Cosmic-ray flux vs. sky position

In [1]:

    

%load_ext watermark
%watermark -u -d -v -p numpy,scipy,pandas,sklearn,mlxtend


    

    




last updated: 2018-08-03 

CPython 2.7.13
IPython 5.7.0

numpy 1.14.5
scipy 1.1.0
pandas 0.23.1
sklearn 0.19.1
mlxtend 0.12.0

In [2]:

    

%load_ext autoreload
%autoreload 2


    

In [3]:

    

from __future__ import division, print_function
import os
import sys
from numbers import Number
import numpy as np
import pandas as pd
import healpy as hp
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
import seaborn as sns
import dask
from dask import delayed, compute
from dask.diagnostics import ProgressBar
import dask.array as da
import pyunfold

import comptools as comp
import sky_anisotropy as sa

color_dict = comp.color_dict

%matplotlib inline


    

In [4]:

    

config = 'IC86.2012'
num_groups = 2

comp_list = comp.get_comp_list(num_groups=num_groups)
energybins = comp.get_energybins(config)
num_ebins = len(energybins.log_energy_midpoints)

unfolding_dir  = os.path.join(comp.paths.comp_data_dir,
                              config,
                              'unfolding')


    

In [5]:

    

# Load DataFrame with saved prior distributions
df_file = os.path.join(unfolding_dir,
                       'unfolding-df_{}-groups.hdf'.format(num_groups))
df_priors = pd.read_hdf(df_file)
df_priors.head()


    

    
Out[5]:







  

    

      

      
counts
      
counts_err
      
efficiencies
      
efficiencies_err
      
broken_power_law_flux
      
broken_power_law_prior
      
simple_power_law_flux
      
simple_power_law_prior
      
H3a_flux
      
H3a_prior
      
H4a_flux
      
H4a_prior
    
    

      
log_energy_bin_idx
      

      

      

      

      

      

      

      

      

      

      

      

    
  
  

    

      
0
      
1071404.0
      
1035.086470
      
0.007119
      
0.000084
      
1.416780e-12
      
0.231674
      
1.416780e-12
      
0.231486
      
7.187420e-13
      
0.302586
      
7.333020e-13
      
0.306455
    
    

      
1
      
743932.0
      
862.514927
      
0.006400
      
0.000078
      
1.416780e-12
      
0.231674
      
1.416780e-12
      
0.231486
      
4.082709e-13
      
0.171880
      
4.023280e-13
      
0.168137
    
    

      
2
      
851277.0
      
922.646736
      
0.007928
      
0.000075
      
7.608561e-13
      
0.124416
      
7.608561e-13
      
0.124315
      
3.743101e-13
      
0.157582
      
3.821589e-13
      
0.159708
    
    

      
3
      
702982.0
      
838.440219
      
0.007473
      
0.000068
      
7.608561e-13
      
0.124416
      
7.608561e-13
      
0.124315
      
2.232925e-13
      
0.094005
      
2.198728e-13
      
0.091887
    
    

      
4
      
579872.0
      
761.493270
      
0.008373
      
0.000068
      
4.086039e-13
      
0.066816
      
4.086039e-13
      
0.066761
      
1.925426e-13
      
0.081059
      
1.967681e-13
      
0.082231
    
  

In [6]:

    

# Load simulation and train composition classifier
df_sim_train, df_sim_test = comp.load_sim(config=config,
#                                           energy_reco=True,
                                          energy_reco=False,
                                          log_energy_min=None,
                                          log_energy_max=None,
                                          test_size=0.5,
                                          n_jobs=10,
                                          verbose=True)


    

    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/dask/base.py:835: UserWarning: The get= keyword has been deprecated. Please use the scheduler= keyword instead with the name of the desired scheduler like 'threads' or 'processes'
  warnings.warn("The get= keyword has been deprecated. "






    




[########################################] | 100% Completed |  6.7s
[########################################] | 100% Completed |  0.1s

In [7]:

    

feature_list, feature_labels = comp.get_training_features()


    

In [14]:

    

print('Running energy reconstruction...')
energy_pipeline_name = 'linearregression'
# energy_pipeline_name = 'RF'
energy_pipeline = comp.load_trained_model('{}_energy_{}'.format(energy_pipeline_name, config))
for df in [df_sim_train, df_sim_test]:
    # Energy reconstruction
    df['reco_log_energy'] = energy_pipeline.predict(df[feature_list].values)
    df['reco_energy'] = 10**df['reco_log_energy']


    

    




Running energy reconstruction...

In [15]:

    

# Load fitted efficiencies and calculate effective areas
# eff_path = os.path.join(comp.paths.comp_data_dir, config, 'efficiencies',
#                         'efficiency_fit_num_groups_{}.hdf'.format(num_groups))
eff_path = comp.get_efficiencies_file(config=config,
                                      num_groups=num_groups,
                                      sigmoid='slant')
df_eff = pd.read_hdf(eff_path)
df_eff.head()


    

    
Out[15]:







  

    

      

      
eff_median_light
      
eff_err_low_light
      
eff_err_high_light
      
eff_median_heavy
      
eff_err_low_heavy
      
eff_err_high_heavy
      
eff_median_total
      
eff_err_low_total
      
eff_err_high_total
    
  
  

    

      
0
      
0.007116
      
0.000083
      
0.000084
      
0.006401
      
0.000086
      
0.000076
      
0.006736
      
0.000051
      
0.000058
    
    

      
1
      
0.007926
      
0.000072
      
0.000065
      
0.007473
      
0.000066
      
0.000069
      
0.007684
      
0.000045
      
0.000047
    
    

      
2
      
0.008371
      
0.000065
      
0.000067
      
0.008009
      
0.000065
      
0.000063
      
0.008192
      
0.000043
      
0.000047
    
    

      
3
      
0.008609
      
0.000071
      
0.000062
      
0.008274
      
0.000068
      
0.000064
      
0.008456
      
0.000045
      
0.000048
    
    

      
4
      
0.008735
      
0.000072
      
0.000067
      
0.008426
      
0.000066
      
0.000064
      
0.008601
      
0.000045
      
0.000049
    
  

In [16]:

    

# Get simulation thrown areas for each energy bin
thrown_radii = comp.simfunctions.get_sim_thrown_radius(energybins.log_energy_midpoints)
thrown_area = np.max(np.pi * thrown_radii**2)
thrown_area


    

    
Out[16]:





9079202.768874502

In [17]:

    

efficiencies, efficiencies_err = comp.get_detector_efficiencies(config=config,
                                                                num_groups=num_groups,
                                                                sigmoid='slant',
                                                                pyunfold_format=True)


    

In [18]:

    

efficiencies


    

    
Out[18]:





array([0.00711621, 0.00640114, 0.00792564, 0.00747336, 0.00837118,
       0.00800932, 0.00860879, 0.00827434, 0.00873487, 0.00842553,
       0.00880808, 0.00853552, 0.00885811, 0.00862577, 0.00889926,
       0.00871167, 0.00893319, 0.00879576, 0.00896376, 0.0088786 ,
       0.00899596, 0.00896131, 0.00902511, 0.00904439, 0.00905524,
       0.00912615, 0.00908302, 0.00920706, 0.00911336, 0.00928806,
       0.00914197, 0.00936856, 0.00917137, 0.00944958, 0.009201  ,
       0.00953194, 0.00922881, 0.00961275])

In [19]:

    

print('Running composition classifications...')
pipeline_str = 'xgboost_comp_{}_{}-groups'.format(config, num_groups)
comp_pipeline = comp.load_trained_model(pipeline_str)
pred_target = comp_pipeline.predict(df_sim_test[feature_list].values)


    

    




Running composition classifications...






    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:

In [20]:

    

df_sim_test['pred_comp_target'] = pred_target


    

In [21]:

    

print('Making response matrix...')
log_reco_energy_sim_test = df_sim_test['reco_log_energy']
log_true_energy_sim_test = df_sim_test['MC_log_energy']
true_target = df_sim_test['comp_target_{}'.format(num_groups)].values

response, response_err = comp.response_matrix(true_energy=log_true_energy_sim_test,
                                              reco_energy=log_reco_energy_sim_test,
                                              true_target=true_target,
                                              pred_target=pred_target,
                                              efficiencies=efficiencies,
                                              efficiencies_err=efficiencies_err,
                                              energy_bins=energybins.log_energy_bins)


    

    




Making response matrix...






