'''simple docstring'''
import json
import os
from typing import Optional, Tuple

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


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

lowercase__	:   Tuple										=       {"vocab_file": "vocab.json"}

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

lowercase__	:   int										=       {"mgp-str": 27}







class lowerCamelCase				(						lowerCamelCase       ):




  '''simple docstring'''



  lowerCAmelCase__      				=						VOCAB_FILES_NAMES
  lowerCAmelCase__      				=						PRETRAINED_VOCAB_FILES_MAP
  lowerCAmelCase__      				=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






  def __init__(   self      :							Optional[Any]	,				UpperCAmelCase__      :							int	,				UpperCAmelCase__      :							Dict="[GO]"	,				UpperCAmelCase__      :							Union[str, Any]="[GO]"	,				UpperCAmelCase__      :							Union[str, Any]="[s]"	,				UpperCAmelCase__      :							Optional[int]="[GO]"	,				**UpperCAmelCase__      :							List[str]	)					->Optional[Any]:
        super().__init__(
            unk_token=_lowercase	,				bos_token=_lowercase	,				eos_token=_lowercase	,				pad_token=_lowercase	,				**_lowercase	,				)

        with open(_lowercase	,				encoding='''utf-8'''	) as vocab_handle:
              UpperCAmelCase_      =	json.load(_lowercase	)
        UpperCAmelCase_      =	{v: k for k, v in self.vocab.items()}






  @property
  def 			lowerCAmelCase__			(   self      :							Optional[Any]	)					->int:
        return len(self.vocab	)






  def 			lowerCAmelCase__			(   self      :							str	)					->Union[str, Any]:
        return dict(self.vocab	,				**self.added_tokens_encoder	)






  def 			lowerCAmelCase__			(   self      :							int	,				UpperCAmelCase__      :							Any	)					->Optional[Any]:
        UpperCAmelCase_      =	[]
        for s in text:
              char_tokens.extend(_lowercase	)
        return char_tokens






  def 			lowerCAmelCase__			(   self      :							List[str]	,				UpperCAmelCase__      :							Dict	)					->Any:
        return self.vocab.get(_lowercase	,				self.vocab.get(self.unk_token	)	)






  def 			lowerCAmelCase__			(   self      :							int	,				UpperCAmelCase__      :							str	)					->str:
        return self.decoder.get(_lowercase	)






  def 			lowerCAmelCase__			(   self      :							Dict	,				UpperCAmelCase__      :							str	,				UpperCAmelCase__      :							Optional[str] = None	)					->Tuple[str]:
        if not os.path.isdir(_lowercase	):
              logger.error('''Vocabulary path ({}) should be a directory'''.format(_lowercase	)	)
              return
        UpperCAmelCase_      =	os.path.join(
            _lowercase	,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)

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

        return (vocab_file,)











'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE			=						logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE			=						{
    "facebook/dpr-ctx_encoder-single-nq-base": (
        "https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json"
    ),
    "facebook/dpr-question_encoder-single-nq-base": (
        "https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json"
    ),
    "facebook/dpr-reader-single-nq-base": (
        "https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json"
    ),
    "facebook/dpr-ctx_encoder-multiset-base": (
        "https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json"
    ),
    "facebook/dpr-question_encoder-multiset-base": (
        "https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json"
    ),
    "facebook/dpr-reader-multiset-base": (
        "https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json"
    ),
}
class   __UpperCAmelCase				(     lowerCAmelCase				):



					'''simple docstring'''





					_UpperCamelCase							=		"""dpr"""



					def __init__(	self     :						Optional[Any]      ,       _lowercase     :						Dict=30_522      ,       _lowercase     :						Tuple=768      ,       _lowercase     :						int=12      ,       _lowercase     :						List[str]=12      ,       _lowercase     :						Union[str, Any]=3_072      ,       _lowercase     :						Dict="gelu"      ,       _lowercase     :						Dict=0.1      ,       _lowercase     :						Any=0.1      ,       _lowercase     :						Union[str, Any]=512      ,       _lowercase     :						Optional[int]=2      ,       _lowercase     :						Union[str, Any]=0.02      ,       _lowercase     :						List[Any]=1E-12      ,       _lowercase     :						List[str]=0      ,       _lowercase     :						Dict="absolute"      ,       _lowercase     :						int = 0      ,       **_lowercase     :						int      ,       )    ->							int:
								super().__init__(pad_token_id=_lowercase      ,       **_lowercase)

								A_									= vocab_size
								A_									= hidden_size
								A_									= num_hidden_layers
								A_									= num_attention_heads
								A_									= hidden_act
								A_									= intermediate_size
								A_									= hidden_dropout_prob
								A_									= attention_probs_dropout_prob
								A_									= max_position_embeddings
								A_									= type_vocab_size
								A_									= initializer_range
								A_									= layer_norm_eps
								A_									= projection_dim
								A_									= position_embedding_type




