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#!/usr/bin/env python3

# -*- coding: utf-8 -*-

"""

Created on Sat Mar 13 13:45:20 2021

@author: erkinmenderes

"""

import os

import glob

import os

import subprocess

import sys

import argparse

import re

import csv

import gzip

import igraph

from igraph import *

import matplotlib

from matplotlib import *

def ontology_create(data):

    graph = []

    clean_graph=[]

    n=0

    a=0

    words=[]

    new_tags=[]

    tags=[]

    tag=''

    flag=False

    count=0

    nodes_1=[]

    nodes_2=[]

    vertices=[]

    relation=[]

    g = Graph()

    edges=[]

    with open(data, 'r', encoding ='utf8') as csvfile:

        read = csv.reader(csvfile, delimiter='\t', quotechar='\t') 

        for line in read: 

               if '/c/en/' in line[2] and '/c/en/' in line[3]:

                        nodes_1.append(line[2].replace('/c/en/','').replace('/n','').replace('/v','').replace('/a','').replace('/s','').replace('/r',''))

                        nodes_2.append(line[3].replace('/c/en/','').replace('/n','').replace('/v','').replace('/a','').replace('/s','').replace('/r',''))

                        relation.append(line[1])

                        count=count+1

#                         if count==50:

#                             break

    edges=zip(nodes_1,nodes_2)

    unique_nodes = list(set(nodes_1).union(nodes_2))

    vertex = unique_nodes[:]

    #print(unique_nodes)

    for i in range(len(unique_nodes)):

         g.add_vertices(unique_nodes[i])

    return unique_nodes

onto_list = ontology_create('conceptnet-assertions-5.6.0.csv')

x = onto_list 

y = 0

onto_dict = dict.fromkeys(x,y)