





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

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_UpperCAmelCase				:       List[str]	   =				logging.get_logger(__name__)

_UpperCAmelCase				:       List[str]	   =				{"""vocab_file""": """spiece.model"""}

_UpperCAmelCase				:       int	   =				{
    """vocab_file""": {
        """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model""",
        """google/bigbird-roberta-large""": (
            """https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model"""
        ),
        """google/bigbird-base-trivia-itc""": (
            """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model"""
        ),
    }
}

_UpperCAmelCase				:       str	   =				{
    """google/bigbird-roberta-base""": 40_96,
    """google/bigbird-roberta-large""": 40_96,
    """google/bigbird-base-trivia-itc""": 40_96,
}

class    lowerCAmelCase							(					snake_case_			):
 UpperCAmelCase__													=		VOCAB_FILES_NAMES
 UpperCAmelCase__													=		PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase__													=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase__													=		["""input_ids""", """attention_mask"""]
 UpperCAmelCase__													=		[]
 def __init__(      self  :      Union[str, Any]			,     UpperCAmelCase  :      Optional[Any]			,     UpperCAmelCase  :      List[str]="<unk>"			,     UpperCAmelCase  :      Optional[int]="<s>"			,     UpperCAmelCase  :      Any="</s>"			,     UpperCAmelCase  :      Any="<pad>"			,     UpperCAmelCase  :      Optional[int]="[SEP]"			,     UpperCAmelCase  :      Union[str, Any]="[MASK]"			,     UpperCAmelCase  :      int="[CLS]"			,     UpperCAmelCase  :      Dict = None			,     **UpperCAmelCase  :      str			,     )			->	None:
     lowerCamelCase__    :      Tuple					 =		AddedToken(UpperCAmelCase			,     lstrip=UpperCAmelCase			,     rstrip=UpperCAmelCase	) if isinstance(UpperCAmelCase			,     UpperCAmelCase	) else bos_token
     lowerCamelCase__    :      Dict					 =		AddedToken(UpperCAmelCase			,     lstrip=UpperCAmelCase			,     rstrip=UpperCAmelCase	) if isinstance(UpperCAmelCase			,     UpperCAmelCase	) else eos_token
     lowerCamelCase__    :      Optional[int]					 =		AddedToken(UpperCAmelCase			,     lstrip=UpperCAmelCase			,     rstrip=UpperCAmelCase	) if isinstance(UpperCAmelCase			,     UpperCAmelCase	) else unk_token
     lowerCamelCase__    :      Any					 =		AddedToken(UpperCAmelCase			,     lstrip=UpperCAmelCase			,     rstrip=UpperCAmelCase	) if isinstance(UpperCAmelCase			,     UpperCAmelCase	) else pad_token
     lowerCamelCase__    :      List[str]					 =		AddedToken(UpperCAmelCase			,     lstrip=UpperCAmelCase			,     rstrip=UpperCAmelCase	) if isinstance(UpperCAmelCase			,     UpperCAmelCase	) else cls_token
     lowerCamelCase__    :      List[Any]					 =		AddedToken(UpperCAmelCase			,     lstrip=UpperCAmelCase			,     rstrip=UpperCAmelCase	) if isinstance(UpperCAmelCase			,     UpperCAmelCase	) else sep_token

     # Mask token behave like a normal word, i.e. include the space before it
     lowerCamelCase__    :      Any					 =		AddedToken(UpperCAmelCase			,     lstrip=UpperCAmelCase			,     rstrip=UpperCAmelCase	) if isinstance(UpperCAmelCase			,     UpperCAmelCase	) else mask_token

     lowerCamelCase__    :      Any					 =		{} if sp_model_kwargs is None else sp_model_kwargs

     super().__init__(
         bos_token=UpperCAmelCase			,     eos_token=UpperCAmelCase			,     unk_token=UpperCAmelCase			,     pad_token=UpperCAmelCase			,     sep_token=UpperCAmelCase			,     mask_token=UpperCAmelCase			,     cls_token=UpperCAmelCase			,     sp_model_kwargs=self.sp_model_kwargs			,     **UpperCAmelCase			,     )

     lowerCamelCase__    :      List[str]					 =		vocab_file

     lowerCamelCase__    :      List[str]					 =		spm.SentencePieceProcessor(**self.sp_model_kwargs	)
     self.sp_model.Load(UpperCAmelCase	)
 @property
 def      A_	(      self  :      int	)			->	Optional[int]:
     return self.sp_model.get_piece_size()
 def      A_	(      self  :      Tuple	)			->	Any:
     lowerCamelCase__    :      List[Any]					 =		{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  :      int	)			->	Union[str, Any]:
     lowerCamelCase__    :      Dict					 =		self.__dict__.copy()
     lowerCamelCase__    :      Tuple					 =		None
     return state
 def __setstate__(      self  :      Optional[Any]			,     UpperCAmelCase  :      Optional[Any]	)			->	Dict:
     lowerCamelCase__    :      Optional[int]					 =		d

