from collections import OrderedDict
from typing import List, Mapping

from packaging import version

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


_lowerCAmelCase       =		logging.get_logger(__name__)

_lowerCAmelCase       =		{
    "google/efficientnet-b7": "https://huggingface.co/google/efficientnet-b7/resolve/main/config.json",
}
class     lowerCAmelCase_     (       __lowercase ):
							UpperCAmelCase				   =     "efficientnet"







							def __init__(   self      :     List[str] ,			_A      :     int = 3 ,			_A      :     int = 600 ,			_A      :     float = 2.0 ,			_A      :     float = 3.1 ,			_A      :     int = 8 ,			_A      :     List[int] = [3, 3, 5, 3, 5, 5, 3] ,			_A      :     List[int] = [32, 16, 24, 40, 80, 112, 192] ,			_A      :     List[int] = [16, 24, 40, 80, 112, 192, 320] ,			_A      :     List[int] = [] ,			_A      :     List[int] = [1, 2, 2, 2, 1, 2, 1] ,			_A      :     List[int] = [1, 2, 2, 3, 3, 4, 1] ,			_A      :     List[int] = [1, 6, 6, 6, 6, 6, 6] ,			_A      :     float = 0.25 ,			_A      :     str = "swish" ,			_A      :     int = 2560 ,			_A      :     str = "mean" ,			_A      :     float = 0.02 ,			_A      :     float = 0.001 ,			_A      :     float = 0.99 ,			_A      :     float = 0.5 ,			_A      :     float = 0.2 ,			**_A      :     Dict ,			):
												super().__init__(**_A		)

												_UpperCamelCase			     =     num_channels
												_UpperCamelCase			     =     image_size
												_UpperCamelCase			     =     width_coefficient
												_UpperCamelCase			     =     depth_coefficient
												_UpperCamelCase			     =     depth_divisor
												_UpperCamelCase			     =     kernel_sizes
												_UpperCamelCase			     =     in_channels
												_UpperCamelCase			     =     out_channels
												_UpperCamelCase			     =     depthwise_padding
												_UpperCamelCase			     =     strides
												_UpperCamelCase			     =     num_block_repeats
												_UpperCamelCase			     =     expand_ratios
												_UpperCamelCase			     =     squeeze_expansion_ratio
												_UpperCamelCase			     =     hidden_act
												_UpperCamelCase			     =     hidden_dim
												_UpperCamelCase			     =     pooling_type
												_UpperCamelCase			     =     initializer_range
												_UpperCamelCase			     =     batch_norm_eps
												_UpperCamelCase			     =     batch_norm_momentum
												_UpperCamelCase			     =     dropout_rate
												_UpperCamelCase			     =     drop_connect_rate
												_UpperCamelCase			     =     sum(_A		) * 4




class     lowerCAmelCase_     (       __lowercase ):
							UpperCAmelCase				   =     version.parse("1.11" )







							@property
							def  UpperCamelCase_						(   self      :     Optional[int]		):
												return OrderedDict(
												    [
												        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
												    ]		)







							@property
							def  UpperCamelCase_						(   self      :     str		):
												return 1e-5








import heapq as hq
import math
from collections.abc import Iterator
class  _UpperCAmelCase   :

				"""simple docstring"""




				def __init__(	self		:       str,    lowerCamelCase		:       List[Any]    ):

								'''simple docstring'''
								lowercase__  					=     str(id_    )
								lowercase__  					=     None
								lowercase__  					=     None
								lowercase__  					=     []
								lowercase__  					=     {}  # {vertex:distance}




				def __lt__(	self		:       Dict,    lowerCamelCase		:       Tuple    ):

								'''simple docstring'''
								return self.key < other.key




				def __repr__(	self		:       Dict    ):

								'''simple docstring'''
								return self.id




				def 							lowercase__  (	self		:       str,    lowerCamelCase		:       List[str]    ):

								'''simple docstring'''
								self.neighbors.append(lowerCamelCase    )




				def 							lowercase__  (	self		:       Any,    lowerCamelCase		:       Dict,    lowerCamelCase		:       Optional[Any]    ):

								'''simple docstring'''
								lowercase__  					=     weight






def     a     (		lowerCamelCase_						,  lowerCamelCase_						,  lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				# add the neighbors:
				graph[a - 1].add_neighbor(graph[b - 1]							)
				graph[b - 1].add_neighbor(graph[a - 1]							)
				# add the edges:
				graph[a - 1].add_edge(graph[b - 1]						,  lowerCamelCase_							)
				graph[b - 1].add_edge(graph[a - 1]						,  lowerCamelCase_							)






def     a     (		lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     []
				for u in graph:
								lowercase__  					=     math.inf
								lowercase__  					=     None
				lowercase__  					=     0
				lowercase__  					=     graph[:]
				while q:
								lowercase__  					=     min(lowerCamelCase_							)
								q.remove(lowerCamelCase_							)
								for v in u.neighbors:
												if (v in q) and (u.edges[v.id] < v.key):
																lowercase__  					=     u
																lowercase__  					=     u.edges[v.id]
				for i in range(1						,  len(lowerCamelCase_							)							):
								a.append((int(graph[i].id							) + 1, int(graph[i].pi.id							) + 1)							)
				return a






def     a     (		lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				for u in graph:
								lowercase__  					=     math.inf
								lowercase__  					=     None
				lowercase__  					=     0

				lowercase__  					=     list(lowerCamelCase_							)
				hq.heapify(lowerCamelCase_							)

				while h:
								lowercase__  					=     hq.heappop(lowerCamelCase_							)
								for v in u.neighbors:
												if (v in h) and (u.edges[v.id] < v.key):
																lowercase__  					=     u
																lowercase__  					=     u.edges[v.id]
																hq.heapify(lowerCamelCase_							)

				for i in range(1						,  len(lowerCamelCase_							)							):
								yield (int(graph[i].id							) + 1, int(graph[i].pi.id							) + 1)






def     a     (		):






				'''simple docstring'''


if __name__ == "__main__":
							import doctest

							doctest.testmod()




