import os
from typing import Optional

import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE

class        UpperCamelCase						(				__a				):
						a__		:Optional[int]      =			''''''
						a__		:str      =			(
						    None  # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz
						)
						a__		:str      =			None  # compression type in fsspec. ex: "gzip"
						a__		:str      =			None  # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz





						def __init__(self			,     __UpperCamelCase = ""			,     __UpperCamelCase = None			,     __UpperCamelCase = None			,     **__UpperCamelCase						)				->				List[str]:
												super().__init__(self			,     **__UpperCamelCase						)
												# always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode
												UpperCamelCase_		:							Tuple  =		fsspec.open(
												    __UpperCamelCase			,     mode="""rb"""			,     protocol=__UpperCamelCase			,     compression=self.compression			,     client_kwargs={
												        """requote_redirect_url""": False,  # see https://github.com/huggingface/datasets/pull/5459
												        """trust_env""": True,  # Enable reading proxy env variables.
												        **(target_options or {}).pop("""client_kwargs"""			,     {}						),  # To avoid issues if it was already passed.
												    }			,     **(target_options or {})			,     )
												UpperCamelCase_		:							List[Any]  =		os.path.basename(self.file.path.split("""::"""						)[0]						)
												UpperCamelCase_		:							Any  =		(
												    self.compressed_name[: self.compressed_name.rindex("""."""						)]
												    if """.""" in self.compressed_name
												    else self.compressed_name
												)
												UpperCamelCase_		:							Dict  =		None





						@classmethod
						def        A_							(cls			,     __UpperCamelCase						)				->				Tuple:
												# compressed file paths are always relative to the archive root
												return super()._strip_protocol(__UpperCamelCase						).lstrip("""/"""						)





						def        A_							(self						)				->				Union[str, Any]:
												if self.dir_cache is None:
																		UpperCamelCase_		:							List[str]  =		{**self.file.fs.info(self.file.path						), """name""": self.uncompressed_name}
																		UpperCamelCase_		:							Union[str, Any]  =		{f["""name"""]: f}





						def        A_							(self			,     __UpperCamelCase						)				->				Optional[Any]:
												return self.file.open().read()





						def        A_							(self			,     __UpperCamelCase			,     __UpperCamelCase = "rb"			,     __UpperCamelCase=None			,     __UpperCamelCase=True			,     __UpperCamelCase=None			,     **__UpperCamelCase			,     )				->				List[str]:
												UpperCamelCase_		:							int  =		self._strip_protocol(__UpperCamelCase						)
												if mode != "rb":
																		raise ValueError(f'''Tried to read with mode {mode} on file {self.file.path} opened with mode \'rb\''''						)
												return self.file.open()


class        UpperCamelCase						(				__a				):
						a__		:Optional[Any]      =			'''bz2'''
						a__		:Dict      =			'''bz2'''
						a__		:int      =			'''.bz2'''


class        UpperCamelCase						(				__a				):
						a__		:Optional[int]      =			'''gzip'''
						a__		:str      =			'''gzip'''
						a__		:Any      =			'''.gz'''


class        UpperCamelCase						(				__a				):
						a__		:Optional[int]      =			'''lz4'''
						a__		:str      =			'''lz4'''
						a__		:int      =			'''.lz4'''


class        UpperCamelCase						(				__a				):
						a__		:List[str]      =			'''xz'''
						a__		:List[str]      =			'''xz'''
						a__		:Union[str, Any]      =			'''.xz'''


class        UpperCamelCase						(				__a				):
						a__		:Optional[Any]      =			'''zstd'''
						a__		:Tuple      =			'''zstd'''
						a__		:Optional[int]      =			'''.zst'''





						def __init__(self			,     __UpperCamelCase			,     __UpperCamelCase = "rb"			,     __UpperCamelCase = None			,     __UpperCamelCase = None			,     __UpperCamelCase = DEFAULT_BLOCK_SIZE			,     **__UpperCamelCase			,     )				->				Any:
												super().__init__(
												    fo=__UpperCamelCase			,     mode=__UpperCamelCase			,     target_protocol=__UpperCamelCase			,     target_options=__UpperCamelCase			,     block_size=__UpperCamelCase			,     **__UpperCamelCase			,     )
												# We need to wrap the zstd decompressor to avoid this error in fsspec==2021.7.0 and zstandard==0.15.2:
												#
												# File "/Users/user/.virtualenvs/hf-datasets/lib/python3.7/site-packages/fsspec/core.py", line 145, in open
												#     out.close = close
												# AttributeError: 'zstd.ZstdDecompressionReader' object attribute 'close' is read-only
												#
												# see https://github.com/intake/filesystem_spec/issues/725
												UpperCamelCase_		:							int  =		self.file.__enter__

												class        UpperCamelCase						:





																		def __init__(self			,     __UpperCamelCase						)				->				int:
																								UpperCamelCase_		:							int  =		file_





																		def __enter__(self						)				->				int:
																								self._file.__enter__()
																								return self





																		def __exit__(self			,     *__UpperCamelCase			,     **__UpperCamelCase						)				->				List[Any]:
																								self._file.__exit__(*__UpperCamelCase			,     **__UpperCamelCase						)





																		def __iter__(self						)				->				Dict:
																								return iter(self._file						)





																		def        A_							(self						)				->				int:
																								return next(self._file						)





																		def __getattr__(self			,     __UpperCamelCase						)				->				Tuple:
																								return getattr(self._file			,     __UpperCamelCase						)

												def fixed_enter(*__UpperCamelCase			,     **__UpperCamelCase						):
																		return WrappedFile(_enter(*__UpperCamelCase			,     **__UpperCamelCase						)						)

												UpperCamelCase_		:							Dict  =		fixed_enter







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		:     Union[str, Any]         =	logging.get_logger(__name__)


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

SCREAMING_SNAKE_CASE		:     Dict         =	{"vocab_file": "spiece.model"}

SCREAMING_SNAKE_CASE		:     List[Any]         =	{
    "vocab_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"
        )
    }
}

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

class        UpperCamelCase						(				__a				):
						a__		:Optional[Any]      =			VOCAB_FILES_NAMES
						a__		:List[Any]      =			PRETRAINED_VOCAB_FILES_MAP
						a__		:Union[str, Any]      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						a__		:List[Any]      =			['''input_ids''', '''attention_mask''']





						def __init__(self			,     __UpperCamelCase			,     __UpperCamelCase="</s>"			,     __UpperCamelCase="<unk>"			,     __UpperCamelCase=[]			,     __UpperCamelCase = None			,     **__UpperCamelCase			,     )				->				None:
												UpperCamelCase_		:							List[str]  =		{} if sp_model_kwargs is None else sp_model_kwargs

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

												UpperCamelCase_		:							int  =		vocab_file
												UpperCamelCase_		:							str  =		spm.SentencePieceProcessor(**self.sp_model_kwargs						)
												self.sp_model.Load(__UpperCamelCase						)





						@property
						def        A_							(self						)				->				Dict:
												return self.sp_model.get_piece_size()





						def        A_							(self						)				->				Dict[str, int]:
												UpperCamelCase_		:							str  =		{self.convert_ids_to_tokens(__UpperCamelCase						): i for i in range(self.vocab_size						)}
												vocab.update(self.added_tokens_encoder						)
												return vocab





						def __getstate__(self						)				->				Any:
												UpperCamelCase_		:							Dict  =		self.__dict__.copy()
												UpperCamelCase_		:							List[str]  =		None
												return state





						def __setstate__(self			,     __UpperCamelCase						)				->				List[Any]:
												UpperCamelCase_		:							List[Any]  =		d

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

												UpperCamelCase_		:							Dict  =		spm.SentencePieceProcessor(**self.sp_model_kwargs						)
												self.sp_model.Load(self.vocab_file						)





						def        A_							(self			,     __UpperCamelCase						)				->				List[str]:
												return self.sp_model.encode(__UpperCamelCase			,     out_type=__UpperCamelCase						)





						def        A_							(self			,     __UpperCamelCase						)				->				Union[str, Any]:
												return self.sp_model.piece_to_id(__UpperCamelCase						)





						def        A_							(self			,     __UpperCamelCase						)				->				Dict:
												if index < self.sp_model.get_piece_size():
																		UpperCamelCase_		:							Union[str, Any]  =		self.sp_model.IdToPiece(__UpperCamelCase						)
												return token





						def        A_							(self			,     __UpperCamelCase						)				->				int:
												UpperCamelCase_		:							Dict  =		[]
												UpperCamelCase_		:							Union[str, Any]  =		""""""
												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(__UpperCamelCase						) + token
																								UpperCamelCase_		:							Optional[Any]  =		[]
																		else:
																								current_sub_tokens.append(__UpperCamelCase						)
												out_string += self.sp_model.decode(__UpperCamelCase						)
												return out_string.strip()





						def        A_							(self			,     __UpperCamelCase			,     __UpperCamelCase = None						)				->				Tuple[str]:
												if not os.path.isdir(__UpperCamelCase						):
																		logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''						)
																		return
												UpperCamelCase_		:							Tuple  =		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						) and os.path.isfile(self.vocab_file						):
																		copyfile(self.vocab_file			,     __UpperCamelCase						)
												elif not os.path.isfile(self.vocab_file						):
																		with open(__UpperCamelCase			,     """wb"""						) as fi:
																								UpperCamelCase_		:							int  =		self.sp_model.serialized_model_proto()
																								fi.write(__UpperCamelCase						)

												return (out_vocab_file,)






