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## test_sklearn_issue_5136.py
import pandas as pd
import numpy as np
from sklearn.naive_bayes import MultinomialNB
import unicodedata
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.cross_validation import train_test_split

path='./BUG-SKLEARN-MNB/'
#%% load et normalisation des donnees
# def norm(x):

## joblib_bench.py
import time
import sys

import numpy as np


np.random.seed(0)
N = int(1e7)
big_array = np.random.random(N)

## line_with_scientific_notation_coordinates.svg

      
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                lesteve
                / line_with_scientific_notation_coordinates.svg
            
            
              Created
              September 8, 2014 21:16
            
              
                SVG using scientific notation for one of its path coordinates
              
          
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## groupby_plotting.ipynb

      
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                lesteve
                / groupby_plotting.ipynb
            
            
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              December 15, 2015 21:59
            
          
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## embed_kernel_and_connected_notebook.py
from IPython import embed_kernel

import start_notebook

def main():
    p = start_notebook.main()
    localDict = { 'a':1, 'b':2 }
    embed_kernel()
    p.kill()

## ipkernelapp_outside_main_thread.py
import threading
import sys
import signal
# this is the heavy monkey-patching that actually works
# i.e. you can start the kernel fine and connect to it e.g. via
# ipython console --existing
# signal.signal = lambda *args, **kw: None
from IPython.zmq.ipkernel import IPKernelApp

app = IPKernelApp.instance()
	import pandas as pd
	import numpy as np
	from sklearn.naive_bayes import MultinomialNB
	import unicodedata
	from sklearn.feature_extraction.text import TfidfVectorizer
	from sklearn.cross_validation import train_test_split

	path='./BUG-SKLEARN-MNB/'
	#%% load et normalisation des donnees
	# def norm(x):
	import time
	import sys

	import numpy as np


	np.random.seed(0)
	N = int(1e7)
	big_array = np.random.random(N)
	from IPython import embed_kernel

	import start_notebook

	def main():
	p = start_notebook.main()
	localDict = { 'a':1, 'b':2 }
	embed_kernel()
	p.kill()
	import threading
	import sys
	import signal
	# this is the heavy monkey-patching that actually works
	# i.e. you can start the kernel fine and connect to it e.g. via
	# ipython console --existing
	# signal.signal = lambda args, *kw: None
	from IPython.zmq.ipkernel import IPKernelApp

	app = IPKernelApp.instance()