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

     lowerCamelCase__    :      Union[str, Any]					 =		spm.SentencePieceProcessor(**self.sp_model_kwargs	)
     self.sp_model.Load(self.vocab_file	)
 def      A_	(      self  :      List[str]			,     UpperCAmelCase  :      List[str]	)			->	List[str]:
     return self.sp_model.encode(UpperCAmelCase			,     out_type=UpperCAmelCase	)
 def      A_	(      self  :      Dict			,     UpperCAmelCase  :      Optional[Any]	)			->	Optional[Any]:
     return self.sp_model.piece_to_id(UpperCAmelCase	)
 def      A_	(      self  :      List[Any]			,     UpperCAmelCase  :      Optional[int]	)			->	List[Any]:
     lowerCamelCase__    :      Optional[int]					 =		self.sp_model.IdToPiece(UpperCAmelCase	)
     return token
 def      A_	(      self  :      Dict			,     UpperCAmelCase  :      List[str]	)			->	Optional[Any]:
     lowerCamelCase__    :      Optional[Any]					 =		[]
     lowerCamelCase__    :      Dict					 =		''
     lowerCamelCase__    :      Any					 =		False
     for token in tokens:
         # make sure that special tokens are not decoded using sentencepiece model
         if token in self.all_special_tokens:
             if not prev_is_special:
                 out_string += " "
             out_string += self.sp_model.decode(UpperCAmelCase	) + token
             lowerCamelCase__    :      Union[str, Any]					 =		True
             lowerCamelCase__    :      Dict					 =		[]
         else:
             current_sub_tokens.append(UpperCAmelCase	)
             lowerCamelCase__    :      Optional[int]					 =		False
     out_string += self.sp_model.decode(UpperCAmelCase	)
     return out_string.strip()
 def      A_	(      self  :      Any			,     UpperCAmelCase  :      Any			,     UpperCAmelCase  :      Optional[Any] = False			,     UpperCAmelCase  :      Optional[int] = None			,     UpperCAmelCase  :      Optional[int] = True			,     **UpperCAmelCase  :      Tuple			,     )			->	str:
     lowerCamelCase__    :      Any					 =		kwargs.pop('use_source_tokenizer'			,     UpperCAmelCase	)

     lowerCamelCase__    :      int					 =		self.convert_ids_to_tokens(UpperCAmelCase			,     skip_special_tokens=UpperCAmelCase	)

     # To avoid mixing byte-level and unicode for byte-level BPT
     # we need to build string separately for added tokens and byte-level tokens
     # cf. https://github.com/huggingface/transformers/issues/1133
     lowerCamelCase__    :      Any					 =		[]
     lowerCamelCase__    :      List[str]					 =		[]
     for token in filtered_tokens:
         if skip_special_tokens and token in self.all_special_ids:
             continue
         if token in self.added_tokens_encoder:
             if current_sub_text:
                 sub_texts.append(self.convert_tokens_to_string(UpperCAmelCase	)	)
                 lowerCamelCase__    :      Optional[int]					 =		[]
             sub_texts.append(UpperCAmelCase	)
         else:
             current_sub_text.append(UpperCAmelCase	)
     if current_sub_text:
         sub_texts.append(self.convert_tokens_to_string(UpperCAmelCase	)	)

