import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
      SCREAMING_SNAKE_CASE__		:					List[Any]						=					"pt"
elif is_tf_available():
      SCREAMING_SNAKE_CASE__		:					int						=					"tf"
else:
      SCREAMING_SNAKE_CASE__		:					int						=					"jax"

class       snake_case					(      __A   ,						unittest.TestCase						):
  lowercase_			=     ByTaTokenizer
  lowercase_			=     False




  def 	__lowercase(      self     :	Tuple				)->       Union[str, Any]:




       """simple docstring"""
       super().setUp()
       SCREAMING_SNAKE_CASE__				:				List[str]			=		ByTaTokenizer()
       tokenizer.save_pretrained(self.tmpdirname				)




  @cached_property
  def 	__lowercase(      self     :	Union[str, Any]				)->       Dict:




       """simple docstring"""
       return ByTaTokenizer.from_pretrained('google/byt5-small'				)




  def 	__lowercase(      self     :	List[Any]     , **a_     :	List[Any]				)->       List[Any]:




       """simple docstring"""
       return self.tokenizer_class.from_pretrained(self.tmpdirname     , **UpperCamelCase__				)




  def 	__lowercase(      self     :	Union[str, Any]     , a_     :	Dict     , a_     :	Optional[Any]=False     , a_     :	int=20     , a_     :	Optional[int]=5				)->       Optional[Any]:




       """simple docstring"""
       # XXX The default common tokenizer tests assume that every ID is decodable on its own.
       # This assumption is invalid for ByT5 because single bytes might not be
       # valid utf-8 (byte 128 for instance).
       # Here we're overriding the smallest possible method to provide
       # a clean sequence without making the same assumption.

       SCREAMING_SNAKE_CASE__				:				str			=		[]
       for i in range(len(UpperCamelCase__				)				):
            try:
                 SCREAMING_SNAKE_CASE__				:				int			=		tokenizer.decode([i]     , clean_up_tokenization_spaces=UpperCamelCase__				)
            except UnicodeDecodeError:
                 pass
            toks.append((i, tok)				)

       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		list(filter(lambda a_				: re.match(r'^[ a-zA-Z]+$'     , t[1]				)     , UpperCamelCase__				)				)
       SCREAMING_SNAKE_CASE__				:				Any			=		list(filter(lambda a_				: [t[0]] == tokenizer.encode(t[1]     , add_special_tokens=UpperCamelCase__				)     , UpperCamelCase__				)				)
       if max_length is not None and len(UpperCamelCase__				) > max_length:
            SCREAMING_SNAKE_CASE__				:				Tuple			=		toks[:max_length]
       if min_length is not None and len(UpperCamelCase__				) < min_length and len(UpperCamelCase__				) > 0:
            while len(UpperCamelCase__				) < min_length:
                 SCREAMING_SNAKE_CASE__				:				Dict			=		toks + toks
        # toks_str = [t[1] for t in toks]
       SCREAMING_SNAKE_CASE__				:				Any			=		[t[0] for t in toks]

       # Ensure consistency
       SCREAMING_SNAKE_CASE__				:				Tuple			=		tokenizer.decode(UpperCamelCase__     , clean_up_tokenization_spaces=UpperCamelCase__				)
       if " " not in output_txt and len(UpperCamelCase__				) > 1:
            SCREAMING_SNAKE_CASE__				:				Optional[int]			=		(
                tokenizer.decode([toks_ids[0]]     , clean_up_tokenization_spaces=UpperCamelCase__				)
                + ' '
                + tokenizer.decode(toks_ids[1:]     , clean_up_tokenization_spaces=UpperCamelCase__				)
            )
       if with_prefix_space:
            SCREAMING_SNAKE_CASE__				:				str			=		' ' + output_txt
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		tokenizer.encode(UpperCamelCase__     , add_special_tokens=UpperCamelCase__				)
       return output_txt, output_ids




  def 	__lowercase(      self     :	Any				)->       int:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		self.ta_base_tokenizer
       SCREAMING_SNAKE_CASE__				:				Any			=		tokenizer(['hi</s>', 'I went to the gym</s>', '</s>']				)
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		tokenizer(['hi', 'I went to the gym', '']				)
       self.assertListEqual(batch_with_eos_added['input_ids']     , batch_without_eos_added['input_ids']				)




  def 	__lowercase(      self     :	Optional[int]				)->       Dict:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[str]			=		self.ta_base_tokenizer
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		'Unicode €.'
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		tokenizer(UpperCamelCase__				)
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		[88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
       self.assertEqual(encoded['input_ids']     , UpperCamelCase__				)

