


import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class _lowerCamelCase(						_a, unittest.TestCase   ):
       lowercase_ :	Tuple     =			None
       lowercase_ :	Tuple     =			BloomTokenizerFast
       lowercase_ :	Optional[int]     =			BloomTokenizerFast
       lowercase_ :	int     =			True
       lowercase_ :	str     =			False
       lowercase_ :	Dict     =			"""tokenizer_file"""
       lowercase_ :	int     =			{"""bos_token""": """<s>""", """eos_token""": """</s>""", """unk_token""": """<unk>""", """pad_token""": """<pad>"""}
       def 			UpperCamelCase     (					self)       ->   Tuple:




           """simple docstring"""

           super().setUp()
           _lowercase       :							str      		=		BloomTokenizerFast.from_pretrained('bigscience/tokenizer')
           tokenizer.save_pretrained(self.tmpdirname)
       def 			UpperCamelCase     (					self,      **lowerCamelCase)       ->   List[Any]:




           """simple docstring"""

           kwargs.update(self.special_tokens_map)
           return BloomTokenizerFast.from_pretrained(self.tmpdirname,      **lowerCamelCase)
       def 			UpperCamelCase     (					self)       ->   Any:




           """simple docstring"""

           _lowercase       :							List[Any]      		=		self.get_rust_tokenizer()

           _lowercase       :							Any      		=		['The quick brown fox</s>', 'jumps over the lazy dog</s>']
           _lowercase       :							List[str]      		=		[[21_75, 2_37_14, 7_31_73, 14_42_52, 2], [77, 13_26_19, 34_78, 3_68, 10_95_86, 3_54_33, 2]]

           _lowercase       :							List[str]      		=		tokenizer.batch_encode_plus(lowerCamelCase)['input_ids']
           self.assertListEqual(lowerCamelCase,      lowerCamelCase)

           _lowercase       :							Dict      		=		tokenizer.batch_decode(lowerCamelCase)
           self.assertListEqual(lowerCamelCase,      lowerCamelCase)
       def 			UpperCamelCase     (					self,      lowerCamelCase=6)       ->   List[str]:




           """simple docstring"""

           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''):
                   _lowercase       :							Optional[int]      		=		self.rust_tokenizer_class.from_pretrained(lowerCamelCase,      **lowerCamelCase)
                   # tokenizer_r.pad_token = None # Hotfixing padding = None
                   # Simple input
                   _lowercase       :							Any      		=		'This is a simple input'
                   _lowercase       :							Union[str, Any]      		=		['This is a simple input 1', 'This is a simple input 2']
                   _lowercase       :							Optional[int]      		=		('This is a simple input', 'This is a pair')
                   _lowercase       :							Tuple      		=		[
                       ('This is a simple input 1', 'This is a simple input 2'),
                       ('This is a simple pair 1', 'This is a simple pair 2'),
                   ]

                   # Simple input tests
                   try:
                       tokenizer_r.encode(lowerCamelCase,      max_length=lowerCamelCase)
                       tokenizer_r.encode_plus(lowerCamelCase,      max_length=lowerCamelCase)

                       tokenizer_r.batch_encode_plus(lowerCamelCase,      max_length=lowerCamelCase)
                       tokenizer_r.encode(lowerCamelCase,      max_length=lowerCamelCase)
                       tokenizer_r.batch_encode_plus(lowerCamelCase,      max_length=lowerCamelCase)
                   except ValueError:
                       self.fail('Bloom Tokenizer should be able to deal with padding')

                   _lowercase       :							Union[str, Any]      		=		None  # Hotfixing padding = None
                   self.assertRaises(lowerCamelCase,      tokenizer_r.encode,      lowerCamelCase,      max_length=lowerCamelCase,      padding='max_length')

                   # Simple input
                   self.assertRaises(lowerCamelCase,      tokenizer_r.encode_plus,      lowerCamelCase,      max_length=lowerCamelCase,      padding='max_length')

                   # Simple input
                   self.assertRaises(
                       lowerCamelCase,      tokenizer_r.batch_encode_plus,      lowerCamelCase,      max_length=lowerCamelCase,      padding='max_length',      )

