
import json
import os
from typing import Optional, Tuple

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


lowercase  :					int						    =							logging.get_logger(__name__)

lowercase  :					Optional[Any]						    =							{"""vocab_file""": """vocab.json"""}

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

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

class __snake_case		(      lowerCAmelCase     ):
    _a		:						List[Any]=				VOCAB_FILES_NAMES
    _a		:						Optional[int]=				PRETRAINED_VOCAB_FILES_MAP
    _a		:						str=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    def __init__(  self		,snake_case		,snake_case="[GO]"		,snake_case="[GO]"		,snake_case="[s]"		,snake_case="[GO]"		,**snake_case      ):



           '''simple docstring'''







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

           with open(snake_case		,encoding="""utf-8"""      ) as vocab_handle:
                  lowercase							:     Dict       	=      json.load(snake_case      )
           lowercase							:     Dict       	=      {v: k for k, v in self.vocab.items()}
    @property
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           return len(self.vocab      )
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           return dict(self.vocab		,**self.added_tokens_encoder      )
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           lowercase							:     Dict       	=      []
           for s in text:
                  char_tokens.extend(snake_case      )
           return char_tokens
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           return self.vocab.get(snake_case		,self.vocab.get(self.unk_token      )      )
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           return self.decoder.get(snake_case      )
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case		,snake_case = None      ):



           '''simple docstring'''







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

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

           return (vocab_file,)


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


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

lowercase  :					Any						    =							{
    """uclanlp/visualbert-vqa""": """https://huggingface.co/uclanlp/visualbert-vqa/resolve/main/config.json""",
    """uclanlp/visualbert-vqa-pre""": """https://huggingface.co/uclanlp/visualbert-vqa-pre/resolve/main/config.json""",
    """uclanlp/visualbert-vqa-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-vqa-coco-pre/resolve/main/config.json"""
    ),
    """uclanlp/visualbert-vcr""": """https://huggingface.co/uclanlp/visualbert-vcr/resolve/main/config.json""",
    """uclanlp/visualbert-vcr-pre""": """https://huggingface.co/uclanlp/visualbert-vcr-pre/resolve/main/config.json""",
    """uclanlp/visualbert-vcr-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-vcr-coco-pre/resolve/main/config.json"""
    ),
    """uclanlp/visualbert-nlvr2""": """https://huggingface.co/uclanlp/visualbert-nlvr2/resolve/main/config.json""",
    """uclanlp/visualbert-nlvr2-pre""": """https://huggingface.co/uclanlp/visualbert-nlvr2-pre/resolve/main/config.json""",
    """uclanlp/visualbert-nlvr2-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-nlvr2-coco-pre/resolve/main/config.json"""
    )
    # See all VisualBERT models at https://huggingface.co/models?filter=visual_bert
}

class __snake_case		(      lowerCAmelCase     ):
    _a		:						Union[str, Any]=				"visual_bert"
    def __init__(  self		,snake_case=30522		,snake_case=768		,snake_case=512		,snake_case=12		,snake_case=12		,snake_case=3072		,snake_case="gelu"		,snake_case=0.1		,snake_case=0.1		,snake_case=512		,snake_case=2		,snake_case=0.02		,snake_case=1e-12		,snake_case=False		,snake_case=True		,snake_case=1		,snake_case=0		,snake_case=2		,**snake_case		,):



           '''simple docstring'''







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

           lowercase							:     Tuple       	=      vocab_size
           lowercase							:     int       	=      max_position_embeddings
           lowercase							:     Optional[Any]       	=      hidden_size
           lowercase							:     int       	=      visual_embedding_dim
           lowercase							:     Tuple       	=      num_hidden_layers
           lowercase							:     str       	=      num_attention_heads
           lowercase							:     Optional[Any]       	=      intermediate_size
           lowercase							:     str       	=      hidden_act
           lowercase							:     Tuple       	=      hidden_dropout_prob
           lowercase							:     List[Any]       	=      attention_probs_dropout_prob
           lowercase							:     Union[str, Any]       	=      initializer_range
           lowercase							:     int       	=      type_vocab_size
           lowercase							:     Union[str, Any]       	=      layer_norm_eps
           lowercase							:     Union[str, Any]       	=      bypass_transformer
           lowercase							:     int       	=      special_visual_initialize
