
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


UpperCamelCase_  =	logging.get_logger(__name__)

UpperCamelCase_  =	{
    "apple/mobilevitv2-1.0": "https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json",
}

class     _SCREAMING_SNAKE_CASE							(		snake_case							):
				lowerCamelCase_       =     'mobilevitv2'





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


								"""simple docstring"""

								super().__init__(**snake_case_							)

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

								# decode head attributes for semantic segmentation
								A     :  Optional[Any]   =				aspp_out_channels
								A     :  Union[str, Any]   =				atrous_rates
								A     :  Any   =				aspp_dropout_prob
								A     :  Optional[int]   =				semantic_loss_ignore_index



class     _SCREAMING_SNAKE_CASE							(		snake_case							):
				lowerCamelCase_       =     version.parse('1.11'							)





				@property
				def        _UpperCAmelCase						(		self :		Optional[int]							):


								"""simple docstring"""

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





				@property
				def        _UpperCAmelCase						(		self :		Tuple							):


								"""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        _UpperCAmelCase						(		self :		List[str]							):


								"""simple docstring"""

								return 1E-4

UpperCamelCase_  =	{
    "0": 1,
    "1": 1,
    "2": 2,
    "3": 6,
    "4": 24,
    "5": 1_20,
    "6": 7_20,
    "7": 50_40,
    "8": 4_03_20,
    "9": 36_28_80,
}

UpperCamelCase_  =	{1_45: 1_45}

UpperCamelCase_  =	{
    1_45: 0,
    1_69: 3,
    3_63_01: 3,
    14_54: 3,
    8_71: 2,
    4_53_61: 2,
    8_72: 2,
}





def 							_lowerCamelCase			(					lowerCamelCase_:  int		):



				'''simple docstring'''







				if n in CACHE_SUM_DIGIT_FACTORIALS:
								return CACHE_SUM_DIGIT_FACTORIALS[n]
				A     :  Tuple   =				sum(DIGIT_FACTORIALS[let] for let in str(lowerCamelCase_		)		)
				A     :  Dict   =				ret
				return ret





def 							_lowerCamelCase			(					lowerCamelCase_:  int				,	lowerCamelCase_:  set | None = None		):



				'''simple docstring'''







				A     :  Optional[int]   =				previous or set()
				if n in CHAIN_LENGTH_CACHE:
								return CHAIN_LENGTH_CACHE[n]
				A     :  Dict   =				sum_digit_factorials(lowerCamelCase_		)
				if next_number in previous:
								A     :  Optional[int]   =				0
								return 0
				else:
								previous.add(lowerCamelCase_		)
								A     :  str   =				1 + chain_length(lowerCamelCase_				,	lowerCamelCase_		)
								A     :  Any   =				ret
								return ret





def 							_lowerCamelCase			(					lowerCamelCase_:  int = 60				,	lowerCamelCase_:  int = 100_0000		):



				'''simple docstring'''







				return sum(1 for i in range(1				,	lowerCamelCase_		) if chain_length(lowerCamelCase_		) == num_terms		)


if __name__ == "__main__":
					print(F'''{solution() = }''')