    




/home/jbourbeau/cr-composition/comptools/data_functions.py:25: RuntimeWarning: invalid value encountered in true_divide
  ratio_err = np.abs(ratio) * np.sqrt((num_err / num)**2 + (den_err / den)**2)

In [22]:

    

np.testing.assert_allclose(response.sum(axis=0), efficiencies)


    

In [30]:

    

fig, ax = plt.subplots()
im = ax.imshow(response, origin='lower')
plt.colorbar(im, label='$\mathrm{P(E_i | C_{\mu})}$')
ax.set_xlabel('True bins')
ax.set_ylabel('Reconstructed bins')

outfile = os.path.join(comp.paths.figures_dir,
                       'unfolding',
                       config,
                       'response_matrix',
                       'response-matrix_{}-groups.png'.format(num_groups))
plt.savefig(outfile)

plt.show()


    

In [31]:

    

# print('Loading data into memory...')
# df_data = comp.load_data(config=config,
#                          energy_reco=True,
#                          log_energy_min=6.1,
#                          log_energy_max=8.0,
#                          columns=feature_list + ['lap_ra', 'lap_dec'],
#                          n_jobs=20,
#                          verbose=True)


    

In [32]:

    

# df_data.to_hdf('data_dataframe.hdf', 'dataframe', format='table')


    

In [33]:

    

df_data = pd.read_hdf('data_dataframe.hdf', 'dataframe', mode='r')


    

In [34]:

    

df_data.shape


    

    
Out[34]:





(6668215, 7)

In [35]:

    

energybins.log_energy_bins


    

    
Out[35]:





array([6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 7. , 7.1, 7.2, 7.3,
       7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 8. ])

In [36]:

    

df_data.reco_log_energy.min(), df_data.reco_log_energy.max()


    

    
Out[36]:





(6.100001266909608, 7.979532177403555)

In [37]:

    

print('Running energy reconstruction...')
for df in [df_data]:
    # Energy reconstruction
    df['reco_log_energy'] = energy_pipeline.predict(df[feature_list].values)
    df['reco_energy'] = 10**df['reco_log_energy']


    

    




Running energy reconstruction...

In [38]:

    

df_data.reco_log_energy.min(), df_data.reco_log_energy.max()


    

    
Out[38]:





(6.04731940764387, 9.659801452825425)

In [39]:

    

ra = df_data.loc[:, 'lap_ra'].values
dec = df_data.loc[:, 'lap_dec'].values


    

In [40]:

    

dec_median = df_data.loc[:, 'lap_dec'].median()
dec_median_deg = np.rad2deg(dec_median)


    

In [28]:

    

fig, ax = plt.subplots()
ax.hist(np.rad2deg(dec), bins=50, alpha=0.8)
print('dec_median = {} [rad]'.format(dec_median))
print('dec_median = {} [deg]'.format(dec_median_deg))
ax.axvline(dec_median_deg, marker='None', ls='--', lw=1, color='k',
           label='Median ({:0.1f}'.format(dec_median_deg)+' $^{\circ}$)')
# ax.set_yscale('log', nonposy='clip')
ax.set_xlabel('Declination [$^{\circ}$]')
ax.set_ylabel('Counts')
ax.grid()
ax.legend()
outfile = os.path.join(comp.paths.figures_dir, 'skymaps', 'declination_hist.png')
comp.check_output_dir(outfile)
plt.savefig(outfile)
plt.show()


    

    




dec_median = -1.30927265203 [rad]
dec_median = -75.0157971934 [deg]






    

In [41]:

    

from itertools import cycle
from matplotlib.animation import FuncAnimation


    

In [44]:

    

# fig, ax = plt.subplots(figsize=(8, 4))
fig, ax = plt.subplots()
dec_step = 1
# dec_mins = np.arange(-90, -75, dec_step)
dec_mins = np.arange(-90, -60, dec_step)
colors = cycle(sns.color_palette('Blues_d', len(dec_mins)).as_hex())
# colors = ['C{}'.format(i) for i in range(len(dec_mins))]

def update_plot(num):
#     ax.clear()
    dec_min_deg = dec_mins[num]
#     print('dec_min_deg = {}'.format(dec_min_deg))
    dec_max_deg = dec_min_deg + dec_step

    dec_min = np.deg2rad(dec_min_deg)
    dec_max = np.deg2rad(dec_max_deg)

    dec_mask = (df_data['lap_dec'] <= dec_max) & (df_data['lap_dec'] >= dec_min)
    counts, _ = np.histogram(df_data.loc[dec_mask, 'reco_log_energy'],
                             bins=energybins.log_energy_bins)
    counts_err = np.sqrt(counts)
    norm = np.sum(counts)
    norm_err = comp.data_functions.get_summation_error(counts_err)
    norm_counts, norm_counts_err = comp.data_functions.ratio_error(counts, counts_err, norm, norm_err)
    
    label = str(dec_min_deg) + '$^{\circ}$' + ' $\\theta$ band'
    color = next(colors)
    comp.plot_steps(energybins.log_energy_bins,
                    norm_counts,
                    yerr=norm_counts_err, 
#                     label=label,
                    color=color,
                    alpha=0.8,
                    ax=ax)
    
    ax.set_yscale('log', nonposy='clip')
    ax.set_xlabel('$\mathrm{\log_{10}(E/GeV)}$')
    ax.set_ylabel('Normalized counts')
    ax.set_title(label)
    ax.set_xlim(6.4, 7.8)
    ax.set_ylim(1e-4, 5e-1)
    ax.grid(linestyle='dotted', which="both")

    return ax
    

outfile = os.path.join(comp.paths.figures_dir,
                       'skymaps',
                       '{}-dec-bands-energy-hist.gif'.format(config))

def init():
    pass

anim = FuncAnimation(fig, update_plot, frames=len(dec_mins), init_func=init, interval=1250)
anim.save(outfile, dpi=300, writer='imagemagick')


    

In [31]:

    

fig, ax = plt.subplots()
# fig, ax = plt.subplots(figsize=(8, 4))
dec_step = 5
dec_mins = np.arange(-90, -60, dec_step)
colors = cycle(sns.color_palette('Blues_d', len(dec_mins)).as_hex())
# colors = ['C{}'.format(i) for i in range(len(dec_mins))]
for dec_min_deg, color in zip(dec_mins, colors):
    dec_max_deg = dec_min_deg + dec_step

    dec_min = np.deg2rad(dec_min_deg)
    dec_max = np.deg2rad(dec_max_deg)

    dec_mask = (df_data['lap_dec'] <= dec_max) & (df_data['lap_dec'] >= dec_min)
    energy_mask = (df_data['reco_log_energy'] <= 7.8) & (df_data['reco_log_energy'] >= 6.4)
    
    counts, _ = np.histogram(df_data.loc[dec_mask & energy_mask, 'reco_log_energy'],
                             bins=energybins.log_energy_bins)
    counts_err = np.sqrt(counts)
    norm = np.sum(counts)
    norm_err = comp.data_functions.get_summation_error(counts_err)
    norm_counts, norm_counts_err = comp.data_functions.ratio_error(counts, counts_err, norm, norm_err)
    
#     norm_counts = counts / np.sum(counts)
#     norm_counts_err = counts_err / np.sum(counts)
    
#     label = str(dec_min_deg) + '$^{\circ}$'
    label = str(dec_min_deg) + '$^{\circ}\leq \\theta \leq$ ' + str(dec_max_deg) + '$^{\circ}$'
    comp.plot_steps(energybins.log_energy_bins, norm_counts,
                    yerr=norm_counts_err, 
                    label=label,
                    color=color,
                    alpha=0.8,
                    ax=ax)
ax.set_yscale('log', nonposy='clip')
ax.set_xlabel('$\mathrm{\log_{10}(E/GeV)}$')
ax.set_ylabel('Normalized counts')
ax.set_xlim(6.4, 7.8)
ax.set_ylim(1e-4, 5e-1)
ax.grid()
ax.legend(title='Declination bands')
# ax.legend(title='Declination bands', 
#           loc='center left',
#           bbox_to_anchor=(1, 0.5), 
#           ncol=3)

outfile = os.path.join(comp.paths.figures_dir,
                       'skymaps',
                       '{}-dec-bands-energy-hist-{}.png'.format(config, energy_pipeline_name))
plt.savefig(outfile)

plt.show()


    

In [76]:

    

fig, ax = plt.subplots()
decs = [(-90, -85), (-65, -60)]
colors = cycle(sns.color_palette('Blues_d', len(decs)).as_hex())
for d, color in zip(decs, colors):
    dec_min_deg, dec_max_deg = d

    dec_min = np.deg2rad(dec_min_deg)
    dec_max = np.deg2rad(dec_max_deg)

    dec_mask = (df_data['lap_dec'] <= dec_max) & (df_data['lap_dec'] >= dec_min)
    energy_mask = (df_data['reco_log_energy'] <= 7.8) & (df_data['reco_log_energy'] >= 6.4)
    counts, _ = np.histogram(df_data.loc[dec_mask & energy_mask, 'reco_log_energy'],
                             bins=energybins.log_energy_bins)
    counts_err = np.sqrt(counts)
    norm = np.sum(counts)
    norm_err = comp.data_functions.get_summation_error(counts_err)
    norm_counts, norm_counts_err = comp.data_functions.ratio_error(counts, counts_err, norm, norm_err)
    