       # decoding
       SCREAMING_SNAKE_CASE__				:				int			=		tokenizer.decode(UpperCamelCase__				)
       self.assertEqual(UpperCamelCase__     , 'Unicode €.</s>'				)

       SCREAMING_SNAKE_CASE__				:				List[str]			=		tokenizer('e è é ê ë'				)
       SCREAMING_SNAKE_CASE__				:				Any			=		[104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
       self.assertEqual(encoded['input_ids']     , UpperCamelCase__				)
       # decoding
       SCREAMING_SNAKE_CASE__				:				Tuple			=		tokenizer.decode(UpperCamelCase__				)
       self.assertEqual(UpperCamelCase__     , 'e è é ê ë</s>'				)

       # encode/decode, but with `encode` instead of `__call__`
       self.assertEqual(tokenizer.decode(tokenizer.encode('e è é ê ë'				)				)     , 'e è é ê ë</s>'				)




  def 	__lowercase(      self     :	Dict				)->       Union[str, Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		self.ta_base_tokenizer
       SCREAMING_SNAKE_CASE__				:				int			=		['A long paragraph for summarization.', 'Another paragraph for summarization.']
       # fmt: off
       SCREAMING_SNAKE_CASE__				:				Any			=		[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
       # fmt: on
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		tokenizer(UpperCamelCase__     , padding=UpperCamelCase__     , return_tensors=UpperCamelCase__				)
       self.assertIsInstance(UpperCamelCase__     , UpperCamelCase__				)

       if FRAMEWORK != "jax":
            SCREAMING_SNAKE_CASE__				:				List[str]			=		list(batch.input_ids.numpy()[0]				)
       else:
            SCREAMING_SNAKE_CASE__				:				str			=		list(batch.input_ids.tolist()[0]				)

       self.assertListEqual(UpperCamelCase__     , UpperCamelCase__				)

       self.assertEqual((2, 37)     , batch.input_ids.shape				)
       self.assertEqual((2, 37)     , batch.attention_mask.shape				)




  def 	__lowercase(      self     :	Optional[int]				)->       Any:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		self.ta_base_tokenizer
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		['A long paragraph for summarization.', 'Another paragraph for summarization.']
       SCREAMING_SNAKE_CASE__				:				Any			=		tokenizer(UpperCamelCase__     , padding=UpperCamelCase__     , return_tensors=UpperCamelCase__				)
       # check if input_ids are returned and no decoder_input_ids
       self.assertIn('input_ids'     , UpperCamelCase__				)
       self.assertIn('attention_mask'     , UpperCamelCase__				)
       self.assertNotIn('decoder_input_ids'     , UpperCamelCase__				)
       self.assertNotIn('decoder_attention_mask'     , UpperCamelCase__				)




  def 	__lowercase(      self     :	Tuple				)->       Optional[Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[str]			=		self.ta_base_tokenizer
       SCREAMING_SNAKE_CASE__				:				str			=		[
           'Summary of the text.',
           'Another summary.',
       ]
       SCREAMING_SNAKE_CASE__				:				Dict			=		tokenizer(
           text_target=UpperCamelCase__     , max_length=32     , padding='max_length'     , truncation=UpperCamelCase__     , return_tensors=UpperCamelCase__				)
       self.assertEqual(32     , targets['input_ids'].shape[1]				)




  def 	__lowercase(      self     :	Dict				)->       List[str]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Tuple			=		self.ta_base_tokenizer
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		['A long paragraph for summarization. </s>']
       SCREAMING_SNAKE_CASE__				:				int			=		['Summary of the text. </s>']
       # fmt: off
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
       SCREAMING_SNAKE_CASE__				:				str			=		[86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
       # fmt: on

       SCREAMING_SNAKE_CASE__				:				Dict			=		tokenizer(UpperCamelCase__     , text_target=UpperCamelCase__				)

       self.assertEqual(UpperCamelCase__     , batch['input_ids'][0]				)
       self.assertEqual(UpperCamelCase__     , batch['labels'][0]				)




  def 	__lowercase(      self     :	Optional[Any]				)->       Optional[int]:




