text: # The MIT License (MIT)
  #
  # Copyright (c) 2020 Aibolit
  #
  # Permission is hereby granted, free of charge, to any person obtaining a copy
  # of this software and associated documentation files (the "Software"), to deal
  # in the Software without restriction, including without limitation the rights
  # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  # copies of the Software, and to permit persons to whom the Software is
  # furnished to do so, subject to the following conditions:
  #
  # The above copyright notice and this permission notice shall be included
  # in all copies or substantial portions of the Software.
  #
  # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  # FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE
  # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  # SOFTWARE.
  
  import javalang
  from typing import List
  import numpy as np  # type: ignore
  from scipy.stats import entropy  # type: ignore
  
  from aibolit.utils.encoding_detector import read_text_with_autodetected_encoding
  
  
  class Entropy:
      def __init__(self):
          pass
  
      def __file_to_tokens(self, filename: str) -> List[str]:
          '''Takes path to java class file and returns tokens'''
          source_code = read_text_with_autodetected_encoding(filename)
          tokens = javalang.tokenizer.tokenize(source_code)
          return [token.value for token in tokens]
  
      def value(self, filename: str):
          tokens = self.__file_to_tokens(filename)
          _, counts = np.unique(tokens, return_counts=True)
          return entropy(counts)
  