





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


lowerCAmelCase:	Dict							      =logging.get_logger(__name__)

lowerCAmelCase:	Union[str, Any]							      ={
    '''apple/mobilevitv2-1.0''': '''https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json''',
}
class lowerCamelCase__  (    __UpperCamelCase				):
   __UpperCAmelCase        =					"mobilevitv2"



   def __init__(       self      ,   snake_case=3      ,   snake_case=2_5_6      ,   snake_case=2      ,   snake_case=2.0      ,   snake_case="swish"      ,   snake_case=3      ,   snake_case=3_2      ,   snake_case=0.1      ,   snake_case=0.02      ,   snake_case=1E-5      ,   snake_case=5_1_2      ,   snake_case=[6, 1_2, 1_8]      ,   snake_case=0.1      ,   snake_case=2_5_5      ,   snake_case=[2, 4, 3]      ,   snake_case=[1_2_8, 1_9_2, 2_5_6]      ,   snake_case=1.0      ,   snake_case=2      ,   snake_case=0.0      ,   snake_case=0.0      ,   **snake_case      ,   ) ->    Optional[int]:







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

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

      # decode head attributes for semantic segmentation
      lowercase    :			str  =       aspp_out_channels
      lowercase    :			Dict  =       atrous_rates
      lowercase    :			str  =       aspp_dropout_prob
      lowercase    :			str  =       semantic_loss_ignore_index




class lowerCamelCase__  (    __UpperCamelCase				):
   __UpperCAmelCase        =					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	) ->    List[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    _UpperCAmelCase	(       self	) ->    Dict:







      """simple docstring"""
      return 1E-4









"""simple docstring"""
import math




def 			__snake_case						(      __A    )		->				float:
   lowercase    :			List[Any]  =       math.log(2 ,10    ) * number
   lowercase    :			Tuple  =       round((log_number - int(__A    )) ,15    )

   return difference




def 			__snake_case						(      __A = 678910    )		->				int:
   lowercase    :			Any  =       90
   lowercase    :			Optional[Any]  =       0

   lowercase    :			List[str]  =       math.log(1.23 ,10    )
   lowercase    :			str  =       math.log(1.24 ,10    )
   lowercase    :			str  =       0

   while position < number:
      lowercase    :			Optional[Any]  =       log_difference(__A    )

      if difference >= upper_limit:
         power_iterator += 93

      elif difference < lower_limit:
         power_iterator += 196

      else:
         lowercase    :			List[Any]  =       power_iterator
         power_iterator += 196
         position += 1

   return previous_power


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   print(F'{solution() = }')


