#!/usr/bin/env python
# coding: utf-8

# In[1]:


import pandas as pd
import csv
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.cluster import KMeans


# In[2]:


#dev0
dev0_data = pd.read_csv('dev-0/in.tsv', header=None, quoting=csv.QUOTE_NONE, sep='\t')

dev0_y = KMeans(n_clusters=50).fit_predict(TfidfVectorizer().fit_transform(dev0_data[0].values))

#zapis wyników
dev0_y.tofile('dev-0/out.tsv', sep='\n')


# In[3]:


#TestA
testA_data = pd.read_csv('test-A/in.tsv', header=None, quoting=csv.QUOTE_NONE, sep='\t')

testA_y = KMeans(n_clusters=50).fit_predict(TfidfVectorizer().fit_transform(testA_data[0].values))

#zapis wyników
testA_y.tofile('test-A/out.tsv', sep='\n')