30 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.30 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.31 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.31 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.32 sec) Clustered ROM            : DEBUG           -> Training segment 360 slice(8640, 8664, None)
(   29.32 sec) ARMA                     : DEBUG           -> Training...
(   29.32 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.32 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.32 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.32 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.32 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.34 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.34 sec) Clustered ROM            : DEBUG           -> Training segment 361 slice(8664, 8688, None)
(   29.34 sec) ARMA                     : DEBUG           -> Training...
(   29.34 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.34 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.34 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.34 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.34 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.37 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.37 sec) Clustered ROM            : DEBUG           -> Training segment 362 slice(8688, 8712, None)
(   29.37 sec) ARMA                     : DEBUG           -> Training...
(   29.37 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.37 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.37 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.37 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.37 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.38 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.38 sec) Clustered ROM            : DEBUG           -> Training segment 363 slice(8712, 8736, None)
(   29.38 sec) ARMA                     : DEBUG           -> Training...
(   29.38 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.38 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.38 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.38 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.38 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.39 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.39 sec) Clustered ROM            : DEBUG           -> Training segment 364 slice(8736, 8760, None)
(   29.39 sec) ARMA                     : DEBUG           -> Training...
(   29.39 sec) ARMA                     : DEBUG           -> ... gathering pivot values ...
(   29.39 sec) ARMA                     : DEBUG           -> ... analyzing Fourier signal  for target "price" ...
(   29.39 sec) ARMA                     : DEBUG           -> Fourier fitting condition number is 1.0e+00.  Calculating all Fourier coefficients at once.
(   29.40 sec) ARMA                     : DEBUG           -> ... analyzing ARMA properties for target "price" ...
(   29.40 sec) ARMA                     : DEBUG           -> ... ... training "price"...
(   29.40 sec) ARMA                     : DEBUG           -> ... ... finished training target "price"
(   29.45 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   29.45 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   29.49 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   29.49 sec) Interp. Cluster ROM      : DEBUG           ->   Statepoints trained
(   32.98 sec) Interp. Cluster ROM      : DEBUG           -> Interpolator trained
(   32.98 sec) Interp. Cluster ROM      : DEBUG           -> Year 2018 is a statepoint, so no interpolation needed.
(   32.98 sec) Interp. Cluster ROM      : DEBUG           -> Year 2019 is a statepoint, so no interpolation needed.
(   32.98 sec) Interp. Cluster ROM      : DEBUG           -> Year 2020 is a statepoint, so no interpolation needed.
(   32.98 sec) Interp. Cluster ROM      : DEBUG           -> Year 2021 is a statepoint, so no interpolation needed.
(   32.98 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2022
(   33.98 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   33.98 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   34.01 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   34.01 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2023
(   34.98 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   34.98 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   35.02 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   35.02 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2024
(   36.11 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   36.11 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   36.15 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   36.15 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2025
(   37.10 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   37.10 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   37.13 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   37.13 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2026
(   38.13 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   38.13 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   38.16 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   38.16 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2027
(   39.17 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   39.17 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   39.21 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   39.21 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2028
(   40.18 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   40.18 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   40.21 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   40.21 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2029
(   41.35 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   41.35 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   41.38 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   41.38 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2030
(   42.43 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   42.43 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   42.46 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   42.46 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2031
(   43.51 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   43.51 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   43.55 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   43.55 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2032
(   44.54 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   44.54 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   44.57 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   44.57 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2033
(   45.59 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   45.59 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   45.62 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   45.62 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2034
(   47.01 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   47.01 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   47.11 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   47.11 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2035
(   50.22 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   50.22 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   50.32 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   50.32 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2036
(   53.28 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   53.28 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   53.38 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   53.38 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2037
(   56.39 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   56.39 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   56.47 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   56.48 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2038
(   59.44 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   59.44 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   59.53 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   59.53 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2039
(   62.65 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   62.65 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   62.73 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   62.74 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2040
(   65.71 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   65.71 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   65.79 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   65.80 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2041
(   68.71 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   68.71 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   68.79 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   68.80 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2042
(   71.77 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   71.77 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   71.85 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   71.85 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2043
(   74.78 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   74.78 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   74.88 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   74.88 sec) Interp. Cluster ROM      : DEBUG           -> Interpolating year 2044
(   78.01 sec) SCIKITLEARN              : Warning         -> Features for learning engine type "SCIKITLEARN" have been reset, so ROM is untrained!
(   78.01 sec) SCIKITLEARN              : Warning         ->  The ground truth labels are not known a priori
(   78.09 sec) Clustered ROM            : Message         -> Identified 20 clusters while training clustered ROM "arma".
(   78.12 sec) STEP ROM TRAINER         : Message         -> ***       Run finished        ***
(   78.12 sec) STEP ROM TRAINER         : Message         -> ***     Closing the step      ***
(   78.12 sec) STEP ROM TRAINER         : Message         -> ***        Step closed        ***
(   78.12 sec) SIMULATION               : Message         -> -- End step train of type: RomTrainer --

(   78.12 sec) SIMULATION               : Message         -> -- Beginning IOStep step "meta" ... --
(   78.12 sec) STEP IOCOMBINED          : Message         -> ***  Beginning initialization ***
(   78.12 sec) STEP IOCOMBINED          : DEBUG           -> jobHandler initialized
(   78.12 sec) STEP IOCOMBINED          : DEBUG           -> for the role Output the item of class Print and name romMeta has been initialized
(   78.12 sec) STEP IOCOMBINED          : Message         -> ***    Initialization done    ***
(   78.12 sec) STEP IOCOMBINED          : Message         -> ***       Beginning run       ***
(   78.41 sec) STEP IOCOMBINED          : DEBUG           -> Adding meta "arma" to output "meta"
(   78.41 sec) DataSet                  : Warning         -> Nothing to write to CSV! Checking metadata ...
(   78.41 sec) DataSet                  : DEBUG           -> Printing metadata XML: "romMeta.xml"
(   78.58 sec) STEP IOCOMBINED          : Message         -> ***       Run finished        ***
(   78.58 sec) STEP IOCOMBINED          : Message         -> ***     Closing the step      ***
(   78.58 sec) STEP IOCOMBINED          : Message         -> ***        Step closed        ***
(   78.58 sec) SIMULATION               : Message         -> -- End step meta of type: IOStep --

(   78.58 sec) SIMULATION               : Message         -> -- Beginning IOStep step "serialize" ... --
(   78.59 sec) STEP IOCOMBINED          : Message         -> ***  Beginning initialization ***
(   78.59 sec) STEP IOCOMBINED          : DEBUG           -> jobHandler initialized
(   78.59 sec) STEP IOCOMBINED          : Message         -> ***    Initialization done    ***
(   78.59 sec) STEP IOCOMBINED          : Message         -> ***       Beginning run       ***
(   79.73 sec) STEP IOCOMBINED          : Message         -> ***       Run finished        ***
(   79.73 sec) STEP IOCOMBINED          : Message         -> ***     Closing the step      ***
(   79.73 sec) STEP IOCOMBINED          : Message         -> ***        Step closed        ***
(   79.73 sec) SIMULATION               : Message         -> -- End step serialize of type: IOStep --

