





"""simple docstring"""




from arguments import TokenizerTrainingArguments
from datasets import load_dataset
from tqdm import tqdm

from transformers import AutoTokenizer, HfArgumentParser
from transformers.models.gpta.tokenization_gpta import bytes_to_unicode





def 			a_							(				_lowercase=10  ):

						for _ in tqdm(range(0			,		args.n_examples			,		__UpperCAmelCase  )  ):
												yield [next(__UpperCAmelCase  )[args.text_column] for _ in range(__UpperCAmelCase  )]


# Configuration
UpperCamelCase_	 =HfArgumentParser(TokenizerTrainingArguments)
UpperCamelCase_	 =parser.parse_args()

# Base tokenizer
UpperCamelCase_	 =AutoTokenizer.from_pretrained(args.base_tokenizer)
UpperCamelCase_	 =list(bytes_to_unicode().values())

# Load dataset
UpperCamelCase_	 =load_dataset(args.dataset_name, split="""train""", streaming=True)
UpperCamelCase_	 =iter(dataset)


# Training and saving
UpperCamelCase_	 =tokenizer.train_new_from_iterator(
    batch_iterator(), vocab_size=args.vocab_size, initial_alphabet=base_vocab
)






new_tokenizer.save_pretrained(args.tokenizer_name, push_to_hub=args.push_to_hub)




from hashlib import mda, shaaaa

snake_case__						      =			(shaaaa, mda)



class 			UpperCamelCase					:

     '''simple docstring'''

     def __init__(       self					,					A_ = 8    )			->					None:






           """simple docstring"""
           _lowerCamelCase           =					0b0
           _lowerCamelCase           =					size



     def 		UpperCamelCase_    (       self					,					A_    )			->					None:






           """simple docstring"""
           _lowerCamelCase           =					self.hash_(A_    )
           self.bitarray |= h



     def 		UpperCamelCase_    (       self					,					A_    )			->					bool:






           """simple docstring"""
           _lowerCamelCase           =					self.hash_(A_    )
           return (h & self.bitarray) == h



     def __contains__(       self					,					A_    )			->					bool:






           """simple docstring"""
           return self.exists(A_    )



     def 		UpperCamelCase_    (       self					,					A_    )			->					str:






           """simple docstring"""
           _lowerCamelCase           =					bin(A_    )[2:]
           return res.zfill(self.size    )



     @property
     def 		UpperCamelCase_    (       self    )			->					str:






           """simple docstring"""
           return self.format_bin(self.bitarray    )



     def 		UpperCamelCase_    (       self					,					A_    )			->					int:






           """simple docstring"""
           _lowerCamelCase           =					0b0
           for func in HASH_FUNCTIONS:
                 _lowerCamelCase           =					(
                     int.from_bytes(func(value.encode()    ).digest()					,					'''little'''    ) % self.size
                 )
                 res |= 2**position
           return res



     def 		UpperCamelCase_    (       self					,					A_    )			->					str:






           """simple docstring"""
           return self.format_bin(self.hash_(A_    )    )





     @property
     def 		UpperCamelCase_    (       self    )			->					float:






           """simple docstring"""
           _lowerCamelCase           =					bin(self.bitarray    ).count('''1'''    )
           return (n_ones / self.size) ** len(A_    )