       """simple docstring"""
       # safety check on max_len default value so we are sure the test works
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		self.get_tokenizers()
       for tokenizer in tokenizers:
            with self.subTest(F'''{tokenizer.__class__.__name__}'''				):
                 self.assertNotEqual(tokenizer.model_max_length     , 42				)

        # Now let's start the test
       SCREAMING_SNAKE_CASE__				:				List[str]			=		self.get_tokenizers()
       for tokenizer in tokenizers:
            with self.subTest(F'''{tokenizer.__class__.__name__}'''				):
                 # Isolate this from the other tests because we save additional tokens/etc
                 SCREAMING_SNAKE_CASE__				:				Tuple			=		tempfile.mkdtemp()

                 SCREAMING_SNAKE_CASE__				:				Optional[int]			=		' He is very happy, UNwant\u00E9d,running'
                 SCREAMING_SNAKE_CASE__				:				int			=		tokenizer.encode(UpperCamelCase__     , add_special_tokens=UpperCamelCase__				)
                 tokenizer.save_pretrained(UpperCamelCase__				)

                 SCREAMING_SNAKE_CASE__				:				int			=		tokenizer.__class__.from_pretrained(UpperCamelCase__				)
                 SCREAMING_SNAKE_CASE__				:				Dict			=		after_tokenizer.encode(UpperCamelCase__     , add_special_tokens=UpperCamelCase__				)
                 self.assertListEqual(UpperCamelCase__     , UpperCamelCase__				)

                 shutil.rmtree(UpperCamelCase__				)

       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		self.get_tokenizers(model_max_length=42				)
       for tokenizer in tokenizers:
            with self.subTest(F'''{tokenizer.__class__.__name__}'''				):
                 # Isolate this from the other tests because we save additional tokens/etc
                 SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		tempfile.mkdtemp()

                 SCREAMING_SNAKE_CASE__				:				Dict			=		' He is very happy, UNwant\u00E9d,running'
                 tokenizer.add_tokens(['bim', 'bambam']				)
                 SCREAMING_SNAKE_CASE__				:				List[str]			=		tokenizer.additional_special_tokens
                 additional_special_tokens.append('new_additional_special_token'				)
                 tokenizer.add_special_tokens({'additional_special_tokens': additional_special_tokens}				)
                 SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		tokenizer.encode(UpperCamelCase__     , add_special_tokens=UpperCamelCase__				)
                 tokenizer.save_pretrained(UpperCamelCase__				)

                 SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		tokenizer.__class__.from_pretrained(UpperCamelCase__				)
                 SCREAMING_SNAKE_CASE__				:				int			=		after_tokenizer.encode(UpperCamelCase__     , add_special_tokens=UpperCamelCase__				)
                 self.assertListEqual(UpperCamelCase__     , UpperCamelCase__				)
                 self.assertIn('new_additional_special_token'     , after_tokenizer.additional_special_tokens				)
                 self.assertEqual(after_tokenizer.model_max_length     , 42				)

                 SCREAMING_SNAKE_CASE__				:				Any			=		tokenizer.__class__.from_pretrained(UpperCamelCase__     , model_max_length=43				)
                 self.assertEqual(tokenizer.model_max_length     , 43				)

                 shutil.rmtree(UpperCamelCase__				)




  def 	__lowercase(      self     :	Any				)->       Optional[int]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Any			=		[]
       if self.test_slow_tokenizer:
            tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())				)

       if self.test_rust_tokenizer:
            tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())				)

       for tokenizer_class, tokenizer_utils in tokenizer_list:
            with tempfile.TemporaryDirectory() as tmp_dir:
                 tokenizer_utils.save_pretrained(UpperCamelCase__				)

                 with open(os.path.join(UpperCamelCase__     , 'special_tokens_map.json'				)     , encoding='utf-8'				) as json_file:
                      SCREAMING_SNAKE_CASE__				:				Any			=		json.load(UpperCamelCase__				)

                 with open(os.path.join(UpperCamelCase__     , 'tokenizer_config.json'				)     , encoding='utf-8'				) as json_file:
                      SCREAMING_SNAKE_CASE__				:				Optional[int]			=		json.load(UpperCamelCase__				)