                   # Pair input
                   self.assertRaises(lowerCamelCase,      tokenizer_r.encode,      lowerCamelCase,      max_length=lowerCamelCase,      padding='max_length')

                   # Pair input
                   self.assertRaises(lowerCamelCase,      tokenizer_r.encode_plus,      lowerCamelCase,      max_length=lowerCamelCase,      padding='max_length')

                   # Pair input
                   self.assertRaises(
                       lowerCamelCase,      tokenizer_r.batch_encode_plus,      lowerCamelCase,      max_length=lowerCamelCase,      padding='max_length',      )
       def 			UpperCamelCase     (					self)       ->   Tuple:




           """simple docstring"""

           _lowercase       :							str      		=		self.get_rust_tokenizer()
           _lowercase       :							Optional[int]      		=		load_dataset('xnli',      'all_languages',      split='test',      streaming=lowerCamelCase)

           _lowercase       :							Optional[Any]      		=		next(iter(lowerCamelCase))['premise']  # pick up one data
           _lowercase       :							Optional[int]      		=		list(sample_data.values())

           _lowercase       :							List[str]      		=		list(map(tokenizer.encode,      lowerCamelCase))
           _lowercase       :							Dict      		=		[tokenizer.decode(lowerCamelCase,      clean_up_tokenization_spaces=lowerCamelCase) for x in output_tokens]
           self.assertListEqual(lowerCamelCase,      lowerCamelCase)




       def 			UpperCamelCase     (					self)       ->   List[str]:




           """simple docstring"""

           self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map),      1)
           self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values())[0]),      1)






import math
import os
import sys

def       lowercase_		(		_A			:    str						):

      """simple docstring"""




      lowerCamelCase__		:				str    =  ""
      try:
            with open(_A    ,					"rb"						) as binary_file:
                  lowerCamelCase__		:				Union[str, Any]    =  binary_file.read()
            for dat in data:
                  lowerCamelCase__		:				Optional[Any]    =  F"{dat:08b}"
                  result += curr_byte
            return result
      except OSError:
            print("File not accessible"						)
            sys.exit()

def       lowercase_		(		_A			:    dict[str, str]    ,					_A			:    str    ,					_A			:    int    ,					_A			:    str						):

      """simple docstring"""




      lexicon.pop(_A						)
      lowerCamelCase__		:				List[Any]    =  last_match_id

      if math.loga(_A						).is_integer():
            for curr_key in lexicon:
                  lowerCamelCase__		:				Any    =  "0" + lexicon[curr_key]

      lowerCamelCase__		:				Tuple    =  bin(_A						)[2:]

def       lowercase_		(		_A			:    str						):

      """simple docstring"""




      lowerCamelCase__		:				Tuple    =  {"0": "0", "1": "1"}
      lowerCamelCase__    ,   lowerCamelCase__		:				int    =  "", ""
      lowerCamelCase__		:				int    =  len(_A						)

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

            lowerCamelCase__		:				Optional[Any]    =  lexicon[curr_string]
            result += last_match_id
            add_key_to_lexicon(_A    ,					_A    ,					_A    ,					_A						)
            index += 1
            lowerCamelCase__		:				Dict    =  ""

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

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

      return result

def       lowercase_		(		_A			:    str    ,					_A			:    str						):

      """simple docstring"""




      lowerCamelCase__		:				List[str]    =  os.path.getsize(_A						)
      lowerCamelCase__		:				Dict    =  bin(_A						)[2:]
      lowerCamelCase__		:				List[Any]    =  len(_A						)

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

def       lowercase_		(		_A			:    str    ,					_A			:    str						):

      """simple docstring"""




      lowerCamelCase__		:				Dict    =  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       lowercase_		(		_A			:    str    ,					_A			:    str						):

      """simple docstring"""




      lowerCamelCase__		:				Dict    =  read_file_binary(_A						)
      lowerCamelCase__		:				List[Any]    =  compress_data(_A						)
      lowerCamelCase__		:				str    =  add_file_length(_A    ,					_A						)
      write_file_binary(_A    ,					_A						)


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