(   79.73 sec) SIMULATION               : Message         -> -- Beginning MultiRun step "sample" ... --
(   79.73 sec) STEP MULTIRUN            : Message         -> ***  Beginning initialization ***
(   79.73 sec) STEP MULTIRUN            : DEBUG           -> jobHandler initialized
(   79.73 sec) STEP MULTIRUN            : DEBUG           -> for the role Model, the item of class ROM and name arma has been initialized
(   79.73 sec) STEP MULTIRUN            : DEBUG           -> for the role Output the item of class Print and name test2 has been initialized
(   79.73 sec) STEP MULTIRUN            : DEBUG           -> for the role Output the item of class DataSet and name synthetic has been initialized
(   79.73 sec) STEP MULTIRUN            : DEBUG           -> for the role Output the item of class Print and name synthetic has been initialized
(   79.73 sec) SAMPLER MONTECARLO       : Message         -> No restart for SAMPLER MONTECARLO
(   79.73 sec) STEP MULTIRUN            : DEBUG           -> for the role of sampler the item of class MonteCarlo and name mc has been initialized
(   79.73 sec) STEP MULTIRUN            : DEBUG           -> Sampler initialization dictionary: {'externalSeeding': None}
(   79.73 sec) STEP MULTIRUN            : DEBUG           -> Generating input batch of size 1
(   79.73 sec) SAMPLER MONTECARLO       : DEBUG           -> Sampling limit reached!
(   79.73 sec) SAMPLER MONTECARLO       : DEBUG           ->  ... Sample point 1: {'scaling': 1}
(   79.73 sec) STEP MULTIRUN            : DEBUG           -> Submitted input 1
(   79.73 sec) STEP MULTIRUN            : Message         -> ***    Initialization done    ***
(   79.73 sec) STEP MULTIRUN            : Message         -> ***       Beginning run       ***
(   79.74 sec) Interp. Cluster ROM      : DEBUG           -> Evaluating interpolated ROM ...
(   79.74 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2018" (1 / 28)
(   79.74 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   79.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   79.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   79.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   79.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   79.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   79.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   79.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   79.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   79.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   79.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   79.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   79.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   79.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   79.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   79.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   79.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   79.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   79.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   79.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   79.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   79.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   79.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   79.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   79.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   79.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   79.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   79.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   79.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   79.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   79.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   79.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   79.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   79.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   79.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   79.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   79.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   79.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   79.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   79.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   79.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   79.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   79.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   79.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   79.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   79.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   79.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   79.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   79.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   79.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   79.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   79.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   79.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   79.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   79.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   79.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   79.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   79.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   79.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   79.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   79.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   79.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   79.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   79.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   79.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   79.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   79.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   79.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   79.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   79.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   79.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   79.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   79.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   79.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   79.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   79.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   79.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   79.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   79.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   79.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   79.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   79.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   79.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   79.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   79.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   79.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   79.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   79.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   79.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   79.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   79.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   79.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   79.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   79.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   79.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   79.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   79.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   79.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   79.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   79.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   79.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   79.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   79.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   79.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   79.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   79.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   79.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   79.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   79.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   79.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   79.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   79.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   79.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   79.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   79.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   79.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   79.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   79.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   79.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   79.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   79.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   79.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   79.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   79.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   79.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   79.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   79.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   79.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   79.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   79.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   79.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   79.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   79.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   79.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   79.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   79.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   79.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   79.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   79.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   79.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   79.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   80.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   80.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   80.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   80.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   80.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   80.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   80.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   80.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   80.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   80.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   80.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   80.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   80.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   80.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   80.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   80.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   80.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   80.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   80.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   80.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   80.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   80.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   80.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   80.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   80.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   80.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   80.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   80.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   80.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   80.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   80.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   80.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   80.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   80.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   80.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   80.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   80.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   80.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   80.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   80.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   80.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   80.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   80.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   80.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   80.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   80.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   80.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   80.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   80.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   80.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   80.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   80.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   80.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   80.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   80.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   80.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   80.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   80.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   80.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   80.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   80.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   80.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   80.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   80.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   80.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   80.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   80.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   80.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   80.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   80.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   80.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   80.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   80.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   80.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   80.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   80.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   80.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   80.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   80.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   80.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   80.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   80.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   80.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   80.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   80.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   80.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   80.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   80.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   80.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   80.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   80.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   80.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   80.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   80.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   80.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   80.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   80.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   80.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   80.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   80.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   80.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   80.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   80.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   80.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   80.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   80.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   80.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   80.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   80.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   80.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   80.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   80.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   80.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   80.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   80.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   80.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   80.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   80.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   80.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   80.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   80.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   80.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   80.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   80.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   80.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   80.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   80.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   80.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   80.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   80.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   80.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   80.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   80.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   80.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   80.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   80.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   80.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   80.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   80.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   80.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   80.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   80.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   80.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   80.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   80.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   80.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   80.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   80.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   80.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   80.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   80.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   80.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   80.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   80.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   80.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   80.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   80.28 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2019" (2 / 28)
(   80.28 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   80.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   80.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   80.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   80.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   80.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   80.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   80.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   80.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   80.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   80.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   80.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   80.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   80.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   80.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   80.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   80.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   80.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   80.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   80.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   80.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   80.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   80.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   80.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   80.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   80.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   80.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   80.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   80.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   80.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   80.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   80.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   80.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   80.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   80.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   80.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   80.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   80.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   80.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   80.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   80.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   80.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   80.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   80.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   80.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   80.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   80.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   80.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   80.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   80.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   80.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   80.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   80.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   80.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   80.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   80.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   80.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   80.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   80.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   80.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   80.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   80.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   80.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   80.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   80.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   80.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   80.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   80.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   80.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   80.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   80.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   80.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   80.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   80.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   80.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   80.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   80.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   80.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   80.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   80.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   80.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   80.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   80.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   80.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   80.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   80.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   80.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   80.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   80.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   80.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   80.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   80.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   80.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   80.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   80.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   80.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   80.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   80.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   80.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   80.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   80.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   80.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   80.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   80.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   80.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   80.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   80.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   80.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   80.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   80.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   80.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   80.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   80.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   80.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   80.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   80.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   80.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   80.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   80.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   80.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   80.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   80.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   80.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   80.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   80.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   80.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   80.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   80.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   80.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   80.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   80.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   80.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   80.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   80.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   80.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   80.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   80.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   80.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   80.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   80.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   80.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   80.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   80.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   80.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   80.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   80.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   80.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   80.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   80.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   80.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   80.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   80.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   80.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   80.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   80.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   80.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   80.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   80.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   80.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   80.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   80.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   80.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   80.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   80.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   80.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   80.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   80.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   80.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   80.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   80.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   80.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   80.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   80.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   80.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   80.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   80.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   80.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   80.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   80.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   80.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   80.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   80.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   80.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   80.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   80.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   80.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   80.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   80.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   80.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   80.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   80.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   80.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   80.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   80.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   80.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   80.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   80.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   80.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   80.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   80.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   80.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   80.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   80.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   80.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   80.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   80.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   80.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   80.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   80.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   80.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   80.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   80.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   80.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   80.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   80.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   80.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   80.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   80.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   80.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   80.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   80.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   80.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   80.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   80.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   80.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   80.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   80.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   80.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   80.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   80.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   80.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   80.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   80.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   80.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   80.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   80.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   80.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   80.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   80.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   80.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   80.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   80.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   80.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   80.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   80.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   80.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   80.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   80.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   80.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   80.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   80.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   80.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   80.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   80.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   80.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   80.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   80.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   80.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   80.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   80.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   80.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   80.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   80.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   80.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   80.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   80.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   80.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   80.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   80.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   80.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   80.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   80.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   80.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   80.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   80.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   80.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   80.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   80.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   80.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   80.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   80.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   80.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   80.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   80.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   80.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   80.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   80.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   80.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   80.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   80.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   80.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   80.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   80.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   80.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   80.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   80.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   80.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   80.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   80.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   80.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   80.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   80.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   80.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   80.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   80.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   80.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   80.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   80.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   80.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   80.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   80.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   80.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   80.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   80.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   80.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   80.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   80.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   80.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   80.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   80.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   80.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   80.84 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2020" (3 / 28)
(   80.84 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   80.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   80.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   80.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   80.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   80.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   80.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   80.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   80.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   80.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   80.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   80.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   80.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   80.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   80.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   80.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   80.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   80.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   80.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   80.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   80.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   80.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   80.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   80.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   80.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   80.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   80.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   80.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   80.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   80.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   80.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   80.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   80.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   80.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   80.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   80.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   80.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   80.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   80.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   80.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   80.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   80.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   80.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   80.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   80.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   80.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   80.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   80.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   80.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   80.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   80.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   80.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   80.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   80.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   80.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   80.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   80.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   80.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   80.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   80.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   80.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   80.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   80.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   80.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   80.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   80.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   80.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   80.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   80.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   80.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   80.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   80.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   80.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   80.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   80.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   80.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   80.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   80.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   80.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   80.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   80.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   80.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   80.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   80.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   80.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   80.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   80.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   80.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   80.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   80.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   80.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   80.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   81.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   81.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   81.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   81.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   81.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   81.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   81.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   81.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   81.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   81.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   81.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   81.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   81.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   81.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   81.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   81.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   81.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   81.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   81.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   81.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   81.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   81.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   81.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   81.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   81.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   81.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   81.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   81.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   81.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   81.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   81.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   81.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   81.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   81.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   81.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   81.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   81.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   81.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   81.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   81.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   81.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   81.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   81.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   81.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   81.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   81.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   81.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   81.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   81.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   81.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   81.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   81.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   81.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   81.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   81.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   81.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   81.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   81.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   81.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   81.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   81.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   81.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   81.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   81.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   81.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   81.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   81.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   81.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   81.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   81.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   81.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   81.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   81.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   81.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   81.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   81.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   81.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   81.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   81.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   81.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   81.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   81.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   81.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   81.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   81.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   81.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   81.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   81.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   81.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   81.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   81.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   81.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   81.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   81.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   81.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   81.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   81.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   81.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   81.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   81.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   81.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   81.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   81.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   81.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   81.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   81.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   81.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   81.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   81.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   81.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   81.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   81.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   81.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   81.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   81.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   81.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   81.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   81.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   81.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   81.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   81.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   81.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   81.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   81.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   81.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   81.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   81.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   81.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   81.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   81.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   81.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   81.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   81.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   81.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   81.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   81.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   81.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   81.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   81.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   81.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   81.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   81.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   81.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   81.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   81.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   81.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   81.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   81.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   81.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   81.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   81.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   81.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   81.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   81.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   81.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   81.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   81.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   81.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   81.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   81.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   81.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   81.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   81.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   81.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   81.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   81.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   81.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   81.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   81.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   81.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   81.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   81.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   81.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   81.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   81.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   81.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   81.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   81.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   81.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   81.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   81.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   81.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   81.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   81.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   81.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   81.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   81.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   81.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   81.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   81.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   81.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   81.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   81.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   81.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   81.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   81.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   81.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   81.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   81.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   81.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   81.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   81.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   81.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   81.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   81.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   81.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   81.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   81.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   81.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   81.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   81.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   81.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   81.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   81.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   81.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   81.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   81.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   81.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   81.36 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2021" (4 / 28)
(   81.36 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   81.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   81.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   81.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   81.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   81.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   81.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   81.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   81.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   81.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   81.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   81.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   81.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   81.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   81.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   81.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   81.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   81.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   81.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   81.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   81.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   81.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   81.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   81.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   81.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   81.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   81.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   81.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   81.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   81.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   81.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   81.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   81.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   81.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   81.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   81.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   81.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   81.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   81.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   81.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   81.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   81.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   81.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   81.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   81.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   81.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   81.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   81.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   81.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   81.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   81.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   81.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   81.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   81.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   81.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   81.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   81.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   81.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   81.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   81.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   81.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   81.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   81.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   81.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   81.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   81.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   81.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   81.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   81.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   81.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   81.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   81.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   81.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   81.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   81.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   81.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   81.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   81.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   81.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   81.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   81.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   81.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   81.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   81.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   81.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   81.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   81.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   81.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   81.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   81.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   81.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   81.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   81.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   81.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   81.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   81.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   81.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   81.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   81.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   81.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   81.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   81.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   81.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   81.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   81.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   81.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   81.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   81.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   81.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   81.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   81.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   81.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   81.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   81.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   81.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   81.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   81.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   81.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   81.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   81.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   81.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   81.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   81.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   81.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   81.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   81.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   81.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   81.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   81.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   81.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   81.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   81.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   81.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   81.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   81.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   81.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   81.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   81.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   81.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   81.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   81.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   81.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   81.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   81.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   81.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   81.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   81.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   81.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   81.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   81.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   81.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   81.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   81.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   81.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   81.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   81.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   81.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   81.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   81.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   81.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   81.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   81.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   81.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   81.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   81.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   81.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   81.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   81.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   81.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   81.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   81.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   81.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   81.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   81.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   81.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   81.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   81.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   81.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   81.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   81.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   81.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   81.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   81.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   81.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   81.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   81.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   81.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   81.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   81.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   81.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   81.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   81.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   81.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   81.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   81.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   81.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   81.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   81.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   81.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   81.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   81.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   81.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   81.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   81.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   81.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   81.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   81.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   81.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   81.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   81.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   81.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   81.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   81.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   81.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   81.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   81.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   81.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   81.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   81.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   81.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   81.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   81.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   81.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   81.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   81.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   81.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   81.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   81.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   81.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   81.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   81.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   81.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   81.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   81.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   81.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   81.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   81.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   81.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   81.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   81.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   81.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   81.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   81.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   81.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   81.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   81.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   81.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   81.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   81.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   81.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   81.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   81.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   81.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   81.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   81.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   81.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   81.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   81.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   81.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   81.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   81.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   81.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   81.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   81.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   81.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   81.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   81.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   81.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   81.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   81.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   81.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   81.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   81.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   81.87 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2022" (5 / 28)
(   81.88 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   81.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   81.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   81.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   81.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   81.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   81.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   81.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   81.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   81.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   81.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   81.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   81.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   81.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   81.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   81.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   81.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   81.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   81.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   81.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   81.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   81.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   81.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   81.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   81.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   81.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   81.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   81.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   81.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   81.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   81.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   81.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   81.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   81.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   81.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   81.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   81.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   81.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   81.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   81.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   81.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   81.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   81.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   81.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   81.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   81.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   81.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   81.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   81.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   81.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   81.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   81.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   81.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   81.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   81.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   81.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   81.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   81.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   81.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   81.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   81.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   81.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   81.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   81.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   81.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   81.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   81.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   81.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   81.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   81.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   81.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   81.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   82.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   82.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   82.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   82.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   82.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   82.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   82.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   82.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   82.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   82.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   82.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   82.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   82.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   82.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   82.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   82.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   82.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   82.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   82.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   82.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   82.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   82.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   82.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   82.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   82.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   82.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   82.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   82.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   82.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   82.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   82.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   82.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   82.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   82.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   82.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   82.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   82.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   82.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   82.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   82.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   82.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   82.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   82.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   82.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   82.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   82.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   82.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   82.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   82.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   82.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   82.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   82.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   82.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   82.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   82.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   82.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   82.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   82.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   82.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   82.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   82.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   82.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   82.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   82.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   82.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   82.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   82.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   82.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   82.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   82.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   82.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   82.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   82.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   82.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   82.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   82.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   82.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   82.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   82.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   82.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   82.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   82.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   82.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   82.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   82.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   82.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   82.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   82.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   82.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   82.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   82.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   82.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   82.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   82.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   82.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   82.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   82.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   82.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   82.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   82.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   82.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   82.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   82.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   82.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   82.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   82.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   82.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   82.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   82.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   82.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   82.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   82.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   82.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   82.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   82.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   82.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   82.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   82.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   82.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   82.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   82.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   82.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   82.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   82.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   82.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   82.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   82.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   82.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   82.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   82.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   82.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   82.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   82.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   82.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   82.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   82.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   82.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   82.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   82.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   82.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   82.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   82.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   82.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   82.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   82.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   82.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   82.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   82.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   82.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   82.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   82.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   82.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   82.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   82.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   82.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   82.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   82.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   82.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   82.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   82.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   82.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   82.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   82.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   82.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   82.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   82.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   82.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   82.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   82.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   82.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   82.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   82.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   82.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   82.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   82.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   82.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   82.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   82.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   82.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   82.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   82.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   82.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   82.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   82.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   82.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   82.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   82.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   82.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   82.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   82.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   82.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   82.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   82.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   82.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   82.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   82.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   82.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   82.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   82.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   82.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   82.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   82.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   82.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   82.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   82.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   82.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   82.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   82.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   82.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   82.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   82.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   82.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   82.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   82.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   82.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   82.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   82.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   82.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   82.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   82.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   82.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   82.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   82.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   82.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   82.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   82.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   82.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   82.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   82.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   82.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   82.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   82.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   82.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   82.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   82.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   82.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   82.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   82.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   82.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   82.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   82.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   82.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   82.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   82.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   82.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   82.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   82.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   82.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   82.41 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2023" (6 / 28)
(   82.41 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   82.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   82.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   82.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   82.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   82.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   82.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   82.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   82.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   82.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   82.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   82.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   82.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   82.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   82.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   82.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   82.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   82.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   82.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   82.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   82.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   82.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   82.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   82.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   82.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   82.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   82.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   82.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   82.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   82.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   82.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   82.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   82.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   82.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   82.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   82.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   82.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   82.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   82.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   82.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   82.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   82.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   82.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   82.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   82.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   82.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   82.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   82.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   82.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   82.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   82.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   82.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   82.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   82.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   82.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   82.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   82.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   82.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   82.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   82.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   82.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   82.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   82.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   82.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   82.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   82.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   82.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   82.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   82.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   82.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   82.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   82.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   82.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   82.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   82.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   82.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   82.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   82.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   82.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   82.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   82.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   82.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   82.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   82.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   82.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   82.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   82.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   82.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   82.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   82.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   82.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   82.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   82.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   82.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   82.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   82.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   82.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   82.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   82.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   82.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   82.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   82.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   82.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   82.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   82.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   82.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   82.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   82.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   82.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   82.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   82.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   82.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   82.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   82.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   82.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   82.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   82.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   82.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   82.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   82.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   82.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   82.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   82.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   82.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   82.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   82.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   82.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   82.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   82.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   82.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   82.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   82.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   82.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   82.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   82.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   82.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   82.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   82.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   82.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   82.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   82.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   82.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   82.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   82.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   82.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   82.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   82.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   82.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   82.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   82.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   82.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   82.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   82.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   82.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   82.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   82.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   82.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   82.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   82.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   82.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   82.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   82.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   82.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   82.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   82.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   82.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   82.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   82.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   82.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   82.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   82.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   82.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   82.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   82.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   82.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   82.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   82.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   82.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   82.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   82.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   82.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   82.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   82.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   82.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   82.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   82.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   82.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   82.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   82.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   82.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   82.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   82.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   82.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   82.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   82.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   82.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   82.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   82.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   82.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   82.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   82.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   82.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   82.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   82.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   82.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   82.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   82.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   82.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   82.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   82.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   82.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   82.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   82.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   82.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   82.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   82.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   82.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   82.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   82.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   82.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   82.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   82.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   82.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   82.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   82.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   82.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   82.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   82.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   82.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   82.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   82.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   82.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   82.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   82.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   82.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   82.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   82.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   82.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   82.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   82.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   82.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   82.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   82.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   82.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   82.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   82.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   82.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   82.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   82.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   82.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   82.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   82.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   82.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   82.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   82.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   82.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   82.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   82.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   82.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   82.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   82.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   82.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   82.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   82.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   82.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   82.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   82.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   82.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   82.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   82.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   82.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   82.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   82.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   82.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   82.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   82.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   82.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   82.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   82.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   82.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   82.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   82.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   82.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   82.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   82.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   82.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   82.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   82.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   82.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   82.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   82.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   82.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   82.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   82.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   82.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   82.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   82.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   82.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   82.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   82.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   82.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   82.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   82.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   82.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   82.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   82.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   82.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   82.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   82.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   82.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   82.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   82.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   82.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   82.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   82.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   82.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   82.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   82.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   82.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   82.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   82.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   82.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   82.93 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2024" (7 / 28)
(   82.93 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   82.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   82.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   82.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   82.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   82.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   82.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   82.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   82.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   82.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   82.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   82.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   82.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   82.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   82.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   82.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   82.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   82.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   82.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   82.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   82.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   82.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   82.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   82.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   82.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   82.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   82.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   82.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   82.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   82.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   82.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   82.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   82.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   82.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   82.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   82.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   82.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   82.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   82.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   82.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   82.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   82.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   82.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   82.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   82.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   82.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   83.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   83.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   83.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   83.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   83.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   83.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   83.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   83.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   83.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   83.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   83.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   83.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   83.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   83.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   83.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   83.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   83.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   83.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   83.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   83.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   83.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   83.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   83.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   83.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   83.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   83.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   83.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   83.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   83.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   83.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   83.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   83.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   83.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   83.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   83.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   83.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   83.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   83.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   83.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   83.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   83.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   83.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   83.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   83.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   83.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   83.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   83.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   83.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   83.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   83.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   83.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   83.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   83.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   83.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   83.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   83.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   83.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   83.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   83.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   83.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   83.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   83.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   83.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   83.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   83.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   83.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   83.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   83.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   83.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   83.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   83.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   83.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   83.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   83.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   83.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   83.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   83.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   83.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   83.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   83.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   83.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   83.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   83.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   83.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   83.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   83.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   83.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   83.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   83.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   83.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   83.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   83.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   83.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   83.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   83.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   83.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   83.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   83.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   83.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   83.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   83.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   83.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   83.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   83.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   83.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   83.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   83.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   83.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   83.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   83.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   83.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   83.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   83.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   83.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   83.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   83.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   83.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   83.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   83.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   83.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   83.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   83.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   83.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   83.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   83.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   83.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   83.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   83.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   83.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   83.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   83.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   83.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   83.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   83.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   83.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   83.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   83.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   83.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   83.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   83.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   83.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   83.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   83.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   83.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   83.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   83.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   83.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   83.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   83.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   83.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   83.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   83.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   83.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   83.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   83.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   83.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   83.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   83.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   83.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   83.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   83.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   83.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   83.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   83.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   83.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   83.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   83.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   83.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   83.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   83.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   83.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   83.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   83.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   83.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   83.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   83.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   83.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   83.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   83.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   83.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   83.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   83.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   83.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   83.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   83.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   83.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   83.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   83.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   83.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   83.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   83.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   83.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   83.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   83.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   83.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   83.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   83.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   83.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   83.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   83.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   83.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   83.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   83.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   83.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   83.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   83.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   83.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   83.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   83.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   83.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   83.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   83.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   83.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   83.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   83.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   83.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   83.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   83.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   83.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   83.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   83.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   83.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   83.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   83.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   83.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   83.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   83.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   83.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   83.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   83.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   83.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   83.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   83.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   83.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   83.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   83.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   83.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   83.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   83.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   83.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   83.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   83.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   83.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   83.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   83.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   83.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   83.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   83.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   83.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   83.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   83.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   83.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   83.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   83.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   83.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   83.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   83.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   83.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   83.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   83.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   83.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   83.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   83.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   83.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   83.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   83.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   83.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   83.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   83.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   83.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   83.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   83.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   83.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   83.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   83.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   83.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   83.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   83.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   83.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   83.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   83.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   83.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   83.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   83.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   83.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   83.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   83.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   83.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   83.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   83.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   83.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   83.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   83.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   83.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   83.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   83.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   83.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   83.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   83.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   83.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   83.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   83.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   83.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   83.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   83.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   83.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   83.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   83.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   83.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   83.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   83.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   83.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   83.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   83.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   83.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   83.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   83.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   83.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   83.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   83.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   83.54 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2025" (8 / 28)
(   83.54 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   83.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   83.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   83.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   83.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   83.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   83.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   83.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   83.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   83.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   83.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   83.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   83.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   83.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   83.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   83.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   83.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   83.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   83.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   83.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   83.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   83.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   83.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   83.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   83.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   83.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   83.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   83.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   83.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   83.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   83.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   83.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   83.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   83.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   83.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   83.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   83.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   83.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   83.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   83.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   83.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   83.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   83.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   83.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   83.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   83.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   83.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   83.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   83.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   83.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   83.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   83.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   83.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   83.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   83.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   83.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   83.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   83.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   83.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   83.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   83.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   83.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   83.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   83.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   83.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   83.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   83.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   83.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   83.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   83.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   83.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   83.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   83.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   83.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   83.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   83.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   83.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   83.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   83.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   83.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   83.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   83.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   83.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   83.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   83.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   83.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   83.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   83.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   83.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   83.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   83.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   83.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   83.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   83.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   83.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   83.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   83.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   83.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   83.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   83.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   83.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   83.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   83.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   83.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   83.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   83.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   83.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   83.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   83.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   83.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   83.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   83.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   83.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   83.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   83.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   83.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   83.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   83.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   83.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   83.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   83.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   83.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   83.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   83.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   83.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   83.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   83.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   83.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   83.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   83.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   83.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   83.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   83.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   83.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   83.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   83.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   83.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   83.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   83.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   83.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   83.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   83.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   83.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   83.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   83.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   83.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   83.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   83.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   83.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   83.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   83.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   83.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   83.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   83.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   83.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   83.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   83.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   83.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   83.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   83.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   83.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   83.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   83.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   83.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   83.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   83.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   83.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   83.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   83.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   83.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   83.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   83.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   83.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   83.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   83.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   83.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   83.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   83.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   83.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   83.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   83.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   83.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   83.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   83.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   83.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   83.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   83.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   83.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   83.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   83.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   83.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   83.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   83.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   83.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   83.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   83.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   83.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   83.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   83.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   83.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   83.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   83.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   83.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   83.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   83.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   83.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   83.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   83.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   83.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   83.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   83.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   83.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   83.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   83.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   83.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   83.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   83.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   83.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   83.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   83.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   83.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   83.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   83.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   83.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   83.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   83.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   83.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   83.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   83.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   83.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   83.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   83.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   83.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   83.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   83.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   83.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   83.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   83.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   83.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   83.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   83.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   83.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   83.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   83.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   83.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   83.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   83.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   83.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   83.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   83.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   83.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   83.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   83.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   83.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   83.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   83.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   83.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   83.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   83.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   83.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   83.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   83.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   83.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   83.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   83.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   84.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   84.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   84.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   84.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   84.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   84.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   84.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   84.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   84.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   84.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   84.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   84.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   84.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   84.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   84.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   84.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   84.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   84.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   84.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   84.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   84.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   84.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   84.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   84.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   84.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   84.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   84.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   84.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   84.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   84.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   84.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   84.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   84.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   84.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   84.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   84.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   84.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   84.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   84.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   84.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   84.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   84.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   84.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   84.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   84.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   84.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   84.08 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2026" (9 / 28)
(   84.08 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   84.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   84.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   84.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   84.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   84.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   84.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   84.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   84.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   84.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   84.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   84.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   84.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   84.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   84.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   84.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   84.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   84.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   84.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   84.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   84.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   84.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   84.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   84.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   84.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   84.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   84.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   84.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   84.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   84.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   84.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   84.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   84.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   84.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   84.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   84.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   84.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   84.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   84.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   84.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   84.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   84.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   84.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   84.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   84.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   84.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   84.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   84.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   84.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   84.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   84.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   84.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   84.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   84.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   84.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   84.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   84.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   84.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   84.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   84.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   84.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   84.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   84.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   84.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   84.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   84.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   84.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   84.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   84.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   84.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   84.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   84.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   84.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   84.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   84.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   84.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   84.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   84.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   84.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   84.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   84.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   84.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   84.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   84.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   84.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   84.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   84.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   84.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   84.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   84.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   84.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   84.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   84.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   84.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   84.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   84.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   84.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   84.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   84.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   84.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   84.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   84.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   84.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   84.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   84.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   84.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   84.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   84.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   84.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   84.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   84.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   84.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   84.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   84.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   84.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   84.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   84.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   84.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   84.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   84.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   84.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   84.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   84.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   84.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   84.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   84.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   84.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   84.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   84.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   84.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   84.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   84.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   84.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   84.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   84.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   84.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   84.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   84.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   84.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   84.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   84.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   84.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   84.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   84.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   84.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   84.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   84.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   84.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   84.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   84.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   84.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   84.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   84.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   84.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   84.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   84.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   84.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   84.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   84.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   84.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   84.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   84.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   84.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   84.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   84.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   84.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   84.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   84.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   84.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   84.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   84.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   84.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   84.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   84.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   84.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   84.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   84.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   84.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   84.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   84.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   84.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   84.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   84.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   84.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   84.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   84.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   84.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   84.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   84.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   84.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   84.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   84.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   84.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   84.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   84.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   84.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   84.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   84.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   84.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   84.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   84.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   84.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   84.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   84.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   84.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   84.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   84.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   84.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   84.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   84.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   84.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   84.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   84.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   84.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   84.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   84.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   84.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   84.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   84.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   84.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   84.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   84.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   84.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   84.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   84.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   84.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   84.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   84.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   84.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   84.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   84.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   84.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   84.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   84.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   84.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   84.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   84.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   84.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   84.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   84.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   84.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   84.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   84.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   84.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   84.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   84.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   84.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   84.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   84.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   84.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   84.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   84.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   84.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   84.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   84.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   84.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   84.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   84.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   84.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   84.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   84.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   84.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   84.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   84.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   84.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   84.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   84.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   84.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   84.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   84.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   84.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   84.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   84.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   84.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   84.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   84.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   84.60 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2027" (10 / 28)
