
'''simple docstring'''
import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
						from .tokenization_reformer import ReformerTokenizer
else:
						lowercase__		    =	None


lowercase__		    =	logging.get_logger(__name__)


lowercase__		    =	"▁"

lowercase__		    =	{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

lowercase__		    =	{
    "vocab_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"
        )
    },
    "tokenizer_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json"
        )
    },
}

lowercase__		    =	{
    "google/reformer-crime-and-punishment": 5_2_4_2_8_8,
}






class      snake_case__    (	__SCREAMING_SNAKE_CASE ):







		"""simple docstring"""

		lowerCamelCase							=		VOCAB_FILES_NAMES
		lowerCamelCase							=		PRETRAINED_VOCAB_FILES_MAP
		lowerCamelCase							=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCamelCase							=		["""input_ids""", """attention_mask"""]
		lowerCamelCase							=		ReformerTokenizer



		def __init__(	self							:       Tuple   ,     UpperCamelCase__							:       Optional[Any]=None   ,     UpperCamelCase__							:       Tuple=None   ,     UpperCamelCase__							:       Optional[Any]="</s>"   ,     UpperCamelCase__							:       Dict="<unk>"   ,     UpperCamelCase__							:       Any=[]   ,     **UpperCamelCase__							:       Optional[Any]   ,     )		->       Any:






				"""simple docstring"""







				super().__init__(
				    UpperCamelCase__   ,     tokenizer_file=UpperCamelCase__   ,     eos_token=UpperCamelCase__   ,     unk_token=UpperCamelCase__   ,     additional_special_tokens=UpperCamelCase__   ,     **UpperCamelCase__   ,     )

				snake_case   :    Dict			       =		vocab_file
				snake_case   :    int			       =		False if not self.vocab_file else True



		def 	lowerCAmelCase							(	self							:       Tuple   ,     UpperCamelCase__							:       str   ,     UpperCamelCase__							:       Optional[str] = None	)		->       Tuple[str]:






				"""simple docstring"""







				if not self.can_save_slow_tokenizer:
						raise ValueError(
						    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
						    '''tokenizer.'''	)

				if not os.path.isdir(UpperCamelCase__	):
						logger.error(f'Vocabulary path ({save_directory}) should be a directory'	)
						return
				snake_case   :    Any			       =		os.path.join(
				    UpperCamelCase__   ,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)

				if os.path.abspath(self.vocab_file	) != os.path.abspath(UpperCamelCase__	):
						copyfile(self.vocab_file   ,     UpperCamelCase__	)

				return (out_vocab_file,)



from dataclasses import dataclass
from typing import Callable, Optional

import datasets


@dataclass
class 						a__							(   datasets.BuilderConfig		):
			A__				:   Optional[Callable]								=			None
			A__				:   Optional[dict]								=			None
			A__				:   Optional[datasets.Features]								=			None



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Any:
								assert self.generator is not None, "generator must be specified"

								if self.gen_kwargs is None:
													__a							=   {}






class 						a__							(   datasets.GeneratorBasedBuilder		):
			A__				:   List[Any]								=			GeneratorConfig



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Tuple:
								return datasets.DatasetInfo(features=self.config.features    )



			def __SCREAMING_SNAKE_CASE							(						self      ,						UpperCAmelCase    ) ->    Optional[int]:
								return [datasets.SplitGenerator(name=datasets.Split.TRAIN      ,						gen_kwargs=self.config.gen_kwargs    )]







			def __SCREAMING_SNAKE_CASE							(						self      ,						**UpperCAmelCase    ) ->    Tuple:
								for idx, ex in enumerate(self.config.generator(**UpperCAmelCase    )    ):
													yield idx, ex




