

"""simple docstring"""


import math
import sys



def   _A					(	_a	:						Union[str, Any]				):



      """simple docstring"""






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



def   _A					(	_a	:						Optional[Any]				):



      """simple docstring"""






      A				  =		{"""0""": """0""", """1""": """1"""}
      A				  =		"""""", """"""
      A				  =		len(lowerCamelCase_				)

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

            A				  =		lexicon[curr_string]
            result += last_match_id
            A				  =		last_match_id + """0"""

            if math.loga(lowerCamelCase_				).is_integer():
                  A				  =		{}
                  for curr_key in list(lowerCamelCase_				):
                        A				  =		lexicon.pop(lowerCamelCase_				)
                  A				  =		new_lex

            A				  =		last_match_id + """1"""
            index += 1
            A				  =		""""""
      return result



def   _A					(	_a	:						List[Any]     ,   _a	:						Dict				):



      """simple docstring"""






      A				  =		8
      try:
            with open(lowerCamelCase_     ,   """wb"""				) as opened_file:
                  A				  =		[
                      to_write[i : i + byte_length]
                      for i in range(0     ,   len(lowerCamelCase_				)     ,   lowerCamelCase_				)
                  ]

                  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[:-1]:
                        opened_file.write(int(lowerCamelCase_     ,   2				).to_bytes(1     ,   byteorder="""big"""				)				)
      except OSError:
            print("""File not accessible"""				)
            sys.exit()



def   _A					(	_a	:						Optional[int]				):



      """simple docstring"""






      A				  =		0
      for letter in data_bits:
            if letter == "1":
                  break
            counter += 1

      A				  =		data_bits[counter:]
      A				  =		data_bits[counter + 1 :]
      return data_bits



def   _A					(	_a	:						Union[str, Any]     ,   _a	:						Union[str, Any]				):



      """simple docstring"""






      A				  =		read_file_binary(lowerCamelCase_				)
      A				  =		remove_prefix(lowerCamelCase_				)
      A				  =		decompress_data(lowerCamelCase_				)
      write_file_binary(lowerCamelCase_     ,   lowerCamelCase_				)


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











'''simple docstring'''




import os
import sys
import unittest


__UpperCAmelCase            =       os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
__UpperCAmelCase            =       os.path.join(git_repo_path, """src""", """transformers""")

__UpperCAmelCase            =       """
{0} = None
"""

__UpperCAmelCase            =       """
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
"""


__UpperCAmelCase            =       """
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""




class      UpperCamelCase__					(					unittest.TestCase			):




					"""simple docstring"""


					def lowerCamelCase_			(						self				:			List[str]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			find_backend("""    _import_structure[\"models.albert\"].append(\"AlbertTokenizerFast\")"""						)
							self.assertIsNone(lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				str		=			find_backend("""    if not is_tokenizers_available():"""						)
							self.assertEqual(lowerCamelCase_      ,						"""tokenizers"""						)

							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			find_backend("""    if not is_tensorflow_text_available():"""						)
							self.assertEqual(lowerCamelCase_      ,						"""tensorflow_text"""						)

							SCREAMING_SNAKE_CASE :				List[str]		=			find_backend("""    if not (is_sentencepiece_available() and is_tokenizers_available()):"""						)
							self.assertEqual(lowerCamelCase_      ,						"""sentencepiece_and_tokenizers"""						)

							SCREAMING_SNAKE_CASE :				Tuple		=			find_backend(
							    """    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"""						)
							self.assertEqual(lowerCamelCase_      ,						"""sentencepiece_and_tensorflow_text"""						)

							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			find_backend(
							    """    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):"""						)
							self.assertEqual(lowerCamelCase_      ,						"""sentencepiece_and_tokenizers_and_vision"""						)


					def lowerCamelCase_			(						self				:			Any						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Optional[Any]		=			read_init()
							# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
							self.assertIn("""torch"""      ,						lowerCamelCase_						)
							self.assertIn("""tensorflow_text"""      ,						lowerCamelCase_						)
							self.assertIn("""sentencepiece_and_tokenizers"""      ,						lowerCamelCase_						)

							# Likewise, we can't assert on the exact content of a key
							self.assertIn("""BertModel"""      ,						objects["""torch"""]						)
							self.assertIn("""TFBertModel"""      ,						objects["""tf"""]						)
							self.assertIn("""FlaxBertModel"""      ,						objects["""flax"""]						)
							self.assertIn("""BertModel"""      ,						objects["""torch"""]						)
							self.assertIn("""TFBertTokenizer"""      ,						objects["""tensorflow_text"""]						)
							self.assertIn("""convert_slow_tokenizer"""      ,						objects["""sentencepiece_and_tokenizers"""]						)


					def lowerCamelCase_			(						self				:			int						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				str		=			create_dummy_object("""CONSTANT"""      ,						"""'torch'"""						)
							self.assertEqual(lowerCamelCase_      ,						"""\nCONSTANT = None\n"""						)

							SCREAMING_SNAKE_CASE :				List[Any]		=			create_dummy_object("""function"""      ,						"""'torch'"""						)
							self.assertEqual(
							    lowerCamelCase_      ,						"""\ndef function(*args, **kwargs):\n    requires_backends(function, 'torch')\n"""						)

							SCREAMING_SNAKE_CASE :				str		=			"""
class FakeClass(metaclass=DummyObject):
    _backends = 'torch'

    def __init__(self, *args, **kwargs):
        requires_backends(self, 'torch')
"""
							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			create_dummy_object("""FakeClass"""      ,						"""'torch'"""						)
							self.assertEqual(lowerCamelCase_      ,						lowerCamelCase_						)



					def lowerCamelCase_			(						self				:			int						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			"""# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends


CONSTANT = None


def function(*args, **kwargs):
    requires_backends(function, [\"torch\"])


class FakeClass(metaclass=DummyObject):
    _backends = [\"torch\"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, [\"torch\"])
"""
							SCREAMING_SNAKE_CASE :				List[Any]		=			create_dummy_files({"""torch""": ["""CONSTANT""", """function""", """FakeClass"""]}						)
							self.assertEqual(dummy_files["""torch"""]      ,						lowerCamelCase_						)



