



"""simple docstring"""


import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing
class 			_a (					lowerCAmelCase):
			"""simple docstring"""



			def __init__(		self     :    Optional[Any]				,   __UpperCamelCase     :    str = "▁"				,   __UpperCamelCase     :    bool = True				,   __UpperCamelCase     :    Union[str, AddedToken] = "<unk>"				,   __UpperCamelCase     :    Union[str, AddedToken] = "</s>"				,   __UpperCamelCase     :    Union[str, AddedToken] = "<pad>"				,   )->Any:
							_UpperCAmelCase					=    {
							    '''pad''': {'''id''': 0, '''token''': pad_token},
							    '''eos''': {'''id''': 1, '''token''': eos_token},
							    '''unk''': {'''id''': 2, '''token''': unk_token},
							}

							_UpperCAmelCase					=    [None] * len(self.special_tokens   )
							for token_dict in self.special_tokens.values():
											_UpperCAmelCase					=    token_dict['''token''']

							_UpperCAmelCase					=    Tokenizer(Unigram()   )

							_UpperCAmelCase					=    normalizers.Sequence(
							    [
							        normalizers.Nmt(),
							        normalizers.NFKC(),
							        normalizers.Replace(Regex(''' {2,}'''   )				,   ''' '''   ),
							        normalizers.Lowercase(),
							    ]   )
							_UpperCAmelCase					=    pre_tokenizers.Sequence(
							    [
							        pre_tokenizers.Metaspace(replacement=__UpperCamelCase				,   add_prefix_space=__UpperCamelCase   ),
							        pre_tokenizers.Digits(individual_digits=__UpperCamelCase   ),
							        pre_tokenizers.Punctuation(),
							    ]   )
							_UpperCAmelCase					=    decoders.Metaspace(replacement=__UpperCamelCase				,   add_prefix_space=__UpperCamelCase   )

							_UpperCAmelCase					=    TemplateProcessing(
							    single=F'$A {self.special_tokens["eos"]["token"]}'				,   special_tokens=[(self.special_tokens['''eos''']['''token'''], self.special_tokens['''eos''']['''id'''])]				,   )

							_UpperCAmelCase					=    {
							    '''model''': '''SentencePieceUnigram''',
							    '''replacement''': replacement,
							    '''add_prefix_space''': add_prefix_space,
							}

							super().__init__(__UpperCamelCase				,   __UpperCamelCase   )



			def  lowercase__						(		self     :    Union[str, Any]				,   __UpperCamelCase     :    Union[str, List[str]]				,   __UpperCamelCase     :    int = 8_0_0_0				,   __UpperCamelCase     :    bool = True				,   )->Any:
							_UpperCAmelCase					=    trainers.UnigramTrainer(
							    vocab_size=__UpperCamelCase				,   special_tokens=self.special_tokens_list				,   show_progress=__UpperCamelCase				,   )

							if isinstance(__UpperCamelCase				,   __UpperCamelCase   ):
											_UpperCAmelCase					=    [files]
							self._tokenizer.train(__UpperCamelCase				,   trainer=__UpperCamelCase   )

							self.add_unk_id()



			def  lowercase__						(		self     :    List[Any]				,   __UpperCamelCase     :    Union[Iterator[str], Iterator[Iterator[str]]]				,   __UpperCamelCase     :    int = 8_0_0_0				,   __UpperCamelCase     :    bool = True				,   )->Union[str, Any]:
							_UpperCAmelCase					=    trainers.UnigramTrainer(
							    vocab_size=__UpperCamelCase				,   special_tokens=self.special_tokens_list				,   show_progress=__UpperCamelCase				,   )

							self._tokenizer.train_from_iterator(__UpperCamelCase				,   trainer=__UpperCamelCase   )

							self.add_unk_id()



			def  lowercase__						(		self     :    Optional[Any]   )->Optional[Any]:
							_UpperCAmelCase					=    json.loads(self._tokenizer.to_str()   )

							_UpperCAmelCase					=    self.special_tokens['''unk''']['''id''']

							_UpperCAmelCase					=    Tokenizer.from_str(json.dumps(__UpperCamelCase   )   )








"""simple docstring"""


def  lowercase	(      _SCREAMING_SNAKE_CASE   :						int					,     _SCREAMING_SNAKE_CASE   :						int				):






				'''simple docstring'''



				if a < 0 or b < 0:
								raise ValueError('''the value of both inputs must be positive'''				)

				_UpperCAmelCase					=    str(bin(_SCREAMING_SNAKE_CASE				)				)[2:]  # remove the leading "0b"
				_UpperCAmelCase					=    str(bin(_SCREAMING_SNAKE_CASE				)				)[2:]  # remove the leading "0b"

				_UpperCAmelCase					=    max(len(_SCREAMING_SNAKE_CASE				)					,     len(_SCREAMING_SNAKE_CASE				)				)

				return "0b" + "".join(
				    str(int(char_a == '''1''' and char_b == '''1'''				)				)
				    for char_a, char_b in zip(a_binary.zfill(_SCREAMING_SNAKE_CASE				)					,     b_binary.zfill(_SCREAMING_SNAKE_CASE				)				)				)


if __name__ == "__main__":
					import doctest

					doctest.testmod()



