
import math
import os
import sys

def a__    (       A_					):






  '''simple docstring'''





  __magic_name__				     =       """"""
  try:
    with open(A_,     """rb"""					) as binary_file:
      __magic_name__				     =       binary_file.read()
    for dat in data:
      __magic_name__				     =       f'''{dat:08b}'''
      result += curr_byte
    return result
  except OSError:
    print("""File not accessible"""					)
    sys.exit()

def a__    (       A_,     A_,     A_,     A_					):






  '''simple docstring'''





  lexicon.pop(A_					)
  __magic_name__				     =       last_match_id

  if math.loga(A_					).is_integer():
    for curr_key in lexicon:
      __magic_name__				     =       """0""" + lexicon[curr_key]

  __magic_name__				     =       bin(A_					)[2:]

def a__    (       A_					):






  '''simple docstring'''





  __magic_name__				     =       {"""0""": """0""", """1""": """1"""}
  __magic_name__     ,    __magic_name__				     =       """""", """"""
  __magic_name__				     =       len(A_					)

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

    __magic_name__				     =       lexicon[curr_string]
    result += last_match_id
    add_key_to_lexicon(A_,     A_,     A_,     A_					)
    index += 1
    __magic_name__				     =       """"""

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

  if curr_string != "":
    __magic_name__				     =       lexicon[curr_string]
    result += last_match_id

  return result

def a__    (       A_,     A_					):






  '''simple docstring'''





  __magic_name__				     =       os.path.getsize(A_					)
  __magic_name__				     =       bin(A_					)[2:]
  __magic_name__				     =       len(A_					)

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

def a__    (       A_,     A_					):






  '''simple docstring'''





  __magic_name__				     =       8
  try:
    with open(A_,     """wb"""					) as opened_file:
      __magic_name__				     =       [
          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 a__    (       A_,     A_					):






  '''simple docstring'''





  __magic_name__				     =       read_file_binary(A_					)
  __magic_name__				     =       compress_data(A_					)
  __magic_name__				     =       add_file_length(A_,     A_					)
  write_file_binary(A_,     A_					)


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



from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase			:     Any           =   {
    'configuration_mctct': ['MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MCTCTConfig'],
    'feature_extraction_mctct': ['MCTCTFeatureExtractor'],
    'processing_mctct': ['MCTCTProcessor'],
}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCAmelCase			:     int           =   [
        'MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'MCTCTForCTC',
        'MCTCTModel',
        'MCTCTPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
    from .feature_extraction_mctct import MCTCTFeatureExtractor
    from .processing_mctct import MCTCTProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
    import sys

    __lowerCAmelCase			:     List[Any]           =   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

