from __future__ import print_function

import nltk
import sklearn
#from pyspark import SparkFiles
#from pyspark import SparkConf, SparkContext

import torch

print ('The nltk version is {}.'.format(nltk.__version__))
print ('The scikit-learn version is {}.'.format(sklearn.__version__))
print( "blah2018_04_06")
torch.version.__version__

from plotly import __version__
print (__version__)

from plotly.offline import download_plotlyjs,init_notebook_mode,plot,iplot

from plotly.offline import download_plotlyjs,init_notebook_mode,plot,iplot

init_notebook_mode(connected=True)

#import plotly.plotly as py
#import cufflinks as cf
import pandas as pd
import numpy as np
#print (cf.__version__)

import tensorflow as tf
hello = tf.constant('Yo bro')
#sess = tf.Session()
#sess.run(hello)
hello

print (tf.__version__)

a = tf.constant(10)
b = tf.constant(32)
#sess.run(a + b)
print(a,b)

#sess.close()