#     norm_counts = counts / np.sum(counts)
#     norm_counts_err = counts_err / np.sum(counts)
    
    label = str(dec_min_deg) + '$^{\circ}$' + '$< \\theta < $' + str(dec_max_deg) + '$^{\circ}$'
#     label = str(dec_min_deg) + '$^{\circ}\leq \\theta \leq$ ' + str(dec_max_deg) + '$^{\circ}$'
    comp.plot_steps(energybins.log_energy_bins, norm_counts,
                    yerr=norm_counts_err, 
                    label=label,
                    color=color,
                    alpha=0.8,
                    ax=ax)
ax.set_yscale('log', nonposy='clip')
ax.set_xlabel('$\mathrm{\log_{10}(E/GeV)}$')
ax.set_ylabel('Normalized counts')
ax.set_xlim(6.4, 7.8)
ax.set_ylim(1e-4, 5e-1)
ax.grid()
ax.legend(title='Declination bands')
# ax.legend(title='Declination bands', 
#           loc='center left',
#           bbox_to_anchor=(1, 0.5), 
#           ncol=3)

# outfile = os.path.join(comp.paths.figures_dir,
#                        'skymaps',
#                        '{}-dec-bands-energy-hist-{}.png'.format(config, energy_pipeline_name))
# plt.savefig(outfile)

plt.show()


    

In [35]:

    

log_s125_bins = np.linspace(-0.5, 2, 15)

# fig, ax = plt.subplots(figsize=(8, 4))
fig, ax = plt.subplots()
dec_step = 1
# dec_mins = np.arange(-90, -75, dec_step)
dec_mins = np.arange(-90, -60, dec_step)
colors = cycle(sns.color_palette('Blues_d', len(dec_mins)).as_hex())
# colors = ['C{}'.format(i) for i in range(len(dec_mins))]

def update_plot(num):
#     ax.clear()
    dec_min_deg = dec_mins[num]
#     print('dec_min_deg = {}'.format(dec_min_deg))
    dec_max_deg = dec_min_deg + dec_step

    dec_min = np.deg2rad(dec_min_deg)
    dec_max = np.deg2rad(dec_max_deg)

    dec_mask = (df_data['lap_dec'] <= dec_max) & (df_data['lap_dec'] >= dec_min)
    counts, _ = np.histogram(df_data.loc[dec_mask, 'log_s125'],
                             bins=log_s125_bins)
    counts_err = np.sqrt(counts)
    norm = np.sum(counts)
    norm_err = comp.data_functions.get_summation_error(counts_err)
    norm_counts, norm_counts_err = comp.data_functions.ratio_error(counts, counts_err, norm, norm_err)
    
    label = str(dec_min_deg) + '$^{\circ}$' + ' $\\theta$ band'
    color = next(colors)
    comp.plot_steps(log_s125_bins,
                    norm_counts,
                    yerr=norm_counts_err, 
#                     label=label,
                    color=color,
                    alpha=0.8,
                    ax=ax)
    
    ax.set_yscale('log', nonposy='clip')
    ax.set_xlabel('$\mathrm{\log_{10}(S_{125})}$')
    ax.set_ylabel('Normalized counts')
    ax.set_title(label)
#     ax.set_xlim(6.4, 7.8)
    ax.set_ylim(1e-4, 5e-1)
    ax.grid(linestyle='dotted', which="both")

    return ax
    

def init():
    pass

outfile = os.path.join(comp.paths.figures_dir,
                       'skymaps',
                       '{}-dec-bands-s125-hist.gif'.format(config))

anim = FuncAnimation(fig, update_plot, frames=len(dec_mins), init_func=init, interval=1250)
anim.save(outfile, dpi=300, writer='imagemagick')


    

In [36]:

    

log_s125_bins = np.linspace(-0.5, 2, 15)

dec_step = 1
dec_mins = np.arange(-90, -60, dec_step)
colors = cycle(sns.color_palette('Blues_d', len(dec_mins)).as_hex())
# colors = ['C{}'.format(i) for i in range(len(dec_mins))]
fig, ax = plt.subplots(figsize=(8, 4))
for dec_min_deg, color in zip(dec_mins, colors):
    dec_max_deg = dec_min_deg + dec_step

    dec_min = np.deg2rad(dec_min_deg)
    dec_max = np.deg2rad(dec_max_deg)

    dec_mask = (df_data['lap_dec'] <= dec_max) & (df_data['lap_dec'] >= dec_min)
    counts, _ = np.histogram(df_data.loc[dec_mask, 'log_s125'],
                             bins=log_s125_bins)
    counts_err = np.sqrt(counts)
    norm = np.sum(counts)
    norm_err = comp.data_functions.get_summation_error(counts_err)
    norm_counts, norm_counts_err = comp.data_functions.ratio_error(counts, counts_err, norm, norm_err)
    
    label = str(dec_min_deg) + '$^{\circ}$'
#     label = str(dec_min_deg) + '$^{\circ}\leq \\theta \leq$ ' + str(dec_max_deg) + '$^{\circ}$'
    comp.plot_steps(log_s125_bins, norm_counts,
                    yerr=norm_counts_err, 
                    label=label,
                    color=color,
                    alpha=0.8,
                    ax=ax)
ax.set_yscale('log', nonposy='clip')
ax.set_xlabel('$\mathrm{\log_{10}(S_{125})}$')
ax.set_ylabel('Normalized counts')
ax.set_ylim(1e-4, 5e-1)
ax.grid()
# ax.legend(title='Declination bands')
ax.legend(title='Declination bands', 
          loc='center left',
          bbox_to_anchor=(1, 0.5), 
          ncol=3)

outfile = os.path.join(comp.paths.figures_dir,
                       'skymaps',
                       '{}-dec-bands-s125-hist.png'.format(config))
plt.savefig(outfile)

plt.show()


    

In [131]:

    

dataset = df_data.sample(frac=1, random_state=2)
# dataset = df_data.sample(n=5000, random_state=2)
dataset.head()


    

    
Out[131]:







  

    

      

      
lap_cos_zenith
      
log_s125
      
log_dEdX
      
lap_ra
      
lap_dec
      
reco_log_energy
      
reco_energy
      
pred_comp_target
      
pix
    
  
  

    

      
IC86.2012_120655_29962215_0
      
0.948837
      
0.135644
      
0.593995
      
2.073858
      
-1.249081
      
6.169086
      
1.475999e+06
      
0
      
47782
    
    

      
IC86.2012_122121_54516804_0
      
0.983440
      
0.079695
      
0.947784
      
4.874247
      
-1.388858
      
6.156973
      
1.435400e+06
      
0
      
48775
    
    

      
IC86.2012_120638_44599117_0
      
0.967261
      
0.306750
      
1.360893
      
4.777504
      
-1.314318
      
6.391767
      
2.464717e+06
      
1
      
48372
    
    

      
IC86.2012_122272_12840642_0
      
0.979178
      
0.075470
      
1.027414
      
0.953697
      
-1.367112
      
6.152934
      
1.422111e+06
      
1
      
48617
    
    

      
IC86.2012_120399_61211317_1
      
0.871608
      
0.317658
      
1.671331
      
4.073173
      
-1.057723
      
6.519127
      
3.304665e+06
      
1
      
45975
    
  

In [109]:

    

dec_bin_width = 10
dec_bins = np.deg2rad(np.arange(-90, -60 + dec_bin_width, dec_bin_width))
dec_bins


    

    
Out[109]:





array([-1.57079633, -1.3962634 , -1.22173048, -1.04719755])

In [102]:

    

comp_bins = np.arange(0, num_groups + 1)
comp_bins


    

    
Out[102]:





array([0, 1, 2])

In [103]:

    

counts, _ = np.histogram(dataset.pred_comp_target, bins=comp_bins)
counts


    

    
Out[103]:





array([3664699, 3003516])

In [104]:

    

counts, _ = np.histogram(dataset.lap_dec, bins=dec_bins)
counts


    

    
Out[104]:





array([1746431, 3126983, 1718838])

In [105]:

    

dataset.loc[:, ['pred_comp_target', 'reco_log_energy', 'lap_dec']].values


    