                 SCREAMING_SNAKE_CASE__				:				List[str]			=		[F'''<extra_id_{i}>''' for i in range(125				)]

                 SCREAMING_SNAKE_CASE__				:				int			=		added_tokens_extra_ids + [
                     'an_additional_special_token'
                 ]
                 SCREAMING_SNAKE_CASE__				:				List[Any]			=		added_tokens_extra_ids + [
                     'an_additional_special_token'
                 ]

                 with open(os.path.join(UpperCamelCase__     , 'special_tokens_map.json'				)     , 'w'     , encoding='utf-8'				) as outfile:
                      json.dump(UpperCamelCase__     , UpperCamelCase__				)
                 with open(os.path.join(UpperCamelCase__     , 'tokenizer_config.json'				)     , 'w'     , encoding='utf-8'				) as outfile:
                      json.dump(UpperCamelCase__     , UpperCamelCase__				)

                 # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
                 # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
                 # "special_tokens_map.json" files
                 SCREAMING_SNAKE_CASE__				:				Dict			=		tokenizer_class.from_pretrained(
                     UpperCamelCase__     , )
                 self.assertIn(
                     'an_additional_special_token'     , tokenizer_without_change_in_init.additional_special_tokens				)
                 # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
                 self.assertEqual(
                     ['an_additional_special_token']     , tokenizer_without_change_in_init.convert_ids_to_tokens(
                         tokenizer_without_change_in_init.convert_tokens_to_ids(['an_additional_special_token']				)				)     , )

                 # Now we test that we can change the value of additional_special_tokens in the from_pretrained
                 SCREAMING_SNAKE_CASE__				:				Tuple			=		added_tokens_extra_ids + [AddedToken('a_new_additional_special_token'     , lstrip=UpperCamelCase__				)]
                 SCREAMING_SNAKE_CASE__				:				Optional[int]			=		tokenizer_class.from_pretrained(
                     UpperCamelCase__     , additional_special_tokens=UpperCamelCase__     , )

                 self.assertIn('a_new_additional_special_token'     , tokenizer.additional_special_tokens				)
                 self.assertEqual(
                     ['a_new_additional_special_token']     , tokenizer.convert_ids_to_tokens(
                         tokenizer.convert_tokens_to_ids(['a_new_additional_special_token']				)				)     , )




  def 	__lowercase(      self     :	List[Any]				)->       Optional[int]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		[]
       if self.test_slow_tokenizer:
            tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())				)

       if self.test_rust_tokenizer:
            tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())				)

       for tokenizer_class, tokenizer_utils in tokenizer_list:
            with tempfile.TemporaryDirectory() as tmp_dir:
                 tokenizer_utils.save_pretrained(UpperCamelCase__				)

                 SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		tokenizer_class.from_pretrained(UpperCamelCase__				)

                 self.assertTrue(tokenizer.decode([255]				) == ''				)




  def 	__lowercase(      self     :	List[str]				)->       Union[str, Any]:




       """simple docstring"""
       pass




  def 	__lowercase(      self     :	Dict				)->       str:




       """simple docstring"""
       pass




  def 	__lowercase(      self     :	List[Any]				)->       Tuple:




       """simple docstring"""
       pass




  def 	__lowercase(      self     :	List[str]				)->       int:




       """simple docstring"""
       pass




  def 	__lowercase(      self     :	Tuple				)->       List[str]:




       """simple docstring"""
       # The default common tokenizer tests uses invalid tokens for ByT5 that can only accept one-character strings
       # and special added tokens as tokens
       SCREAMING_SNAKE_CASE__				:				int			=		self.get_tokenizers(fast=UpperCamelCase__     , do_lower_case=UpperCamelCase__				)
       for tokenizer in tokenizers:
            with self.subTest(F'''{tokenizer.__class__.__name__}'''				):
                 SCREAMING_SNAKE_CASE__				:				Optional[int]			=		['t', 'h', 'i', 's', ' ', 'i', 's', ' ', 'a', ' ', 't', 'e', 'x', 't', '</s>']
                 SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		tokenizer.convert_tokens_to_string(UpperCamelCase__				)

                 self.assertIsInstance(UpperCamelCase__     , UpperCamelCase__				)




  def 	__lowercase(      self     :	List[Any]				)->       Optional[Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				str			=		self.get_tokenizers()
       for tokenizer in tokenizers:
            with self.subTest(F'''{tokenizer.__class__.__name__}'''				):
                 SCREAMING_SNAKE_CASE__				:				Dict			=		[
                     'bos_token',
                     'eos_token',
                     'unk_token',
                     'sep_token',
                     'pad_token',
                     'cls_token',
                     'mask_token',
                 ]

