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[Any]     						=							logging.get_logger(__name__)

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

class 						_SCREAMING_SNAKE_CASE				(  _lowercase				):






		"""simple docstring"""







		A_    			=   '''mobilevitv2'''



		def __init__(      self     :					Optional[int]	,       __SCREAMING_SNAKE_CASE     :					Any=3	,       __SCREAMING_SNAKE_CASE     :					Tuple=256	,       __SCREAMING_SNAKE_CASE     :					str=2	,       __SCREAMING_SNAKE_CASE     :					List[Any]=2.0	,       __SCREAMING_SNAKE_CASE     :					List[str]="swish"	,       __SCREAMING_SNAKE_CASE     :					str=3	,       __SCREAMING_SNAKE_CASE     :					Tuple=32	,       __SCREAMING_SNAKE_CASE     :					List[str]=0.1	,       __SCREAMING_SNAKE_CASE     :					Dict=0.0_2	,       __SCREAMING_SNAKE_CASE     :					Union[str, Any]=1e-5	,       __SCREAMING_SNAKE_CASE     :					Dict=512	,       __SCREAMING_SNAKE_CASE     :					Optional[int]=[6, 12, 18]	,       __SCREAMING_SNAKE_CASE     :					Optional[int]=0.1	,       __SCREAMING_SNAKE_CASE     :					Optional[int]=255	,       __SCREAMING_SNAKE_CASE     :					List[str]=[2, 4, 3]	,       __SCREAMING_SNAKE_CASE     :					Any=[128, 192, 256]	,       __SCREAMING_SNAKE_CASE     :					Any=1.0	,       __SCREAMING_SNAKE_CASE     :					List[str]=2	,       __SCREAMING_SNAKE_CASE     :					int=0.0	,       __SCREAMING_SNAKE_CASE     :					List[str]=0.0	,       **__SCREAMING_SNAKE_CASE     :					Any	,       ):






					"""simple docstring"""
					super().__init__(**__SCREAMING_SNAKE_CASE )

					_snake_case														=   num_channels
					_snake_case														=   image_size
					_snake_case														=   patch_size
					_snake_case														=   expand_ratio
					_snake_case														=   hidden_act
					_snake_case														=   conv_kernel_size
					_snake_case														=   output_stride
					_snake_case														=   initializer_range
					_snake_case														=   layer_norm_eps
					_snake_case														=   n_attn_blocks
					_snake_case														=   base_attn_unit_dims
					_snake_case														=   width_multiplier
					_snake_case														=   ffn_multiplier
					_snake_case														=   ffn_dropout
					_snake_case														=   attn_dropout
					_snake_case														=   classifier_dropout_prob

					# decode head attributes for semantic segmentation
					_snake_case														=   aspp_out_channels
					_snake_case														=   atrous_rates
					_snake_case														=   aspp_dropout_prob
					_snake_case														=   semantic_loss_ignore_index

class 						_SCREAMING_SNAKE_CASE				(  _lowercase				):






		"""simple docstring"""







		A_    			=   version.parse('''1.11'''				)



		@property
		def 					_a					(      self     :					int ):






					"""simple docstring"""
					return OrderedDict([("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"})] )



		@property
		def 					_a					(      self     :					Optional[Any] ):






					"""simple docstring"""
					if self.task == "image-classification":
								return OrderedDict([("logits", {0: "batch"})] )
					else:
								return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})] )







		@property
		def 					_a					(      self     :					str ):






					"""simple docstring"""
					return 1e-4


from __future__ import annotations

# Define the Gravitational Constant G and the function
_SCREAMING_SNAKE_CASE:    int     						=							6.6_743e-11  # unit of G : m^3 * kg^-1 * s^-2






def  UpperCAmelCase__(    lowerCamelCase_				,						lowerCamelCase_				,						lowerCamelCase_				,						lowerCamelCase_	):



			"""simple docstring"""





			_snake_case														=   mass_a * mass_a

			if (force, mass_a, mass_a, distance).count(0	) != 1:
						raise ValueError("One and only one argument must be 0"	)
			if force < 0:
						raise ValueError("Gravitational force can not be negative"	)
			if distance < 0:
						raise ValueError("Distance can not be negative"	)
			if mass_a < 0 or mass_a < 0:
						raise ValueError("Mass can not be negative"	)
			if force == 0:
						_snake_case														=   GRAVITATIONAL_CONSTANT * product_of_mass / (distance**2)
						return {"force": force}
			elif mass_a == 0:
						_snake_case														=   (force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
						return {"mass_1": mass_a}
			elif mass_a == 0:
						_snake_case														=   (force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
						return {"mass_2": mass_a}
			elif distance == 0:
						_snake_case														=   (GRAVITATIONAL_CONSTANT * product_of_mass / (force)) ** 0.5
						return {"distance": distance}
			raise ValueError("One and only one argument must be 0"	)


# Run doctest
if __name__ == "__main__":
			import doctest

			doctest.testmod()

