



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


snake_case     :    str						=    logging.get_logger(__name__)

snake_case     :    str						=    {
    'apple/mobilevitv2-1.0': 'https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json',
}




class 				lowerCAmelCase__	(						UpperCamelCase    ):
					__A  :     Union[str, Any]     =    'mobilevitv2'







					def __init__(							self   :  List[Any]      ,		_A   :  List[str]=3      ,		_A   :  int=256      ,		_A   :  Union[str, Any]=2      ,		_A   :  Union[str, Any]=2.0      ,		_A   :  Dict="swish"      ,		_A   :  List[str]=3      ,		_A   :  int=32      ,		_A   :  Union[str, Any]=0.1      ,		_A   :  int=0.02      ,		_A   :  str=1e-5      ,		_A   :  Dict=512      ,		_A   :  str=[6, 12, 18]      ,		_A   :  Optional[Any]=0.1      ,		_A   :  str=255      ,		_A   :  List[str]=[2, 4, 3]      ,		_A   :  Any=[128, 192, 256]      ,		_A   :  Union[str, Any]=1.0      ,		_A   :  Union[str, Any]=2      ,		_A   :  Any=0.0      ,		_A   :  str=0.0      ,		**_A   :  int      ,		):
											super().__init__(**_A)

											A__						:				List[Any]         =			num_channels
											A__						:				Optional[Any]         =			image_size
											A__						:				int         =			patch_size
											A__						:				str         =			expand_ratio
											A__						:				Union[str, Any]         =			hidden_act
											A__						:				List[str]         =			conv_kernel_size
											A__						:				List[Any]         =			output_stride
											A__						:				Dict         =			initializer_range
											A__						:				Optional[Any]         =			layer_norm_eps
											A__						:				Tuple         =			n_attn_blocks
											A__						:				List[Any]         =			base_attn_unit_dims
											A__						:				Tuple         =			width_multiplier
											A__						:				Dict         =			ffn_multiplier
											A__						:				Dict         =			ffn_dropout
											A__						:				int         =			attn_dropout
											A__						:				List[Any]         =			classifier_dropout_prob

											# decode head attributes for semantic segmentation
											A__						:				Dict         =			aspp_out_channels
											A__						:				List[Any]         =			atrous_rates
											A__						:				Optional[int]         =			aspp_dropout_prob
											A__						:				Dict         =			semantic_loss_ignore_index




class 				lowerCAmelCase__	(						UpperCamelCase    ):
					__A  :     Dict     =    version.parse('1.11'    )







					@property
					def 			_lowercase      (							self   :  Union[str, Any]):
											return OrderedDict([("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"})])







					@property
					def 			_lowercase      (							self   :  Dict):
											if self.task == "image-classification":
																	return OrderedDict([("logits", {0: "batch"})])
											else:
																	return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})])







					@property
					def 			_lowercase      (							self   :  List[Any]):
											return 1e-4




class 				lowerCAmelCase__	:







					def __init__(							self   :  Union[str, Any]):
											A__						:				Optional[int]         =			[0]
											A__						:				Any         =			0







					def 			_lowercase      (							self   :  Optional[int]      ,		_A   :  int):
											A__						:				Optional[Any]         =			self.__heap[i]
											while i // 2 > 0:
																	if self.__heap[i] > self.__heap[i // 2]:
																							A__						:				Union[str, Any]         =			self.__heap[i // 2]
																							A__						:				List[str]         =			temporary
																	i //= 2







					def 			_lowercase      (							self   :  Union[str, Any]      ,		_A   :  int):
											self.__heap.append(_A)
											self.__size += 1
											self.__swap_up(self.__size)







					def 			_lowercase      (							self   :  Any      ,		_A   :  int):
											while self.__size >= 2 * i:
																	if 2 * i + 1 > self.__size:
																							A__						:				str         =			2 * i
																	else:
																							if self.__heap[2 * i] > self.__heap[2 * i + 1]:
																													A__						:				Tuple         =			2 * i
																							else:
																													A__						:				Tuple         =			2 * i + 1
																	A__						:				Any         =			self.__heap[i]
																	if self.__heap[i] < self.__heap[bigger_child]:
																							A__						:				List[str]         =			self.__heap[bigger_child]
																							A__						:				Tuple         =			temporary
																	A__						:				Tuple         =			bigger_child







					def 			_lowercase      (							self   :  int):
											A__						:				str         =			self.__heap[1]
											A__						:				Tuple         =			self.__heap[self.__size]
											self.__size -= 1
											self.__heap.pop()
											self.__swap_down(1)
											return max_value







					@property
					def 			_lowercase      (							self   :  Any):
											return self.__heap[1:]







					def __len__(							self   :  Union[str, Any]):
											return self.__size


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		# create an instance of BinaryHeap
		snake_case     :    List[Any]						=    BinaryHeap()
		binary_heap.insert(6)
		binary_heap.insert(1_0)
		binary_heap.insert(1_5)
		binary_heap.insert(1_2)
		# pop root(max-values because it is max heap)
		print(binary_heap.pop())  # 15
		print(binary_heap.pop())  # 12
		# get the list and size after operations
		print(binary_heap.get_list)
		print(len(binary_heap))