import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


A_      =      logging.get_logger(__name__)


A_      =      "▁"

A_      =      {"vocab_file": "spiece.model"}

A_      =      {
    "vocab_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"
        )
    }
}

A_      =      {
    "google/reformer-crime-and-punishment": 524288,
}






class      __lowercase					(    _A    ):
						lowercase					 =     VOCAB_FILES_NAMES
						lowercase					 =     PRETRAINED_VOCAB_FILES_MAP
						lowercase					 =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowercase					 =     ['input_ids', 'attention_mask']

						def __init__(	self				:      Any							,							__lowerCamelCase				:      Dict							,							__lowerCamelCase				:      Union[str, Any]="</s>"							,							__lowerCamelCase				:      List[Any]="<unk>"							,							__lowerCamelCase				:      Optional[Any]=[]							,							__lowerCamelCase				:      Optional[Dict[str, Any]] = None							,							**__lowerCamelCase				:      List[str]							,							)							->		None:


									'''simple docstring'''

									lowercase							=		{} if sp_model_kwargs is None else sp_model_kwargs

									super().__init__(
									    eos_token=__lowerCamelCase							,							unk_token=__lowerCamelCase							,							additional_special_tokens=__lowerCamelCase							,							sp_model_kwargs=self.sp_model_kwargs							,							**__lowerCamelCase							,							)

									lowercase							=		vocab_file
									lowercase							=		spm.SentencePieceProcessor(**self.sp_model_kwargs   )
									self.sp_model.Load(__lowerCamelCase   )

						@property
						def        __a		(	self				:      Union[str, Any]   )							->		int:


									'''simple docstring'''

									return self.sp_model.get_piece_size()

						def        __a		(	self				:      List[str]   )							->		Dict[str, int]:


									'''simple docstring'''

									lowercase							=		{self.convert_ids_to_tokens(__lowerCamelCase   ): i for i in range(self.vocab_size   )}
									vocab.update(self.added_tokens_encoder   )
									return vocab

						def __getstate__(	self				:      Tuple   )							->		Union[str, Any]:


									'''simple docstring'''

									lowercase							=		self.__dict__.copy()
									lowercase							=		None
									return state

						def __setstate__(	self				:      Union[str, Any]							,							__lowerCamelCase				:      List[Any]   )							->		Dict:


									'''simple docstring'''

									lowercase							=		d

									# for backward compatibility
									if not hasattr(self							,							'''sp_model_kwargs'''   ):
												lowercase							=		{}

									lowercase							=		spm.SentencePieceProcessor(**self.sp_model_kwargs   )
									self.sp_model.Load(self.vocab_file   )

						def        __a		(	self				:      str							,							__lowerCamelCase				:      str   )							->		List[str]:


									'''simple docstring'''

									return self.sp_model.encode(__lowerCamelCase							,							out_type=__lowerCamelCase   )

						def        __a		(	self				:      Any							,							__lowerCamelCase				:      Optional[int]   )							->		Optional[Any]:


									'''simple docstring'''

									return self.sp_model.piece_to_id(__lowerCamelCase   )

						def        __a		(	self				:      int							,							__lowerCamelCase				:      Any   )							->		Any:


									'''simple docstring'''

									if index < self.sp_model.get_piece_size():
												lowercase							=		self.sp_model.IdToPiece(__lowerCamelCase   )
									return token

						def        __a		(	self				:      Any							,							__lowerCamelCase				:      Union[str, Any]   )							->		Any:


									'''simple docstring'''

									lowercase							=		[]
									lowercase							=		''''''
									for token in tokens:
												# make sure that special tokens are not decoded using sentencepiece model
												if token in self.all_special_tokens:
															out_string += self.sp_model.decode(__lowerCamelCase   ) + token
															lowercase							=		[]
												else:
															current_sub_tokens.append(__lowerCamelCase   )
									out_string += self.sp_model.decode(__lowerCamelCase   )
									return out_string.strip()



						def        __a		(	self				:      Any							,							__lowerCamelCase				:      str							,							__lowerCamelCase				:      Optional[str] = None   )							->		Tuple[str]:


									'''simple docstring'''

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

									if os.path.abspath(self.vocab_file   ) != os.path.abspath(__lowerCamelCase   ) and os.path.isfile(self.vocab_file   ):
												copyfile(self.vocab_file							,							__lowerCamelCase   )
									elif not os.path.isfile(self.vocab_file   ):
												with open(__lowerCamelCase							,							'''wb'''   ) as fi:
															lowercase							=		self.sp_model.serialized_model_proto()
															fi.write(__lowerCamelCase   )

									return (out_vocab_file,)






# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


A_      =      re.compile(R"^(?P<major>\d+)" R"\.(?P<minor>\d+)" R"\.(?P<patch>\d+)$")






@total_ordering
@dataclass
class      __lowercase					:
						lowercase					 =     42
						lowercase					 =     None
						lowercase					 =     None
						lowercase					 =     None
						lowercase					 =     None

						def        __a		(	self				:      int   )							->		str:


									'''simple docstring'''

									lowercase		,lowercase		,lowercase							=		_str_to_version_tuple(self.version_str   )

						def __repr__(	self				:      Union[str, Any]   )							->		int:


									'''simple docstring'''

									return f'{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}'

						@property
						def        __a		(	self				:      Dict   )							->		Union[str, Any]:


									'''simple docstring'''

									return self.major, self.minor, self.patch

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      Any   )							->		Dict:


									'''simple docstring'''

									if isinstance(__lowerCamelCase							,							__lowerCamelCase   ):
												return Version(__lowerCamelCase   )
									elif isinstance(__lowerCamelCase							,							__lowerCamelCase   ):
												return other
									raise TypeError(f'{other} (type {type(__lowerCamelCase   )}) cannot be compared to version.'   )

						def __eq__(	self				:      Tuple							,							__lowerCamelCase				:      Tuple   )							->		List[Any]:


									'''simple docstring'''

									try:
												lowercase							=		self._validate_operand(__lowerCamelCase   )
									except (TypeError, ValueError):
												return False
									else:
												return self.tuple == other.tuple

						def __lt__(	self				:      Any							,							__lowerCamelCase				:      Union[str, Any]   )							->		int:


									'''simple docstring'''

									lowercase							=		self._validate_operand(__lowerCamelCase   )
									return self.tuple < other.tuple

						def __hash__(	self				:      int   )							->		str:


									'''simple docstring'''

									return hash(_version_tuple_to_str(self.tuple   )   )

						@classmethod
						def        __a		(	cls				:      List[str]							,							__lowerCamelCase				:      Any   )							->		int:


									'''simple docstring'''

									lowercase							=		{f.name for f in dataclasses.fields(cls   )}
									return cls(**{k: v for k, v in dic.items() if k in field_names}   )



						def        __a		(	self				:      Union[str, Any]   )							->		str:


									'''simple docstring'''

									return self.version_str






def        __UpperCAmelCase    (       UpperCAmelCase       )->       List[str]:



			"""simple docstring"""







			lowercase							=		_VERSION_REG.match(UpperCAmelCase       )
			if not res:
						raise ValueError(f'Invalid version \'{version_str}\'. Format should be x.y.z with {{x,y,z}} being digits.'       )
			return tuple(int(UpperCAmelCase       ) for v in [res.group('''major'''       ), res.group('''minor'''       ), res.group('''patch'''       )]       )






def        __UpperCAmelCase    (       UpperCAmelCase       )->       int:



			"""simple docstring"""







			return ".".join(str(UpperCAmelCase       ) for v in version_tuple       )





