"""simple docstring"""






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


__lowerCAmelCase    :       Any					     =logging.get_logger(__name__)

__lowerCAmelCase    :       Any					     ={"""vocab_file""": """spiece.model"""}

__lowerCAmelCase    :       Tuple					     ={
    """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"""
        ),
    }
}

__lowerCAmelCase    :       Optional[int]					     ={
    """google/bigbird-roberta-base""": 4_0_9_6,
    """google/bigbird-roberta-large""": 4_0_9_6,
    """google/bigbird-base-trivia-itc""": 4_0_9_6,
}





class  _A						(       lowerCAmelCase	):
      snake_case__			:   Dict							  =	VOCAB_FILES_NAMES
      snake_case__			:   List[str]							  =	PRETRAINED_VOCAB_FILES_MAP
      snake_case__			:   Optional[int]							  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__			:   Tuple							  =	['input_ids', 'attention_mask']
      snake_case__			:   List[int]							  =	[]

      def __init__(						self		,       __lowerCAmelCase		,       __lowerCAmelCase="<unk>"		,       __lowerCAmelCase="<s>"		,       __lowerCAmelCase="</s>"		,       __lowerCAmelCase="<pad>"		,       __lowerCAmelCase="[SEP]"		,       __lowerCAmelCase="[MASK]"		,       __lowerCAmelCase="[CLS]"		,       __lowerCAmelCase = None		,       **__lowerCAmelCase		,       ):







            """simple docstring"""



            lowercase														=	AddedToken(__lowerCAmelCase		,       lstrip=__lowerCAmelCase		,       rstrip=__lowerCAmelCase						) if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						) else bos_token
            lowercase														=	AddedToken(__lowerCAmelCase		,       lstrip=__lowerCAmelCase		,       rstrip=__lowerCAmelCase						) if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						) else eos_token
            lowercase														=	AddedToken(__lowerCAmelCase		,       lstrip=__lowerCAmelCase		,       rstrip=__lowerCAmelCase						) if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						) else unk_token
            lowercase														=	AddedToken(__lowerCAmelCase		,       lstrip=__lowerCAmelCase		,       rstrip=__lowerCAmelCase						) if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						) else pad_token
            lowercase														=	AddedToken(__lowerCAmelCase		,       lstrip=__lowerCAmelCase		,       rstrip=__lowerCAmelCase						) if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						) else cls_token
            lowercase														=	AddedToken(__lowerCAmelCase		,       lstrip=__lowerCAmelCase		,       rstrip=__lowerCAmelCase						) if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						) else sep_token

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

            lowercase														=	{} if sp_model_kwargs is None else sp_model_kwargs

            super().__init__(
                bos_token=__lowerCAmelCase		,       eos_token=__lowerCAmelCase		,       unk_token=__lowerCAmelCase		,       pad_token=__lowerCAmelCase		,       sep_token=__lowerCAmelCase		,       mask_token=__lowerCAmelCase		,       cls_token=__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						):







            """simple docstring"""



            return self.sp_model.get_piece_size()

      def 				A__       (						self						):







            """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						):







            """simple docstring"""



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

      def __setstate__(						self		,       __lowerCAmelCase						):







            """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		,       __lowerCAmelCase						):







            """simple docstring"""



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

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            return self.sp_model.piece_to_id(__lowerCAmelCase						)

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	self.sp_model.IdToPiece(__lowerCAmelCase						)
            return token

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	[]
            lowercase														=	""""""
            lowercase														=	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(__lowerCAmelCase						) + token
                        lowercase														=	True
                        lowercase														=	[]
                  else:
                        current_sub_tokens.append(__lowerCAmelCase						)
                        lowercase														=	False
            out_string += self.sp_model.decode(__lowerCAmelCase						)
            return out_string.strip()

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = False		,       __lowerCAmelCase = None		,       __lowerCAmelCase = True		,       **__lowerCAmelCase		,       ):







            """simple docstring"""



            lowercase														=	kwargs.pop("""use_source_tokenizer"""		,       __lowerCAmelCase						)

            lowercase														=	self.convert_ids_to_tokens(__lowerCAmelCase		,       skip_special_tokens=__lowerCAmelCase						)

            # 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
            lowercase														=	[]
            lowercase														=	[]
            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(__lowerCAmelCase						)						)
                              lowercase														=	[]
                        sub_texts.append(__lowerCAmelCase						)
                  else:
                        current_sub_text.append(__lowerCAmelCase						)
            if current_sub_text:
                  sub_texts.append(self.convert_tokens_to_string(__lowerCAmelCase						)						)

            # Mimic the behavior of the Rust tokenizer:
            # No space before [MASK] and [SEP]
            if spaces_between_special_tokens:
                  lowercase														=	re.sub(r""" (\[(MASK|SEP)\])"""		,       r"""\1"""		,       """ """.join(__lowerCAmelCase						)						)
            else:
                  lowercase														=	"""""".join(__lowerCAmelCase						)

            lowercase														=	(
                clean_up_tokenization_spaces
                if clean_up_tokenization_spaces is not None
                else self.clean_up_tokenization_spaces
            )
            if clean_up_tokenization_spaces:
                  lowercase														=	self.clean_up_tokenization(__lowerCAmelCase						)
                  return clean_text
            else:
                  return text

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """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,)

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """simple docstring"""



            if token_ids_a is None:
                  return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            lowercase														=	[self.cls_token_id]
            lowercase														=	[self.sep_token_id]
            return cls + token_ids_a + sep + token_ids_a + sep

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None		,       __lowerCAmelCase = False						):







            """simple docstring"""



            if already_has_special_tokens:
                  return super().get_special_tokens_mask(
                      token_ids_a=__lowerCAmelCase		,       token_ids_a=__lowerCAmelCase		,       already_has_special_tokens=__lowerCAmelCase						)

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







      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """simple docstring"""



            lowercase														=	[self.sep_token_id]
            lowercase														=	[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"""






from __future__ import annotations


def 			UpperCAmelCase__       (				lowerCAmelCase__     :list[int]		) ->    int:
      '''simple docstring'''


      if not nums:
            return 0
      lowercase														=	nums[0]
      lowercase														=	0
      for num in nums[1:]:
            lowercase							,							lowercase														=	(
                max_excluding + num,
                max(lowerCAmelCase__					,		lowerCAmelCase__		),
            )
      return max(lowerCAmelCase__					,		lowerCAmelCase__		)


if __name__ == "__main__":
       import doctest

       doctest.testmod()



