"""simple docstring"""




# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

_a				:		Union[str, Any]	   =       TypeVar('T')
class 						__A							(			Generic[T]		):






     def __init__(		self    ,					a__ = True  ):
       _lowerCAmelCase						:	dict[T, list[T]]        =					{}  # dictionary of lists
       _lowerCAmelCase						:	List[Any]        =					directed






     def    __A  (		self    ,					a__    ,					a__  ):

       if not self.directed:  # For undirected graphs
         # if both source vertex and destination vertex are both present in the
         # adjacency list, add destination vertex to source vertex list of adjacent
         # vertices and add source vertex to destination vertex list of adjacent
         # vertices.
         if source_vertex in self.adj_list and destination_vertex in self.adj_list:
           self.adj_list[source_vertex].append(a__  )
           self.adj_list[destination_vertex].append(a__  )
         # if only source vertex is present in adjacency list, add destination vertex
         # to source vertex list of adjacent vertices, then create a new vertex with
         # destination vertex as key and assign a list containing the source vertex
         # as it's first adjacent vertex.
         elif source_vertex in self.adj_list:
           self.adj_list[source_vertex].append(a__  )
           _lowerCAmelCase						:	int        =					[source_vertex]
         # if only destination vertex is present in adjacency list, add source vertex
         # to destination vertex list of adjacent vertices, then create a new vertex
         # with source vertex as key and assign a list containing the source vertex
         # as it's first adjacent vertex.
         elif destination_vertex in self.adj_list:
           self.adj_list[destination_vertex].append(a__  )
           _lowerCAmelCase						:	Union[str, Any]        =					[destination_vertex]
         # if both source vertex and destination vertex are not present in adjacency
         # list, create a new vertex with source vertex as key and assign a list
         # containing the destination vertex as it's first adjacent vertex also
         # create a new vertex with destination vertex as key and assign a list
         # containing the source vertex as it's first adjacent vertex.
         else:
           _lowerCAmelCase						:	Optional[Any]        =					[destination_vertex]
           _lowerCAmelCase						:	str        =					[source_vertex]
       else:  # For directed graphs
         # if both source vertex and destination vertex are present in adjacency
         # list, add destination vertex to source vertex list of adjacent vertices.
         if source_vertex in self.adj_list and destination_vertex in self.adj_list:
           self.adj_list[source_vertex].append(a__  )
         # if only source vertex is present in adjacency list, add destination
         # vertex to source vertex list of adjacent vertices and create a new vertex
         # with destination vertex as key, which has no adjacent vertex
         elif source_vertex in self.adj_list:
           self.adj_list[source_vertex].append(a__  )
           _lowerCAmelCase						:	Union[str, Any]        =					[]
         # if only destination vertex is present in adjacency list, create a new
         # vertex with source vertex as key and assign a list containing destination
         # vertex as first adjacent vertex
         elif destination_vertex in self.adj_list:
           _lowerCAmelCase						:	Optional[Any]        =					[destination_vertex]
         # if both source vertex and destination vertex are not present in adjacency
         # list, create a new vertex with source vertex as key and a list containing
         # destination vertex as it's first adjacent vertex. Then create a new vertex
         # with destination vertex as key, which has no adjacent vertex
         else:
           _lowerCAmelCase						:	Union[str, Any]        =					[destination_vertex]
           _lowerCAmelCase						:	str        =					[]

       return self






     def __repr__(		self  ):
       return pformat(self.adj_list  )





"""simple docstring"""




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


_a				:		Any	   =       logging.get_logger(__name__)

_a				:		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 						__A							(			SCREAMING_SNAKE_CASE_		):
     _UpperCamelCase							:      List[Any]		 =		"visual_bert"






     def __init__(		self    ,					a__=30522    ,					a__=768    ,					a__=512    ,					a__=12    ,					a__=12    ,					a__=3072    ,					a__="gelu"    ,					a__=0.1    ,					a__=0.1    ,					a__=512    ,					a__=2    ,					a__=0.0_2    ,					a__=1e-12    ,					a__=False    ,					a__=True    ,					a__=1    ,					a__=0    ,					a__=2    ,					**a__    ,					):
       super().__init__(pad_token_id=a__    ,					bos_token_id=a__    ,					eos_token_id=a__    ,					**a__  )

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