     # Mimic the behavior of the Rust tokenizer:
     # No space before [MASK] and [SEP]
     if spaces_between_special_tokens:
         lowerCamelCase__    :      Tuple					 =		re.sub(R' (\[(MASK|SEP)\])'			,     R'\1'			,     ' '.join(UpperCAmelCase	)	)
     else:
         lowerCamelCase__    :      List[Any]					 =		''.join(UpperCAmelCase	)

     lowerCamelCase__    :      Optional[int]					 =		(
         clean_up_tokenization_spaces
         if clean_up_tokenization_spaces is not None
         else self.clean_up_tokenization_spaces
     )
     if clean_up_tokenization_spaces:
         lowerCamelCase__    :      Optional[int]					 =		self.clean_up_tokenization(UpperCAmelCase	)
         return clean_text
     else:
         return text
 def      A_	(      self  :      Tuple			,     UpperCAmelCase  :      Optional[int]			,     UpperCAmelCase  :      Dict = None	)			->	Tuple[str]:
     if not os.path.isdir(UpperCAmelCase	):
         logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""	)
         return
     lowerCamelCase__    :      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	) 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:
             lowerCamelCase__    :      List[str]					 =		self.sp_model.serialized_model_proto()
             fi.write(UpperCAmelCase	)

     return (out_vocab_file,)
 def      A_	(      self  :      int			,     UpperCAmelCase  :      Tuple			,     UpperCAmelCase  :      Optional[Any] = None	)			->	List[int]:
     if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     lowerCamelCase__    :      Optional[Any]					 =		[self.cls_token_id]
     lowerCamelCase__    :      List[Any]					 =		[self.sep_token_id]
     return cls + token_ids_a + sep + token_ids_a + sep
 def      A_	(      self  :      Tuple			,     UpperCAmelCase  :      List[str]			,     UpperCAmelCase  :      Union[str, Any] = None			,     UpperCAmelCase  :      Optional[Any] = False	)			->	List[int]:
     if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=UpperCAmelCase			,     token_ids_a=UpperCAmelCase			,     already_has_special_tokens=UpperCAmelCase	)

     if token_ids_a is None:
         return [1] + ([0] * len(UpperCAmelCase	)) + [1]
     return [1] + ([0] * len(UpperCAmelCase	)) + [1] + ([0] * len(UpperCAmelCase	)) + [1]







 def      A_	(      self  :      Tuple			,     UpperCAmelCase  :      Tuple			,     UpperCAmelCase  :      str = None	)			->	List[int]:
     lowerCamelCase__    :      List[str]					 =		[self.sep_token_id]
     lowerCamelCase__    :      int					 =		[self.cls_token_id]
     if token_ids_a is None:
         return len(cls + token_ids_a + sep	) * [0]
     return len(cls + token_ids_a + sep	) * [0] + len(token_ids_a + sep	) * [1]












'''simple docstring'''

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

from packaging import version


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





def lowerCamelCase						(     __lowerCamelCase :    Tuple					,       __lowerCamelCase :    Optional[Any]					,       __lowerCamelCase :    Dict					,       __lowerCamelCase :    List[Any]					,       __lowerCamelCase :    Optional[int]					,       __lowerCamelCase :    Optional[Any]    )						->Tuple:
    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(__lowerCamelCase    )					,       version.parse(__lowerCamelCase    )    ):
        raise ImportError(
            F'{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}'    )





def lowerCamelCase						(     __lowerCamelCase :    str					,       __lowerCamelCase :    Optional[str] = None    )						->None:
    _SCREAMING_SNAKE_CASE									=			F'\n{hint}' if hint is not None else """"""

    # non-versioned check
    if re.match(R"""^[\w_\-\d]+$"""					,       __lowerCamelCase    ):
        _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			requirement, None, None
    else:
        _SCREAMING_SNAKE_CASE									=			re.findall(R"""^([^!=<>\s]+)([\s!=<>]{1,2}.+)"""					,       __lowerCamelCase    )
        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}'    )
        _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			match[0]
        _SCREAMING_SNAKE_CASE									=			want_full.split(""","""    )  # there could be multiple requirements
        _SCREAMING_SNAKE_CASE									=			{}
        for w in want_range:
            _SCREAMING_SNAKE_CASE									=			re.findall(R"""^([\s!=<>]{1,2})(.+)"""					,       __lowerCamelCase    )
            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}'    )
            _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			match[0]
            _SCREAMING_SNAKE_CASE									=			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":
        _SCREAMING_SNAKE_CASE									=			""".""".join([str(__lowerCamelCase    ) for x in sys.version_info[:3]]    )
        for op, want_ver in wanted.items():
            _compare_versions(__lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase    )
        return

    # check if any version is installed
    try:
        _SCREAMING_SNAKE_CASE									=			importlib.metadata.version(__lowerCamelCase    )
    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(__lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase    )






def lowerCamelCase						(     __lowerCamelCase :    Union[str, Any]    )						->str:
    _SCREAMING_SNAKE_CASE									=			"""Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git main"""
    return require_version(__lowerCamelCase					,       __lowerCamelCase    )



