




"""simple docstring"""







from queue import PriorityQueue
from typing import Any

import numpy as np

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  )			->float | int:






		"""simple docstring"""


		for nxt, d in graph[v]:
				if nxt in visited_forward:
						continue
				__lowercase				:		List[Any]												=				cst_fwd.get(_lowerCamelCase,  np.inf				)
				__lowercase				:		List[Any]												=				cst_fwd[v] + d
				if new_cost_f < old_cost_f:
						queue.put((new_cost_f, nxt)				)
						__lowercase				:		Optional[int]												=				new_cost_f
						__lowercase				:		List[str]												=				v
				if nxt in visited_backward:
						if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
								__lowercase				:		List[Any]												=				cst_fwd[v] + d + cst_bwd[nxt]
		return shortest_distance

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase				)			->int:






		"""simple docstring"""


		__lowercase				:		List[str]												=				-1

		__lowercase				:		Union[str, Any]												=				set()
		__lowercase				:		Optional[Any]												=				set()
		__lowercase				:		int												=				{source: 0}
		__lowercase				:		Optional[int]												=				{destination: 0}
		__lowercase				:		List[str]												=				{source: None}
		__lowercase				:		Optional[int]												=				{destination: None}
		__lowercase				:		PriorityQueue[Any]												=				PriorityQueue()
		__lowercase				:		PriorityQueue[Any]												=				PriorityQueue()

		__lowercase				:		List[str]												=				np.inf

		queue_forward.put((0, source)				)
		queue_backward.put((0, destination)				)

		if source == destination:
				return 0

		while not queue_forward.empty() and not queue_backward.empty():
				__lowercase				:		Optional[int]												=				queue_forward.get()
				visited_forward.add(_lowerCamelCase				)

				__lowercase				:		Union[str, Any]												=				queue_backward.get()
				visited_backward.add(_lowerCamelCase				)

				__lowercase				:		List[Any]												=				pass_and_relaxation(
				    _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  )

				__lowercase				:		str												=				pass_and_relaxation(
				    _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase,  )

				if cst_fwd[v_fwd] + cst_bwd[v_bwd] >= shortest_distance:
						break

		if shortest_distance != np.inf:
				__lowercase				:		List[str]												=				shortest_distance
		return shortest_path_distance


__A   :  Tuple					=      {
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['G', 2]],
    'F': [],
    'G': [['F', 1]],
}
__A   :  Any					=      {
    'B': [['E', 1]],
    'C': [['B', 1]],
    'D': [['C', 1]],
    'F': [['D', 1], ['G', 1]],
    'E': [[None, np.inf]],
    'G': [['E', 2]],
}

if __name__ == "__main__":
						import doctest

						doctest.testmod()










"""simple docstring"""







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


__A   :  str					=      logging.get_logger(__name__)

__A   :  str					=      {
    '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       lowerCAmelCase__       (			lowerCAmelCase_    ):


				"""simple docstring"""





				__UpperCAmelCase :     Tuple       =      "visual_bert"



				def __init__(     self					:	List[Any]    ,   lowercase__					:	Dict=3_0_5_2_2    ,   lowercase__					:	Any=7_6_8    ,   lowercase__					:	Dict=5_1_2    ,   lowercase__					:	Tuple=1_2    ,   lowercase__					:	Any=1_2    ,   lowercase__					:	Union[str, Any]=3_0_7_2    ,   lowercase__					:	Tuple="gelu"    ,   lowercase__					:	Dict=0.1    ,   lowercase__					:	Tuple=0.1    ,   lowercase__					:	str=5_1_2    ,   lowercase__					:	str=2    ,   lowercase__					:	Any=0.0_2    ,   lowercase__					:	Any=1e-12    ,   lowercase__					:	Any=False    ,   lowercase__					:	List[str]=True    ,   lowercase__					:	Dict=1    ,   lowercase__					:	List[Any]=0    ,   lowercase__					:	Tuple=2    ,   **lowercase__					:	Any    ,   ):
						super().__init__(pad_token_id=lowercase__    ,   bos_token_id=lowercase__    ,   eos_token_id=lowercase__    ,   **lowercase__						)

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