(   84.60 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   84.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   84.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   84.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   84.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   84.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   84.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   84.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   84.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   84.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   84.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   84.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   84.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   84.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   84.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   84.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   84.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   84.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   84.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   84.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   84.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   84.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   84.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   84.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   84.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   84.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   84.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   84.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   84.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   84.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   84.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   84.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   84.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   84.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   84.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   84.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   84.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   84.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   84.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   84.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   84.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   84.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   84.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   84.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   84.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   84.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   84.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   84.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   84.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   84.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   84.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   84.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   84.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   84.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   84.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   84.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   84.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   84.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   84.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   84.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   84.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   84.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   84.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   84.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   84.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   84.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   84.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   84.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   84.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   84.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   84.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   84.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   84.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   84.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   84.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   84.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   84.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   84.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   84.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   84.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   84.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   84.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   84.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   84.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   84.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   84.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   84.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   84.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   84.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   84.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   84.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   84.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   84.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   84.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   84.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   84.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   84.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   84.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   84.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   84.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   84.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   84.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   84.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   84.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   84.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   84.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   84.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   84.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   84.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   84.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   84.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   84.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   84.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   84.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   84.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   84.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   84.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   84.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   84.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   84.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   84.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   84.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   84.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   84.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   84.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   84.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   84.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   84.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   84.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   84.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   84.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   84.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   84.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   84.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   84.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   84.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   84.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   84.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   84.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   84.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   84.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   84.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   84.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   84.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   84.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   84.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   84.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   84.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   84.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   84.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   84.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   84.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   84.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   84.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   84.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   84.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   84.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   84.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   84.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   84.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   84.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   84.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   84.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   84.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   84.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   84.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   84.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   84.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   84.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   84.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   84.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   84.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   84.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   84.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   84.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   84.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   84.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   84.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   84.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   84.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   84.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   84.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   84.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   84.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   84.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   84.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   84.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   84.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   84.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   84.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   84.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   84.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   84.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   84.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   84.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   84.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   84.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   84.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   84.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   84.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   84.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   84.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   84.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   84.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   84.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   84.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   84.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   84.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   84.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   84.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   84.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   84.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   84.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   84.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   84.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   84.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   84.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   84.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   84.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   84.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   84.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   84.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   84.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   85.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   85.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   85.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   85.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   85.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   85.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   85.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   85.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   85.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   85.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   85.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   85.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   85.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   85.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   85.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   85.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   85.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   85.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   85.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   85.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   85.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   85.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   85.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   85.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   85.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   85.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   85.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   85.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   85.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   85.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   85.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   85.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   85.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   85.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   85.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   85.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   85.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   85.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   85.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   85.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   85.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   85.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   85.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   85.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   85.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   85.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   85.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   85.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   85.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   85.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   85.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   85.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   85.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   85.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   85.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   85.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   85.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   85.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   85.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   85.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   85.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   85.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   85.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   85.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   85.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   85.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   85.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   85.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   85.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   85.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   85.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   85.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   85.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   85.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   85.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   85.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   85.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   85.17 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2028" (11 / 28)
(   85.17 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   85.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   85.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   85.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   85.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   85.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   85.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   85.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   85.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   85.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   85.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   85.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   85.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   85.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   85.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   85.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   85.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   85.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   85.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   85.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   85.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   85.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   85.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   85.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   85.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   85.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   85.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   85.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   85.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   85.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   85.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   85.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   85.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   85.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   85.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   85.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   85.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   85.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   85.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   85.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   85.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   85.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   85.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   85.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   85.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   85.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   85.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   85.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   85.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   85.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   85.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   85.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   85.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   85.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   85.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   85.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   85.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   85.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   85.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   85.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   85.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   85.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   85.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   85.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   85.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   85.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   85.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   85.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   85.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   85.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   85.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   85.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   85.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   85.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   85.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   85.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   85.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   85.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   85.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   85.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   85.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   85.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   85.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   85.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   85.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   85.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   85.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   85.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   85.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   85.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   85.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   85.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   85.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   85.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   85.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   85.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   85.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   85.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   85.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   85.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   85.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   85.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   85.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   85.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   85.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   85.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   85.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   85.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   85.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   85.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   85.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   85.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   85.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   85.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   85.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   85.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   85.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   85.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   85.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   85.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   85.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   85.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   85.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   85.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   85.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   85.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   85.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   85.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   85.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   85.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   85.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   85.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   85.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   85.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   85.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   85.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   85.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   85.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   85.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   85.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   85.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   85.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   85.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   85.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   85.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   85.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   85.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   85.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   85.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   85.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   85.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   85.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   85.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   85.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   85.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   85.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   85.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   85.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   85.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   85.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   85.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   85.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   85.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   85.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   85.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   85.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   85.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   85.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   85.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   85.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   85.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   85.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   85.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   85.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   85.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   85.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   85.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   85.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   85.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   85.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   85.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   85.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   85.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   85.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   85.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   85.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   85.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   85.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   85.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   85.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   85.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   85.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   85.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   85.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   85.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   85.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   85.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   85.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   85.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   85.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   85.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   85.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   85.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   85.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   85.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   85.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   85.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   85.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   85.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   85.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   85.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   85.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   85.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   85.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   85.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   85.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   85.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   85.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   85.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   85.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   85.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   85.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   85.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   85.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   85.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   85.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   85.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   85.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   85.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   85.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   85.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   85.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   85.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   85.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   85.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   85.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   85.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   85.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   85.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   85.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   85.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   85.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   85.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   85.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   85.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   85.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   85.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   85.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   85.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   85.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   85.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   85.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   85.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   85.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   85.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   85.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   85.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   85.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   85.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   85.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   85.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   85.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   85.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   85.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   85.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   85.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   85.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   85.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   85.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   85.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   85.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   85.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   85.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   85.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   85.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   85.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   85.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   85.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   85.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   85.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   85.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   85.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   85.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   85.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   85.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   85.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   85.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   85.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   85.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   85.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   85.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   85.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   85.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   85.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   85.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   85.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   85.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   85.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   85.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   85.69 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2029" (12 / 28)
(   85.69 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   85.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   85.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   85.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   85.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   85.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   85.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   85.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   85.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   85.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   85.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   85.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   85.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   85.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   85.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   85.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   85.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   85.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   85.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   85.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   85.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   85.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   85.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   85.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   85.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   85.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   85.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   85.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   85.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   85.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   85.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   85.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   85.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   85.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   85.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   85.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   85.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   85.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   85.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   85.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   85.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   85.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   85.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   85.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   85.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   85.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   85.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   85.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   85.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   85.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   85.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   85.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   85.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   85.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   85.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   85.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   85.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   85.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   85.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   85.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   85.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   85.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   85.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   85.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   85.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   85.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   85.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   85.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   85.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   85.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   85.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   85.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   85.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   85.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   85.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   85.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   85.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   85.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   85.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   85.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   85.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   85.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   85.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   85.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   85.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   85.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   85.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   85.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   85.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   85.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   85.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   85.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   85.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   85.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   85.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   85.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   85.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   85.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   85.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   85.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   85.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   85.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   85.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   85.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   85.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   85.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   85.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   85.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   85.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   85.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   85.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   85.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   85.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   85.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   85.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   85.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   85.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   85.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   85.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   85.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   85.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   85.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   85.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   85.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   85.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   85.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   85.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   85.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   85.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   85.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   85.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   85.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   85.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   85.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   85.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   85.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   85.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   85.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   85.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   85.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   85.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   85.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   85.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   85.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   85.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   85.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   85.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   85.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   85.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   85.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   85.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   85.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   85.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   85.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   85.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   85.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   85.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   85.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   85.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   85.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   85.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   85.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   85.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   85.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   85.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   85.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   85.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   85.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   85.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   85.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   85.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   85.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   85.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   85.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   85.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   85.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   85.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   85.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   85.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   85.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   86.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   86.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   86.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   86.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   86.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   86.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   86.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   86.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   86.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   86.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   86.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   86.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   86.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   86.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   86.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   86.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   86.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   86.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   86.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   86.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   86.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   86.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   86.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   86.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   86.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   86.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   86.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   86.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   86.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   86.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   86.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   86.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   86.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   86.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   86.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   86.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   86.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   86.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   86.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   86.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   86.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   86.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   86.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   86.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   86.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   86.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   86.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   86.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   86.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   86.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   86.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   86.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   86.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   86.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   86.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   86.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   86.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   86.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   86.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   86.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   86.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   86.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   86.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   86.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   86.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   86.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   86.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   86.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   86.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   86.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   86.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   86.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   86.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   86.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   86.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   86.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   86.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   86.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   86.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   86.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   86.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   86.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   86.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   86.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   86.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   86.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   86.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   86.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   86.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   86.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   86.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   86.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   86.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   86.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   86.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   86.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   86.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   86.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   86.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   86.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   86.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   86.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   86.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   86.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   86.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   86.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   86.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   86.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   86.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   86.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   86.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   86.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   86.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   86.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   86.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   86.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   86.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   86.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   86.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   86.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   86.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   86.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   86.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   86.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   86.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   86.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   86.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   86.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   86.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   86.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   86.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   86.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   86.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   86.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   86.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   86.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   86.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   86.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   86.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   86.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   86.25 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2030" (13 / 28)
(   86.25 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   86.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   86.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   86.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   86.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   86.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   86.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   86.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   86.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   86.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   86.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   86.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   86.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   86.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   86.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   86.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   86.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   86.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   86.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   86.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   86.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   86.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   86.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   86.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   86.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   86.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   86.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   86.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   86.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   86.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   86.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   86.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   86.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   86.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   86.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   86.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   86.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   86.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   86.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   86.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   86.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   86.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   86.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   86.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   86.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   86.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   86.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   86.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   86.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   86.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   86.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   86.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   86.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   86.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   86.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   86.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   86.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   86.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   86.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   86.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   86.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   86.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   86.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   86.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   86.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   86.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   86.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   86.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   86.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   86.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   86.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   86.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   86.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   86.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   86.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   86.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   86.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   86.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   86.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   86.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   86.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   86.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   86.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   86.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   86.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   86.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   86.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   86.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   86.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   86.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   86.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   86.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   86.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   86.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   86.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   86.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   86.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   86.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   86.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   86.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   86.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   86.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   86.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   86.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   86.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   86.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   86.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   86.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   86.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   86.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   86.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   86.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   86.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   86.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   86.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   86.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   86.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   86.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   86.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   86.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   86.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   86.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   86.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   86.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   86.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   86.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   86.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   86.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   86.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   86.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   86.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   86.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   86.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   86.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   86.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   86.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   86.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   86.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   86.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   86.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   86.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   86.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   86.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   86.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   86.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   86.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   86.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   86.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   86.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   86.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   86.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   86.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   86.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   86.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   86.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   86.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   86.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   86.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   86.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   86.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   86.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   86.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   86.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   86.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   86.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   86.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   86.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   86.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   86.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   86.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   86.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   86.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   86.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   86.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   86.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   86.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   86.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   86.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   86.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   86.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   86.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   86.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   86.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   86.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   86.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   86.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   86.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   86.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   86.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   86.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   86.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   86.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   86.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   86.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   86.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   86.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   86.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   86.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   86.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   86.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   86.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   86.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   86.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   86.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   86.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   86.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   86.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   86.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   86.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   86.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   86.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   86.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   86.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   86.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   86.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   86.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   86.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   86.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   86.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   86.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   86.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   86.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   86.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   86.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   86.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   86.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   86.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   86.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   86.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   86.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   86.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   86.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   86.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   86.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   86.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   86.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   86.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   86.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   86.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   86.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   86.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   86.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   86.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   86.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   86.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   86.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   86.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   86.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   86.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   86.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   86.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   86.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   86.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   86.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   86.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   86.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   86.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   86.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   86.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   86.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   86.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   86.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   86.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   86.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   86.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   86.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   86.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   86.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   86.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   86.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   86.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   86.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   86.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   86.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   86.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   86.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   86.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   86.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   86.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   86.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   86.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   86.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   86.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   86.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   86.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   86.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   86.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   86.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   86.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   86.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   86.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   86.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   86.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   86.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   86.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   86.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   86.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   86.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   86.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   86.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   86.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   86.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   86.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   86.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   86.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   86.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   86.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   86.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   86.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   86.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   86.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   86.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   86.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   86.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   86.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   86.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   86.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   86.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   86.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   86.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   86.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   86.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   86.78 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2031" (14 / 28)
(   86.78 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   86.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   86.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   86.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   86.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   86.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   86.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   86.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   86.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   86.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   86.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   86.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   86.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   86.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   86.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   86.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   86.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   86.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   86.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   86.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   86.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   86.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   86.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   86.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   86.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   86.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   86.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   86.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   86.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   86.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   86.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   86.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   86.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   86.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   86.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   86.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   86.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   86.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   86.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   86.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   86.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   86.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   86.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   86.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   86.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   86.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   86.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   86.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   86.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   86.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   86.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   86.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   86.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   86.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   86.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   86.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   86.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   86.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   86.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   86.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   86.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   86.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   86.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   86.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   86.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   86.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   86.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   86.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   86.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   86.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   86.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   86.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   86.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   86.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   86.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   86.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   86.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   86.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   86.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   86.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   86.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   86.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   86.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   86.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   86.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   86.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   86.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   86.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   86.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   86.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   86.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   86.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   86.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   86.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   86.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   86.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   86.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   86.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   86.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   86.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   86.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   86.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   86.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   86.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   86.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   86.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   86.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   86.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   86.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   86.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   86.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   86.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   86.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   86.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   87.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   87.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   87.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   87.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   87.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   87.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   87.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   87.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   87.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   87.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   87.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   87.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   87.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   87.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   87.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   87.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   87.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   87.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   87.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   87.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   87.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   87.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   87.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   87.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   87.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   87.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   87.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   87.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   87.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   87.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   87.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   87.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   87.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   87.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   87.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   87.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   87.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   87.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   87.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   87.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   87.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   87.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   87.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   87.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   87.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   87.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   87.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   87.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   87.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   87.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   87.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   87.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   87.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   87.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   87.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   87.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   87.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   87.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   87.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   87.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   87.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   87.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   87.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   87.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   87.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   87.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   87.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   87.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   87.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   87.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   87.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   87.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   87.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   87.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   87.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   87.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   87.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   87.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   87.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   87.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   87.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   87.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   87.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   87.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   87.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   87.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   87.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   87.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   87.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   87.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   87.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   87.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   87.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   87.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   87.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   87.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   87.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   87.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   87.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   87.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   87.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   87.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   87.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   87.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   87.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   87.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   87.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   87.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   87.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   87.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   87.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   87.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   87.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   87.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   87.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   87.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   87.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   87.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   87.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   87.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   87.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   87.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   87.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   87.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   87.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   87.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   87.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   87.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   87.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   87.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   87.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   87.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   87.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   87.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   87.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   87.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   87.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   87.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   87.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   87.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   87.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   87.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   87.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   87.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   87.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   87.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   87.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   87.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   87.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   87.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   87.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   87.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   87.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   87.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   87.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   87.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   87.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   87.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   87.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   87.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   87.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   87.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   87.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   87.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   87.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   87.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   87.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   87.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   87.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   87.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   87.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   87.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   87.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   87.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   87.32 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2032" (15 / 28)
(   87.32 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   87.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   87.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   87.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   87.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   87.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   87.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   87.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   87.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   87.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   87.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   87.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   87.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   87.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   87.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   87.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   87.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   87.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   87.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   87.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   87.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   87.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   87.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   87.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   87.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   87.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   87.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   87.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   87.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   87.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   87.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   87.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   87.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   87.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   87.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   87.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   87.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   87.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   87.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   87.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   87.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   87.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   87.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   87.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   87.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   87.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   87.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   87.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   87.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   87.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   87.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   87.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   87.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   87.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   87.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   87.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   87.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   87.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   87.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   87.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   87.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   87.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   87.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   87.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   87.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   87.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   87.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   87.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   87.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   87.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   87.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   87.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   87.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   87.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   87.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   87.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   87.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   87.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   87.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   87.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   87.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   87.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   87.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   87.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   87.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   87.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   87.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   87.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   87.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   87.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   87.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   87.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   87.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   87.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   87.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   87.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   87.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   87.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   87.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   87.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   87.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   87.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   87.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   87.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   87.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   87.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   87.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   87.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   87.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   87.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   87.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   87.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   87.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   87.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   87.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   87.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   87.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   87.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   87.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   87.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   87.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   87.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   87.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   87.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   87.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   87.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   87.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   87.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   87.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   87.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   87.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   87.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   87.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   87.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   87.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   87.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   87.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   87.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   87.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   87.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   87.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   87.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   87.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   87.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   87.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   87.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   87.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   87.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   87.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   87.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   87.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   87.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   87.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   87.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   87.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   87.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   87.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   87.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   87.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   87.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   87.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   87.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   87.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   87.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   87.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   87.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   87.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   87.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   87.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   87.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   87.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   87.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   87.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   87.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   87.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   87.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   87.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   87.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   87.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   87.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   87.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   87.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   87.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   87.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   87.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   87.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   87.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   87.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   87.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   87.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   87.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   87.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   87.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   87.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   87.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   87.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   87.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   87.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   87.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   87.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   87.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   87.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   87.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   87.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   87.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   87.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   87.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   87.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   87.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   87.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   87.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   87.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   87.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   87.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   87.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   87.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   87.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   87.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   87.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   87.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   87.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   87.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   87.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   87.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   87.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   87.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   87.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   87.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   87.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   87.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   87.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   87.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   87.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   87.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   87.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   87.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   87.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   87.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   87.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   87.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   87.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   87.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   87.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   87.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   87.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   87.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   87.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   87.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   87.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   87.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   87.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   87.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   87.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   87.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   87.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   87.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   87.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   87.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   87.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   87.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   87.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   87.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   87.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   87.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   87.84 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2033" (16 / 28)
(   87.84 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   87.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   87.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   87.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   87.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   87.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   87.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   87.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   87.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   87.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   87.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   87.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   87.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   87.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   87.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   87.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   87.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   87.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   87.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   87.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   87.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   87.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   87.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   87.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   87.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   87.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   87.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   87.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   87.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   87.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   87.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   87.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   87.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   87.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   87.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   87.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   87.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   87.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   87.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   87.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   87.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   87.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   87.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   87.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   87.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   87.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   87.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   87.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   87.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   87.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   87.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   87.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   87.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   87.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   87.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   87.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   87.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   87.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   87.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   87.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   87.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   87.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   87.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   87.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   87.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   87.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   87.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   87.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   87.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   87.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   87.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   87.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   87.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   87.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   87.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   87.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   87.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   87.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   87.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   87.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   87.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   87.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   87.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   87.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   87.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   87.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   87.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   88.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   88.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   88.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   88.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   88.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   88.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   88.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   88.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   88.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   88.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   88.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   88.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   88.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   88.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   88.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   88.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   88.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   88.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   88.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   88.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   88.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   88.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   88.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   88.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   88.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   88.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   88.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   88.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   88.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   88.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   88.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   88.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   88.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   88.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   88.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   88.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   88.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   88.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   88.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   88.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   88.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   88.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   88.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   88.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   88.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   88.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   88.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   88.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   88.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   88.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   88.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   88.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   88.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   88.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   88.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   88.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   88.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   88.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   88.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   88.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   88.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   88.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   88.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   88.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   88.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   88.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   88.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   88.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   88.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   88.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   88.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   88.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   88.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   88.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   88.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   88.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   88.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   88.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   88.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   88.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   88.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   88.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   88.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   88.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   88.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   88.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   88.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   88.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   88.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   88.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   88.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   88.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   88.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   88.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   88.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   88.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   88.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   88.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   88.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   88.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   88.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   88.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   88.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   88.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   88.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   88.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   88.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   88.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   88.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   88.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   88.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   88.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   88.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   88.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   88.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   88.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   88.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   88.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   88.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   88.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   88.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   88.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   88.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   88.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   88.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   88.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   88.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   88.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   88.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   88.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   88.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   88.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   88.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   88.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   88.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   88.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   88.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   88.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   88.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   88.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   88.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   88.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   88.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   88.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   88.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   88.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   88.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   88.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   88.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   88.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   88.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   88.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   88.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   88.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   88.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   88.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   88.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   88.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   88.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   88.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   88.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   88.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   88.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   88.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   88.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   88.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   88.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   88.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   88.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   88.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   88.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   88.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   88.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   88.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   88.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   88.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   88.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   88.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   88.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   88.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   88.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   88.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   88.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   88.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   88.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   88.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   88.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   88.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   88.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   88.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   88.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   88.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   88.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   88.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   88.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   88.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   88.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   88.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   88.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   88.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   88.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   88.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   88.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   88.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   88.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   88.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   88.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   88.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   88.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   88.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   88.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   88.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   88.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   88.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   88.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   88.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   88.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   88.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   88.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   88.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   88.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   88.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   88.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   88.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   88.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   88.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   88.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   88.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   88.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   88.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   88.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   88.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   88.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   88.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   88.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   88.37 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2034" (17 / 28)
(   88.37 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   88.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   88.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   88.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   88.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   88.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   88.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   88.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   88.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   88.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   88.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   88.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   88.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   88.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   88.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   88.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   88.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   88.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   88.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   88.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   88.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   88.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   88.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   88.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   88.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   88.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   88.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   88.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   88.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   88.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   88.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   88.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   88.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   88.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   88.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   88.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   88.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   88.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   88.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   88.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   88.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   88.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   88.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   88.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   88.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   88.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   88.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   88.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   88.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   88.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   88.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   88.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   88.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   88.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   88.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   88.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   88.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   88.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   88.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   88.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   88.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   88.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   88.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   88.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   88.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   88.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   88.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   88.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   88.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   88.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   88.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   88.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   88.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   88.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   88.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   88.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   88.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   88.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   88.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   88.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   88.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   88.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   88.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   88.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   88.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   88.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   88.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   88.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   88.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   88.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   88.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   88.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   88.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   88.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   88.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   88.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   88.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   88.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   88.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   88.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   88.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   88.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   88.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   88.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   88.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   88.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   88.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   88.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   88.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   88.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   88.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   88.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   88.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   88.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   88.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   88.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   88.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   88.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   88.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   88.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   88.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   88.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   88.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   88.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   88.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   88.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   88.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   88.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   88.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   88.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   88.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   88.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   88.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   88.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   88.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   88.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   88.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   88.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   88.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   88.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   88.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   88.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   88.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   88.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   88.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   88.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   88.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   88.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   88.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   88.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   88.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   88.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   88.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   88.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   88.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   88.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   88.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   88.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   88.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   88.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   88.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   88.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   88.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   88.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   88.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   88.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   88.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   88.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   88.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   88.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   88.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   88.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   88.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   88.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   88.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   88.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   88.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   88.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   88.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   88.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   88.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   88.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   88.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   88.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   88.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   88.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   88.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   88.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   88.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   88.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   88.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   88.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   88.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   88.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   88.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   88.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   88.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   88.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   88.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   88.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   88.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   88.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   88.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   88.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   88.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   88.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   88.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   88.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   88.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   88.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   88.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   88.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   88.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   88.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   88.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   88.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   88.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   88.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   88.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   88.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   88.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   88.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   88.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   88.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   88.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   88.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   88.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   88.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   88.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   88.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   88.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   88.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   88.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   88.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   88.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   88.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   88.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   88.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   88.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   88.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   88.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   88.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   88.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   88.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   88.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   88.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   88.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   88.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   88.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   88.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   88.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   88.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   88.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   88.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   88.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   88.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   88.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   88.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   88.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   88.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   88.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   88.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   88.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   88.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   88.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   88.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   88.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   88.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   88.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   88.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   88.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   88.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   88.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   88.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   88.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   88.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   88.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   88.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   88.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   88.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   88.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   88.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   88.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   88.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   88.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   88.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   88.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   88.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   88.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   88.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   88.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   88.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   88.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   88.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   88.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   88.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   88.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   88.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   88.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   88.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   88.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   88.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   88.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   88.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   88.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   88.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   88.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   88.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   88.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   88.89 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2035" (18 / 28)
(   88.89 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   88.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   88.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   88.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   88.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   88.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   88.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   88.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   88.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   88.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   88.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   88.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   88.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   88.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   88.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   88.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   88.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   88.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   88.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   88.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   88.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   88.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   88.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   88.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   88.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   88.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   88.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   88.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   88.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   88.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   88.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   88.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   88.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   88.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   88.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   88.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   88.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   88.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   88.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   88.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   88.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   88.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   88.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   88.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   88.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   88.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   88.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   88.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   88.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   88.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   88.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   88.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   88.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   88.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   88.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   88.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   88.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   88.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   88.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   88.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   88.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   88.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   88.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   88.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   88.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   88.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   88.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   88.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   88.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   88.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   89.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   89.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   89.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   89.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   89.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   89.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   89.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   89.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   89.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   89.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   89.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   89.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   89.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   89.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   89.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   89.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   89.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   89.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   89.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   89.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   89.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   89.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   89.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   89.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   89.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   89.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   89.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   89.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   89.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   89.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   89.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   89.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   89.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   89.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   89.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   89.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   89.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   89.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   89.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   89.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   89.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   89.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   89.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   89.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   89.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   89.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   89.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   89.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   89.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   89.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   89.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   89.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   89.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   89.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   89.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   89.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   89.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   89.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   89.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   89.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   89.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   89.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   89.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   89.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   89.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   89.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   89.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   89.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   89.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   89.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   89.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   89.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   89.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   89.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   89.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   89.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   89.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   89.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   89.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   89.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   89.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   89.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   89.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   89.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   89.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   89.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   89.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   89.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   89.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   89.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   89.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   89.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   89.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   89.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   89.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   89.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   89.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   89.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   89.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   89.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   89.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   89.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   89.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   89.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   89.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   89.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   89.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   89.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   89.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   89.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   89.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   89.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   89.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   89.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   89.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   89.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   89.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   89.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   89.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   89.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   89.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   89.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   89.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   89.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   89.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   89.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   89.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   89.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   89.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   89.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   89.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   89.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   89.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   89.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   89.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   89.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   89.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   89.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   89.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   89.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   89.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   89.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   89.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   89.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   89.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   89.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   89.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   89.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   89.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   89.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   89.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   89.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   89.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   89.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   89.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   89.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   89.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   89.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   89.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   89.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   89.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   89.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   89.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   89.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   89.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   89.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   89.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   89.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   89.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   89.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   89.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   89.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   89.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   89.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   89.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   89.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   89.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   89.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   89.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   89.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   89.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   89.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   89.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   89.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   89.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   89.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   89.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   89.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   89.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   89.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   89.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   89.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   89.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   89.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   89.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   89.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   89.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   89.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   89.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   89.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   89.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   89.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   89.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   89.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   89.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   89.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   89.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   89.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   89.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   89.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   89.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   89.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   89.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   89.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   89.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   89.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   89.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   89.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   89.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   89.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   89.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   89.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   89.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   89.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   89.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   89.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   89.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   89.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   89.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   89.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   89.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   89.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   89.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   89.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   89.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   89.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   89.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   89.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   89.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   89.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   89.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   89.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   89.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   89.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   89.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   89.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   89.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   89.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   89.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   89.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   89.42 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2036" (19 / 28)
(   89.42 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   89.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   89.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   89.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   89.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   89.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   89.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   89.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   89.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   89.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   89.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   89.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   89.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   89.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   89.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   89.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   89.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   89.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   89.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   89.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   89.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   89.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   89.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   89.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   89.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   89.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   89.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   89.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   89.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   89.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   89.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   89.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   89.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   89.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   89.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   89.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   89.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   89.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   89.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   89.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   89.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   89.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   89.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   89.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   89.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   89.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   89.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   89.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   89.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   89.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   89.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   89.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   89.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   89.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   89.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   89.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   89.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   89.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   89.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   89.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   89.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   89.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   89.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   89.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   89.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   89.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   89.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   89.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   89.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   89.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   89.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   89.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   89.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   89.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   89.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   89.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   89.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   89.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   89.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   89.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   89.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   89.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   89.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   89.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   89.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   89.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   89.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   89.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   89.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   89.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   89.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   89.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   89.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   89.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   89.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   89.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   89.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   89.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   89.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   89.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   89.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   89.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   89.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   89.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   89.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   89.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   89.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   89.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   89.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   89.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   89.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   89.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   89.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   89.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   89.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   89.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   89.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   89.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   89.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   89.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   89.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   89.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   89.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   89.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   89.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   89.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   89.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   89.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   89.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   89.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   89.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   89.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   89.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   89.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   89.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   89.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   89.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   89.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   89.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   89.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   89.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   89.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   89.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   89.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   89.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   89.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   89.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   89.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   89.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   89.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   89.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   89.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   89.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   89.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   89.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   89.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   89.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   89.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   89.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   89.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   89.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   89.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   89.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   89.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   89.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   89.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   89.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   89.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   89.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   89.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   89.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   89.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   89.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   89.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   89.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   89.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   89.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   89.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   89.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   89.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   89.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   89.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   89.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   89.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   89.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   89.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   89.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   89.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   89.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   89.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   89.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   89.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   89.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   89.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   89.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   89.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   89.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   89.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   89.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   89.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   89.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   89.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   89.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   89.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   89.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   89.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   89.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   89.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   89.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   89.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   89.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   89.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   89.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   89.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   89.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   89.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   89.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   89.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   89.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   89.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   89.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   89.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   89.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   89.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   89.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   89.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   89.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   89.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   89.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   89.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   89.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   89.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   89.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   89.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   89.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   89.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   89.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   89.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   89.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   89.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   89.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   89.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   89.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   89.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   89.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   89.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   89.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   89.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   89.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   89.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   89.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   89.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   89.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   89.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   89.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   89.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   89.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   89.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   89.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   89.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   89.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   89.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   89.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   89.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   89.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   89.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   89.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   89.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   89.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   89.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   89.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   89.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   89.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   89.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   89.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   89.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   89.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   89.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   89.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   89.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   89.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   89.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   89.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   89.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   89.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   89.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   89.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   89.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   89.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   89.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   89.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   89.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   89.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   89.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   89.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   89.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   89.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   89.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   89.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   89.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   89.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   89.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   89.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   89.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   89.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   89.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   89.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   89.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   89.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   89.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   89.93 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2037" (20 / 28)