    
Out[105]:





array([[ 0.        ,  6.1690861 , -1.24908126],
       [ 0.        ,  6.15697295, -1.3888585 ],
       [ 1.        ,  6.39176712, -1.31431818],
       ...,
       [ 0.        ,  6.22770542, -1.30268689],
       [ 0.        ,  6.35105088, -1.23775188],
       [ 0.        ,  6.23872953, -1.34615431]])

In [106]:

    

counts, _ = np.histogramdd(dataset.loc[:, ['pred_comp_target', 'reco_log_energy', 'lap_dec']].values,
                           bins=[comp_bins, energybins.log_energy_bins, dec_bins])


    

In [107]:

    

counts.min()


    

    
Out[107]:





63.0

In [87]:

    

shape_original = counts.shape
shape_original


    

    
Out[87]:





(2, 19, 9)

In [88]:

    

counts_flatten = counts.reshape(-1)


    

In [89]:

    

counts_unflattened = counts_flatten.reshape(shape_original)


    

In [90]:

    

np.array_equal(counts, counts_unflattened)


    

    
Out[90]:





True

In [42]:

    

import dask.array as da

X_data = da.from_array(df_data[feature_list].values, chunks=int(1e4))
X_data


    

    
Out[42]:





dask.array<array, shape=(6668215, 3), dtype=float64, chunksize=(10000, 3)>

In [43]:

    

from dask_ml.wrappers import ParallelPostFit
from dask.diagnostics import ProgressBar

pred_comp_target = ParallelPostFit(comp_pipeline).predict(X_data)
reco_log_energy = ParallelPostFit(energy_pipeline).predict(X_data)


    

In [44]:

    

with ProgressBar():
#     print('Running energy reconstructions...')
#     df_data['reco_log_energy'] = reco_log_energy.compute(schuduler='threads', 
#                                                          num_workers=20)
    print('Running composition classifications...')
#     df_data['pred_comp_target'] = pred_comp_target.compute(schuduler='threads', 
#                                                            num_workers=20)
    df_data['pred_comp_target'] = pred_comp_target.compute()


    

    




Running composition classifications...
[#                                       ] | 3% Completed |  0.5s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[###                                     ] | 9% Completed |  0.8s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[#####                                   ] | 13% Completed |  1.0s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[######                                  ] | 17% Completed |  1.2s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[########                                ] | 21% Completed |  1.4s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[##########                              ] | 25% Completed |  1.6s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[###########                             ] | 29% Completed |  1.9s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[#############                           ] | 33% Completed |  2.1s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[##############                          ] | 37% Completed |  2.3s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[################                        ] | 41% Completed |  2.5s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[##################                      ] | 47% Completed |  2.8s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[####################                    ] | 51% Completed |  3.0s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[#####################                   ] | 54% Completed |  3.2s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[#######################                 ] | 59% Completed |  3.5s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[########################                ] | 61% Completed |  3.6s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[##########################              ] | 65% Completed |  3.8s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[############################            ] | 70% Completed |  4.0s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[#############################           ] | 74% Completed |  4.3s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[###############################         ] | 78% Completed |  4.5s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[#################################       ] | 82% Completed |  4.7s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[##################################      ] | 86% Completed |  4.9s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[####################################    ] | 91% Completed |  5.1s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[######################################  ] | 96% Completed |  5.4s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[####################################### ] | 98% Completed |  5.5s





    




/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
/home/jbourbeau/cr-composition/.virtualenv/lib/python2.7/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:






    




[########################################] | 100% Completed |  5.6s
[########################################] | 100% Completed |  0.1s

In [32]:

    

# print('Running energy and composition reconstructions...')
# df_data['pred_comp_target'] = comp_pipeline.predict(df_data[feature_list].values)
# df_data['reco_log_energy'] = energy_pipeline.predict(df_data[feature_list].values)


    

In [45]:

    

# Effective area
eff_area, eff_area_err = {}, {}
for composition in comp_list+['total']:
    eff_area[composition] = df_eff['eff_median_{}'.format(composition)].values * thrown_area
    eff_area_err[composition] = df_eff['eff_err_low_{}'.format(composition)].values * thrown_area
    
# Livetime
livetime, livetime_err = comp.get_detector_livetime(config=config)


    

In [46]:

    

df_eff['eff_median_total'].values


    

    
Out[46]:





array([0.0067357 , 0.00768392, 0.00819213, 0.00845571, 0.00860106,
       0.00869518, 0.00876493, 0.00882504, 0.00888223, 0.00893701,
       0.00899151, 0.00904821, 0.00910125, 0.00915483, 0.00920796,
       0.00926119, 0.00931638, 0.00937015, 0.00942275])

In [47]:

    

np.rad2deg(np.arccos(df_data.lap_cos_zenith.max())), np.rad2deg(np.arccos(df_data.lap_cos_zenith.min()))


    

    
Out[47]:





(0.0048982721856552, 37.65427444520522)

In [48]:

    

def calc_solid_angle(theta_min=0, theta_max=np.pi/2):
    return 2*np.pi*(np.cos(theta_min) - np.cos(theta_max))

def calc_geom_factor(theta_min=0, theta_max=np.pi/2):
    return (np.cos(theta_min) + np.cos(theta_max)) / 2


    

In [49]:

    

efficiencies


    

    
Out[49]:





array([0.00711621, 0.00640114, 0.00792564, 0.00747336, 0.00837118,
       0.00800932, 0.00860879, 0.00827434, 0.00873487, 0.00842553,
       0.00880808, 0.00853552, 0.00885811, 0.00862577, 0.00889926,
       0.00871167, 0.00893319, 0.00879576, 0.00896376, 0.0088786 ,
       0.00899596, 0.00896131, 0.00902511, 0.00904439, 0.00905524,
       0.00912615, 0.00908302, 0.00920706, 0.00911336, 0.00928806,
       0.00914197, 0.00936856, 0.00917137, 0.00944958, 0.009201  ,
       0.00953194, 0.00922881, 0.00961275])

In [50]:

    

np.pi*np.sin(np.deg2rad(40))**2


    

    
Out[50]:





1.2980304071610544

In [55]:

    

filenames = ['allsky.png', 'dec_lt_median.png', 'dec_gt_median.png']
# filenames = ['dec_lt_median.png', 'dec_gt_median.png', 'allsky.png']
dec_lims = [(-90, -60), (-90, -75), (-75, -60)]

for filename, (dec_min, dec_max) in zip(filenames, dec_lims):
    
    # Solid angle
    theta_max_sim = 40 if config == 'IC79.2010' else 65
    solid_angle = np.pi*np.sin(np.deg2rad(theta_max_sim))**2
    
#     solid_angle = calc_solid_angle(theta_min=theta_min, theta_max=theta_max)
    print('solid_angle = {}'.format(solid_angle))

    theta_min = np.deg2rad(dec_min + 90)
    theta_max = np.deg2rad(dec_max + 90)
    geom_factor = calc_geom_factor(theta_min=theta_min, theta_max=theta_max)
    print('geom_factor = {}'.format(geom_factor))
#     geom_factor = 1

    def counts_to_flux(counts, counts_err=None, composition=None):
        return comp.get_flux(counts, counts_err,
                             energybins=energybins.energy_bins,
                             eff_area=geom_factor * thrown_area,
                             eff_area_err=None,                            
#                              eff_area=geom_factor * eff_area[composition],
#                              eff_area_err=geom_factor * eff_area_err[composition],
                             livetime=livetime,
                             livetime_err=livetime_err,
                             solid_angle=solid_angle,
                             scalingindex=2.7)


    counts_observed = {}
    counts_observed_err = {}

    dec_mask = (df_data['lap_dec'] < np.deg2rad(dec_max)) & (df_data['lap_dec'] > np.deg2rad(dec_min))
#     dec_mask = np.ones(df_data.shape[0], dtype=bool)

    for idx, composition in enumerate(comp_list):
        # Filter out events that don't pass composition & energy mask
        pred_comp_mask = df_data['pred_comp_target'] == idx

        mask = np.logical_and(pred_comp_mask, dec_mask)
    #     df_data = df_data.loc[df_data, :]
    #     print(mask)
    #     print(pred_comp_mask.sum())

        energies = df_data.loc[mask, 'reco_log_energy'].values
        comp_counts, _ = np.histogram(energies,
                                      bins=energybins.log_energy_bins)
        counts_observed[composition] = comp_counts
        counts_observed_err[composition] = np.sqrt(comp_counts)

    counts_observed_err['total'] = np.sqrt(np.sum(counts_observed_err[composition]**2 for composition in comp_list))
    # Calculate total counts
    counts_observed['total'] = np.sum(counts_observed[composition] for composition in comp_list)

