


import math
import sys


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


def 			_lowercase       (				UpperCamelCase__       :					List[str]			):
 __A  :		Union[str, Any]       =			{'0': '0', '1': '1'}
 __A     ,__A  :		int       =			'', ''
 __A  :		str       =			len(UpperCamelCase__			)

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

  __A  :		int       =			lexicon[curr_string]
  result += last_match_id
  __A  :		List[str]       =			last_match_id + '0'

  if math.loga(UpperCamelCase__			).is_integer():
   __A  :		Any       =			{}
   for curr_key in list(UpperCamelCase__			):
    __A  :		Optional[Any]       =			lexicon.pop(UpperCamelCase__			)
   __A  :		int       =			new_lex

  __A  :		Any       =			last_match_id + '1'
  index += 1
  __A  :		Optional[int]       =			''
 return result


def 			_lowercase       (				UpperCamelCase__       :					str,				UpperCamelCase__       :					Tuple			):
 __A  :		List[str]       =			8
 try:
  with open(UpperCamelCase__,				'wb'			) as opened_file:
   __A  :		Tuple       =			[
       to_write[i : i + byte_length]
       for i in range(0,				len(UpperCamelCase__			),				UpperCamelCase__			)
   ]

   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(UpperCamelCase__,				2			).to_bytes(1,				byteorder='big'			)			)
 except OSError:
  print('File not accessible'			)
  sys.exit()


def 			_lowercase       (				UpperCamelCase__       :					int			):
 __A  :		List[str]       =			0
 for letter in data_bits:
  if letter == "1":
   break
  counter += 1

 __A  :		str       =			data_bits[counter:]
 __A  :		Any       =			data_bits[counter + 1 :]
 return data_bits


def 			_lowercase       (				UpperCamelCase__       :					List[str],				UpperCamelCase__       :					str			):
 __A  :		List[Any]       =			read_file_binary(UpperCamelCase__			)
 __A  :		Tuple       =			remove_prefix(UpperCamelCase__			)
 __A  :		List[Any]       =			decompress_data(UpperCamelCase__			)
 write_file_binary(UpperCamelCase__,				UpperCamelCase__			)


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










'''simple docstring'''
import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin

class 						_lowerCamelCase					(    snake_case_    ,		unittest.TestCase				):




 '''simple docstring'''
 __lowercase				:		Dict    							=						XLMTokenizer
 __lowercase				:		Any    							=						False


 def  snake_case__   (      self						):

  """simple docstring"""







  super().setUp()

  # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
  __A  :		Optional[int]       =			[
      'l',
      'o',
      'w',
      'e',
      'r',
      's',
      't',
      'i',
      'd',
      'n',
      'w</w>',
      'r</w>',
      't</w>',
      'lo',
      'low',
      'er</w>',
      'low</w>',
      'lowest</w>',
      'newer</w>',
      'wider</w>',
      '<unk>',
  ]
  __A  :		int       =			dict(zip(__lowercase      ,      range(len(__lowercase						)						)						)						)
  __A  :		str       =			['l o 123', 'lo w 1456', 'e r</w> 1789', '']

  __A  :		Dict       =			os.path.join(self.tmpdirname      ,      VOCAB_FILES_NAMES['vocab_file']						)
  __A  :		List[Any]       =			os.path.join(self.tmpdirname      ,      VOCAB_FILES_NAMES['merges_file']						)
  with open(self.vocab_file      ,      'w'						) as fp:
   fp.write(json.dumps(__lowercase						)						)
  with open(self.merges_file      ,      'w'						) as fp:
   fp.write('\n'.join(__lowercase						)						)


 def  snake_case__   (      self      ,      __lowercase						):

  """simple docstring"""







  __A  :		Any       =			'lower newer'
  __A  :		int       =			'lower newer'
  return input_text, output_text


 def  snake_case__   (      self						):

  """simple docstring"""







  __A  :		Any       =			XLMTokenizer(self.vocab_file      ,      self.merges_file						)

  __A  :		Optional[Any]       =			'lower'
  __A  :		Union[str, Any]       =			['low', 'er</w>']
  __A  :		Any       =			tokenizer.tokenize(__lowercase						)
  self.assertListEqual(__lowercase      ,      __lowercase						)

  __A  :		Optional[int]       =			tokens + ['<unk>']
  __A  :		Any       =			[14, 15, 20]
  self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowercase						)      ,      __lowercase						)







 @slow
 def  snake_case__   (      self						):

  """simple docstring"""







  __A  :		List[Any]       =			XLMTokenizer.from_pretrained('xlm-mlm-en-2048'						)

  __A  :		Tuple       =			tokenizer.encode('sequence builders'      ,      add_special_tokens=__lowercase						)
  __A  :		Union[str, Any]       =			tokenizer.encode('multi-sequence build'      ,      add_special_tokens=__lowercase						)

  __A  :		int       =			tokenizer.build_inputs_with_special_tokens(__lowercase						)
  __A  :		Tuple       =			tokenizer.build_inputs_with_special_tokens(__lowercase      ,      __lowercase						)

  assert encoded_sentence == [0] + text + [1]
  assert encoded_pair == [0] + text + [1] + text_a + [1]