(   89.93 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   89.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   89.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   89.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   89.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   89.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   89.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   89.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   89.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   89.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   89.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   89.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   89.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   89.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   89.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   89.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   89.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   89.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   89.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   89.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   89.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   89.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   89.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   89.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   89.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   89.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   89.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   89.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   89.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   89.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   89.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   89.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   89.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   89.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   90.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   90.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   90.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   90.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   90.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   90.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   90.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   90.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   90.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   90.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   90.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   90.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   90.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   90.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   90.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   90.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   90.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   90.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   90.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   90.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   90.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   90.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   90.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   90.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   90.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   90.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   90.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   90.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   90.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   90.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   90.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   90.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   90.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   90.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   90.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   90.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   90.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   90.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   90.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   90.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   90.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   90.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   90.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   90.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   90.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   90.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   90.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   90.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   90.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   90.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   90.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   90.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   90.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   90.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   90.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   90.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   90.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   90.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   90.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   90.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   90.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   90.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   90.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   90.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   90.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   90.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   90.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   90.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   90.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   90.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   90.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   90.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   90.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   90.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   90.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   90.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   90.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   90.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   90.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   90.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   90.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   90.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   90.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   90.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   90.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   90.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   90.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   90.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   90.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   90.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   90.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   90.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   90.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   90.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   90.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   90.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   90.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   90.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   90.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   90.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   90.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   90.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   90.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   90.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   90.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   90.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   90.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   90.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   90.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   90.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   90.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   90.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   90.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   90.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   90.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   90.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   90.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   90.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   90.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   90.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   90.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   90.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   90.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   90.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   90.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   90.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   90.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   90.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   90.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   90.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   90.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   90.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   90.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   90.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   90.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   90.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   90.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   90.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   90.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   90.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   90.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   90.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   90.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   90.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   90.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   90.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   90.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   90.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   90.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   90.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   90.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   90.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   90.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   90.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   90.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   90.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   90.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   90.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   90.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   90.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   90.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   90.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   90.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   90.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   90.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   90.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   90.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   90.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   90.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   90.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   90.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   90.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   90.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   90.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   90.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   90.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   90.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   90.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   90.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   90.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   90.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   90.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   90.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   90.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   90.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   90.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   90.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   90.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   90.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   90.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   90.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   90.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   90.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   90.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   90.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   90.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   90.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   90.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   90.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   90.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   90.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   90.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   90.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   90.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   90.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   90.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   90.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   90.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   90.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   90.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   90.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   90.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   90.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   90.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   90.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   90.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   90.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   90.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   90.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   90.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   90.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   90.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   90.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   90.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   90.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   90.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   90.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   90.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   90.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   90.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   90.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   90.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   90.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   90.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   90.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   90.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   90.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   90.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   90.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   90.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   90.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   90.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   90.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   90.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   90.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   90.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   90.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   90.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   90.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   90.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   90.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   90.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   90.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   90.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   90.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   90.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   90.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   90.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   90.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   90.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   90.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   90.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   90.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   90.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   90.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   90.51 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2038" (21 / 28)
(   90.51 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   90.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   90.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   90.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   90.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   90.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   90.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   90.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   90.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   90.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   90.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   90.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   90.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   90.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   90.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   90.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   90.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   90.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   90.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   90.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   90.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   90.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   90.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   90.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   90.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   90.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   90.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   90.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   90.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   90.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   90.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   90.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   90.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   90.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   90.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   90.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   90.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   90.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   90.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   90.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   90.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   90.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   90.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   90.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   90.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   90.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   90.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   90.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   90.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   90.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   90.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   90.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   90.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   90.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   90.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   90.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   90.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   90.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   90.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   90.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   90.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   90.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   90.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   90.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   90.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   90.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   90.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   90.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   90.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   90.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   90.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   90.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   90.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   90.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   90.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   90.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   90.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   90.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   90.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   90.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   90.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   90.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   90.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   90.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   90.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   90.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   90.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   90.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   90.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   90.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   90.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   90.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   90.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   90.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   90.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   90.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   90.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   90.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   90.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   90.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   90.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   90.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   90.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   90.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   90.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   90.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   90.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   90.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   90.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   90.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   90.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   90.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   90.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   90.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   90.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   90.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   90.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   90.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   90.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   90.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   90.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   90.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   90.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   90.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   90.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   90.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   90.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   90.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   90.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   90.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   90.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   90.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   90.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   90.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   90.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   90.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   90.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   90.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   90.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   90.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   90.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   90.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   90.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   90.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   90.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   90.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   90.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   90.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   90.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   90.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   90.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   90.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   90.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   90.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   90.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   90.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   90.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   90.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   90.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   90.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   90.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   90.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   90.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   90.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   90.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   90.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   90.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   90.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   90.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   90.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   90.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   90.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   90.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   90.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   90.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   90.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   90.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   90.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   90.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   90.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   90.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   90.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   90.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   90.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   90.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   90.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   90.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   90.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   90.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   90.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   90.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   90.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   90.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   90.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   90.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   90.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   90.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   90.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   90.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   90.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   90.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   90.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   90.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   90.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   90.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   90.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   90.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   90.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   90.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   90.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   90.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   90.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   90.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   90.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   90.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   90.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   90.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   90.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   90.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   90.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   90.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   90.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   90.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   90.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   90.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   90.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   90.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   90.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   90.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   90.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   90.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   90.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   90.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   90.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   90.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   90.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   90.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   90.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   90.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   90.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   90.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   90.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   90.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   90.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   90.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   90.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   90.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   90.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   90.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   90.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   90.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   90.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   90.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   90.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   90.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   90.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   90.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   90.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   90.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   90.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   90.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   90.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   90.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   90.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   90.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   90.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   90.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   90.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   90.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   90.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   90.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   90.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   90.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   90.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   90.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   90.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   91.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   91.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   91.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   91.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   91.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   91.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   91.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   91.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   91.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   91.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   91.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   91.03 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2039" (22 / 28)
(   91.03 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   91.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   91.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   91.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   91.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   91.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   91.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   91.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   91.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   91.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   91.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   91.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   91.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   91.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   91.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   91.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   91.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   91.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   91.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   91.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   91.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   91.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   91.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   91.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   91.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   91.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   91.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   91.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   91.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   91.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   91.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   91.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   91.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   91.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   91.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   91.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   91.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   91.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   91.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   91.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   91.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   91.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   91.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   91.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   91.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   91.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   91.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   91.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   91.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   91.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   91.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   91.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   91.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   91.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   91.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   91.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   91.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   91.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   91.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   91.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   91.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   91.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   91.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   91.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   91.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   91.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   91.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   91.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   91.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   91.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   91.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   91.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   91.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   91.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   91.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   91.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   91.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   91.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   91.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   91.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   91.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   91.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   91.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   91.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   91.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   91.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   91.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   91.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   91.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   91.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   91.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   91.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   91.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   91.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   91.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   91.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   91.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   91.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   91.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   91.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   91.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   91.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   91.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   91.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   91.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   91.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   91.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   91.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   91.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   91.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   91.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   91.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   91.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   91.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   91.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   91.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   91.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   91.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   91.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   91.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   91.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   91.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   91.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   91.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   91.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   91.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   91.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   91.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   91.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   91.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   91.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   91.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   91.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   91.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   91.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   91.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   91.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   91.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   91.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   91.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   91.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   91.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   91.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   91.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   91.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   91.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   91.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   91.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   91.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   91.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   91.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   91.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   91.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   91.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   91.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   91.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   91.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   91.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   91.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   91.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   91.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   91.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   91.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   91.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   91.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   91.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   91.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   91.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   91.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   91.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   91.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   91.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   91.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   91.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   91.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   91.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   91.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   91.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   91.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   91.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   91.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   91.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   91.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   91.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   91.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   91.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   91.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   91.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   91.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   91.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   91.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   91.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   91.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   91.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   91.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   91.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   91.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   91.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   91.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   91.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   91.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   91.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   91.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   91.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   91.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   91.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   91.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   91.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   91.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   91.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   91.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   91.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   91.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   91.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   91.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   91.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   91.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   91.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   91.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   91.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   91.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   91.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   91.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   91.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   91.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   91.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   91.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   91.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   91.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   91.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   91.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   91.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   91.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   91.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   91.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   91.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   91.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   91.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   91.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   91.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   91.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   91.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   91.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   91.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   91.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   91.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   91.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   91.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   91.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   91.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   91.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   91.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   91.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   91.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   91.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   91.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   91.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   91.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   91.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   91.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   91.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   91.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   91.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   91.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   91.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   91.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   91.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   91.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   91.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   91.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   91.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   91.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   91.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   91.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   91.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   91.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   91.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   91.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   91.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   91.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   91.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   91.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   91.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   91.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   91.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   91.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   91.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   91.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   91.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   91.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   91.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   91.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   91.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   91.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   91.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   91.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   91.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   91.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   91.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   91.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   91.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   91.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   91.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   91.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   91.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   91.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   91.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   91.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   91.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   91.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   91.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   91.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   91.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   91.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   91.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   91.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   91.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   91.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   91.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   91.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   91.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   91.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   91.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   91.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   91.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   91.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   91.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   91.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   91.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   91.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   91.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   91.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   91.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   91.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   91.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   91.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   91.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   91.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   91.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   91.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   91.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   91.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   91.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   91.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   91.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   91.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   91.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   91.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   91.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   91.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   91.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   91.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   91.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   91.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   91.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   91.57 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2040" (23 / 28)
(   91.57 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   91.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   91.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   91.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   91.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   91.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   91.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   91.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   91.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   91.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   91.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   91.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   91.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   91.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   91.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   91.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   91.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   91.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   91.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   91.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   91.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   91.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   91.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   91.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   91.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   91.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   91.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   91.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   91.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   91.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   91.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   91.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   91.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   91.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   91.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   91.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   91.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   91.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   91.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   91.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   91.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   91.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   91.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   91.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   91.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   91.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   91.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   91.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   91.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   91.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   91.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   91.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   91.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   91.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   91.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   91.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   91.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   91.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   91.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   91.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   91.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   91.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   91.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   91.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   91.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   91.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   91.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   91.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   91.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   91.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   91.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   91.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   91.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   91.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   91.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   91.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   91.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   91.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   91.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   91.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   91.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   91.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   91.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   91.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   91.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   91.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   91.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   91.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   91.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   91.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   91.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   91.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   91.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   91.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   91.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   91.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   91.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   91.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   91.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   91.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   91.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   91.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   91.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   91.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   91.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   91.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   91.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   91.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   91.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   91.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   91.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   91.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   91.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   91.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   91.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   91.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   91.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   91.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   91.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   91.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   91.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   91.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   91.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   91.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   91.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   91.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   91.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   91.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   91.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   91.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   91.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   91.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   91.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   91.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   91.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   91.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   91.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   91.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   91.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   91.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   91.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   91.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   91.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   91.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   91.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   91.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   91.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   91.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   91.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   91.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   91.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   91.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   91.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   91.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   91.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   91.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   91.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   91.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   91.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   91.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   91.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   91.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   91.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   91.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   91.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   91.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   91.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   91.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   91.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   91.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   91.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   91.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   91.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   91.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   91.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   91.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   91.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   91.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   91.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   91.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   91.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   91.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   91.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   91.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   91.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   91.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   91.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   91.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   91.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   91.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   91.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   91.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   91.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   91.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   91.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   91.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   91.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   91.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   91.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   91.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   91.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   91.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   91.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   91.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   91.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   91.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   91.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   91.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   91.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   91.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   91.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   91.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   91.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   91.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   91.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   91.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   91.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   91.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   91.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   91.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   91.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   91.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   91.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   91.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   91.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   91.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   91.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   91.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   91.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   91.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   91.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   91.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   91.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   91.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   91.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   91.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   91.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   91.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   91.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   91.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   91.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   91.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   91.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   91.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   91.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   91.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   91.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   91.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   91.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   91.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   91.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   91.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   91.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   91.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   91.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   91.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   91.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   91.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   91.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   92.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   92.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   92.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   92.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   92.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   92.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   92.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   92.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   92.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   92.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   92.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   92.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   92.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   92.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   92.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   92.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   92.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   92.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   92.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   92.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   92.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   92.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   92.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   92.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   92.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   92.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   92.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   92.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   92.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   92.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   92.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   92.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   92.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   92.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   92.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   92.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   92.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   92.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   92.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   92.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   92.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   92.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   92.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   92.08 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2041" (24 / 28)
(   92.08 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   92.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   92.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   92.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   92.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   92.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   92.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   92.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   92.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   92.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   92.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   92.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   92.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   92.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   92.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   92.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   92.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   92.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   92.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   92.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   92.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   92.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   92.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   92.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   92.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   92.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   92.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   92.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   92.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   92.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   92.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   92.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   92.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   92.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   92.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   92.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   92.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   92.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   92.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   92.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   92.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   92.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   92.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   92.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   92.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   92.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   92.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   92.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   92.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   92.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   92.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   92.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   92.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   92.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   92.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   92.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   92.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   92.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   92.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   92.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   92.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   92.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   92.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   92.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   92.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   92.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   92.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   92.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   92.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   92.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   92.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   92.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   92.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   92.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   92.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   92.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   92.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   92.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   92.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   92.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   92.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   92.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   92.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   92.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   92.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   92.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   92.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   92.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   92.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   92.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   92.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   92.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   92.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   92.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   92.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   92.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   92.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   92.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   92.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   92.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   92.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   92.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   92.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   92.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   92.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   92.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   92.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   92.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   92.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   92.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   92.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   92.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   92.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   92.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   92.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   92.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   92.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   92.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   92.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   92.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   92.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   92.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   92.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   92.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   92.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   92.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   92.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   92.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   92.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   92.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   92.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   92.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   92.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   92.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   92.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   92.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   92.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   92.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   92.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   92.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   92.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   92.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   92.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   92.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   92.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   92.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   92.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   92.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   92.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   92.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   92.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   92.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   92.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   92.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   92.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   92.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   92.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   92.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   92.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   92.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   92.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   92.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   92.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   92.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   92.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   92.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   92.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   92.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   92.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   92.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   92.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   92.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   92.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   92.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   92.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   92.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   92.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   92.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   92.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   92.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   92.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   92.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   92.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   92.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   92.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   92.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   92.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   92.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   92.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   92.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   92.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   92.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   92.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   92.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   92.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   92.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   92.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   92.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   92.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   92.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   92.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   92.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   92.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   92.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   92.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   92.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   92.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   92.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   92.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   92.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   92.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   92.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   92.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   92.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   92.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   92.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   92.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   92.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   92.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   92.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   92.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   92.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   92.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   92.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   92.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   92.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   92.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   92.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   92.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   92.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   92.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   92.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   92.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   92.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   92.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   92.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   92.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   92.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   92.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   92.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   92.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   92.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   92.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   92.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   92.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   92.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   92.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   92.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   92.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   92.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   92.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   92.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   92.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   92.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   92.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   92.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   92.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   92.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   92.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   92.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   92.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   92.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   92.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   92.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   92.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   92.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   92.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   92.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   92.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   92.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   92.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   92.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   92.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   92.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   92.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   92.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   92.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   92.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   92.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   92.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   92.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   92.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   92.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   92.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   92.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   92.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   92.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   92.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   92.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   92.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   92.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   92.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   92.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   92.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   92.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   92.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   92.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   92.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   92.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   92.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   92.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   92.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   92.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   92.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   92.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   92.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   92.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   92.60 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2042" (25 / 28)
(   92.60 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   92.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   92.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   92.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   92.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   92.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   92.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   92.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   92.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   92.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   92.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   92.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   92.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   92.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   92.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   92.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   92.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   92.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   92.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   92.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   92.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   92.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   92.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   92.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   92.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   92.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   92.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   92.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   92.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   92.64 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   92.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   92.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   92.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   92.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   92.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   92.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   92.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   92.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   92.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   92.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   92.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   92.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   92.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   92.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   92.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   92.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   92.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   92.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   92.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   92.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   92.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   92.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   92.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   92.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   92.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   92.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   92.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   92.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   92.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   92.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   92.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   92.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   92.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   92.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   92.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   92.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   92.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   92.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   92.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   92.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   92.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   92.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   92.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   92.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   92.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   92.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   92.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   92.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   92.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   92.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   92.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   92.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   92.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   92.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   92.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   92.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   92.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   92.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   92.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   92.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   92.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   92.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   92.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   92.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   92.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   92.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   92.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   92.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   92.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   92.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   92.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   92.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   92.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   92.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   92.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   92.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   92.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   92.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   92.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   92.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   92.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   92.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   92.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   92.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   92.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   92.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   92.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   92.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   92.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   92.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   92.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   92.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   92.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   92.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   92.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   92.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   92.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   92.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   92.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   92.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   92.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   92.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   92.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   92.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   92.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   92.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   92.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   92.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   92.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   92.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   92.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   92.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   92.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   92.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   92.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   92.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   92.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   92.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   92.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   92.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   92.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   92.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   92.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   92.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   92.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   92.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   92.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   92.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   92.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   92.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   92.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   92.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   92.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   92.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   92.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   92.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   92.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   92.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   92.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   92.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   92.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   92.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   92.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   92.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   92.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   92.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   92.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   92.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   92.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   92.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   92.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   92.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   92.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   92.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   92.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   92.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   92.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   92.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   92.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   92.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   92.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   92.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   92.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   92.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   92.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   92.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   92.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   92.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   92.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   92.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   92.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   92.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   92.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   92.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   92.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   92.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   92.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   92.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   92.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   92.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   92.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   92.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   92.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   92.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   92.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   92.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   92.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   92.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   92.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   92.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   92.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   92.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   92.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   92.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   92.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   92.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   92.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   92.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   92.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   92.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   92.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   92.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   92.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   92.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   92.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   92.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   92.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   92.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   92.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   92.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   92.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   92.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   92.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   92.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   92.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   92.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   92.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   92.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   92.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   92.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   92.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   92.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   92.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   92.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   92.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   93.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   93.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   93.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   93.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   93.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   93.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   93.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   93.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   93.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   93.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   93.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   93.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   93.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   93.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   93.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   93.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   93.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   93.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   93.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   93.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   93.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   93.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   93.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   93.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   93.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   93.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   93.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   93.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   93.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   93.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   93.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   93.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   93.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   93.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   93.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   93.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   93.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   93.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   93.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   93.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   93.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   93.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   93.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   93.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   93.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   93.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   93.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   93.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   93.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   93.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   93.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   93.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   93.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   93.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   93.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   93.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   93.13 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2043" (26 / 28)
(   93.13 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   93.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   93.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   93.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   93.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   93.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   93.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   93.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   93.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   93.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   93.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   93.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   93.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   93.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   93.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   93.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   93.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   93.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   93.16 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   93.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   93.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   93.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   93.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   93.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   93.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   93.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   93.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   93.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   93.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   93.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   93.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   93.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   93.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   93.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   93.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   93.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   93.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   93.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   93.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   93.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   93.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   93.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   93.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   93.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   93.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   93.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   93.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   93.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   93.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   93.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   93.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   93.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   93.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   93.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   93.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   93.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   93.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   93.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   93.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   93.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   93.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   93.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   93.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   93.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   93.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   93.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   93.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   93.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   93.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   93.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   93.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   93.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   93.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   93.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   93.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   93.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   93.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   93.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   93.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   93.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   93.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   93.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   93.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   93.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   93.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   93.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   93.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   93.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   93.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   93.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   93.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   93.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   93.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   93.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   93.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   93.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   93.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   93.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   93.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   93.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   93.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   93.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   93.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   93.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   93.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   93.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   93.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   93.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   93.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   93.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   93.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   93.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   93.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   93.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   93.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   93.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   93.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   93.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   93.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   93.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   93.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   93.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   93.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   93.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   93.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   93.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   93.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   93.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   93.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   93.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   93.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   93.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   93.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   93.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   93.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   93.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   93.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   93.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   93.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   93.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   93.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   93.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   93.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   93.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   93.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   93.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   93.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   93.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   93.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   93.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   93.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   93.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   93.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   93.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   93.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   93.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   93.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   93.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   93.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   93.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   93.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   93.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   93.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   93.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   93.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   93.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   93.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   93.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   93.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   93.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   93.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   93.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   93.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   93.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   93.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   93.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   93.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   93.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   93.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   93.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   93.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   93.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   93.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   93.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   93.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   93.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   93.47 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   93.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   93.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   93.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   93.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   93.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   93.48 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   93.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   93.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   93.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   93.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   93.49 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   93.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   93.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   93.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   93.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   93.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   93.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   93.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   93.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   93.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   93.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   93.50 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   93.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   93.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   93.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   93.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   93.51 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   93.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   93.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   93.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   93.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   93.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   93.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   93.52 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   93.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   93.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   93.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   93.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   93.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   93.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   93.53 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   93.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   93.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   93.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   93.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   93.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   93.54 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   93.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   93.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   93.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   93.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   93.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   93.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   93.55 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   93.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   93.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   93.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   93.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   93.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   93.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   93.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   93.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   93.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   93.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   93.56 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   93.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   93.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   93.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   93.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   93.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   93.57 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   93.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   93.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   93.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   93.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   93.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   93.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   93.58 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   93.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   93.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   93.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   93.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   93.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   93.59 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   93.60 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   93.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   93.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   93.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   93.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   93.61 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   93.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   93.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   93.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   93.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   93.62 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   93.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   93.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   93.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   93.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   93.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   93.63 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   93.65 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2044" (27 / 28)
(   93.65 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   93.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   93.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   93.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   93.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   93.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   93.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   93.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   93.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   93.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   93.65 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   93.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   93.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   93.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   93.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   93.66 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   93.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   93.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   93.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   93.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   93.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   93.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   93.67 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   93.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   93.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   93.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   93.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   93.68 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   93.69 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   93.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   93.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   93.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   93.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   93.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   93.70 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   93.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   93.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   93.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   93.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   93.71 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   93.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   93.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   93.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   93.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   93.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   93.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   93.72 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   93.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   93.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   93.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   93.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   93.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   93.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   93.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   93.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   93.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   93.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   93.73 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   93.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   93.74 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   93.75 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   93.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   93.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   93.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   93.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   93.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   93.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   93.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   93.76 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   93.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   93.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   93.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   93.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   93.77 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   93.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   93.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   93.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   93.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   93.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   93.78 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   93.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   93.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   93.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   93.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   93.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   93.79 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   93.80 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   93.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   93.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   93.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   93.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   93.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   93.81 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   93.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   93.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   93.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   93.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   93.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   93.82 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   93.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   93.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   93.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   93.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   93.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   93.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   93.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   93.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   93.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   93.83 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   93.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   93.84 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   93.85 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   93.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   93.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   93.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   93.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   93.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   93.86 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   93.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   93.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   93.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   93.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   93.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   93.87 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   93.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   93.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   93.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   93.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   93.88 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   93.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   93.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   93.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   93.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   93.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   93.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   93.89 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   93.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   93.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   93.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   93.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   93.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   93.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   93.90 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   93.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   93.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   93.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   93.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   93.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   93.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   93.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   93.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   93.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   93.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   93.91 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   93.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   93.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   93.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   93.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   93.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   93.92 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   93.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
(   93.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 204
(   93.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 205
(   93.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 206
(   93.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 207
(   93.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 208
(   93.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 209
(   93.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 210
(   93.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 211
(   93.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 212
(   93.93 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 213
(   93.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 214
(   93.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 215
(   93.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 216
(   93.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 217
(   93.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 218
(   93.94 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 219
(   93.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 220
(   93.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 221
(   93.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 222
(   93.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 223
(   93.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 224
(   93.95 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 225
(   93.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 226
(   93.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 227
(   93.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 228
(   93.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 229
(   93.96 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 230
(   93.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 231
(   93.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 232
(   93.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 233
(   93.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 234
(   93.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 235
(   93.97 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 236
(   93.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 237
(   93.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 238
(   93.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 239
(   93.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 240
(   93.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 241
(   93.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 242
(   93.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 243
(   93.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 244
(   93.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 245
(   93.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 246
(   93.98 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 247
(   93.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 248
(   93.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 249
(   93.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 250
(   93.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 251
(   93.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 252
(   93.99 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 253
(   94.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 254
(   94.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 255
(   94.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 256
(   94.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 257
(   94.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 258
(   94.00 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 259
(   94.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 260
(   94.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 261
(   94.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 262
(   94.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 263
(   94.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 264
(   94.01 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 265
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 266
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 267
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 268
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 269
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 270
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 271
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 272
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 273
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 274
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 275
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 276
(   94.02 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 277
(   94.03 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 278
(   94.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 279
(   94.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 280
(   94.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 281
(   94.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 282
(   94.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 283
(   94.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 284
(   94.04 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 285
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 286
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 287
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 288
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 289
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 290
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 291
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 292
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 293
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 294
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 295
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 296
(   94.05 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 297
(   94.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 298
(   94.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 299
(   94.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 300
(   94.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 301
(   94.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 302
(   94.06 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 303
(   94.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 304
(   94.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 305
(   94.07 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 306
(   94.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 307
(   94.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 308
(   94.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 309
(   94.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 310
(   94.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 311
(   94.08 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 312
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 313
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 314
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 315
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 316
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 317
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 318
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 319
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 320
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 321
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 322
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 323
(   94.09 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 324
(   94.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 325
(   94.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 326
(   94.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 327
(   94.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 328
(   94.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 329
(   94.10 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 330
(   94.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 331
(   94.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 332
(   94.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 333
(   94.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 334
(   94.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 335
(   94.11 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 336
(   94.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 337
(   94.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 338
(   94.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 339
(   94.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 340
(   94.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 341
(   94.12 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 342
(   94.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 343
(   94.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 344
(   94.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 345
(   94.13 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 346
(   94.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 347
(   94.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 348
(   94.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 349
(   94.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 350
(   94.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 351
(   94.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 352
(   94.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 353
(   94.14 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 354
(   94.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 355
(   94.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 356
(   94.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 357
(   94.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 358
(   94.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 359
(   94.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 360
(   94.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 361
(   94.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 362
(   94.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 363
(   94.15 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 364
(   94.17 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2045" (28 / 28)
(   94.17 sec) Clustered ROM            : DEBUG           -> Sampling from 20 segments ...
(   94.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 0
(   94.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 1
(   94.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 2
(   94.17 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 3
(   94.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 4
(   94.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 5
(   94.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 6
(   94.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 7
(   94.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 8
(   94.18 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 9
(   94.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 10
(   94.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 11
(   94.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 12
(   94.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 13
(   94.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 14
(   94.19 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 15
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 16
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 17
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 18
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 19
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 20
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 21
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 22
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 23
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 24
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 25
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 26
(   94.20 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 27
(   94.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 28
(   94.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 29
(   94.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 30
(   94.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 31
(   94.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 32
(   94.21 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 33
(   94.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 34
(   94.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 35
(   94.22 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 36
(   94.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 37
(   94.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 38
(   94.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 39
(   94.23 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 40
(   94.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 41
(   94.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 42
(   94.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 43
(   94.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 44
(   94.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 45
(   94.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 46
(   94.24 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 47
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 48
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 49
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 50
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 51
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 52
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 53
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 54
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 55
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 56
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 57
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 58
(   94.25 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 59
(   94.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 60
(   94.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 61
(   94.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 62
(   94.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 63
(   94.26 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 64
(   94.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 65
(   94.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 66
(   94.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 67
(   94.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 68
(   94.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 69
(   94.27 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 70
(   94.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 71
(   94.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 72
(   94.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 73
(   94.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 74
(   94.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 75
(   94.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 76
(   94.28 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 77
(   94.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 78
(   94.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 79
(   94.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 80
(   94.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 81
(   94.29 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 82
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 83
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 84
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 85
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 86
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 87
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 88
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 89
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 90
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 91
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 92
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 93
(   94.30 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 94
(   94.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 95
(   94.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 96
(   94.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 97
(   94.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 98
(   94.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 99
(   94.31 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 100
(   94.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 101
(   94.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 102
(   94.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 103
(   94.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 104
(   94.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 105
(   94.32 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 106
(   94.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 107
(   94.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 108
(   94.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 109
(   94.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 110
(   94.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 111
(   94.33 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 112
(   94.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 113
(   94.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 114
(   94.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 115
(   94.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 116
(   94.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 117
(   94.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 118
(   94.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 119
(   94.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 120
(   94.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 121
(   94.34 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 122
(   94.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 123
(   94.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 124
(   94.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 125
(   94.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 126
(   94.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 127
(   94.35 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 128
(   94.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 129
(   94.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 130
(   94.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 131
(   94.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 132
(   94.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 133
(   94.36 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 134
(   94.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 135
(   94.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 136
(   94.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 137
(   94.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 138
(   94.37 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 139
(   94.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 140
(   94.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 141
(   94.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 142
(   94.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 143
(   94.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 144
(   94.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 145
(   94.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 146
(   94.38 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 147
(   94.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 148
(   94.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 149
(   94.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 150
(   94.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 151
(   94.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 152
(   94.39 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 153
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 154
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 155
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 156
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 157
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 158
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 159
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 160
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 161
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 162
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 163
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 164
(   94.40 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 165
(   94.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 166
(   94.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 167
(   94.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 168
(   94.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 169
(   94.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 170
(   94.41 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 171
(   94.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 172
(   94.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 173
(   94.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 174
(   94.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 175
(   94.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 176
(   94.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 177
(   94.42 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 178
(   94.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 179
(   94.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 180
(   94.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 181
(   94.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 182
(   94.43 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 183
(   94.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 184
(   94.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 185
(   94.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 186
(   94.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 187
(   94.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 188
(   94.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 189
(   94.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 190
(   94.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 191
(   94.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 192
(   94.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 193
(   94.44 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 194
(   94.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 195
(   94.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 196
(   94.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 197
(   94.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 198
(   94.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 199
(   94.45 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 200
(   94.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 201
(   94.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 202
(   94.46 sec) Clustered ROM            : DEBUG           -> Evaluating ROM segment 203
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(   95.00 sec) PointSet                 : Warning         -> Nothing to write to CSV! Checking metadata ...
(   95.00 sec) STEP MULTIRUN            : DEBUG           -> Just collected job 1 and sent to output "test2"
(   95.62 sec) STEP MULTIRUN            : DEBUG           -> Just collected job 1 and sent to output "synthetic"
(   95.66 sec) DataSet                  : DEBUG           -> Had an issue with setting scaling factors for variable "prefix". No big deal.
(   95.66 sec) DataSet                  : DEBUG           -> Printing data from "synthetic" to CSV: "synthetic.csv"
(   98.90 sec) DataSet                  : DEBUG           -> Printing metadata XML: "synthetic.xml"
(   98.91 sec) STEP MULTIRUN            : DEBUG           -> Just collected job 1 and sent to output "synthetic"
(   98.91 sec) STEP MULTIRUN            : DEBUG           -> Testing if the sampler is ready to generate a new input
(   98.91 sec) SAMPLER MONTECARLO       : DEBUG           -> Sampling limit reached! No new samples ...
(   98.91 sec) STEP MULTIRUN            : DEBUG           ->  ... sampler has no new inputs currently.
(   98.91 sec) SAMPLER MONTECARLO       : DEBUG           -> Sampling limit reached! No new samples ...
(   98.91 sec) STEP MULTIRUN            : DEBUG           -> Sampling finished with 1 runs submitted, 0 jobs running, and 0 completed jobs waiting to be processed.
(   98.91 sec) SAMPLER MONTECARLO       : DEBUG           -> ===============
(   98.91 sec) SAMPLER MONTECARLO       : DEBUG           -> | RUN SUMMARY |
(   98.91 sec) SAMPLER MONTECARLO       : DEBUG           -> ===============
(   98.91 sec) SAMPLER MONTECARLO       : DEBUG           -> All runs completed without returning errors.
(   98.91 sec) SAMPLER MONTECARLO       : DEBUG           -> ===============
(   98.91 sec) SAMPLER MONTECARLO       : DEBUG           ->   END SUMMARY
(   98.91 sec) SAMPLER MONTECARLO       : DEBUG           -> ===============
(   98.91 sec) STEP MULTIRUN            : Message         -> ***       Run finished        ***
(   98.91 sec) STEP MULTIRUN            : Message         -> ***     Closing the step      ***
(   98.91 sec) STEP MULTIRUN            : Message         -> ***        Step closed        ***
(   98.91 sec) SIMULATION               : Message         -> -- End step sample of type: MultiRun --

