
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


SCREAMING_SNAKE_CASE				:Optional[Any]									=							logging.get_logger(__name__)


SCREAMING_SNAKE_CASE				:Union[str, Any]									=							'▁'

SCREAMING_SNAKE_CASE				:Optional[int]									=							{'vocab_file': 'spiece.model'}

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

SCREAMING_SNAKE_CASE				:Optional[int]									=							{
    'google/reformer-crime-and-punishment': 52_4288,
}





class 				UpperCAmelCase (    __SCREAMING_SNAKE_CASE    ):




	'''simple docstring'''





	snake_case_          =	VOCAB_FILES_NAMES
	snake_case_          =	PRETRAINED_VOCAB_FILES_MAP
	snake_case_          =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	snake_case_          =	["input_ids", "attention_mask"]






	def __init__(			self   :					Tuple				,A   :					Any				,A   :					Any="</s>"				,A   :					Tuple="<unk>"				,A   :					Any=[]				,A   :					Optional[Dict[str, Any]] = None				,**A   :					List[Any]				,):
					__A       =					{} if sp_model_kwargs is None else sp_model_kwargs

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

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






	@property
	def 							UpperCamelCase_    (			self   :					Optional[int]					):
					return self.sp_model.get_piece_size()






	def 							UpperCamelCase_    (			self   :					List[str]					):
					__A       =					{self.convert_ids_to_tokens(A					): i for i in range(self.vocab_size					)}
					vocab.update(self.added_tokens_encoder					)
					return vocab






	def __getstate__(			self   :					List[Any]					):
					__A       =					self.__dict__.copy()
					__A       =					None
					return state






	def __setstate__(			self   :					str				,A   :					Any					):
					__A       =					d

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

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






	def 							UpperCamelCase_    (			self   :					int				,A   :					str					):
					return self.sp_model.encode(A				,out_type=A					)






	def 							UpperCamelCase_    (			self   :					str				,A   :					Tuple					):
					return self.sp_model.piece_to_id(A					)






	def 							UpperCamelCase_    (			self   :					str				,A   :					Optional[Any]					):
					if index < self.sp_model.get_piece_size():
									__A       =					self.sp_model.IdToPiece(A					)
					return token






	def 							UpperCamelCase_    (			self   :					List[Any]				,A   :					List[str]					):
					__A       =					[]
					__A       =					""
					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(A					) + token
													__A       =					[]
									else:
													current_sub_tokens.append(A					)
					out_string += self.sp_model.decode(A					)
					return out_string.strip()







	def 							UpperCamelCase_    (			self   :					List[Any]				,A   :					str				,A   :					Optional[str] = None					):
					if not os.path.isdir(A					):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''					)
									return
					__A       =					os.path.join(
					    A				,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]					)

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

					return (out_vocab_file,)






import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


__A								=       {
    "<": operator.lt,
    "<=": operator.le,
    "==": operator.eq,
    "!=": operator.ne,
    ">=": operator.ge,
    ">": operator.gt,
}







def      lowerCamelCase_						(			UpperCamelCase__							: List[str]					,	UpperCamelCase__							: Dict					,	UpperCamelCase__							: Dict					,	UpperCamelCase__							: Any					,	UpperCamelCase__							: Dict					,	UpperCamelCase__							: int )	->			List[Any]:





				"""simple docstring"""


				if got_ver is None or want_ver is None:
								raise ValueError(
								    F"""Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider"""
								    F""" reinstalling {pkg}.""" )
				if not ops[op](version.parse(UpperCamelCase__ )					,	version.parse(UpperCamelCase__ ) ):
								raise ImportError(
								    F"""{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}""" )







def      lowerCamelCase_						(			UpperCamelCase__							: str					,	UpperCamelCase__							: Optional[str] = None )	->			None:





				"""simple docstring"""


				__lowerCamelCase									=       F"""\n{hint}""" if hint is not None else ''

				# non-versioned check
				if re.match(R'^[\w_\-\d]+$'					,	UpperCamelCase__ ):
								__lowerCamelCase			,		__lowerCamelCase			,		__lowerCamelCase									=       requirement, None, None
				else:
								__lowerCamelCase									=       re.findall(R'^([^!=<>\s]+)([\s!=<>]{1,2}.+)'					,	UpperCamelCase__ )
								if not match:
												raise ValueError(
												    'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but'
												    F""" got {requirement}""" )
								__lowerCamelCase			,		__lowerCamelCase									=       match[0]
								__lowerCamelCase									=       want_full.split(',' )  # there could be multiple requirements
								__lowerCamelCase									=       {}
								for w in want_range:
												__lowerCamelCase									=       re.findall(R'^([\s!=<>]{1,2})(.+)'					,	UpperCamelCase__ )
												if not match:
																raise ValueError(
																    'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,'
																    F""" but got {requirement}""" )
												__lowerCamelCase			,		__lowerCamelCase									=       match[0]
												__lowerCamelCase									=       want_ver
												if op not in ops:
																raise ValueError(F"""{requirement}: need one of {list(ops.keys() )}, but got {op}""" )

    # special case
				if pkg == "python":
								__lowerCamelCase									=       '.'.join([str(UpperCamelCase__ ) for x in sys.version_info[:3]] )
								for op, want_ver in wanted.items():
												_compare_versions(UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__ )
								return

				# check if any version is installed
				try:
								__lowerCamelCase									=       importlib.metadata.version(UpperCamelCase__ )
				except importlib.metadata.PackageNotFoundError:
								raise importlib.metadata.PackageNotFoundError(
								    F"""The '{requirement}' distribution was not found and is required by this application. {hint}""" )

				# check that the right version is installed if version number or a range was provided
				if want_ver is not None:
								for op, want_ver in wanted.items():
												_compare_versions(UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__ )







def      lowerCamelCase_						(			UpperCamelCase__							: Optional[int] )	->			Optional[int]:





				"""simple docstring"""


				__lowerCamelCase									=       'Try: pip install transformers -U or pip install -e \'.[dev]\' if you\'re working with git main'
				return require_version(UpperCamelCase__					,	UpperCamelCase__ )


