





import json
import os
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


A__:    str  	=	logging.get_logger(__name__)

A__:    Dict  	=	{'''vocab_file''': '''vocab.json'''}

A__:    List[Any]  	=	{
    '''vocab_file''': {
        '''mgp-str''': '''https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json''',
    }
}

A__:    Union[str, Any]  	=	{'''mgp-str''': 27}




class        _a    (    UpperCamelCase__):

      """simple docstring"""


      UpperCamelCase__  		=       VOCAB_FILES_NAMES
      UpperCamelCase__  		=       PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase__  		=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






      def __init__(		self:			Optional[int]	,    __lowerCamelCase:			int	,    __lowerCamelCase:			List[str]="[GO]"	,    __lowerCamelCase:			Optional[int]="[GO]"	,    __lowerCamelCase:			Optional[Any]="[s]"	,    __lowerCamelCase:			Tuple="[GO]"	,    **__lowerCamelCase:			List[Any]					):
          '''simple docstring'''


          super().__init__(
              unk_token=__lowerCamelCase	,    bos_token=__lowerCamelCase	,    eos_token=__lowerCamelCase	,    pad_token=__lowerCamelCase	,    **__lowerCamelCase	,    )

          with open(__lowerCamelCase	,    encoding="utf-8"					) as vocab_handle:
              UpperCamelCase__:	Tuple					=     json.load(__lowerCamelCase					)
          UpperCamelCase__:	str					=     {v: k for k, v in self.vocab.items()}






      @property
      def 			UpperCAmelCase_       (		self:			List[Any]					):
          '''simple docstring'''


          return len(self.vocab					)






      def 			UpperCAmelCase_       (		self:			str					):
          '''simple docstring'''


          return dict(self.vocab	,    **self.added_tokens_encoder					)






      def 			UpperCAmelCase_       (		self:			Tuple	,    __lowerCamelCase:			Optional[int]					):
          '''simple docstring'''


          UpperCamelCase__:	Optional[int]					=     []
          for s in text:
              char_tokens.extend(__lowerCamelCase					)
          return char_tokens






      def 			UpperCAmelCase_       (		self:			Tuple	,    __lowerCamelCase:			Tuple					):
          '''simple docstring'''


          return self.vocab.get(__lowerCamelCase	,    self.vocab.get(self.unk_token					)					)






      def 			UpperCAmelCase_       (		self:			Optional[Any]	,    __lowerCamelCase:			List[str]					):
          '''simple docstring'''


          return self.decoder.get(__lowerCamelCase					)






      def 			UpperCAmelCase_       (		self:			Optional[int]	,    __lowerCamelCase:			str	,    __lowerCamelCase:			Optional[str] = None					):
          '''simple docstring'''


          if not os.path.isdir(__lowerCamelCase					):
              logger.error("Vocabulary path ({}) should be a directory".format(__lowerCamelCase					)					)
              return
          UpperCamelCase__:	int					=     os.path.join(
              __lowerCamelCase	,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]					)

          with open(__lowerCamelCase	,    "w"	,    encoding="utf-8"					) as f:
              f.write(json.dumps(self.vocab	,    indent=2	,    sort_keys=__lowerCamelCase	,    ensure_ascii=__lowerCamelCase					) + "\n"					)

          return (vocab_file,)








import logging

from transformers import PretrainedConfig


A__:    Dict  	=	logging.getLogger(__name__)


A__:    List[Any]  	=	{
    '''bertabs-finetuned-cnndm''': '''https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json''',
}




class        _a    (    UpperCamelCase__):

      """simple docstring"""


      UpperCamelCase__  		=       """bertabs"""






      def __init__(		self:			Any	,    __lowerCamelCase:			Optional[int]=3_0522	,    __lowerCamelCase:			List[Any]=512	,    __lowerCamelCase:			Optional[Any]=6	,    __lowerCamelCase:			Optional[Any]=512	,    __lowerCamelCase:			List[str]=8	,    __lowerCamelCase:			List[Any]=512	,    __lowerCamelCase:			Optional[int]=0.2	,    __lowerCamelCase:			Optional[int]=6	,    __lowerCamelCase:			Optional[Any]=768	,    __lowerCamelCase:			int=8	,    __lowerCamelCase:			Union[str, Any]=2048	,    __lowerCamelCase:			Dict=0.2	,    **__lowerCamelCase:			Dict	,    ):
          '''simple docstring'''


          super().__init__(**__lowerCamelCase					)

          UpperCamelCase__:	str					=     vocab_size
          UpperCamelCase__:	Tuple					=     max_pos

          UpperCamelCase__:	Union[str, Any]					=     enc_layers
          UpperCamelCase__:	Optional[Any]					=     enc_hidden_size
          UpperCamelCase__:	Optional[Any]					=     enc_heads
          UpperCamelCase__:	Dict					=     enc_ff_size
          UpperCamelCase__:	Tuple					=     enc_dropout

          UpperCamelCase__:	Tuple					=     dec_layers
          UpperCamelCase__:	int					=     dec_hidden_size
          UpperCamelCase__:	int					=     dec_heads
          UpperCamelCase__:	str					=     dec_ff_size
          UpperCamelCase__:	Union[str, Any]					=     dec_dropout