--------------------------------------------------
There were 2 warnings during the simulation run:
(2 times) Nothing to write to CSV! Checking metadata ...
--------------------------------------------------
(   98.92 sec) SIMULATION               : DEBUG           -> Wed Mar 15 21:25:41 2023
(   98.92 sec) SIMULATION               : Message         -> Run complete!

Years Used in Demonstration

Previously, we did not use the entire dataset in lmp_signal.json. Instead, we used the LMP signal only for the years 2022 and 2032. We assume that the plant lifetime is twenty years. We used the 2022 LMP signal for the first ten years (i.e., 2022 - 2031), and the 2032 LMP signal for the next ten years (i.e., 2032 - 2041).

Here, the user must specify the plant life, the specific years to sample and how many years each specific year should represent. For example, to use 2022 for 10 years and 2032 for the remaining 10 years, the user would specify: years_to_sample = [2022, 2032] and years_per_set = [10, 10]. The code below checks that years per set sum up to the intended plant life.

NOTE: The ARMA model will have been previously trained on a specific range of years. The provided model, for example, was trained from a dataset between 2018-2021 and then interpolated until the year 2045. The user must request years within the domain of the ARMA model.

[7]:

# Define Time sets
plant_life = 20
years_to_sample = [2022, 2032] # make sure these years are included in the ARMA, otherwise an error will be raised
years_per_set   = [10, 10] # has to be same length as `years_to_sample`

# make sure that sampled years sum up to plant life
assert sum(years_per_set) == plant_life
project_year_map = [[y]*n for y,n in zip(years_to_sample, years_per_set)]
project_year_map = np.array(sum(project_year_map, [])) # some magic to flatten the list, had trouble when list of lists had more than 2 entries

# location of trained ARMA model file
cwd = os.getcwd()
targetFile = cwd + "\\ARMA_Model\\output\\arma.pk"
synHistIntegration = SynHist_integration(targetFile) # this object used to generate histories

# generate single synthetic history / sampled scenario
synHistDict = synHistIntegration.generateSyntheticHistory("price", years_to_sample)

# LMP Signal
LMP = synHistDict["LMP"]
weights_days = synHistDict["weights_days"]

# making sure that requested simulation years are found in ARMA model
assert [ys in LMP.keys() for ys in years_to_sample]

InputData: Using param spec "pickledROM" to read XML node "ROM.
(  101.07 sec) Interp. Cluster ROM      : DEBUG           -> Evaluating interpolated ROM ...
(  101.08 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2018" (1 / 28)
(  102.08 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2019" (2 / 28)
(  102.11 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2020" (3 / 28)
(  102.15 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2021" (4 / 28)
(  102.19 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2022" (5 / 28)
(  102.24 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2023" (6 / 28)
(  102.27 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2024" (7 / 28)
(  102.31 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2025" (8 / 28)
(  102.35 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2026" (9 / 28)
(  102.39 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2027" (10 / 28)
(  102.43 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2028" (11 / 28)
(  102.46 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2029" (12 / 28)
(  102.49 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2030" (13 / 28)
(  102.53 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2031" (14 / 28)
(  102.56 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2032" (15 / 28)
(  102.58 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2033" (16 / 28)
(  102.62 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2034" (17 / 28)
(  102.66 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2035" (18 / 28)
(  102.69 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2036" (19 / 28)
(  102.73 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2037" (20 / 28)
(  102.75 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2038" (21 / 28)
(  102.79 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2039" (22 / 28)
(  102.83 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2040" (23 / 28)
(  102.86 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2041" (24 / 28)
(  102.89 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2042" (25 / 28)
(  102.93 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2043" (26 / 28)
(  102.96 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2044" (27 / 28)
(  102.99 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2045" (28 / 28)

We use the MultiPeriodModel class in IDAES to formulate the multi-period optimization problem and specify the following arguments - n_time_points: Number of elements in $\mathcal{T}$ - set_days: The set of clusters/representative days - set_years: The set of years - process_model_func: Function that builds an instance of the process flowsheet - initialization_func: Function that initializes an instance of the process flowsheet - unfix_dof_func: Function that unfixes a degrees of freedom for optimization - linking_variable_func: Function that yields pairs of variables that are connected across two consecutive time periods - flowsheet_options: Dictionary containing arguments required for process_model_func - initialization_options: Dictionary containing arguments required for initialization_func - use_stochastic_build: If True, uses the generalized method, build_stochastic_multi_period, for formulating the multi-period problem. - outlvl: Output level

For our problem, n_time_points=24,set_days=[1, 2, ..., 20], set_years=[2022, 2032], process_model_func=build_ne_flowsheet, initialization_func=fix_dof_and_initialize. We now construct two functions, unfix_dof and get_linking_variable_pairs, for unfix_dof and linking_variable_func arguments.

unfix_dof unfixes a few degrees of freedom for optimization. In particular, it - Unfixes the split fractions of the power splitter. The optimizer then determines the optimal split fraction of the electricity to the grid, and to the PEM electrolyzer. - Unfixes the initial tank holdup. The initial tank holdup is governed by the final tank holdup at the previous hour. - Unfixes the molar flow rate of hydrogen to the turbine and to the pipeline. - Unfixes the molar flow rate of air to the turbine. - Adds a constraint to fix the ratio of molar flow rate of air to molar flowrate of hydrogen (fuel-air ratio). - Specifies a small non-zero bounds on a few flow variables to avoid convergence issues.

[8]:

def unfix_dof(m, air_h2_ratio=10.76):
    """
    This function unfixes a few degrees of freedom for optimization
    """
    # Unfix the electricity split in the electrical splitter
    m.fs.np_power_split.split_fraction["np_to_grid", 0].unfix()

    # Unfix the holdup_previous and outflow variables
    m.fs.h2_tank.tank_holdup_previous.unfix()
    m.fs.h2_tank.outlet_to_turbine.flow_mol.unfix()
    m.fs.h2_tank.outlet_to_pipeline.flow_mol.unfix()

    # Unfix the flowrate of air to the mixer
    m.fs.mixer.air_feed.flow_mol.unfix()

    # Add a constraint to maintain the air to hydrogen flow ratio
    m.fs.mixer.air_h2_ratio = Constraint(
        expr=m.fs.mixer.air_feed.flow_mol[0] ==
             air_h2_ratio * m.fs.mixer.hydrogen_feed.flow_mol[0])

    # Set bounds on variables. A small non-zero value is set as the lower
    # bound on molar flowrates to avoid convergence issues
    m.fs.pem.outlet.flow_mol[0].setlb(0.001)

    m.fs.h2_tank.inlet.flow_mol[0].setlb(0.001)
    m.fs.h2_tank.outlet_to_turbine.flow_mol[0].setlb(0.001)
    m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].setlb(0.001)

    m.fs.translator.inlet.flow_mol[0].setlb(0.001)
    m.fs.translator.outlet.flow_mol[0].setlb(0.001)

    m.fs.mixer.hydrogen_feed.flow_mol[0].setlb(0.001)

[9]:

def get_linking_variable_pairs(ct, ft):
    """Yield pairs of variables that need to be connected across time periods.

    The only variable that is connected across two time periods is the tank holdup.

    Args:
        ct: current time step
        ft: the next time step
    """
    return [(ct.fs.h2_tank.tank_holdup[0], ft.fs.h2_tank.tank_holdup_previous[0])]

[10]:

def add_capacity_variables(m):

    """
    This function declares the first-stage variables or design decisions, and
    adds constraints that ensure that the operational variables never exceed their
    design values.
    """
    if hasattr(m, "set_period"):
        set_period = m.set_period
    else:
        set_period = m.parent_block().set_period

    # Declare first-stage variables (Design decisions)
    m.pem_capacity = Var(
        within=NonNegativeReals,
        doc="Maximum capacity of the PEM electrolyzer (in kW)",
        units=pyunits.kW,
    )
    m.tank_capacity = Var(
        within=NonNegativeReals,
        doc="Maximum holdup of the tank (in mol)",
        units=pyunits.mol,
    )
    m.h2_turbine_capacity = Var(
        within=NonNegativeReals,
        doc="Maximum power output from the turbine (in W)",
        units=pyunits.W,
    )

    m.pem_capacity_constraint = Constraint(set_period)
    m.tank_capacity_constraint = Constraint(set_period)
    m.turbine_capacity_constraint = Constraint(set_period)

    for t in set_period:
        # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity
        m.pem_capacity_constraint.add(
            t, m.period[t].fs.pem.electricity[0] <= m.pem_capacity
        )
        # Ensure that the final tank holdup does not exceed the tank capacity
        m.tank_capacity_constraint.add(
            t, m.period[t].fs.h2_tank.tank_holdup[0] <= m.tank_capacity
        )
        # Ensure that the power generated by the turbine does not exceed the turbine capacity
        m.turbine_capacity_constraint.add(
            t, - m.period[t].fs.h2_turbine.work_mechanical[0] <= m.h2_turbine_capacity
        )

Next, we use the MultiPeriodModel class to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \le 0$ $\forall \; t \in \mathcal{T}$ and $\forall \; d \in \mathcal{C}$. It creates an instance of the flowsheet (using the build_ne_flowsheet function) for each time instance, fixes its degrees of freedom and initializes it (using the fix_dof_and_initialize function), unfixes operational degrees of freedom (using the unfix_dof function), and adds constraints of the form $f(u_{t-1,d}, u_{t,d}) = 0$ (using the get_linking_variable_pairs functions). Then, we add the capacity constraints of the form $u_{t,d} \le D$ using add_capacity_variables function.

Tip: Building the multiperiod model can take some time. To monitor the progress, set outlvl=logging.INFO

[11]:

set_years = list(years_to_sample)                          # Set of unique years to simulate
set_days = list(LMP[set_years[0]].keys())                  # e.g., twenty clusters/days per year
n_time_points = len(LMP[set_years[0]][set_days[0]].keys()) # e.g., twenty fours in a day

# Formulate the multiperiod optimization problem
m = MultiPeriodModel(
    n_time_points=n_time_points,
    set_days=set_days,
    set_years=set_years,
    process_model_func=build_ne_flowsheet,
    initialization_func=fix_dof_and_initialize,
    unfix_dof_func=unfix_dof,
    linking_variable_func=get_linking_variable_pairs,
    flowsheet_options={"np_capacity": 1000},
    initialization_options={
        "split_frac_grid": 0.8,
        "tank_holdup_previous": 0,
        "flow_mol_to_pipeline": 10,
        "flow_mol_to_turbine": 10,
    },
    use_stochastic_build=True,
    outlvl=logging.WARNING,
)

# Add first-stage variables
add_capacity_variables(m)

[+   0.00] Beginning the formulation of the multiperiod optimization problem.
[+ 180.46] Completed the formulation of the multiperiod optimization problem.
2023-03-15 21:28:46 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.
[+   5.36] Created an instance of the flowsheet and initialized it.
[+  12.02] Initialized the entire multiperiod optimization model.
[+   0.35] Unfixed the degrees of freedom from each period model.

Next, we fix initial tank holdup at the beginning of each day, and set an upper bound on the amount of hydrogen than can be sold to the market.

[12]:

# Define parameters
m.plant_life = plant_life                    # Plant lifetime: 20 years
m.project_years = project_year_map           # array of years in project life, used when preparing TEAL objects
m.tax_rate = 0.2                             # Corporate tax rate: 20%
m.discount_rate = 0.08                       # Discount rate: 8%
m.h2_demand = 1                              # Maximum amount of hydrogen that can be sold: 1 kg/s

m.LMP = LMP
m.weights_days = weights_days
MW_H2 = 2.016e-3

# Set initial holdup for each day (Assumed to be zero at the beginning of each day)
for y in m.set_years:
    for d in m.set_days:
        m.period[1, d, y].fs.h2_tank.tank_holdup_previous.fix(0)

# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s
@m.Constraint(m.set_period)
def hydrogen_demand_constraint(blk, t, d, y):
    return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / MW_H2

Cash Flow Values

We use the numbers in the table below for constructing the cash flow expressions.