                 SCREAMING_SNAKE_CASE__				:				List[str]			=		0
                 SCREAMING_SNAKE_CASE__				:				Dict			=		tokenizer.convert_ids_to_tokens(
                     UpperCamelCase__     , skip_special_tokens=UpperCamelCase__				)

                 for attr in attributes_list:
                      setattr(UpperCamelCase__     , attr + '_id'     , UpperCamelCase__				)
                      self.assertEqual(getattr(UpperCamelCase__     , UpperCamelCase__				)     , UpperCamelCase__				)
                      self.assertEqual(getattr(UpperCamelCase__     , attr + '_id'				)     , UpperCamelCase__				)

                      setattr(UpperCamelCase__     , attr + '_id'     , UpperCamelCase__				)
                      self.assertEqual(getattr(UpperCamelCase__     , UpperCamelCase__				)     , UpperCamelCase__				)
                      self.assertEqual(getattr(UpperCamelCase__     , attr + '_id'				)     , UpperCamelCase__				)

                 setattr(UpperCamelCase__     , 'additional_special_tokens_ids'     , []				)
                 self.assertListEqual(getattr(UpperCamelCase__     , 'additional_special_tokens'				)     , []				)
                 self.assertListEqual(getattr(UpperCamelCase__     , 'additional_special_tokens_ids'				)     , []				)

                 setattr(UpperCamelCase__     , 'additional_special_tokens_ids'     , [token_id_to_test_setters]				)
                 self.assertListEqual(getattr(UpperCamelCase__     , 'additional_special_tokens'				)     , [token_to_test_setters]				)
                 self.assertListEqual(getattr(UpperCamelCase__     , 'additional_special_tokens_ids'				)     , [token_id_to_test_setters]				)




import math
import sys







def     _a				(      lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		''
     try:
          with open(lowercase__     ,  'rb' ) as binary_file:
               SCREAMING_SNAKE_CASE__				:				Tuple			=		binary_file.read()
          for dat in data:
               SCREAMING_SNAKE_CASE__				:				Tuple			=		f'''{dat:08b}'''
               result += curr_byte
          return result
     except OSError:
          print('File not accessible' )
          sys.exit()







def     _a				(      lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				List[str]			=		{'0': '0', '1': '1'}
     SCREAMING_SNAKE_CASE__			,							SCREAMING_SNAKE_CASE__				:				int			=		'', ''
     SCREAMING_SNAKE_CASE__				:				Tuple			=		len(lowercase__ )

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

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

          if math.loga(lowercase__ ).is_integer():
               SCREAMING_SNAKE_CASE__				:				List[str]			=		{}
               for curr_key in list(lowercase__ ):
                    SCREAMING_SNAKE_CASE__				:				Optional[int]			=		lexicon.pop(lowercase__ )
               SCREAMING_SNAKE_CASE__				:				Optional[int]			=		new_lex

          SCREAMING_SNAKE_CASE__				:				Any			=		last_match_id + '1'
          index += 1
          SCREAMING_SNAKE_CASE__				:				Tuple			=		''
     return result







def     _a				(      lowercase__  :			str     ,  lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				str			=		8
     try:
          with open(lowercase__     ,  'wb' ) as opened_file:
               SCREAMING_SNAKE_CASE__				:				Dict			=		[
                   to_write[i : i + byte_length]
                   for i in range(0     ,  len(lowercase__ )     ,  lowercase__ )
               ]

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







def     _a				(      lowercase__  :			str ):







     '''simple docstring'''


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

     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		data_bits[counter:]
     SCREAMING_SNAKE_CASE__				:				int			=		data_bits[counter + 1 :]
     return data_bits







def     _a				(      lowercase__  :			str     ,  lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		read_file_binary(lowercase__ )
     SCREAMING_SNAKE_CASE__				:				Dict			=		remove_prefix(lowercase__ )
     SCREAMING_SNAKE_CASE__				:				Tuple			=		decompress_data(lowercase__ )
     write_file_binary(lowercase__     ,  lowercase__ )


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