    # Format observed counts, detection efficiencies, and priors for PyUnfold use
    counts_pyunfold = np.empty(num_groups * len(energybins.energy_midpoints))
    counts_err_pyunfold = np.empty(num_groups * len(energybins.energy_midpoints))
    for idx, composition in enumerate(comp_list):
        counts_pyunfold[idx::num_groups] = counts_observed[composition]
        counts_err_pyunfold[idx::num_groups] = counts_observed_err[composition]


    # Run unfolding for each of the priors
    names = ['uniform', 'H3a', 'H4a', 'simple_power_law']
    # names = ['Jeffreys', 'H3a', 'H4a', 'Polygonato']
    unfolding_results = {}
    for prior_name in names:
        prior = None if prior_name == 'uniform' else df_priors['{}_prior'.format(prior_name)]
        # priors = 'Jeffreys' if prior_name == 'Jeffreys' else df['{}_prior'.format(prior_name)]
        df_unfolding_iter = pyunfold.iterative_unfold(data=counts_pyunfold,
                                                      data_err=counts_err_pyunfold,
                                                      response=response,
                                                      response_err=response_err,
                                                      efficiencies=efficiencies,
                                                      efficiencies_err=efficiencies_err,
                                                      ts='ks',
                                                      ts_stopping=0.005,
                                                      prior=prior,
                                                      return_iterations=True)
    #                                                   callbacks=[pyunfold.callbacks.SplineRegularizer(degree=3, smooth=1)])
        unfolding_results[prior_name] = df_unfolding_iter



    fig, ax = plt.subplots()
#     fig, ax = plt.subplots(figsize=(10, 5))
    linestyles = ['-', ':', '-.', '--']
    markers = ['.', '*', '^', 'x']
    for prior_name, ls, marker in zip(names, linestyles, markers):
        counts, counts_sys_err, counts_stat_err = comp.unfolded_counts_dist(unfolding_results[prior_name],
                                                                            num_groups=num_groups)
        for composition in comp_list + ['total']:
            flux, flux_sys_err = counts_to_flux(counts=counts[composition],
                                                counts_err=counts_sys_err[composition],
                                                composition=composition)
            flux, flux_stat_err = counts_to_flux(counts=counts[composition],
                                                 counts_err=counts_stat_err[composition],
                                                 composition=composition)
            comp.plot_steps(energybins.log_energy_bins, 
                            flux,
                            yerr=flux_sys_err,
                            color=color_dict[composition],
                            ls=ls,
                            ax=ax)
            label = prior_name.replace('_', ' ') if composition == 'total' else ''
            ax.errorbar(energybins.log_energy_midpoints, flux,
                        yerr=flux_stat_err,
                        color=color_dict[composition],
                        ls='None',
                        marker=marker,
                        label=label)
    ax.set_yscale('log', nonposy='clip')
    ax.set_xlabel('$\mathrm{\log_{10}(E/GeV)}$')
    ax.set_ylabel('$\mathrm{ E^{2.7} \ J(E) \ [GeV^{1.7} m^{-2} sr^{-1} s^{-1}]}$')
    ax.set_xlim(6.4, 7.8)
    ax.set_ylim(1e3, 1e5)
    ax.grid(lw=1, which='both')
#     ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
    # outfile = os.path.join(comp.paths.figures_dir, 'skymaps', 'allsky.png')
    outfile = os.path.join(comp.paths.figures_dir, 'skymaps', filename)
    # outfile = os.path.join(comp.paths.figures_dir, 'skymaps', 'dec_lt_median.png')
    # outfile = os.path.join(comp.paths.figures_dir, 'skymaps', 'dec_gt_median.png')
    comp.check_output_dir(outfile)
    plt.savefig(outfile)
    plt.show()


    

    




solid_angle = 2.580484743
geom_factor = 0.933012701892






    













    




solid_angle = 2.580484743
geom_factor = 0.982962913145






    













    




solid_angle = 2.580484743
geom_factor = 0.915975615037






    

In [88]:

    

counts


    

    
Out[88]:





{'heavy': array([6.62507142e+07, 3.62656804e+07, 2.40517378e+07, 1.81806740e+07,
        1.24071377e+07, 7.58876173e+06, 4.72479192e+06, 3.22059638e+06,
        1.98236945e+06, 1.25193017e+06, 9.29216820e+05, 5.47669201e+05,
        3.56300123e+05, 2.49497956e+05, 1.48867167e+05, 1.11860536e+05,
        6.33204506e+04, 4.77479875e+04, 2.67231494e+04]),
 'light': array([7.70526239e+07, 4.87739351e+07, 3.98087118e+07, 2.68979443e+07,
        1.76755150e+07, 1.09997265e+07, 6.80636360e+06, 4.08881679e+06,
        2.48930801e+06, 1.30021666e+06, 7.57987717e+05, 3.96707847e+05,
        2.25206479e+05, 1.62768370e+05, 9.26954245e+04, 5.44617253e+04,
        3.03044190e+04, 1.55066727e+04, 9.57890297e+03]),
 'total': array([1.43303338e+08, 8.50396156e+07, 6.38604496e+07, 4.50786183e+07,
        3.00826527e+07, 1.85884882e+07, 1.15311555e+07, 7.30941316e+06,
        4.47167746e+06, 2.55214683e+06, 1.68720454e+06, 9.44377048e+05,
        5.81506602e+05, 4.12266326e+05, 2.41562591e+05, 1.66322262e+05,
        9.36248696e+04, 6.32546602e+04, 3.63020524e+04])}

In [44]:

    

import sky_anisotropy as sa


    

In [230]:

    

nside = 64
npix = hp.nside2npix(nside)
radius = np.deg2rad(5)


    

In [231]:

    

ra = df_data.loc[:, 'lap_ra'].values
dec = df_data.loc[:, 'lap_dec'].values
# Convert from ra/dec equatorial coordinates to the theta/phi coordinates used in healpy
theta, phi = comp.equatorial_to_healpy(ra, dec)


    

In [232]:

    

data_skymap = np.zeros(npix)
pix_array = hp.ang2pix(nside, theta, phi)
unique_pix, pix_counts = np.unique(pix_array, return_counts=True)
data_skymap[unique_pix] += pix_counts


    

In [233]:

    

df_data['pix'] = pix_array


    

In [234]:

    

data_skymap[data_skymap == 0] = hp.UNSEEN
comp.plot_skymap(data_skymap, cbar_title='Counts', polar=True)
plt.title('IC86.2012 data')
outfile = os.path.join(comp.paths.figures_dir,
                       'skymaps',
                       '{}-data-skymap-polar.png'.format(config))
plt.savefig(outfile)
plt.show()


    

In [235]:

    

data_skymap = np.zeros(npix)
pix_array = hp.ang2pix(nside, theta, phi)
unique_pix, pix_counts = np.unique(pix_array, return_counts=True)
data_skymap[unique_pix] += pix_counts


    

In [236]:

    

ra_test = np.deg2rad(0)
dec_test = np.deg2rad(-60)


    

In [203]:

    

theta_test, phi_test = sa.equatorial_to_healpy(ra_test, dec_test)
vec_test = hp.ang2vec(theta_test, phi_test)
pix_center = hp.ang2pix(nside, theta_test, phi_test)

# ipix = hp.query_disc(nside, vec=vec, radius=radius)
# in_disc = np.isin(np.arange(npix), ipix)

# in_disc = sa.square_on_region(df_data['pix'], pix_center, size=np.deg2rad(5), nside=nside)
# n_pix_square = in_disc.sum()
in_disc = sa.disc_on_region(df_data['pix'], pix_center, size=np.deg2rad(5), nside=nside)
n_pix_disc = in_disc.sum()

print('n_pix_disc = {}'.format(n_pix_disc))
# print('n_pix_square = {}'.format(n_pix_square))
# print('n_pix_disc / n_pix_square = {}'.format(n_pix_disc / n_pix_square))

on_disc_skymap = np.zeros(npix)
pix_array = hp.ang2pix(nside, theta, phi)
unique_pix, pix_counts = np.unique(pix_array[in_disc], return_counts=True)
on_disc_skymap[unique_pix] += pix_counts
# on_disc_skymap = data_skymap.copy()
# on_disc_skymap[~in_disc] = hp.UNSEEN

on_disc_skymap[on_disc_skymap == 0] = hp.UNSEEN
comp.plot_skymap(on_disc_skymap, cbar_title='Counts', polar=True)
hp.projscatter(theta_test, phi_test, color='w', marker='x')
plt.title('IC86.2012 data')
outfile = os.path.join(comp.paths.figures_dir,
                       'skymaps',
                       '{}-on-disc-skymap-polar.png'.format(config))
plt.savefig(outfile)
plt.show()