Unit	CAPEX	Fixed O&M	Variable O&M
PEM Electrolyzer	$1630 /kW	$47.9 /kW	$1.3 /MWh
Hydrogen tank	$29 /kWh	0	0
Hydrogen turbine	$947 /kW	$7 /kW	$4.25 /Mwh

We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable.

Define TEAL Component Cash Flows

We now add a template dictionary with all the Nuclear Case components. Each plant component has nested dictionaries for each desired TEAL cash flow. Note that all cash flows are defined as:

\[C_y = m \alpha_y \bigg(\frac{D_y}{D^{\prime}}\bigg)^X\]

The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $D^{\prime}$ the reference driver corresponding to $\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.

The cash flow dictionaries below must have: 1. an Expression: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$) 2. a Value: the cost per unit ($\alpha$) 3. a Multiplier: an extra multiplier to distinguish between +/- cash flows ($m$)

Each component must also have a Lifetime but all currently set to be the same. If a lifetime is less than the project simulation time, TEAL will create a new Capex cost to represent the unit reconstruction for the year. The reconstruction is assumed to be instantenous, so resource production instantly resumes.

The TEAL-DISPATCHES integration currently does not support scaling factors.

[13]:

components={
  # Electrolyzer: negative Cash flows
  "pem":{
    "Lifetime": 5,
    "Capex":{
        "Expressions": ['pem_capacity'],
        "Value": 1630, # $/kW
        "Multiplier": [-1],
        "Amortization":15,
    },
    "FixedOM":{
      "Expressions": ['pem_capacity'],
      "Value": 47.9, # $/kW
      "Multiplier": [-1],
    },
    "Hourly":{
      "Expressions": ['fs.pem.electricity'],
      "Value": 1.3e-3, # $/MWh -> $/kWh
      "Multiplier": [-1],
    },
  },
  # Hydrogen Tank: negative Cash flows
  "h2tank":{
    "Lifetime": 10,
    "Capex":{
      "Expressions": ['tank_capacity'],
      "Value": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol
      "Multiplier": [-1],
      "Amortization":15,
    },
  },
  # Hydrogen Turbine: negative Cash flows
  "h2turbine":{
    "Lifetime": 20,
    "Capex":{
      "Expressions": ['h2_turbine_capacity'],
      "Value": 0.947, # $/kW -> $/W
      "Multiplier": [-1],
      "Amortization":15,
    },
    "FixedOM":{
      "Expressions": ['h2_turbine_capacity'],
      "Value": 0.007, # $/kW -> $/W
      "Multiplier": [-1],
    },
    "Hourly":{
      "Expressions": ['fs.h2_turbine.work_mechanical'],
      "Value": 4.25e-6, # $/MWh -> $/Wh
      "Multiplier": [-1], # these values come out with correct sign in expression
    },
  },
  # Electricity Market: positive Cash flows
  "electricity_market":{
    "Lifetime": 20,
    "Hourly":{
      "Expressions": ['fs.np_power_split.np_to_grid_port.electricity',
        'fs.h2_turbine.work_mechanical',],
      "Value": [], # this is LMP in $/MWh, should be path str to ROM
      "Multiplier": [1e-3, -1e-6], # converting to $/kWh and $/Wh
    },
  },
  # Hydrogen Market: positive Cash flows
  "h2_market":{
    "Lifetime": 20,
    "Hourly":{
      "Expressions": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s
      "Value": 3.0, # this is $/kg
      "Multiplier":  [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr
    },
  },
}

Next, we initialize global Cash flow attributes within TEAL.

This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL global parameters.

[14]:

# using full plant life = 20 yrs
tealSettings = build_econ_settings(
    components,
    life=m.plant_life,
    dr=m.discount_rate,
    tax=m.tax_rate,
    metrics=['NPV'],
)

Here we iterate over all components within the components dictionary. For each component, we build a corresponding TEAL component object which holds all requested cash flows.

Afterwards, we call on TEAL to generate a summed Pyomo expression for all requested economic metrics (e.g., NPV).

[15]:

#=================================================
tealComponentList = []
for name, comp in components.items():
  tealComp = build_TEAL_Component(name, comp, m)
  tealComponentList.append(tealComp)

metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)

Proposed amortization schedule cannot be longer than intended project life.
Returning a shortened schedule: 3 yrs
DEBUGG amortizing cf: Cap
DEBUGG amort alpha: [ 0.      0.3333  0.4445  0.1481  0.0741  0.    ]
DEBUGG depre alpha: [ 0. -1. -1. -1. -1.  0.]
Proposed amortization schedule cannot be longer than intended project life.
Returning a shortened schedule: 7 yrs
DEBUGG amortizing cf: Cap
DEBUGG amort alpha: [ 0.      0.1429  0.2449  0.1749  0.1249  0.0893  0.0892  0.0893  0.0446
  0.      0.    ]
DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1.  0.  0.]
DEBUGG amortizing cf: Cap
DEBUGG amort alpha: [ 0.      0.05    0.095   0.0855  0.077   0.0693  0.0623  0.059   0.059
  0.0591  0.059   0.0591  0.059   0.0591  0.059   0.0591  0.0295  0.
  0.      0.      0.    ]
DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1.  0.
  0.  0.  0.]
CashFlow INFO (run): Starting CashFlow Run ...
CashFlow INFO (run): ... Checking if all drivers present ...
CashFlow INFO (checkDrivers): ... creating evaluation sequence ...
CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run): Component Lifetime Cashflow Calculations
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "pem_amortize_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "pem_depreciate_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "FixedOM" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2tank" CashFlow "Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2tank" CashFlow "h2tank_amortize_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2tank" CashFlow "h2tank_depreciate_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      11 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      12 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      13 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      14 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      15 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      16 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      17 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      18 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      19 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      20 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "h2turbine_amortize_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      18 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      19 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      20 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "h2turbine_depreciate_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      18 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      19 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      20 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "FixedOM" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "electricity_market" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2_market" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run): Project Lifetime Cashflow Calculations
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run):  ... project length: 21 years
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "pem" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    1: <class 'float'>
CashFlow INFO (proj comp):    2: <class 'float'>
CashFlow INFO (proj comp):    3: <class 'float'>
CashFlow INFO (proj comp):    4: <class 'float'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'float'>
CashFlow INFO (proj comp):    7: <class 'float'>
CashFlow INFO (proj comp):    8: <class 'float'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'float'>
CashFlow INFO (proj comp):   12: <class 'float'>
CashFlow INFO (proj comp):   13: <class 'float'>
CashFlow INFO (proj comp):   14: <class 'float'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'float'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "pem_amortize_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "pem_amortize_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'numpy.float64'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'numpy.float64'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "pem_depreciate_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "pem_depreciate_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'numpy.float64'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'numpy.float64'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "FixedOM" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "FixedOM":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "h2tank" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2tank" CashFlow "Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    1: <class 'float'>
CashFlow INFO (proj comp):    2: <class 'float'>
CashFlow INFO (proj comp):    3: <class 'float'>
CashFlow INFO (proj comp):    4: <class 'float'>
CashFlow INFO (proj comp):    5: <class 'float'>
CashFlow INFO (proj comp):    6: <class 'float'>
CashFlow INFO (proj comp):    7: <class 'float'>
CashFlow INFO (proj comp):    8: <class 'float'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'float'>
CashFlow INFO (proj comp):   12: <class 'float'>
CashFlow INFO (proj comp):   13: <class 'float'>
CashFlow INFO (proj comp):   14: <class 'float'>
CashFlow INFO (proj comp):   15: <class 'float'>
CashFlow INFO (proj comp):   16: <class 'float'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2tank_amortize_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2tank" CashFlow "h2tank_amortize_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2tank_depreciate_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2tank" CashFlow "h2tank_depreciate_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "h2turbine" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    1: <class 'float'>
CashFlow INFO (proj comp):    2: <class 'float'>
CashFlow INFO (proj comp):    3: <class 'float'>
CashFlow INFO (proj comp):    4: <class 'float'>
CashFlow INFO (proj comp):    5: <class 'float'>
CashFlow INFO (proj comp):    6: <class 'float'>
CashFlow INFO (proj comp):    7: <class 'float'>
CashFlow INFO (proj comp):    8: <class 'float'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'float'>
CashFlow INFO (proj comp):   11: <class 'float'>
CashFlow INFO (proj comp):   12: <class 'float'>
CashFlow INFO (proj comp):   13: <class 'float'>
CashFlow INFO (proj comp):   14: <class 'float'>
CashFlow INFO (proj comp):   15: <class 'float'>
CashFlow INFO (proj comp):   16: <class 'float'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2turbine_amortize_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "h2turbine_amortize_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2turbine_depreciate_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "h2turbine_depreciate_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "FixedOM" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "FixedOM":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "electricity_market" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "electricity_market" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "h2_market" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2_market" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run): Economic Indicator Calculations
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (FCFF): FCFF yearly (not discounted):
CashFlow INFO (FCFF): year, FCFF
CashFlow INFO (FCFF): 0: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 1: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 2: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 3: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 4: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 5: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 6: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 7: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 8: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 9: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 10: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 11: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 12: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 13: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 14: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 15: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 16: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 17: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 18: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 19: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 20: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (NPV): ... NPV: <class 'pyomo.core.expr.numeric_expr.SumExpression'>

TEAL Metrics and Cashflows

Here we print out some TEAL cashflows. Note that all Recurring cashflows (FixedOM, VarOM) are summed per year. Some expressions are printed out here per component.

[16]:

# Define the objective function
m.obj = Objective(expr=metrics['NPV'], sense=maximize)

# Print out cashflows grouped by component
grouped_cfs = metrics['all_data']
# printable_cfs = ['Cap', 'FixedOM', 'Hourly'] # NOTE: Hourly cashflows are summed per year, so are lengthy
printable_cfs = ['Cap', 'FixedOM']

for comp in components.keys():
  print("="*50)
  print(f"Cashflows for {comp}: \n")
  comp_cfs = grouped_cfs[comp]

  for cf_name, cf in comp_cfs.items():
    for print_cf_name in printable_cfs:
      if print_cf_name not in cf_name:
          continue
      print(cf_name + "-"*(50-len(cf_name)))
      cf_list = [f'{cf_} \n' for cf_ in cf]
      print(' '.join(cf_list))

==================================================
Cashflows for pem:

Cap-----------------------------------------------
-1630.0*pem_capacity
 0.0
 0.0
 0.0
 0.0
 -1630.0*pem_capacity
 0.0
 0.0
 0.0
 0.0
 -1630.0*pem_capacity
 0.0
 0.0
 0.0
 0.0
 -1630.0*pem_capacity
 0.0
 0.0
 0.0
 0.0
 0.0

pem_amortize_Cap----------------------------------
0.0
 531.6673843263133*pem_capacity
 693.8947016512686*pem_capacity
 226.25280150259144*pem_capacity
 110.78327908182804*pem_capacity
 0.0
 477.22756739679943*pem_capacity
 622.8436993895428*pem_capacity
 203.0857586169383*pem_capacity
 99.43968041495101*pem_capacity
 0.0
 428.36208839864906*pem_capacity
 559.0679291052085*pem_capacity
 182.29089354522284*pem_capacity
 89.25760388193437*pem_capacity
 0.0
 384.50016577663996*pem_capacity
 501.8224470446237*pem_capacity
 163.62530832205897*pem_capacity
 80.11811600257776*pem_capacity
 0.0

pem_depreciate_Cap--------------------------------
0.0
 -425.3339074610506*pem_capacity
 -555.1157613210148*pem_capacity
 -181.00224120207315*pem_capacity
 -88.62662326546244*pem_capacity
 0.0
 -381.78205391743955*pem_capacity
 -498.2749595116342*pem_capacity
 -162.46860689355066*pem_capacity
 -79.55174433196082*pem_capacity
 0.0
 -342.6896707189192*pem_capacity
 -447.25434328416674*pem_capacity
 -145.8327148361783*pem_capacity
 -71.4060831055475*pem_capacity
 0.0
 -307.600132621312*pem_capacity
 -401.45795763569896*pem_capacity
 -130.9002466576472*pem_capacity
 -64.0944928020622*pem_capacity
 0.0

FixedOM-------------------------------------------
0.0
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity
 -38.32*pem_capacity

==================================================
Cashflows for h2tank:

Cap-----------------------------------------------
-1.946851199*tank_capacity
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 -1.946851199*tank_capacity
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0

h2tank_amortize_Cap-------------------------------
0.0
 0.27225890191918495*tank_capacity
 0.4566208579844221*tank_capacity
 0.3191345843905703*tank_capacity
 0.22303016242128534*tank_capacity
 0.1560521376015772*tank_capacity
 0.1525457871756174*tank_capacity
 0.149452754474372*tank_capacity
 0.07304734310998291*tank_capacity
 0.0
 0.0
 0.21935780762441065*tank_capacity
 0.3678974300453612*tank_capacity
 0.25712534016545235*tank_capacity
 0.17969442731893256*tank_capacity
 0.1257305253862581*tank_capacity
 0.12290547416927429*tank_capacity
 0.12041343123707592*tank_capacity
 0.05885392515889244*tank_capacity
 0.0
 0.0

h2tank_depreciate_Cap-----------------------------
0.0
 -0.21780712153534795*tank_capacity
 -0.3652966863875377*tank_capacity
 -0.25530766751245626*tank_capacity
 -0.1784241299370283*tank_capacity
 -0.1248417100812618*tank_capacity
 -0.12203662974049394*tank_capacity
 -0.11956220357949762*tank_capacity
 -0.05843787448798634*tank_capacity
 0.0
 0.0
 -0.1754862460995285*tank_capacity
 -0.29431794403628897*tank_capacity
 -0.2057002721323619*tank_capacity
 -0.14375554185514608*tank_capacity
 -0.10058442030900648*tank_capacity
 -0.09832437933541945*tank_capacity
 -0.09633074498966075*tank_capacity
 -0.04708314012711396*tank_capacity
 0.0
 0.0

==================================================
Cashflows for h2turbine:

Cap-----------------------------------------------
-0.947*h2_turbine_capacity
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0

h2turbine_amortize_Cap----------------------------
0.0
 0.04633797854850074*h2_turbine_capacity
 0.08616041576191126*h2_turbine_capacity
 0.07588700206071412*h2_turbine_capacity
 0.06688197782277157*h2_turbine_capacity
 0.05890724579238864*h2_turbine_capacity
 0.05182515750476848*h2_turbine_capacity
 0.04803100749583101*h2_turbine_capacity
 0.04700443072871586*h2_turbine_capacity
 0.0460777609560936*h2_turbine_capacity
 0.04501663195951887*h2_turbine_capacity
 0.044129150684766145*h2_turbine_capacity
 0.043112896413417305*h2_turbine_capacity
 0.04226294637047165*h2_turbine_capacity
 0.04128966908998219*h2_turbine_capacity
 0.040475663097906914*h2_turbine_capacity
 0.01977177266417274*h2_turbine_capacity
 0.0
 0.0
 0.0
 0.0

h2turbine_depreciate_Cap--------------------------
0.0
 -0.0370703828388006*h2_turbine_capacity
 -0.06892833260952902*h2_turbine_capacity
 -0.06070960164857131*h2_turbine_capacity
 -0.05350558225821726*h2_turbine_capacity
 -0.04712579663391091*h2_turbine_capacity
 -0.04146012600381479*h2_turbine_capacity
 -0.038424805996664806*h2_turbine_capacity
 -0.03760354458297269*h2_turbine_capacity
 -0.036862208764874886*h2_turbine_capacity
 -0.036013305567615096*h2_turbine_capacity
 -0.03530332054781292*h2_turbine_capacity
 -0.03449031713073385*h2_turbine_capacity
 -0.03381035709637732*h2_turbine_capacity
 -0.03303173527198575*h2_turbine_capacity
 -0.03238053047832554*h2_turbine_capacity
 -0.015817418131338194*h2_turbine_capacity
 0.0
 0.0
 0.0
 0.0

FixedOM-------------------------------------------
0.0
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity
 -0.005600000000000001*h2_turbine_capacity

==================================================
Cashflows for electricity_market:

==================================================
Cashflows for h2_market:

[17]:

#=======================================
# Define the solver object. Using IPOPT
solver = get_solver()

# Solver the optimization problem
solver.solve(m, tee=True)

Ipopt 3.13.2: nlp_scaling_method=gradient-based
tol=1e-06


******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
 Ipopt is released as open source code under the Eclipse Public License (EPL).
         For more information visit http://projects.coin-or.org/Ipopt

This version of Ipopt was compiled from source code available at
    https://github.com/IDAES/Ipopt as part of the Institute for the Design of
    Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE
    Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.

This version of Ipopt was compiled using HSL, a collection of Fortran codes
    for large-scale scientific computation.  All technical papers, sales and
    publicity material resulting from use of the HSL codes within IPOPT must
    contain the following acknowledgement:
        HSL, a collection of Fortran codes for large-scale scientific
        computation. See http://www.hsl.rl.ac.uk.
******************************************************************************

This is Ipopt version 3.13.2, running with linear solver ma27.

Number of nonzeros in equality constraint Jacobian...:   580680
Number of nonzeros in inequality constraint Jacobian.:     7680
Number of nonzeros in Lagrangian Hessian.............:   195840

Total number of variables............................:   211163
                     variables with only lower bounds:    20123
                variables with lower and upper bounds:   176640
                     variables with only upper bounds:        0
Total number of equality constraints.................:   208280
Total number of inequality constraints...............:     3840
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:     3840

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0 -2.3801872e+09 1.75e+06 1.00e+02  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1 -2.9086321e+09 1.91e+05 2.05e+04  -1.0 2.80e+06    -  8.52e-04 8.91e-01f  1
   2 -2.9573471e+09 7.78e+03 1.21e+04  -1.0 5.00e+05    -  1.84e-03 9.90e-01f  1
   3 -2.9583279e+09 2.28e+02 5.69e+02  -1.0 1.00e+04    -  2.57e-01 9.71e-01f  1
   4 -2.9588416e+09 1.30e+02 4.14e+02  -1.0 3.96e+02    -  1.41e-01 4.23e-01f  1
   5 -2.9593213e+09 9.99e+01 1.38e+03  -1.0 7.35e+02    -  2.37e-01 3.55e-01f  1
   6 -2.9610005e+09 1.07e+00 2.04e+03  -1.0 5.50e+02    -  1.64e-01 1.00e+00f  1
   7 -2.9627601e+09 3.66e-01 3.12e+03  -1.0 5.81e+02    -  2.78e-01 1.00e+00f  1
   8 -2.9648370e+09 9.13e-02 9.21e+02  -1.0 2.33e+03    -  5.82e-03 1.00e+00f  1
   9 -2.9660801e+09 1.70e-02 5.96e+02  -1.0 2.36e+03    -  3.34e-01 7.12e-01f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  10 -2.9677367e+09 3.36e-04 4.14e+03  -1.0 2.48e+03    -  1.28e-02 7.94e-01f  1
  11 -2.9691228e+09 8.00e-06 2.45e+04  -1.0 1.22e+03    -  2.46e-01 8.10e-01f  1
  12 -2.9706166e+09 8.14e-07 1.36e+04  -1.0 2.11e+03    -  6.69e-02 8.72e-01f  1
  13 -2.9717860e+09 6.23e-08 2.01e+04  -1.0 9.75e+02    -  2.11e-01 8.75e-01f  1
  14 -2.9728325e+09 8.47e-09 1.58e+04  -1.0 5.85e+02    -  2.59e-01 9.03e-01f  1
  15 -2.9737115e+09 1.68e-09 7.09e+03  -1.0 7.17e+02    -  2.76e-01 9.21e-01f  1
  16 -2.9743577e+09 4.46e-10 7.20e+03  -1.0 9.74e+02    -  3.73e-01 9.41e-01f  1
  17 -2.9747730e+09 1.66e-10 6.63e+03  -1.0 1.50e+03    -  4.29e-01 9.47e-01f  1
  18 -2.9749726e+09 1.16e-10 5.97e+03  -1.0 2.41e+03    -  2.95e-01 9.39e-01f  1
  19 -2.9750151e+09 1.16e-10 4.01e+03  -1.0 2.97e+03    -  2.80e-01 7.00e-01f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  20 -2.9750238e+09 1.16e-10 1.74e+03  -1.0 3.43e+03    -  5.65e-01 5.62e-01f  1
  21 -2.9750145e+09 1.16e-10 8.85e+02  -1.0 5.04e+03    -  4.99e-01 5.24e-01f  1
  22 -2.9750019e+09 1.16e-10 6.16e+02  -1.0 4.83e+03    -  2.38e-01 3.49e-01f  1
  23 -2.9749865e+09 2.33e-10 1.32e+03  -1.0 4.15e+03    -  2.87e-01 4.76e-01f  1
  24 -2.9749735e+09 2.33e-10 7.56e+03  -1.0 3.17e+03    -  2.42e-01 5.07e-01f  1
  25 -2.9749692e+09 2.33e-10 7.60e+03  -1.0 7.83e+03    -  1.49e-01 2.43e-01f  1
  26 -2.9749575e+09 1.16e-10 1.29e+04  -1.0 8.07e+03    -  2.56e-01 8.81e-01f  1
  27 -2.9749564e+09 2.33e-10 6.19e+03  -1.0 1.89e+04    -  3.62e-01 2.85e-01f  1
  28 -2.9749532e+09 1.16e-10 1.78e+04  -1.0 1.16e+04    -  1.22e-01 6.32e-01f  1
  29 -2.9749481e+09 1.16e-10 7.34e+04  -1.0 4.43e+03    -  1.98e-01 1.00e+00f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  30 -2.9749450e+09 1.16e-10 4.57e+03  -1.0 3.03e+03    -  5.17e-01 1.00e+00f  1
  31 -2.9749417e+09 1.16e-10 1.18e+03  -1.0 3.31e+03    -  6.89e-01 1.00e+00f  1
  32 -2.9749370e+09 1.16e-10 5.51e+02  -1.0 5.64e+03    -  7.08e-01 1.00e+00f  1
  33 -2.9749332e+09 1.16e-10 1.65e+01  -1.0 5.56e+03    -  9.90e-01 1.00e+00f  1
  34 -2.9749319e+09 1.16e-10 4.26e+00  -1.0 3.28e+03    -  9.99e-01 1.00e+00f  1
  35 -2.9749319e+09 1.16e-10 5.09e-01  -1.0 8.57e+02    -  1.00e+00 1.00e+00f  1
  36 -2.9751155e+09 1.16e-10 1.36e+01  -1.7 3.59e+04    -  1.00e+00 1.00e+00f  1
  37 -2.9751158e+09 1.16e-10 2.39e-02  -1.7 6.52e+02    -  1.00e+00 1.00e+00f  1
  38 -2.9751494e+09 1.16e-10 4.44e+03  -3.8 9.24e+03    -  1.00e+00 7.37e-01f  1
  39 -2.9751557e+09 1.16e-10 8.56e+03  -3.8 2.47e+03    -  1.00e+00 5.37e-01f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  40 -2.9751576e+09 2.33e-10 5.07e+03  -3.8 1.11e+03    -  1.00e+00 4.01e-01f  1
  41 -2.9751581e+09 2.33e-10 3.99e+03  -3.8 8.77e+02    -  3.41e-01 2.15e-01f  1
  42 -2.9751584e+09 2.33e-10 3.13e+03  -3.8 8.85e+02    -  1.69e-01 2.14e-01f  1
  43 -2.9751586e+09 2.33e-10 2.50e+03  -3.8 9.46e+02    -  8.90e-02 2.03e-01f  1
  44 -2.9751587e+09 2.33e-10 2.00e+03  -3.8 3.10e+02    -  2.39e-01 2.00e-01f  1
  45 -2.9751588e+09 2.33e-10 1.72e+03  -3.8 1.99e+02    -  2.26e-01 1.37e-01f  1
  46 -2.9751588e+09 2.33e-10 1.68e+03  -3.8 1.42e+02    -  7.80e-02 2.72e-02f  1
  47 -2.9751588e+09 3.49e-10 1.39e+03  -3.8 1.49e+02    -  9.99e-02 1.73e-01f  1
  48 -2.9751589e+09 2.33e-10 1.06e+03  -3.8 1.16e+02    -  2.57e-01 2.39e-01f  1
  49 -2.9751589e+09 2.33e-10 9.31e+02  -3.8 6.91e+01    -  6.96e-02 1.18e-01f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  50 -2.9751589e+09 2.33e-10 7.04e+02  -3.8 6.44e+01    -  2.56e-01 2.44e-01f  1
  51 -2.9751590e+09 2.33e-10 4.47e+02  -3.8 4.54e+01    -  3.03e-01 3.65e-01f  1
  52 -2.9751590e+09 2.33e-10 3.56e+02  -3.8 2.67e+01    -  3.68e-01 2.04e-01f  1
  53 -2.9751590e+09 3.49e-10 3.03e+02  -3.8 1.89e+01    -  2.22e-01 1.52e-01f  1
  54 -2.9751590e+09 2.33e-10 2.02e+02  -3.8 1.67e+01    -  1.00e+00 6.23e-01f  1
  55 -2.9751590e+09 1.16e-10 3.58e+01  -3.8 4.73e+00    -  8.22e-01 8.23e-01f  1
  56 -2.9751590e+09 1.16e-10 1.80e-04  -3.8 9.66e-01    -  1.00e+00 1.00e+00f  1
  57 -2.9751590e+09 2.33e-10 3.81e+01  -5.7 2.68e+01    -  1.78e-01 2.57e-01f  1
  58 -2.9751591e+09 2.33e-10 2.50e+01  -5.7 1.83e+01    -  2.66e-01 1.23e-01f  1
  59 -2.9751591e+09 2.33e-10 1.86e+01  -5.7 1.37e+01    -  7.26e-02 9.52e-02f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  60 -2.9751591e+09 2.33e-10 1.88e+01  -5.7 1.20e+01    -  1.53e-01 1.34e-01f  1
  61 -2.9751591e+09 3.49e-10 1.50e+01  -5.7 1.18e+01    -  6.78e-02 8.02e-02f  1
  62 -2.9751591e+09 1.16e-10 1.97e+02  -5.7 1.11e+01    -  8.44e-02 7.97e-01f  1
  63 -2.9751591e+09 1.16e-10 1.83e+01  -5.7 1.46e+00    -  8.73e-01 1.00e+00f  1
  64 -2.9751591e+09 1.16e-10 8.57e-07  -5.7 1.64e-01    -  1.00e+00 1.00e+00f  1
  65 -2.9751591e+09 1.16e-10 1.21e-05  -7.0 2.27e-01    -  1.00e+00 1.00e+00f  1
  66 -2.9751591e+09 1.16e-10 1.60e-09  -7.0 7.23e-04    -  1.00e+00 1.00e+00h  1

