

import math
import os
import sys





def      snake_case_				(__A					:						str					)      ->     str:
   __lowerCAmelCase  :      List[Any]    =						""""""
   try:
      with open(__A ,       """rb"""					) as binary_file:
         __lowerCAmelCase  :      List[Any]    =						binary_file.read()
      for dat in data:
         __lowerCAmelCase  :      Dict    =						f'''{dat:08b}'''
         result += curr_byte
      return result
   except OSError:
      print("""File not accessible"""					)
      sys.exit()





def      snake_case_				(__A					:						dict[str, str] ,       __A					:						str ,       __A					:						int ,       __A					:						str					)      ->     None:
   lexicon.pop(__A					)
   __lowerCAmelCase  :      List[str]    =						last_match_id

   if math.loga(__A					).is_integer():
      for curr_key in lexicon:
         __lowerCAmelCase  :      Optional[int]    =						"""0""" + lexicon[curr_key]

   __lowerCAmelCase  :      Optional[int]    =						bin(__A					)[2:]





def      snake_case_				(__A					:						str					)      ->     str:
   __lowerCAmelCase  :      Optional[int]    =						{"""0""": """0""", """1""": """1"""}
   __lowerCAmelCase  :      int    =						"""""", """"""
   __lowerCAmelCase  :      str    =						len(__A					)

   for i in range(len(__A					)					):
      curr_string += data_bits[i]
      if curr_string not in lexicon:
         continue

      __lowerCAmelCase  :      Optional[int]    =						lexicon[curr_string]
      result += last_match_id
      add_key_to_lexicon(__A ,       __A ,       __A ,       __A					)
      index += 1
      __lowerCAmelCase  :      int    =						""""""

   while curr_string != "" and curr_string not in lexicon:
      curr_string += "0"

   if curr_string != "":
      __lowerCAmelCase  :      Optional[Any]    =						lexicon[curr_string]
      result += last_match_id

   return result





def      snake_case_				(__A					:						str ,       __A					:						str					)      ->     str:
   __lowerCAmelCase  :      List[str]    =						os.path.getsize(__A					)
   __lowerCAmelCase  :      Optional[int]    =						bin(__A					)[2:]
   __lowerCAmelCase  :      Optional[int]    =						len(__A					)

   return "0" * (length_length - 1) + file_length_binary + compressed





def      snake_case_				(__A					:						str ,       __A					:						str					)      ->     None:
   __lowerCAmelCase  :      Tuple    =						8
   try:
      with open(__A ,       """wb"""					) as opened_file:
         __lowerCAmelCase  :      Any    =						[
             to_write[i : i + byte_length]
             for i in range(0 ,       len(__A					) ,       __A					)
         ]

         if len(result_byte_array[-1]					) % byte_length == 0:
            result_byte_array.append("""10000000"""					)
         else:
            result_byte_array[-1] += "1" + "0" * (
                byte_length - len(result_byte_array[-1]					) - 1
            )

         for elem in result_byte_array:
            opened_file.write(int(__A ,       2					).to_bytes(1 ,       byteorder="""big"""					)					)
   except OSError:
      print("""File not accessible"""					)
      sys.exit()





def      snake_case_				(__A					:						str ,       __A					:						str					)      ->     None:
   __lowerCAmelCase  :      int    =						read_file_binary(__A					)
   __lowerCAmelCase  :      Any    =						compress_data(__A					)
   __lowerCAmelCase  :      Optional[Any]    =						add_file_length(__A ,       __A					)
   write_file_binary(__A ,       __A					)


if __name__ == "__main__":
   compress(sys.argv[1], sys.argv[2])





__UpperCAmelCase								=			"""
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

__UpperCAmelCase								=			[{"""type""": """code""", """content""": INSTALL_CONTENT}]
__UpperCAmelCase								=			{
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}


