"""simple docstring"""






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

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
       from .tokenization_big_bird import BigBirdTokenizer
else:
       __lowerCAmelCase       :			Optional[int]   	=None

__lowerCAmelCase       :			Any   	=logging.get_logger(__name__)
__lowerCAmelCase       :			str   	={"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

__lowerCAmelCase       :			str   	={
    """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"""
        ),
    },
    """tokenizer_file""": {
        """google/bigbird-roberta-base""": (
            """https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json"""
        ),
        """google/bigbird-roberta-large""": (
            """https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json"""
        ),
        """google/bigbird-base-trivia-itc""": (
            """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json"""
        ),
    },
}

__lowerCAmelCase       :			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,
}


__lowerCAmelCase       :			Optional[Any]   	="""▁"""





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

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

            super().__init__(
                __lowerCAmelCase						,			tokenizer_file=__lowerCAmelCase						,			bos_token=__lowerCAmelCase						,			eos_token=__lowerCAmelCase						,			unk_token=__lowerCAmelCase						,			sep_token=__lowerCAmelCase						,			pad_token=__lowerCAmelCase						,			cls_token=__lowerCAmelCase						,			mask_token=__lowerCAmelCase						,			**__lowerCAmelCase						,			)

            lowercase								=      vocab_file
            lowercase								=      False if not self.vocab_file else True

      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 cls + token_ids_a + sep
            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:
                  if token_ids_a is not None:
                        raise ValueError(
                            """You should not supply a second sequence if the provided sequence of """
                            """ids is already formatted with special tokens for the model."""		)
                  return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

            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]







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







            """simple docstring"""



            if not self.can_save_slow_tokenizer:
                  raise ValueError(
                      """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                      """tokenizer."""		)

            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		):
                  copyfile(self.vocab_file						,			__lowerCAmelCase		)

            return (out_vocab_file,)




"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase       :			int   	=logging.get_logger(__name__)

__lowerCAmelCase       :			Optional[Any]   	={
    """uw-madison/mra-base-512-4""": """https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json""",
}





class 					_A		(			lowerCAmelCase      ):
      snake_case__     :  Optional[int]				    =      'mra'

      def __init__(		self						,			__lowerCAmelCase=5_0265						,			__lowerCAmelCase=768						,			__lowerCAmelCase=12						,			__lowerCAmelCase=12						,			__lowerCAmelCase=3072						,			__lowerCAmelCase="gelu"						,			__lowerCAmelCase=0.1						,			__lowerCAmelCase=0.1						,			__lowerCAmelCase=512						,			__lowerCAmelCase=1						,			__lowerCAmelCase=0.0_2						,			__lowerCAmelCase=1E-5						,			__lowerCAmelCase="absolute"						,			__lowerCAmelCase=4						,			__lowerCAmelCase="full"						,			__lowerCAmelCase=0						,			__lowerCAmelCase=0						,			__lowerCAmelCase=1						,			__lowerCAmelCase=0						,			__lowerCAmelCase=2						,			**__lowerCAmelCase						,			):







            """simple docstring"""



            super().__init__(pad_token_id=__lowerCAmelCase						,			bos_token_id=__lowerCAmelCase						,			eos_token_id=__lowerCAmelCase						,			**__lowerCAmelCase		)

            lowercase								=      vocab_size
            lowercase								=      max_position_embeddings
            lowercase								=      hidden_size
            lowercase								=      num_hidden_layers
            lowercase								=      num_attention_heads
            lowercase								=      intermediate_size
            lowercase								=      hidden_act
            lowercase								=      hidden_dropout_prob
            lowercase								=      attention_probs_dropout_prob
            lowercase								=      initializer_range
            lowercase								=      type_vocab_size
            lowercase								=      layer_norm_eps
            lowercase								=      position_embedding_type
            lowercase								=      block_per_row
            lowercase								=      approx_mode
            lowercase								=      initial_prior_first_n_blocks
            lowercase								=      initial_prior_diagonal_n_blocks