Number of Iterations....: 66

                                   (scaled)                 (unscaled)
Objective...............:  -5.1949581959670141e+07   -2.9751591060821471e+09
Dual infeasibility......:   1.5989696344775267e-09    9.1573192486087556e-08
Constraint violation....:   1.1641532182693481e-10    1.1641532182693481e-10
Complementarity.........:   9.0985557317127613e-08    5.2107543345422932e-06
Overall NLP error.......:   9.0985557317127613e-08    5.2107543345422932e-06


Number of objective function evaluations             = 67
Number of objective gradient evaluations             = 67
Number of equality constraint evaluations            = 67
Number of inequality constraint evaluations          = 67
Number of equality constraint Jacobian evaluations   = 67
Number of inequality constraint Jacobian evaluations = 67
Number of Lagrangian Hessian evaluations             = 66
Total CPU secs in IPOPT (w/o function evaluations)   =     24.081
Total CPU secs in NLP function evaluations           =     13.237

EXIT: Optimal Solution Found.

[17]:

{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212120, 'Number of variables': 211163, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 39.7588574886322}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}

Verify that the solver converges to the optimal solution. We now print the results and answer the questions posed at the beginning of this notebook. To recall, we are interested in determining whether the following options are attractive (i.e., maximize NPV):

Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.
Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand.

[18]:

def generate_plots(m, d, y, set_time, lmp):
    LMP = [lmp[y][d][t] for t in set_time]

    # Power from nuclear power plant to the grid (convert it to MW)
    np_to_grid = [m.period[t, d, y].fs.np_power_split.split_fraction["np_to_grid", 0].value
                  for t in set_time]
    # Hydrogen production rate in the PEM electrolyzer (convert it to kg/hr)
    h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.013e-3 * 3600
                     for t in set_time]
    # Hydrogen flowrate to pipeline (convert it to kg/hr)
    h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.013e-3 * 3600
                      for t in set_time]
    # Hydrogen flowrate to turbine (convert it to kg/hr)
    h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.013e-3 * 3600
                     for t in set_time]

    # Plot the results
    if hasattr(m, "plot_lmp_and_schedule"):
        plot_lmp_and_schedule = m.plot_lmp_and_schedule

    else:
        plot_lmp_and_schedule = m.parent_block().plot_lmp_and_schedule

    plot_lmp_and_schedule(
        lmp=LMP,
        schedule={"power_to_grid": np_to_grid,
                  "h2_production": h2_production,
                  "h2_to_pipeline": h2_to_pipeline,
                  "h2_to_turbine": h2_to_turbine},
        y_label={"power_to_grid": "Split fraction to grid [-]",
                 "h2_production": "Hydrogen production (kg/hr)",
                 "h2_to_pipeline": "Hydrogen to pipeline (kg/hr)",
                 "h2_to_turbine": "Hydrogen to turbine (kg/hr)"},
        y_range={"power_to_grid": (0.5, 1.02),
                 "h2_production": (0, 4000),
                 "h2_to_pipeline": (0, 4000),
                 "h2_to_turbine": (-0.5, 10)},
    )

[19]:

# Print Results
print("Optimal PEM capacity    : ", m.pem_capacity.value * 1e-3, "MW")
print("Optimal tank capacity   : ", m.tank_capacity.value * 2.016e-3, "kg")
print("Optimal turbine capacity: ", m.h2_turbine_capacity.value * 1e-6, "MW")

# Using `generate_plots` we plot optimal operating conditions for a specific day
generate_plots(m, d=4, y=2022, set_time=m.set_time, lmp=m.LMP)

Optimal PEM capacity    :  0.0007913403626138728 MW
Optimal tank capacity   :  8.356852292030079e-06 kg
Optimal turbine capacity:  9.07620560052793e-05 MW

../_images/examples_multiperiod_design_pricetaker_wTEALandSynhist_37_1.png

[20]:

# Using `generate_plots` we plot optimal operating conditions for a specific day
generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)

../_images/examples_multiperiod_design_pricetaker_wTEALandSynhist_38_0.png

[21]:

# These optimization problems tend to be very large, so we
# delete the model after analyzing the results to save memory.
del m

Multiperiod Optimization Model: Stochastic

LMP Signal

As mentioned in the previous section, due to uncertainty in various factors such as weather, demand, etc., it is not possible to determine the future locational marginal price accurately. There are many approaches to take into account the uncertainty in the LMP signal during the decision making process. One such approach involves the generation of potential LMP scenarios along with their associated probabilities and use them to formulate a stochastic program.

Here, for demonstration, we consider two different realizations of the LMP signal (i.e., two scenarios: scenario 0 and scenario 1). These scenarios are sampled from the trained ARMA model used in the previous example.

[22]:

# number of requested scenarios/synthetic histories
num_scenarios = 2
set_scenarios = range(num_scenarios)

# empty dictionaries
LMP = {}
weights_days = {}

# Gather the LMP data needed for the stochastic case
# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]
for scenario in set_scenarios:
       # generate a new scenario
       synHistDict = synHistIntegration.generateSyntheticHistory("price", set_years)
       # save data to model
       LMP[scenario] = synHistDict['LMP']
       weights_days[scenario] = synHistDict['weights_days']

(  389.96 sec) Interp. Cluster ROM      : DEBUG           -> Evaluating interpolated ROM ...
(  389.96 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2018" (1 / 28)
(  389.98 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2019" (2 / 28)
(  390.00 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2020" (3 / 28)
(  390.01 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2021" (4 / 28)
(  390.02 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2022" (5 / 28)
(  390.04 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2023" (6 / 28)
(  390.05 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2024" (7 / 28)
(  390.06 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2025" (8 / 28)
(  390.08 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2026" (9 / 28)
(  390.09 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2027" (10 / 28)
(  390.11 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2028" (11 / 28)
(  390.11 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2029" (12 / 28)
(  390.13 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2030" (13 / 28)
(  390.15 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2031" (14 / 28)
(  390.16 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2032" (15 / 28)
(  390.18 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2033" (16 / 28)
(  390.20 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2034" (17 / 28)
(  390.21 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2035" (18 / 28)
(  390.23 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2036" (19 / 28)
(  390.25 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2037" (20 / 28)
(  390.26 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2038" (21 / 28)
(  390.27 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2039" (22 / 28)
(  390.29 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2040" (23 / 28)
(  390.30 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2041" (24 / 28)
(  390.31 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2042" (25 / 28)
(  390.32 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2043" (26 / 28)
(  390.34 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2044" (27 / 28)
(  390.36 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2045" (28 / 28)
(  390.36 sec) Interp. Cluster ROM      : DEBUG           -> Evaluating interpolated ROM ...
(  390.36 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2018" (1 / 28)
(  390.38 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2019" (2 / 28)
(  390.39 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2020" (3 / 28)
(  390.41 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2021" (4 / 28)
(  390.42 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2022" (5 / 28)
(  390.43 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2023" (6 / 28)
(  390.45 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2024" (7 / 28)
(  390.47 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2025" (8 / 28)
(  390.47 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2026" (9 / 28)
(  390.49 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2027" (10 / 28)
(  390.51 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2028" (11 / 28)
(  390.51 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2029" (12 / 28)
(  390.53 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2030" (13 / 28)
(  390.55 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2031" (14 / 28)
(  390.56 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2032" (15 / 28)
(  390.57 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2033" (16 / 28)
(  390.59 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2034" (17 / 28)
(  390.60 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2035" (18 / 28)
(  390.61 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2036" (19 / 28)
(  390.62 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2037" (20 / 28)
(  390.64 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2038" (21 / 28)
(  390.65 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2039" (22 / 28)
(  390.67 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2040" (23 / 28)
(  390.68 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2041" (24 / 28)
(  390.69 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2042" (25 / 28)
(  390.71 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2043" (26 / 28)
(  390.71 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2044" (27 / 28)
(  390.73 sec) Interp. Cluster ROM      : DEBUG           ->  ... evaluating macro step "2045" (28 / 28)

Next, we formulate an optimization problem of the form

\[\begin{split} \begin{aligned} \max_{D, D_s, u_{s, t, d}} \quad & \sum_s w_s \text{NPV}_s(D_s, u_{s, t, d})\\ & g(u_{s, t, d}) = 0, & & \forall \; t \in \mathcal{T}; \; \forall \; d \in \mathcal{C}; \forall\; s \in \mathcal{S} \\ & h(u_{s, t, d}) \le 0, & & \forall \; t \in \mathcal{T}; \; \forall \; d \in \mathcal{C}; \forall\; s \in \mathcal{S} \\ & f(u_{s, t-1, d}, u_{s, t, d}) = 0, & & \forall \; t \in \mathcal{T}; \; \forall \; d \in \mathcal{C}; \forall\; s \in \mathcal{S} \\ & u_{s, t, d} \le D_s, & & \forall \; t \in \mathcal{T}; \; \forall \; d \in \mathcal{C}; \forall\; s \in \mathcal{S}\\ & D_s = D, & & \forall\; s \in \mathcal{S} \end{aligned}\end{split}\]

Here, the sets $\mathcal{S} = \{0, 1\}$, $\mathcal{T} = \{1, \dots, 24\}$ and $\mathcal{C} = \{1, \dots, 20\}$ denote the the set of scenarios, the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (pem_capacity), tank (tank_capacity) and the turbine (turbine_capacity), and $D_s$ denotes the design decisions in scenario $s$. $u_{s, t, d}$ denotes the operating decisions (or, second-stage decisions) in scenario $s$, at time $t$ of day/cluster $d$. $g(u_{s, t, d}) = 0$ and $h(u_{s, t,d}) \le 0$ denote the flowsheet model, $f(u_{s, t-1,d}, u_{s, t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{s, t, d} \le D_s$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity) in scenario $s$. Finally, $D_s = D$ ensures that the design decisions are maintained the same in all scenarios (non-anticipativity constraints).

In the objective function, $w_s$ denotes the probability associated with scenario $s$, and $\text{NPV}_s$ stands for the net present value calculated in scenario $s$.

As before, we use the MultiPeriodModel class to formulate the stochastic multi-period optimization problem. In addition to all the arguments mentioned before, we also specify set_scenarios, the set of scenarios, as [0, 1].

[23]:

# Define sets
set_scenarios = list(set_scenarios)
set_years = list(years_to_sample)                             # Set of years
set_days = list(LMP[0][set_years[0]].keys())                  # e.g., twenty clusters/days per year
n_time_points = len(LMP[0][set_years[0]][set_days[0]].keys()) # e.g., twenty fours in a day

# Formulate the stochastic multiperiod optimization problem
m = MultiPeriodModel(
    n_time_points=n_time_points,
    set_days=set_days,
    set_years=set_years,
    set_scenarios=set_scenarios,
    process_model_func=build_ne_flowsheet,
    initialization_func=fix_dof_and_initialize,
    unfix_dof_func=unfix_dof,
    linking_variable_func=get_linking_variable_pairs,
    flowsheet_options={"np_capacity": 1000},
    initialization_options={
        "split_frac_grid": 0.8,
        "tank_holdup_previous": 0,
        "flow_mol_to_pipeline": 10,
        "flow_mol_to_turbine": 10,
    },
    use_stochastic_build=True,
    outlvl=logging.WARNING,
)

[+   0.00] Beginning the formulation of the multiperiod optimization problem.
[+ 309.26] Completed the formulation of the multiperiod optimization problem.
2023-03-15 21:35:43 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.
[+   5.48] Created an instance of the flowsheet and initialized it.
[+  24.09] Initialized the entire multiperiod optimization model.
[+   0.67] Unfixed the degrees of freedom from each period model.

[24]:

# Define parameters
m.plant_life = plant_life                    # Plant lifetime: 20 years
m.project_years = project_year_map           # array of years in project life, used when preparing TEAL objects
m.tax_rate = 0.2                             # Corporate tax rate: 20%
m.discount_rate = 0.08                       # Discount rate: 8%
m.h2_demand = 1                              # Maximum amount of hydrogen that can be sold: 1 kg/s
m.LMP = LMP
m.weights_days = weights_days

# Equal probability for all scenarios
m.weights_scenarios = {s: 1/num_scenarios for s in m.set_scenarios}

Next, add the connecting constraints and hydrogen demand constraints for each of the scenarios.

[25]:

for s in m.set_scenarios:
    # Add first-stage variables to each scenario
    add_capacity_variables(m.scenario[s])

    # Set initial holdup for each day (Assumed to be zero at the beginning of each day)
    for y in m.set_years:
        for d in m.set_days:
            m.scenario[s].period[1, d, y].fs.h2_tank.tank_holdup_previous.fix(0)

    # Hydrogen demand constraint.
    # Divide the RHS by the molecular mass to convert kg/s to mol/s
    obj = m.scenario[s]
    @obj.Constraint(m.set_time, m.set_days, m.set_years)
    def hydrogen_demand_constraint(blk, t, d, y):
        return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / MW_H2

[26]:

tealSettings = build_econ_settings(
    components,
    life=m.plant_life,
    dr=m.discount_rate,
    tax=m.tax_rate,
    metrics=['NPV'],
)

metrics_list = []
for s in m.set_scenarios:
    # Append cash flow expressions
    tealComponentList = []
    for name, comp in components.items():
        tealComp = build_TEAL_Component(name, comp, m, m.scenario[s], s)
        tealComponentList.append(tealComp)

    metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)
    metrics_list.append(metrics)