    

    




n_pix_disc = 22045






    

In [204]:

    

off_disc_skymap = data_skymap.copy()
off_disc_skymap[in_disc] = hp.UNSEEN

off_disc_skymap[off_disc_skymap == 0] = hp.UNSEEN
comp.plot_skymap(off_disc_skymap, cbar_title='Counts', polar=True)
hp.projscatter(theta_test, phi_test, color='w', marker='x')
plt.title('IC86.2012 data')
outfile = os.path.join(comp.paths.figures_dir,
                       'skymaps',
                       '{}-off-disc-skymap-polar.png'.format(config))
plt.savefig(outfile)
plt.show()


    

    





IndexErrorTraceback (most recent call last)
<ipython-input-204-9aefbb83f49e> in <module>()
      1 off_disc_skymap = data_skymap.copy()
----> 2 off_disc_skymap[in_disc] = hp.UNSEEN
      3 
      4 off_disc_skymap[off_disc_skymap == 0] = hp.UNSEEN
      5 comp.plot_skymap(off_disc_skymap, cbar_title='Counts', polar=True)

IndexError: boolean index did not match indexed array along dimension 0; dimension is 49152 but corresponding boolean dimension is 6668215

In [56]:

    

theta, phi = sa.equatorial_to_healpy(df_data.loc[:, 'lap_ra'].values,
                                     df_data.loc[:, 'lap_dec'].values)
pix_idx = hp.ang2pix(nside=nside, theta=theta, phi=phi)
in_disc = np.isin(pix_idx, ipix)

# ebins = np.arange(6.4, 7.9, 0.1)
ebins = np.arange(6.4, 7.5, 0.1)
ebins = np.concatenate([ebins, [7.8]])

energies_in_disc = df_data.loc[in_disc, 'reco_log_energy'].values
counts_in_disc, _ = np.histogram(energies_in_disc, bins=ebins) 
print('counts_in_disc = {}'.format(counts_in_disc))

energies_outside_disc = df_data.loc[~in_disc, 'reco_log_energy'].values
counts_outside_disc, _ = np.histogram(energies_outside_disc, bins=ebins)
print('counts_outside_disc = {}'.format(counts_outside_disc))


    

    





NameErrorTraceback (most recent call last)
<ipython-input-56-087ceb38ee80> in <module>()
      2                                      df_data.loc[:, 'lap_dec'].values)
      3 pix_idx = hp.ang2pix(nside=nside, theta=theta, phi=phi)
----> 4 in_disc = np.isin(pix_idx, ipix)
      5 
      6 # ebins = np.arange(6.4, 7.9, 0.1)

NameError: name 'ipix' is not defined

In [53]:

    

ebins


    

    
Out[53]:





array([6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 7. , 7.1, 7.2, 7.3, 7.4, 7.8])

In [41]:

    

assert counts_in_disc.shape == counts_outside_disc.shape

alpha = np.sum(counts_in_disc) / np.sum(counts_outside_disc)
print('alpha = {}'.format(alpha))
expected = alpha * counts_outside_disc
# expected = 1 * counts_outside_disc

# assert np.allclose(counts_in_disc.sum(), expected.sum())

chi_squared_likelihood = 2 * np.sum(expected - counts_in_disc + (counts_in_disc * np.log(counts_in_disc / expected)))
print('chi_squared_likelihood = {}'.format(chi_squared_likelihood))

chi_squared_on = np.sum((counts_in_disc - expected)**2 / counts_in_disc)
print('chi_squared_on = {}'.format(chi_squared_on))

chi_squared_off = np.sum((counts_in_disc - expected)**2 / expected)
print('chi_squared_off = {}'.format(chi_squared_off))


    

    




alpha = 0.0540830730344
chi_squared_likelihood = 430.818468803
chi_squared_on = 420.90663922
chi_squared_off = 437.092560618

In [44]:

    

# in_energy_range = np.logical_and(energybins.log_energy_midpoints <= 7.8,
#                                  energybins.log_energy_midpoints >= 6.4)

# fig, ax = plt.subplots()
# ax.errorbar(energybins.log_energy_midpoints[in_energy_range], counts_in_disc,
#             yerr=np.sqrt(counts_in_disc),
#             label='Inside disc (on)')
# alpha = np.sum(counts_in_disc) / np.sum(counts_outside_disc)
# expected = alpha * counts_outside_disc
# ax.errorbar(energybins.log_energy_midpoints[in_energy_range], expected,
#             yerr=np.sqrt(expected),
#             label='Outside disc (off)')
# ax.set_yscale('log', nonposy='clip')
# ax.set_xlabel('$\mathrm{\log_{10}(E/GeV)}$')
# ax.set_ylabel('Counts')
# ax.set_title('(ra, dec) = ({:0.2f}, {:0.2f})'.format(np.rad2deg(ra_test), np.rad2deg(dec_test)))
# # ax.set_title('$\mathrm{\\chi^2 / d.o.f} = $ '+'{:0.2f}'.format(test_chi2))

# likelihood_str = '$\mathrm{\chi^2_{likelihood}}$' + ' = {:0.1f}'.format(chi_squared_likelihood)
# on_str = '$\mathrm{\chi^2_{on}}$' + ' = {:0.1f}'.format(chi_squared_on)
# off_str = '$\mathrm{\chi^2_{off}}$' + ' = {:0.1f}'.format(chi_squared_off)
# title = '\n'.join([likelihood_str, on_str, off_str])

# # ax.annotate(title, (7.45, 1e4))

# ax.set_xlim(6.4, 7.8)
# ax.grid()
# ax.legend()
# outfile = os.path.join(comp.paths.figures_dir,
#                        'skymaps',
#                        '{}-energy-dist-comparison.png'.format(config))
# # plt.savefig(outfile)
# plt.show()


    

In [237]:

    

theta, phi = hp.pix2ang(nside, list(range(npix)))
ra, dec = sa.healpy_to_equatorial(theta, phi)
# has_data = dec < df_data.loc[:, 'lap_dec'].max()
has_data = dec < np.deg2rad(-60)
# has_data = dec < np.deg2rad(-75)
# has_data = dec < np.deg2rad(-80)
# has_data = dec < np.deg2rad(-88)

size = np.deg2rad(5)
print('size = {:0.2f} [deg]'.format(np.rad2deg(size)))

# has_data = has_data & (dec > np.deg2rad(-90) + size)

has_data.sum()


    

    




size = 5.00 [deg]






    
Out[237]:





3280

In [238]:

    

energy_range_mask = (df_data['reco_log_energy'] >= 6.1) & (df_data['reco_log_energy'] <= 8.0)


    

In [239]:

    

ebins = np.arange(6.4, 7.9, 0.1)
# ebins = np.arange(6.4, 7.5, 0.1)
# ebins = np.concatenate([ebins, [7.8]])

s125_bins = np.linspace(0.5, 1.6, 15)

on_region = 'disc'
# on_region = 'square'
print('on_region = {}'.format(on_region))
off_region = 'allsky'
# off_region = 'theta_band'
# off_region = 'opposite'
print('off_region = {}'.format(off_region))

# key = 'log_s125'
key = 'reco_log_energy'
print('key = {}'.format(key))


    

    




on_region = disc
off_region = allsky
key = reco_log_energy

In [76]:

    

dec_bins = np.deg2rad(np.linspace(-90, -50, 3, endpoint=True))
dec_bins


    

    
Out[76]:





array([-1.57079633, -1.22173048, -0.87266463])

In [77]:

    

df_data.loc[energy_range_mask, [key, 'pred_comp_target']].values


    

    
Out[77]:





array([[6.34235091, 1.        ],
       [6.2167316 , 0.        ],
       [6.38275612, 1.        ],
       ...,
       [6.59969884, 1.        ],
       [6.20906215, 1.        ],
       [6.80435173, 1.        ]])

In [78]:

    

def hist_func(x):
    return x.sum(axis=1)


    

In [79]:

    

efficiencies, efficiencies_err


    

    
Out[79]:





(array([0.00711621, 0.00640114, 0.00792564, 0.00747336, 0.00837118,
        0.00800932, 0.00860879, 0.00827434, 0.00873487, 0.00842553,
        0.00880808, 0.00853552, 0.00885811, 0.00862577, 0.00889926,
        0.00871167, 0.00893319, 0.00879576, 0.00896376, 0.0088786 ,
        0.00899596, 0.00896131, 0.00902511, 0.00904439, 0.00905524,
        0.00912615, 0.00908302, 0.00920706, 0.00911336, 0.00928806,
        0.00914197, 0.00936856, 0.00917137, 0.00944958, 0.009201  ,
        0.00953194, 0.00922881, 0.00961275]),
 array([8.29777304e-05, 8.57625303e-05, 7.19382946e-05, 6.61293346e-05,
        6.54059105e-05, 6.52014986e-05, 7.09442272e-05, 6.84265813e-05,
        7.21341016e-05, 6.63914450e-05, 6.73062362e-05, 6.36186618e-05,
        6.30139937e-05, 5.42168561e-05, 5.99604535e-05, 5.08409622e-05,
        5.59194423e-05, 5.19360400e-05, 5.26195131e-05, 5.36111009e-05,
        5.78031878e-05, 5.78163099e-05, 5.92420408e-05, 6.35894786e-05,
        6.49120809e-05, 6.90722998e-05, 7.09011071e-05, 7.60155461e-05,
        7.87787430e-05, 7.98511024e-05, 8.71125516e-05, 8.73967893e-05,
        9.63753518e-05, 9.54478960e-05, 1.06367343e-04, 1.05070109e-04,
        1.14219864e-04, 1.14575277e-04]))

In [158]:

    

eff = np.load('efficienies.npy')
eff_err = np.load('efficienies_err.npy')
eff.reshape(-1)


    

    
Out[158]:





array([0.00711648, 0.00639353, 0.00792472, 0.00747015, 0.00837055,
       0.00800534, 0.00860573, 0.00827011, 0.00873291, 0.00842231,
       0.00880792, 0.00853085, 0.0088584 , 0.00862292, 0.00889751,
       0.00870882, 0.00893136, 0.00879243, 0.00896279, 0.00887518,
       0.0089931 , 0.00895761, 0.00902289, 0.00903992, 0.00905245,
       0.00912219, 0.0090819 , 0.00920444, 0.0091113 , 0.00928668,
       0.00914067, 0.00936892, 0.00917003, 0.00945116, 0.00919939,
       0.0095334 , 0.00922875, 0.00961564])

In [164]:

    

response, response_err = comp.response_matrix(true_energy=log_true_energy_sim_test,
                                              reco_energy=log_reco_energy_sim_test,
                                              true_target=true_target,
                                              pred_target=pred_target,
                                              efficiencies=eff.reshape(-1),
                                              efficiencies_err=eff_err.reshape(-1),
                                              energy_bins=energybins.log_energy_bins)


    

In [165]:

    

np.testing.assert_allclose(response.sum(axis=0), eff.reshape(-1))


    

In [166]:

    

plt.imshow(response, origin='lower')


    

    
Out[166]:





<matplotlib.image.AxesImage at 0x7f71007e9750>






    

In [52]:

    

unfolding_energy_range_mask = np.logical_and(energybins.log_energy_midpoints >= 6.4,
                                             energybins.log_energy_midpoints <= 7.8)


    

In [54]:

    

def unfolding_func(counts):
    original_shape = counts.shape
    counts_err = np.sqrt(counts)
    unfolded_results = pyunfold.iterative_unfold(data=counts.reshape(-1),
                                                 data_err=counts_err.reshape(-1),
                                                 response=response,
                                                 response_err=response_err,
                                                 efficiencies=efficiencies.reshape(-1),
                                                 efficiencies_err=efficiencies_err.reshape(-1),
                                                 ts='ks',
                                                 ts_stopping=0.01,
                                                 return_iterations=True,
#                                                  callbacks=pyunfold.Logger()
                                                )
#     print(unfolded_results)
#     unfolded = unfolded_results['unfolded']
    counts, counts_sys_err, counts_stat_err = comp.unfolded_counts_dist(unfolded_results,
                                                                        num_groups=num_groups)
#     print(unfolded.reshape(original_shape)[unfolding_energy_range_mask])
#     return unfolded.reshape(original_shape)[unfolding_energy_range_mask].sum(axis=1)

    eff_total = df_eff['eff_median_total'].values[unfolding_energy_range_mask]
    
    counts = counts['total'][unfolding_energy_range_mask] / eff_total
    counts_err = counts_sys_err['total'][unfolding_energy_range_mask] / eff_total

    return counts, counts_err


    

In [55]:

    

energybins.log_energy_midpoints


    

    
Out[55]:





array([6.15, 6.25, 6.35, 6.45, 6.55, 6.65, 6.75, 6.85, 6.95, 7.05, 7.15,
       7.25, 7.35, 7.45, 7.55, 7.65, 7.75, 7.85, 7.95])

In [56]:

    

unfolding_energy_range_mask


    

    
Out[56]:





array([False, False, False,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True, False,
       False])

In [57]:

    

energy_comp_bins = comp.get_bins(config=config, num_groups=2)
# energy_comp_bins[0] = energy_comp_bins[0][3:-2]
energy_comp_bins


    

    
Out[57]:





[array([6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 7. , 7.1, 7.2, 7.3,
        7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 8. ]), array([0, 1, 2])]

In [58]:

    

energy_comp_bins[0]


    

    
Out[58]:





array([6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 7. , 7.1, 7.2, 7.3,
       7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 8. ])

In [59]:

    

energy_comp_bins[0][3:-2]


    

    
Out[59]:





array([6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 7. , 7.1, 7.2, 7.3, 7.4, 7.5, 7.6,
       7.7, 7.8])

In [60]:

    

energy_comp_bins


    

    
Out[60]:





[array([6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 7. , 7.1, 7.2, 7.3,
        7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 8. ]), array([0, 1, 2])]

In [92]:

    

c, _ = np.histogramdd(df_data.loc[:, ['reco_log_energy', 'pred_comp_target']].values, bins=energy_comp_bins)
c


    

    
Out[92]:





array([[9.44957e+05, 7.51526e+05],
       [8.77673e+05, 6.99730e+05],
       [6.05615e+05, 5.26746e+05],
       [4.35386e+05, 3.43818e+05],
       [2.96770e+05, 2.19852e+05],
       [1.96104e+05, 1.37759e+05],
       [1.10422e+05, 9.93680e+04],
       [7.20010e+04, 5.71130e+04],
       [4.36660e+04, 3.45300e+04],
       [2.20760e+04, 2.50400e+04],
       [1.44320e+04, 1.44290e+04],
       [7.83900e+03, 9.94300e+03],
       [4.49200e+03, 6.75100e+03],
       [2.77700e+03, 4.31500e+03],
       [1.65400e+03, 2.98600e+03],
       [8.65000e+02, 2.03900e+03],
       [5.31000e+02, 1.29000e+03],
       [3.62000e+02, 7.95000e+02],
       [2.03000e+02, 5.99000e+02]])

In [99]:

    

c_shape = c.shape
unfolded_results = pyunfold.iterative_unfold(data=c.reshape(-1),
                                             data_err=c.reshape(-1),
                                             response=response,
                                             response_err=response_err,
                                             efficiencies=efficiencies.reshape(-1),
                                             efficiencies_err=efficiencies_err.reshape(-1),
                                             ts='ks',
                                             ts_stopping=0.01,
                                             return_iterations=True,
                                             callbacks=pyunfold.Logger())


    

    




Iteration 1: ts = 0.6100, ts_stopping = 0.01
Iteration 2: ts = 0.0444, ts_stopping = 0.01
Iteration 3: ts = 0.0162, ts_stopping = 0.01
Iteration 4: ts = 0.0097, ts_stopping = 0.01

In [100]:

    

unfolded_results


    

    
Out[100]:







  

    

      

      
num_iterations
      
stat_err
      
sys_err
      
ts_iter
      
ts_stopping
      
unfolded
    
  
  

    

      
0
      
1
      
[72144060.5539402, 65263651.468855485, 4939159...
      
[9260598.502860475, 9260451.954531727, 6047797...
      
0.609956
      
0.01
      
[122256006.86924757, 118236547.14915477, 10095...
    
    

      
1
      
2
      
[110172338.16200663, 96591482.34649698, 649492...
      
[14540329.181402853, 14505296.89321703, 831131...
      
0.044443
      
0.01
      
[141462877.96656603, 133608476.85272926, 10694...
    
    

      
2
      
3
      
[136007465.61649355, 119147582.6842352, 788618...
      
[18470628.938835535, 18451994.46890841, 101028...
      
0.016188
      
0.01
      
[149952668.24413016, 139399778.8103174, 107243...
    
    

      
3
      
4
      
[157758072.15801272, 139035507.63523868, 91851...
      
[21756871.75994542, 21806682.48076413, 1175591...
      
0.009716
      
0.01
      
[155105714.47073385, 142780131.99427956, 10656...
    
