code: def read(self, model_path):
      self.w2idf = {}
      self.w2tfidf = {}
  
      with open(
          os.path.join(model_path, self.WORD_2_IDF_FILE_NAME),
          "r",
          encoding="utf-8",
      ) as f:
          for line in f.readlines():
              # Fix https://github.com/makcedward/nlpaug/issues/201
              try:
                  w, s = line.split(" ")
              except:
                  raise ValueError(
                      "line may include more than 1 space. Please check {}".format(
                          line
                      )
                  )
              self.w2idf[w] = float(s)
  
      with open(
          os.path.join(model_path, self.WORD_2_TFIDF_FILE_NAME),
          "r",
          encoding="utf-8",
      ) as f:
          for line in f.readlines():
              # Fix https://github.com/makcedward/nlpaug/issues/201
              try:
                  w, s = line.split(" ")
              except:
                  raise ValueError(
                      "line may include more than 1 space. Please check {}".format(
                          line
                      )
                  )
              self.w2tfidf[w] = float(s)
      self.tokens = list(self.w2tfidf.keys())
      self.tfidf_scores = list(self.w2tfidf.values())
  
file_path: nlpaug/nlpaug/model/word_stats/tfidf.py
imports: import os
  import math
  import numpy
  from nlpaug.model.word_stats import WordStatistics
label_desc: Use image node_id 7 for calling the TfIdf obj's underlying member method code with example usage: obj.read(model_path) without return types