Proposed amortization schedule cannot be longer than intended project life.
Returning a shortened schedule: 3 yrs
DEBUGG amortizing cf: Cap
DEBUGG amort alpha: [ 0.      0.3333  0.4445  0.1481  0.0741  0.    ]
DEBUGG depre alpha: [ 0. -1. -1. -1. -1.  0.]
Proposed amortization schedule cannot be longer than intended project life.
Returning a shortened schedule: 7 yrs
DEBUGG amortizing cf: Cap
DEBUGG amort alpha: [ 0.      0.1429  0.2449  0.1749  0.1249  0.0893  0.0892  0.0893  0.0446
  0.      0.    ]
DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1.  0.  0.]
DEBUGG amortizing cf: Cap
DEBUGG amort alpha: [ 0.      0.05    0.095   0.0855  0.077   0.0693  0.0623  0.059   0.059
  0.0591  0.059   0.0591  0.059   0.0591  0.059   0.0591  0.0295  0.
  0.      0.      0.    ]
DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1.  0.
  0.  0.  0.]
CashFlow INFO (run): Starting CashFlow Run ...
CashFlow INFO (run): ... Checking if all drivers present ...
CashFlow INFO (checkDrivers): ... creating evaluation sequence ...
CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run): Component Lifetime Cashflow Calculations
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "pem_amortize_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "pem_depreciate_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "FixedOM" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2tank" CashFlow "Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2tank" CashFlow "h2tank_amortize_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2tank" CashFlow "h2tank_depreciate_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      11 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      12 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      13 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      14 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      15 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      16 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      17 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      18 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      19 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      20 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "h2turbine_amortize_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      18 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      19 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      20 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "h2turbine_depreciate_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      18 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      19 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      20 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "FixedOM" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "electricity_market" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2_market" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run): Project Lifetime Cashflow Calculations
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run):  ... project length: 21 years
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "pem" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    1: <class 'float'>
CashFlow INFO (proj comp):    2: <class 'float'>
CashFlow INFO (proj comp):    3: <class 'float'>
CashFlow INFO (proj comp):    4: <class 'float'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'float'>
CashFlow INFO (proj comp):    7: <class 'float'>
CashFlow INFO (proj comp):    8: <class 'float'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'float'>
CashFlow INFO (proj comp):   12: <class 'float'>
CashFlow INFO (proj comp):   13: <class 'float'>
CashFlow INFO (proj comp):   14: <class 'float'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'float'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "pem_amortize_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "pem_amortize_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'numpy.float64'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'numpy.float64'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "pem_depreciate_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "pem_depreciate_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'numpy.float64'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'numpy.float64'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "FixedOM" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "FixedOM":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "h2tank" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2tank" CashFlow "Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    1: <class 'float'>
CashFlow INFO (proj comp):    2: <class 'float'>
CashFlow INFO (proj comp):    3: <class 'float'>
CashFlow INFO (proj comp):    4: <class 'float'>
CashFlow INFO (proj comp):    5: <class 'float'>
CashFlow INFO (proj comp):    6: <class 'float'>
CashFlow INFO (proj comp):    7: <class 'float'>
CashFlow INFO (proj comp):    8: <class 'float'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'float'>
CashFlow INFO (proj comp):   12: <class 'float'>
CashFlow INFO (proj comp):   13: <class 'float'>
CashFlow INFO (proj comp):   14: <class 'float'>
CashFlow INFO (proj comp):   15: <class 'float'>
CashFlow INFO (proj comp):   16: <class 'float'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2tank_amortize_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2tank" CashFlow "h2tank_amortize_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2tank_depreciate_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2tank" CashFlow "h2tank_depreciate_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "h2turbine" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    1: <class 'float'>
CashFlow INFO (proj comp):    2: <class 'float'>
CashFlow INFO (proj comp):    3: <class 'float'>
CashFlow INFO (proj comp):    4: <class 'float'>
CashFlow INFO (proj comp):    5: <class 'float'>
CashFlow INFO (proj comp):    6: <class 'float'>
CashFlow INFO (proj comp):    7: <class 'float'>
CashFlow INFO (proj comp):    8: <class 'float'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'float'>
CashFlow INFO (proj comp):   11: <class 'float'>
CashFlow INFO (proj comp):   12: <class 'float'>
CashFlow INFO (proj comp):   13: <class 'float'>
CashFlow INFO (proj comp):   14: <class 'float'>
CashFlow INFO (proj comp):   15: <class 'float'>
CashFlow INFO (proj comp):   16: <class 'float'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2turbine_amortize_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "h2turbine_amortize_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2turbine_depreciate_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "h2turbine_depreciate_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "FixedOM" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "FixedOM":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "electricity_market" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "electricity_market" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "h2_market" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2_market" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run): Economic Indicator Calculations
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (FCFF): FCFF yearly (not discounted):
CashFlow INFO (FCFF): year, FCFF
CashFlow INFO (FCFF): 0: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 1: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 2: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 3: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 4: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 5: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 6: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 7: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 8: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 9: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 10: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 11: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 12: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 13: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 14: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 15: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 16: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 17: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 18: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 19: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 20: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (NPV): ... NPV: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
Proposed amortization schedule cannot be longer than intended project life.
Returning a shortened schedule: 3 yrs
DEBUGG amortizing cf: Cap
DEBUGG amort alpha: [ 0.      0.3333  0.4445  0.1481  0.0741  0.    ]
DEBUGG depre alpha: [ 0. -1. -1. -1. -1.  0.]
Proposed amortization schedule cannot be longer than intended project life.
Returning a shortened schedule: 7 yrs
DEBUGG amortizing cf: Cap
DEBUGG amort alpha: [ 0.      0.1429  0.2449  0.1749  0.1249  0.0893  0.0892  0.0893  0.0446
  0.      0.    ]
DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1.  0.  0.]
DEBUGG amortizing cf: Cap
DEBUGG amort alpha: [ 0.      0.05    0.095   0.0855  0.077   0.0693  0.0623  0.059   0.059
  0.0591  0.059   0.0591  0.059   0.0591  0.059   0.0591  0.0295  0.
  0.      0.      0.    ]
DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1.  0.
  0.  0.  0.]
CashFlow INFO (run): Starting CashFlow Run ...
CashFlow INFO (run): ... Checking if all drivers present ...
CashFlow INFO (checkDrivers): ... creating evaluation sequence ...
CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run): Component Lifetime Cashflow Calculations
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "pem_amortize_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "pem_depreciate_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "FixedOM" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "pem" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2tank" CashFlow "Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2tank" CashFlow "h2tank_amortize_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2tank" CashFlow "h2tank_depreciate_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      11 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      12 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      13 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      14 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      15 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      16 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      17 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      18 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      19 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      20 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "h2turbine_amortize_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      18 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      19 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife):      20 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "h2turbine_depreciate_Cap" ...
CashFlow INFO (compLife): ... reference :  1.000000000e+00
CashFlow INFO (compLife): ...   scale   :  1.000000000e+00
CashFlow INFO (compLife): ...    mult   :  1.000000000e+00
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , <class 'numpy.float64'>, <class 'float'>, <class 'float'>
CashFlow INFO (compLife):      1  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , <class 'numpy.float64'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>, <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      18 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      19 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife):      20 , <class 'numpy.float64'>, <class 'int'>, <class 'float'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "FixedOM" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2turbine" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "electricity_market" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (compLife): ---------------------------------------------------------------------------
CashFlow INFO (compLife): Computing LIFETIME cash flow for Component "h2_market" CashFlow "Hourly" ...
CashFlow INFO (compLife): LIFETIME cash flow summary by year:
CashFlow INFO (compLife):     year,   alpha   ,   driver  ,    cashflow
CashFlow INFO (compLife):      0  , -- N/A -- , -- N/A -- , <class 'float'>
CashFlow INFO (compLife):      1  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      2  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      3  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      4  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      5  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      6  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      7  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      8  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      9  , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      10 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      11 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      12 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      13 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      14 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      15 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      16 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      17 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      18 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      19 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      20 , -- N/A -- , -- N/A -- , <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (compLife):      21 , -- N/A -- , -- N/A -- , <class 'int'>
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run): Project Lifetime Cashflow Calculations
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run):  ... project length: 21 years
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "pem" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    1: <class 'float'>
CashFlow INFO (proj comp):    2: <class 'float'>
CashFlow INFO (proj comp):    3: <class 'float'>
CashFlow INFO (proj comp):    4: <class 'float'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'float'>
CashFlow INFO (proj comp):    7: <class 'float'>
CashFlow INFO (proj comp):    8: <class 'float'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'float'>
CashFlow INFO (proj comp):   12: <class 'float'>
CashFlow INFO (proj comp):   13: <class 'float'>
CashFlow INFO (proj comp):   14: <class 'float'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'float'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "pem_amortize_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "pem_amortize_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'numpy.float64'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'numpy.float64'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "pem_depreciate_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "pem_depreciate_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'numpy.float64'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'numpy.float64'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "FixedOM" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "FixedOM":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "pem" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "h2tank" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2tank" CashFlow "Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    1: <class 'float'>
CashFlow INFO (proj comp):    2: <class 'float'>
CashFlow INFO (proj comp):    3: <class 'float'>
CashFlow INFO (proj comp):    4: <class 'float'>
CashFlow INFO (proj comp):    5: <class 'float'>
CashFlow INFO (proj comp):    6: <class 'float'>
CashFlow INFO (proj comp):    7: <class 'float'>
CashFlow INFO (proj comp):    8: <class 'float'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'float'>
CashFlow INFO (proj comp):   12: <class 'float'>
CashFlow INFO (proj comp):   13: <class 'float'>
CashFlow INFO (proj comp):   14: <class 'float'>
CashFlow INFO (proj comp):   15: <class 'float'>
CashFlow INFO (proj comp):   16: <class 'float'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2tank_amortize_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2tank" CashFlow "h2tank_amortize_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2tank_depreciate_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2tank" CashFlow "h2tank_depreciate_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'numpy.float64'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "h2turbine" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    1: <class 'float'>
CashFlow INFO (proj comp):    2: <class 'float'>
CashFlow INFO (proj comp):    3: <class 'float'>
CashFlow INFO (proj comp):    4: <class 'float'>
CashFlow INFO (proj comp):    5: <class 'float'>
CashFlow INFO (proj comp):    6: <class 'float'>
CashFlow INFO (proj comp):    7: <class 'float'>
CashFlow INFO (proj comp):    8: <class 'float'>
CashFlow INFO (proj comp):    9: <class 'float'>
CashFlow INFO (proj comp):   10: <class 'float'>
CashFlow INFO (proj comp):   11: <class 'float'>
CashFlow INFO (proj comp):   12: <class 'float'>
CashFlow INFO (proj comp):   13: <class 'float'>
CashFlow INFO (proj comp):   14: <class 'float'>
CashFlow INFO (proj comp):   15: <class 'float'>
CashFlow INFO (proj comp):   16: <class 'float'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 1.0
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2turbine_amortize_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "h2turbine_amortize_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.02184
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "h2turbine_depreciate_Cap" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "h2turbine_depreciate_Cap":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'float'>
CashFlow INFO (proj comp):   18: <class 'float'>
CashFlow INFO (proj comp):   19: <class 'float'>
CashFlow INFO (proj comp):   20: <class 'numpy.float64'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "FixedOM" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "FixedOM":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.MonomialTermExpression'>
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2turbine" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "electricity_market" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "electricity_market" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp): ---------------------------------------------------------------------------
CashFlow INFO (proj comp): Computing PROJECT cash flow for Component "h2_market" ...
CashFlow INFO (proj comp):  ... component start: 0
CashFlow INFO (proj comp):  ... component end:   21
CashFlow INFO (proj comp):  ... inflation rate: 1.0
CashFlow INFO (proj comp):  ... tax rate: 0.8
CashFlow INFO (proj c_fl): --------------------------------------------------
CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow "Hourly" ...
CashFlow INFO (proj comp): Project Cashflow for Component "h2_market" CashFlow "Hourly":
CashFlow INFO (proj comp): Year, Time-Adjusted Value
CashFlow INFO (proj comp):    0: <class 'numpy.float64'>
CashFlow INFO (proj comp):    1: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    2: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    3: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    4: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    5: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    6: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    7: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    8: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):    9: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   10: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   11: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   12: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   13: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   14: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   15: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   16: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   17: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   18: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   19: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (proj comp):   20: <class 'pyomo.core.expr.numeric_expr.ProductExpression'>
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (run): Economic Indicator Calculations
CashFlow INFO (run): ==========================================================================================
CashFlow INFO (FCFF): FCFF yearly (not discounted):
CashFlow INFO (FCFF): year, FCFF
CashFlow INFO (FCFF): 0: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 1: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 2: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 3: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 4: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 5: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 6: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 7: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 8: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 9: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 10: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 11: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 12: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 13: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 14: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 15: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 16: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 17: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 18: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 19: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (FCFF): 20: <class 'pyomo.core.expr.numeric_expr.SumExpression'>
CashFlow INFO (NPV): ... NPV: <class 'pyomo.core.expr.numeric_expr.SumExpression'>

[27]:

# Add non-anticipativity constraints
m.pem_capacity = Var(within=NonNegativeReals,
                     doc="Design PEM capacity (in kW)")
m.tank_capacity = Var(within=NonNegativeReals,
                      doc="Design tank capacity (in mol)")
m.h2_turbine_capacity = Var(within=NonNegativeReals,
                            doc="Design turbine capacity (in W)")

@m.Constraint(m.set_scenarios)
def non_anticipativity_pem(blk, s):
    return blk.pem_capacity == blk.scenario[s].pem_capacity

@m.Constraint(m.set_scenarios)
def non_anticipativity_tank(blk, s):
    return blk.tank_capacity == blk.scenario[s].tank_capacity

@m.Constraint(m.set_scenarios)
def non_anticipativity_turbine(blk, s):
    return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity

[28]:

# pyomo expression for full metric wtih scenario weights applied
TEALMetric = sum( m.weights_scenarios[n] * scenario['NPV']
                        for n, scenario in enumerate(metrics_list) )

# Define the objective function
m.obj = Objective(expr=TEALMetric, sense=maximize)

# Define the solver object. Using the default solver: IPOPT
solver = get_solver()

# Solve the optimization problem0
solver.solve(m, tee=True)

Ipopt 3.13.2: nlp_scaling_method=gradient-based
tol=1e-06


******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
 Ipopt is released as open source code under the Eclipse Public License (EPL).
         For more information visit http://projects.coin-or.org/Ipopt

This version of Ipopt was compiled from source code available at
    https://github.com/IDAES/Ipopt as part of the Institute for the Design of
    Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE
    Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.

This version of Ipopt was compiled using HSL, a collection of Fortran codes
    for large-scale scientific computation.  All technical papers, sales and
    publicity material resulting from use of the HSL codes within IPOPT must
    contain the following acknowledgement:
        HSL, a collection of Fortran codes for large-scale scientific
        computation. See http://www.hsl.rl.ac.uk.
******************************************************************************

This is Ipopt version 3.13.2, running with linear solver ma27.

Number of nonzeros in equality constraint Jacobian...:  1161372
Number of nonzeros in inequality constraint Jacobian.:    15360
Number of nonzeros in Lagrangian Hessian.............:   391680

Total number of variables............................:   422329
                     variables with only lower bounds:    40249
                variables with lower and upper bounds:   353280
                     variables with only upper bounds:        0
Total number of equality constraints.................:   416566
Total number of inequality constraints...............:     7680
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds:     7680

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0 -2.3913672e+09 1.75e+06 1.00e+02  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1 -2.9218309e+09 1.92e+05 2.04e+04  -1.0 2.80e+06    -  1.28e-03 8.90e-01f  1
   2 -2.9713115e+09 7.84e+03 1.21e+04  -1.0 5.02e+05    -  1.24e-03 9.90e-01f  1
   3 -2.9722962e+09 2.31e+02 5.67e+02  -1.0 1.01e+04    -  3.43e-01 9.71e-01f  1
   4 -2.9728971e+09 1.28e+02 4.07e+02  -1.0 4.43e+02    -  6.75e-02 4.40e-01f  1
   5 -2.9732409e+09 1.14e+02 1.47e+03  -1.0 1.16e+03    -  2.17e-01 2.46e-01f  1
   6 -2.9749522e+09 9.52e-01 2.29e+03  -1.0 5.58e+02    -  1.66e-01 1.00e+00f  1
   7 -2.9767448e+09 2.28e-01 2.17e+03  -1.0 5.90e+02    -  2.67e-01 1.00e+00f  1
   8 -2.9788417e+09 4.26e-02 1.17e+03  -1.0 2.46e+03    -  5.75e-03 1.00e+00f  1
   9 -2.9801040e+09 8.74e-03 8.24e+02  -1.0 3.20e+03    -  2.82e-01 7.12e-01f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  10 -2.9816368e+09 6.37e-04 4.41e+03  -1.0 1.84e+03    -  2.70e-02 7.89e-01f  1
  11 -2.9829603e+09 4.55e-05 3.06e+04  -1.0 2.05e+03    -  1.49e-01 7.99e-01f  1
  12 -2.9842183e+09 1.08e-06 1.84e+04  -1.0 6.68e+02    -  2.90e-01 8.28e-01f  1
  13 -2.9856235e+09 1.53e-07 2.46e+04  -1.0 1.66e+03    -  8.48e-02 9.09e-01f  1
  14 -2.9866759e+09 1.73e-08 1.89e+04  -1.0 8.49e+02    -  2.75e-01 9.05e-01f  1
  15 -2.9875788e+09 3.09e-09 1.29e+04  -1.0 6.55e+02    -  2.64e-01 9.20e-01f  1
  16 -2.9882552e+09 7.67e-10 8.71e+03  -1.0 7.60e+02    -  3.60e-01 9.41e-01f  1
  17 -2.9886893e+09 2.36e-10 5.93e+03  -1.0 1.16e+03    -  5.10e-01 9.25e-01f  1
  18 -2.9888930e+09 1.16e-10 3.42e+03  -1.0 2.24e+03    -  4.49e-01 7.98e-01f  1
  19 -2.9889604e+09 1.16e-10 2.55e+03  -1.0 3.58e+03    -  3.65e-01 6.49e-01f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  20 -2.9889803e+09 1.16e-10 2.21e+03  -1.0 4.62e+03    -  4.49e-01 5.96e-01f  1
  21 -2.9889768e+09 2.33e-10 1.08e+03  -1.0 5.63e+03    -  4.80e-01 3.51e-01f  1
  22 -2.9889741e+09 2.33e-10 1.59e+03  -1.0 5.98e+03    -  1.81e-01 8.25e-02f  1
  23 -2.9889634e+09 2.33e-10 2.79e+03  -1.0 5.98e+03    -  1.11e-01 3.03e-01f  1
  24 -2.9889559e+09 2.33e-10 2.01e+03  -1.0 4.81e+03    -  2.54e-01 2.24e-01f  1
  25 -2.9889438e+09 2.33e-10 1.46e+04  -1.0 5.47e+03    -  1.03e-01 3.75e-01f  1
  26 -2.9889387e+09 2.33e-10 1.33e+04  -1.0 5.14e+03    -  1.76e-01 1.99e-01f  1
  27 -2.9889270e+09 2.33e-10 1.21e+04  -1.0 8.47e+03    -  2.54e-01 5.55e-01f  1
  28 -2.9889213e+09 1.16e-10 1.24e+04  -1.0 1.26e+04    -  2.69e-01 4.84e-01f  1
  29 -2.9889115e+09 1.16e-10 2.14e+04  -1.0 8.64e+03    -  1.73e-01 9.57e-01f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  30 -2.9889060e+09 1.16e-10 1.96e+04  -1.0 4.02e+03    -  4.26e-01 1.00e+00f  1
  31 -2.9889037e+09 1.16e-10 1.44e+03  -1.0 3.66e+03    -  6.11e-01 1.00e+00f  1
  32 -2.9888991e+09 1.16e-10 1.05e+03  -1.0 4.49e+03    -  6.89e-01 1.00e+00f  1
  33 -2.9888942e+09 1.16e-10 3.01e+02  -1.0 6.04e+03    -  8.48e-01 1.00e+00f  1
  34 -2.9888914e+09 1.16e-10 1.64e+01  -1.0 5.47e+03    -  9.90e-01 1.00e+00f  1
  35 -2.9888911e+09 1.16e-10 3.10e+00  -1.0 1.96e+03    -  1.00e+00 1.00e+00f  1
  36 -2.9888911e+09 1.16e-10 3.44e-02  -1.0 2.47e+02    -  1.00e+00 1.00e+00f  1
  37 -2.9890879e+09 1.16e-10 5.34e+02  -2.5 4.34e+04    -  1.00e+00 8.83e-01f  1
  38 -2.9891070e+09 1.16e-10 1.28e+04  -2.5 6.06e+03    -  1.00e+00 7.18e-01f  1
  39 -2.9891142e+09 1.16e-10 3.43e+00  -2.5 1.71e+03    -  1.00e+00 1.00e+00f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  40 -2.9891140e+09 1.16e-10 1.95e+00  -2.5 6.70e+01    -  1.00e+00 1.00e+00f  1
  41 -2.9891141e+09 1.16e-10 1.48e-01  -2.5 1.88e+01    -  1.00e+00 1.00e+00f  1
  42 -2.9891141e+09 1.16e-10 1.16e-03  -2.5 1.66e+00    -  1.00e+00 1.00e+00h  1
  43 -2.9891171e+09 2.33e-10 2.89e+03  -3.8 1.22e+03    -  1.00e+00 5.26e-01f  1
  44 -2.9891175e+09 2.33e-10 2.16e+03  -3.8 7.26e+02    -  2.41e-01 2.54e-01f  1
  45 -2.9891176e+09 2.33e-10 1.93e+03  -3.8 6.83e+02    -  1.34e-01 1.07e-01f  1
  46 -2.9891178e+09 2.33e-10 1.65e+03  -3.8 7.19e+02    -  2.57e-01 1.53e-01f  1
  47 -2.9891178e+09 2.33e-10 1.47e+03  -3.8 4.56e+02    -  9.76e-02 1.10e-01f  1
  48 -2.9891179e+09 3.49e-10 1.18e+03  -3.8 4.52e+02    -  2.31e-01 1.99e-01f  1
  49 -2.9891180e+09 2.33e-10 9.98e+02  -3.8 1.72e+02    -  1.84e-01 1.56e-01f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  50 -2.9891180e+09 3.49e-10 8.96e+02  -3.8 1.12e+02    -  1.07e-01 1.02e-01f  1
  51 -2.9891181e+09 3.49e-10 7.28e+02  -3.8 1.03e+02    -  2.26e-01 1.90e-01f  1
  52 -2.9891181e+09 3.49e-10 7.41e+02  -3.8 7.39e+01    -  3.00e-01 4.26e-02f  1
  53 -2.9891181e+09 3.49e-10 5.65e+02  -3.8 6.76e+01    -  5.45e-02 2.19e-01f  1
  54 -2.9891181e+09 3.49e-10 6.69e+02  -3.8 5.40e+01    -  3.68e-01 7.10e-02f  1
  55 -2.9891182e+09 2.33e-10 4.01e+02  -3.8 4.86e+01    -  1.40e-01 3.79e-01f  1
  56 -2.9891182e+09 2.33e-10 3.91e+02  -3.8 2.77e+01    -  2.56e-01 2.51e-02f  1
  57 -2.9891182e+09 2.33e-10 3.17e+02  -3.8 2.69e+01    -  6.63e-01 2.21e-01f  1
  58 -2.9891182e+09 2.33e-10 2.09e+02  -3.8 1.87e+01    -  9.67e-02 3.57e-01f  1
  59 -2.9891182e+09 1.16e-10 5.75e+01  -3.8 1.23e+01    -  2.85e-01 1.00e+00f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  60 -2.9891182e+09 1.16e-10 5.76e-05  -3.8 9.05e-01    -  1.00e+00 1.00e+00f  1
  61 -2.9891182e+09 2.33e-10 2.62e+00  -5.7 2.82e+01    -  1.48e-01 1.42e-01f  1
  62 -2.9891183e+09 2.33e-10 1.26e+02  -5.7 2.34e+01    -  1.43e-01 3.87e-01f  1
  63 -2.9891183e+09 1.16e-10 1.27e+02  -5.7 1.28e+01    -  4.07e-01 7.03e-01f  1
  64 -2.9891183e+09 1.16e-10 1.33e+01  -5.7 2.17e+00    -  8.74e-01 9.80e-01f  1
  65 -2.9891183e+09 1.16e-10 5.28e-06  -5.7 2.32e-01    -  1.00e+00 1.00e+00f  1
  66 -2.9891183e+09 1.16e-10 1.19e-05  -7.0 2.24e-01    -  1.00e+00 1.00e+00f  1
  67 -2.9891183e+09 1.16e-10 3.45e-09  -7.0 6.89e-04    -  1.00e+00 1.00e+00h  1

Number of Iterations....: 67

                                   (scaled)                 (unscaled)
Objective...............:  -1.0438665013664052e+08   -2.9891183046336989e+09
Dual infeasibility......:   3.4502390686548406e-09    9.8797813149274607e-08
Constraint violation....:   1.1641532182693481e-10    1.1641532182693481e-10
Complementarity.........:   9.1095560536311566e-08    2.6085271163843808e-06
Overall NLP error.......:   9.1095560536311566e-08    2.6085271163843808e-06


Number of objective function evaluations             = 68
Number of objective gradient evaluations             = 68
Number of equality constraint evaluations            = 68
Number of inequality constraint evaluations          = 68
Number of equality constraint Jacobian evaluations   = 68
Number of inequality constraint Jacobian evaluations = 68
Number of Lagrangian Hessian evaluations             = 67
Total CPU secs in IPOPT (w/o function evaluations)   =     54.251
Total CPU secs in NLP function evaluations           =     27.186

EXIT: Optimal Solution Found.

[28]:

{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 424246, 'Number of variables': 422329, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 87.91742634773254}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}

[29]:

# Print Results
print("Optimal PEM capacity    : ", m.pem_capacity.value * 1e-3, "MW")
print("Optimal tank capacity   : ", m.tank_capacity.value * 2.016e-3, "kg")
print("Optimal turbine capacity: ", m.h2_turbine_capacity.value * 1e-6, "MW")

Optimal PEM capacity    :  0.0007913341090725008 MW
Optimal tank capacity   :  5.774952800374157e-06 kg
Optimal turbine capacity:  9.076202218107123e-05 MW

[30]:

generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])

../_images/examples_multiperiod_design_pricetaker_wTEALandSynhist_52_0.png