


'''simple docstring'''

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						(lowercase_  ,     unittest.TestCase     ):





      '''simple docstring'''






      lowerCAmelCase__					:     str  					=							None
      lowerCAmelCase__					:     Optional[int]  					=							BloomTokenizerFast
      lowerCAmelCase__					:     Tuple  					=							BloomTokenizerFast
      lowerCAmelCase__					:     Dict  					=							True
      lowerCAmelCase__					:     List[str]  					=							False
      lowerCAmelCase__					:     Union[str, Any]  					=							"""tokenizer_file"""
      lowerCAmelCase__					:     Dict  					=							{"""bos_token""": """<s>""", """eos_token""": """</s>""", """unk_token""": """<unk>""", """pad_token""": """<pad>"""}



      def       UpperCamelCase__		(self    :    int ):

             '''simple docstring'''







             super().setUp()
             lowercase__      			= BloomTokenizerFast.from_pretrained('''bigscience/tokenizer''' )
             tokenizer.save_pretrained(self.tmpdirname )



      def       UpperCamelCase__		(self    :    str   ,						**UpperCamelCase    :    int ):

             '''simple docstring'''







             kwargs.update(self.special_tokens_map )
             return BloomTokenizerFast.from_pretrained(self.tmpdirname   ,						**UpperCamelCase )



      def       UpperCamelCase__		(self    :    str ):

             '''simple docstring'''







             lowercase__      			= self.get_rust_tokenizer()

             lowercase__      			= ['''The quick brown fox</s>''', '''jumps over the lazy dog</s>''']
             lowercase__      			= [[2175, 23714, 73173, 144252, 2], [77, 132619, 3478, 368, 109586, 35433, 2]]

             lowercase__      			= tokenizer.batch_encode_plus(UpperCamelCase )['''input_ids''']
             self.assertListEqual(UpperCamelCase   ,						UpperCamelCase )

             lowercase__      			= tokenizer.batch_decode(UpperCamelCase )
             self.assertListEqual(UpperCamelCase   ,						UpperCamelCase )



      def       UpperCamelCase__		(self    :    Union[str, Any]   ,						UpperCamelCase    :    Optional[Any]=6 ):

             '''simple docstring'''







             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                    with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})" ):
                           lowercase__      			= self.rust_tokenizer_class.from_pretrained(UpperCamelCase   ,						**UpperCamelCase )
                           # tokenizer_r.pad_token = None # Hotfixing padding = None
                           # Simple input
                           lowercase__      			= '''This is a simple input'''
                           lowercase__      			= ['''This is a simple input 1''', '''This is a simple input 2''']
                           lowercase__      			= ('''This is a simple input''', '''This is a pair''')
                           lowercase__      			= [
                               ('''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(UpperCamelCase   ,						max_length=UpperCamelCase )
                                  tokenizer_r.encode_plus(UpperCamelCase   ,						max_length=UpperCamelCase )

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

                           lowercase__      			= None  # Hotfixing padding = None
                           self.assertRaises(UpperCamelCase   ,						tokenizer_r.encode   ,						UpperCamelCase   ,						max_length=UpperCamelCase   ,						padding='''max_length''' )

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

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

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

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

                           # Pair input
                           self.assertRaises(
                               UpperCamelCase   ,						tokenizer_r.batch_encode_plus   ,						UpperCamelCase   ,						max_length=UpperCamelCase   ,						padding='''max_length'''   ,						)



      def       UpperCamelCase__		(self    :    str ):

             '''simple docstring'''







             lowercase__      			= self.get_rust_tokenizer()
             lowercase__      			= load_dataset('''xnli'''   ,						'''all_languages'''   ,						split='''test'''   ,						streaming=UpperCamelCase )

             lowercase__      			= next(iter(UpperCamelCase ) )['''premise''']  # pick up one data
             lowercase__      			= list(sample_data.values() )

             lowercase__      			= list(map(tokenizer.encode   ,						UpperCamelCase ) )
             lowercase__      			= [tokenizer.decode(UpperCamelCase   ,						clean_up_tokenization_spaces=UpperCamelCase ) for x in output_tokens]
             self.assertListEqual(UpperCamelCase   ,						UpperCamelCase )






      def       UpperCamelCase__		(self    :    Optional[Any] ):

             '''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 )











"""simple docstring"""
import math
import sys






def 					A__				(			UpperCamelCase       ):
							A		=  ""
							try:
														with open(UpperCamelCase					,  "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__				(			UpperCamelCase       ):
							A		=  {"0": "0", "1": "1"}
							A,	A		=  "", ""
							A		=  len(UpperCamelCase       )

							for i in range(len(UpperCamelCase       )       ):
														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(UpperCamelCase       ).is_integer():
																					A		=  {}
																					for curr_key in list(UpperCamelCase       ):
																												A		=  lexicon.pop(UpperCamelCase       )
																					A		=  new_lex

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






def 					A__				(			UpperCamelCase					,  UpperCamelCase       ):
							A		=  8
							try:
														with open(UpperCamelCase					,  "wb"       ) as opened_file:
																					A		=  [
																					    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 					A__				(			UpperCamelCase       ):
							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__				(			UpperCamelCase					,  UpperCamelCase       ):
							A		=  read_file_binary(UpperCamelCase       )
							A		=  remove_prefix(UpperCamelCase       )
							A		=  decompress_data(UpperCamelCase       )
							write_file_binary(UpperCamelCase					,  UpperCamelCase       )


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


