
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__   :			Optional[int]												=    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   :			Optional[Any]												=    {
    "facebook/data2vec-vision-base-ft": (
        "https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json"
    ),
}

class    lowerCAmelCase__     (	__lowercase			):
		a__       :						Optional[Any]        =		"""data2vec-vision"""






		def __init__(		self		:							Optional[Any]							,			SCREAMING_SNAKE_CASE__		:							Optional[int]=7_68							,			SCREAMING_SNAKE_CASE__		:							Optional[Any]=12							,			SCREAMING_SNAKE_CASE__		:							Optional[Any]=12							,			SCREAMING_SNAKE_CASE__		:							Any=30_72							,			SCREAMING_SNAKE_CASE__		:							Tuple="gelu"							,			SCREAMING_SNAKE_CASE__		:							List[str]=0.0							,			SCREAMING_SNAKE_CASE__		:							Dict=0.0							,			SCREAMING_SNAKE_CASE__		:							List[Any]=0.02							,			SCREAMING_SNAKE_CASE__		:							Optional[Any]=1e-12							,			SCREAMING_SNAKE_CASE__		:							str=2_24							,			SCREAMING_SNAKE_CASE__		:							Tuple=16							,			SCREAMING_SNAKE_CASE__		:							Optional[Any]=3							,			SCREAMING_SNAKE_CASE__		:							Any=False							,			SCREAMING_SNAKE_CASE__		:							Tuple=False							,			SCREAMING_SNAKE_CASE__		:							Dict=False							,			SCREAMING_SNAKE_CASE__		:							Dict=False							,			SCREAMING_SNAKE_CASE__		:							List[str]=0.1							,			SCREAMING_SNAKE_CASE__		:							int=0.1							,			SCREAMING_SNAKE_CASE__		:							List[Any]=True							,			SCREAMING_SNAKE_CASE__		:							int=[3, 5, 7, 11]							,			SCREAMING_SNAKE_CASE__		:							str=[1, 2, 3, 6]							,			SCREAMING_SNAKE_CASE__		:							List[Any]=True							,			SCREAMING_SNAKE_CASE__		:							List[Any]=0.4							,			SCREAMING_SNAKE_CASE__		:							Optional[int]=2_56							,			SCREAMING_SNAKE_CASE__		:							Tuple=1							,			SCREAMING_SNAKE_CASE__		:							Any=False							,			SCREAMING_SNAKE_CASE__		:							Union[str, Any]=2_55							,			**SCREAMING_SNAKE_CASE__		:							Tuple							,			)     ->							Optional[int]:
						super().__init__(**SCREAMING_SNAKE_CASE__  )

						__lowerCamelCase    					=	hidden_size
						__lowerCamelCase    					=	num_hidden_layers
						__lowerCamelCase    					=	num_attention_heads
						__lowerCamelCase    					=	intermediate_size
						__lowerCamelCase    					=	hidden_act
						__lowerCamelCase    					=	hidden_dropout_prob
						__lowerCamelCase    					=	attention_probs_dropout_prob
						__lowerCamelCase    					=	initializer_range
						__lowerCamelCase    					=	layer_norm_eps

						__lowerCamelCase    					=	image_size
						__lowerCamelCase    					=	patch_size
						__lowerCamelCase    					=	num_channels
						__lowerCamelCase    					=	use_mask_token
						__lowerCamelCase    					=	use_absolute_position_embeddings
						__lowerCamelCase    					=	use_relative_position_bias
						__lowerCamelCase    					=	use_shared_relative_position_bias
						__lowerCamelCase    					=	layer_scale_init_value
						__lowerCamelCase    					=	drop_path_rate
						__lowerCamelCase    					=	use_mean_pooling
						# decode head attributes (semantic segmentation)
						__lowerCamelCase    					=	out_indices
						__lowerCamelCase    					=	pool_scales
						# auxiliary head attributes (semantic segmentation)
						__lowerCamelCase    					=	use_auxiliary_head
						__lowerCamelCase    					=	auxiliary_loss_weight
						__lowerCamelCase    					=	auxiliary_channels
						__lowerCamelCase    					=	auxiliary_num_convs
						__lowerCamelCase    					=	auxiliary_concat_input
						__lowerCamelCase    					=	semantic_loss_ignore_index





class    lowerCAmelCase__     (	__lowercase			):
		a__       :						str        =		version.parse("""1.11"""			)






		@property
		def  __A       (		self		:							List[Any]  )     ->							Mapping[str, Mapping[int, str]]:
						return OrderedDict(
						    [
						        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
						    ]  )







		@property
		def  __A       (		self		:							List[str]  )     ->							float:
						return 1e-4





from queue import PriorityQueue
from typing import Any

import numpy as np




def  __magic_name__ (   __lowerCAmelCase	:						dict		,  __lowerCAmelCase	:						str		,  __lowerCAmelCase	:						set		,  __lowerCAmelCase	:						set		,  __lowerCAmelCase	:						dict		,  __lowerCAmelCase	:						dict		,  __lowerCAmelCase	:						PriorityQueue		,  __lowerCAmelCase	:						dict		,  __lowerCAmelCase	:						float | int		,  )			->   float | int:
				for nxt, d in graph[v]:
								if nxt in visited_forward:
												continue
								__lowerCamelCase    					=	cst_fwd.get(__lowerCAmelCase		,  np.inf							)
								__lowerCamelCase    					=	cst_fwd[v] + d
								if new_cost_f < old_cost_f:
												queue.put((new_cost_f, nxt)							)
												__lowerCamelCase    					=	new_cost_f
												__lowerCamelCase    					=	v
								if nxt in visited_backward:
												if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
																__lowerCamelCase    					=	cst_fwd[v] + d + cst_bwd[nxt]
				return shortest_distance




def  __magic_name__ (   __lowerCAmelCase	:						str		,  __lowerCAmelCase	:						str		,  __lowerCAmelCase	:						dict		,  __lowerCAmelCase	:						dict							)			->   int:
				__lowerCamelCase    					=	-1

				__lowerCamelCase    					=	set()
				__lowerCamelCase    					=	set()
				__lowerCamelCase    					=	{source: 0}
				__lowerCamelCase    					=	{destination: 0}
				__lowerCamelCase    					=	{source: None}
				__lowerCamelCase    					=	{destination: None}
				__lowerCamelCase    					=	PriorityQueue()
				__lowerCamelCase    					=	PriorityQueue()

				__lowerCamelCase    					=	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():
								__lowerCamelCase					,    __lowerCamelCase    					=	queue_forward.get()
								visited_forward.add(__lowerCAmelCase							)

								__lowerCamelCase					,    __lowerCamelCase    					=	queue_backward.get()
								visited_backward.add(__lowerCAmelCase							)

								__lowerCamelCase    					=	pass_and_relaxation(
								    __lowerCAmelCase		,  __lowerCAmelCase		,  __lowerCAmelCase		,  __lowerCAmelCase		,  __lowerCAmelCase		,  __lowerCAmelCase		,  __lowerCAmelCase		,  __lowerCAmelCase		,  __lowerCAmelCase		,  )

								__lowerCamelCase    					=	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:
								__lowerCamelCase    					=	shortest_distance
				return shortest_path_distance


SCREAMING_SNAKE_CASE__   :			List[Any]												=    {
    "B": [["C", 1]],
    "C": [["D", 1]],
    "D": [["F", 1]],
    "E": [["B", 1], ["G", 2]],
    "F": [],
    "G": [["F", 1]],
}
SCREAMING_SNAKE_CASE__   :			Optional[int]												=    {
    "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()



