class_docstr: Wikidata service
  
  Args:
      http_proxy(str) : http proxy
      https_proxy(str) : https proxy
class_docstr_tok: ["Wikidata","service","Args",":","http_proxy","(","str",")",":","http","proxy","https_proxy","(","str",")",":","https","proxy"]
docstr: extract Wikidata indicator-feature (1 if exist in Wikidata, else 0)
  
  Args:
      candidates(list(str)): a list of all possible candidates to have Wikidata entry
  
  Returns :
      int: 1 if exist in Wikidata for any candidate in candidates, else 0
docstr_tok: ["extract","Wikidata","indicator-feature","(","1","if","exist","in","Wikidata",",","else","0",")","Args",":","candidates","(","list","(","str",")",")",":","a","list","of","all","possible","candidates","to","have","Wikidata","entry","Returns",":","int",":","1","if","exist","in","Wikidata","for","any","candidate","in","candidates",",","else","0"]
code: def find_wikidata_existence(self, candidates):
      """
      extract Wikidata indicator-feature (1 if exist in Wikidata, else 0)
  
      Args:
          candidates(list(str)): a list of all possible candidates to have Wikidata entry
  
      Returns :
          int: 1 if exist in Wikidata for any candidate in candidates, else 0
      """
      for candidate in set(candidates):
          if self.has_item(candidate):
              return 1
      return 0
  
imports: import nltk
  import nltk.corpus
  import numpy
  import requests
  from gensim.models.keyedvectors import KeyedVectors
  from nltk.corpus import wordnet
  from nltk.stem.snowball import SnowballStemmer
  from nlp_architect.utils.generic import license_prompt
label_desc: Use image node_id 2 for calling the Wikidata obj's underlying member method code with example usage: obj.find_wikidata_existence(candidates) and returns: int, int