  

In [101]:

    

counts, counts_sys_err, counts_stat_err = comp.unfolded_counts_dist(unfolded_results,
                                                                    num_groups=num_groups)
counts


    

    
Out[101]:





{'heavy': array([1.42780132e+08, 8.19576562e+07, 5.01552462e+07, 3.48210577e+07,
        2.33715443e+07, 1.41525433e+07, 9.05747716e+06, 6.18954766e+06,
        3.73280514e+06, 2.38509106e+06, 1.65700170e+06, 1.02448150e+06,
        7.24417517e+05, 5.11601409e+05, 3.01854100e+05, 2.32379029e+05,
        1.27258209e+05, 9.47463201e+04, 5.77088332e+04]),
 'light': array([1.55105714e+08, 1.06566543e+08, 7.64276121e+07, 5.05317203e+07,
        3.49518159e+07, 2.21007515e+07, 1.37153312e+07, 7.84634774e+06,
        4.89284370e+06, 2.64138672e+06, 1.57388165e+06, 8.38666820e+05,
        4.26289476e+05, 2.82155681e+05, 1.76665236e+05, 9.31184983e+04,
        4.67541565e+04, 2.71273641e+04, 1.92186823e+04]),
 'total': array([2.97885846e+08, 1.88524199e+08, 1.26582858e+08, 8.53527781e+07,
        5.83233602e+07, 3.62532948e+07, 2.27728084e+07, 1.40358954e+07,
        8.62564883e+06, 5.02647778e+06, 3.23088335e+06, 1.86314832e+06,
        1.15070699e+06, 7.93757091e+05, 4.78519337e+05, 3.25497527e+05,
        1.74012366e+05, 1.21873684e+05, 7.69275156e+04])}

In [204]:

    

def counts_to_flux(counts, counts_err=None, composition=None):
    return comp.get_flux(counts, counts_err,
                         energybins=energybins.energy_bins,
                         eff_area=thrown_area,
#                          eff_area=geom_factor * thrown_area,
                         eff_area_err=None,                            
#                              eff_area=geom_factor * eff_area[composition],
#                              eff_area_err=geom_factor * eff_area_err[composition],
                         livetime=livetime,
                         livetime_err=livetime_err,
                         solid_angle=solid_angle,
                         scalingindex=2.7)


    

In [221]:

    

unfolded_err = unfolded_results['stat_err'].reshape(c_shape)
unfolded_err


    

    
Out[221]:





array([[1.91785034e+08, 1.64363918e+08],
       [9.65102288e+07, 7.62024645e+07],
       [7.83126921e+07, 5.66765975e+07],
       [5.27301723e+07, 3.88060493e+07],
       [4.16657475e+07, 2.74987447e+07],
       [2.77989062e+07, 1.81228861e+07],
       [1.62761629e+07, 1.26755588e+07],
       [1.00017004e+07, 7.95538018e+06],
       [6.55718913e+06, 5.35622026e+06],
       [2.92628875e+06, 3.17312300e+06],
       [2.03729344e+06, 2.19840475e+06],
       [1.02733366e+06, 1.35067847e+06],
       [5.64279443e+05, 1.01004526e+06],
       [3.47550012e+05, 6.64206744e+05],
       [2.40858616e+05, 4.52939795e+05],
       [1.19665254e+05, 3.17960126e+05],
       [6.88879301e+04, 1.92893427e+05],
       [3.36896519e+04, 1.19889391e+05],
       [3.55206632e+04, 2.08913471e+05]])

In [218]:

    

fig, ax = plt.subplots()
unfolded = unfolded_results['unfolded'].reshape(c_shape)
unfolded_err = unfolded_results['sys_err'].reshape(c_shape)
for comp_idx, composition in enumerate(comp_list):
    counts = unfolded[:, comp_idx]
    counts_err = unfolded_err[:, comp_idx]
    flux, flux_err = counts_to_flux(counts, counts_err)
    plt.errorbar(energybins.log_energy_midpoints,
                 flux,
                 yerr=flux_err,
                 color=color_dict[composition])
    
# counts_total = unfolded.sum(axis=1)

# plt.errorbar(energybins.log_energy_midpoints[unfolding_energy_range_mask],
#              unfolded[unfolding_energy_range_mask, :].sum(axis=1), 
#              yerr=unfolded_err[unfolding_energy_range_mask, :].sum(axis=1),
#              color=color_dict['total'])

ax.set_yscale('log', nonposy='clip')
ax.set_xlim(6.4, 7.8)
ax.grid()
plt.show()


    

In [104]:

    

pix_max_sig


    

    
Out[104]:





48845

In [61]:

    

sa.core.on_off_chi_squared_single(samples=df_data.loc[energy_range_mask, ['reco_log_energy', 'pred_comp_target']].values,
                                  pix=df_data.loc[energy_range_mask, 'pix'].values,
                                  pix_center=pix_disc[0],
                                  on_region=on_region,
                                  size=size,
                                  off_region=off_region,
                                  bins=energy_comp_bins,
                                  nside=nside,
                                  hist_func=unfolding_func)


    

    





NameErrorTraceback (most recent call last)
<ipython-input-61-ea09242e54ef> in <module>()
      1 sa.core.on_off_chi_squared_single(samples=df_data.loc[energy_range_mask, ['reco_log_energy', 'pred_comp_target']].values,
      2                                   pix=df_data.loc[energy_range_mask, 'pix'].values,
----> 3                                   pix_center=pix_disc[0],
      4                                   on_region=on_region,
      5                                   size=size,

NameError: name 'pix_disc' is not defined

In [64]:

    

from sky_anisotropy.core import on_off_chi_squared_single

counts_on_test, counts_on_err_test, counts_off_test, counts_off_err_test = sa.on_off_distributions(
                          samples=df_data.loc[energy_range_mask, ['reco_log_energy', 'pred_comp_target']].values,
                          pix=df_data.loc[energy_range_mask, 'pix'].values,
                          pix_center=pix_disc[0],
                          on_region=on_region,
                          size=size,
                          off_region=off_region,
                          bins=energy_comp_bins,
                          nside=nside,
                          hist_func=unfolding_func)
#                           hist_func=hist_func)


    

In [65]:

    

counts_on_test.shape


    

    
Out[65]:





(14,)

In [66]:

    

energy_comp_bins[0][:-1].shape


    

    
Out[66]:





(19,)

In [67]:

    

counts_on_test.shape


    

    
Out[67]:





(14,)

In [70]:

    

unfolded_counts_on_test = counts_on_test
unfolded_counts_on_err_test = counts_on_err_test
unfolded_counts_off_test = counts_off_test
unfolded_counts_off_err_test = counts_off_err_test

alpha = np.sum(unfolded_counts_on_test) / np.sum(unfolded_counts_off_test)
scaled_unfolded_counts_off_test = alpha * unfolded_counts_off_test
scaled_unfolded_counts_off_err_test = alpha * unfolded_counts_off_err_test

fig, ax = plt.subplots()
ax.errorbar(energy_comp_bins[0][:-1][unfolding_energy_range_mask],
            unfolded_counts_on_test,
            unfolded_counts_on_err_test,
            label='On',
            color='C0')
ax.errorbar(energy_comp_bins[0][:-1][unfolding_energy_range_mask],
            scaled_unfolded_counts_off_test,
            scaled_unfolded_counts_off_err_test,
            label='Off',
            color='C1')
# comp.plot_steps(energy_comp_bins[0][unfolding_energy_range_mask], scaled_counts_off_test, np.sqrt(scaled_counts_off_test), label='Off', color='C1', ax=ax)
ax.set_yscale('log', nonposy='clip')
ax.grid()
ax.legend()
plt.show()


    

In [139]:

    

sa.core.counts_chi_squared(unfolded_counts_on_test, scaled_unfolded_counts_off_test)


    

    
Out[139]:





2314.8055282815576

In [240]:

    

pix_disc = np.arange(npix)[has_data]
pix_disc.shape


    

    
Out[240]:





(3280,)

In [241]:

    

num_workers = min(len(pix_disc), 35)
with dask.config.set(scheduler='threads', num_workers=num_workers) as _, ProgressBar() as pbar:
    samples = df_data.loc[:, [key]].values
    pix = df_data.loc[:, 'pix'].values
    results = sa.on_off_chi_squared(
#                                     samples=df_data.loc[:, ['reco_log_energy', 'pred_comp_target']].values,
                                    samples=samples,
                                    pix=pix,
                                    pix_center=pix_disc,
                                    on_region=on_region,
                                    size=size,
                                    off_region=off_region,
                                    bins=ebins, 
#                                     bins=energy_comp_bins,
                                    nside=nside,
#                                     hist_func=unfolding_func,
                                    )