




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				(						lowerCamelCase    ):
					_lowerCamelCase						    =					"""mobilevitv2"""

					def __init__(							self					,			__lowercase=3					,			__lowercase=256					,			__lowercase=2					,			__lowercase=2.0					,			__lowercase="swish"					,			__lowercase=3					,			__lowercase=32					,			__lowercase=0.1					,			__lowercase=0.02					,			__lowercase=1E-5					,			__lowercase=512					,			__lowercase=[6, 12, 18]					,			__lowercase=0.1					,			__lowercase=255					,			__lowercase=[2, 4, 3]					,			__lowercase=[128, 192, 256]					,			__lowercase=1.0					,			__lowercase=2					,			__lowercase=0.0					,			__lowercase=0.0					,			**__lowercase					,			):







						'''simple docstring'''




						super().__init__(**__lowercase   )

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

						# decode head attributes for semantic segmentation
						lowerCamelCase_				:						Tuple				  =				aspp_out_channels
						lowerCamelCase_				:						Dict				  =				atrous_rates
						lowerCamelCase_				:						Optional[Any]				  =				aspp_dropout_prob
						lowerCamelCase_				:						Tuple				  =				semantic_loss_ignore_index


class 							__SCREAMING_SNAKE_CASE				(						lowerCamelCase    ):
					_lowerCamelCase						    =					version.parse("""1.11"""    )

					@property
					def       lowercase_				(							self   ):







						'''simple docstring'''




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

					@property
					def       lowercase_				(							self   ):







						'''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       lowercase_				(							self   ):







						'''simple docstring'''




						return 1E-4



"""simple docstring"""
import math







def       UpperCamelCase_					(     lowerCamelCase							:					int   )						->     list:



       """simple docstring"""







       if n <= 0:
              raise ValueError('''Only positive integers have prime factors'''   )
       __magic_name__			:		Union[str, Any]        =     []
       while n % 2 == 0:
              pf.append(2   )
              __magic_name__			:		Union[str, Any]        =     int(n / 2   )
       for i in range(3     , int(math.sqrt(lowerCamelCase   )   ) + 1     , 2   ):
              while n % i == 0:
                     pf.append(lowerCamelCase   )
                     __magic_name__			:		Any        =     int(n / i   )
       if n > 2:
              pf.append(lowerCamelCase   )
       return pf







def       UpperCamelCase_					(     lowerCamelCase							:					int   )						->     int:



       """simple docstring"""







       if n <= 0:
              raise ValueError('''Only positive numbers are accepted'''   )
       __magic_name__			:		List[Any]        =     1
       __magic_name__			:		Dict        =     1
       while n % 2 == 0:
              temp += 1
              __magic_name__			:		Dict        =     int(n / 2   )
       div *= temp
       for i in range(3     , int(math.sqrt(lowerCamelCase   )   ) + 1     , 2   ):
              __magic_name__			:		Dict        =     1
              while n % i == 0:
                     temp += 1
                     __magic_name__			:		Union[str, Any]        =     int(n / i   )
              div *= temp
       if n > 1:
              div *= 2
       return div







def       UpperCamelCase_					(     lowerCamelCase							:					int   )						->     int:



       """simple docstring"""







       if n <= 0:
              raise ValueError('''Only positive numbers are accepted'''   )
       __magic_name__			:		int        =     1
       __magic_name__			:		Dict        =     1
       while n % 2 == 0:
              temp += 1
              __magic_name__			:		List[Any]        =     int(n / 2   )
       if temp > 1:
              s *= (2**temp - 1) / (2 - 1)
       for i in range(3     , int(math.sqrt(lowerCamelCase   )   ) + 1     , 2   ):
              __magic_name__			:		Any        =     1
              while n % i == 0:
                     temp += 1
                     __magic_name__			:		Any        =     int(n / i   )
              if temp > 1:
                     s *= (i**temp - 1) / (i - 1)
       return int(lowerCamelCase   )







def       UpperCamelCase_					(     lowerCamelCase							:					int   )						->     int:



       """simple docstring"""







       __magic_name__			:		str        =     n
       for x in set(prime_factors(lowerCamelCase   )   ):
              s *= (x - 1) / x
       return int(lowerCamelCase   )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
