

'''simple docstring'''

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


lowercase__         =      logging.get_logger(__name__)

lowercase__         =      {
    "facebook/levit-128S": "https://huggingface.co/facebook/levit-128S/resolve/main/config.json",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}




class 	A_			(    _snake_case							):






     '''simple docstring'''



     UpperCAmelCase_						:     Tuple  		=  """levit"""


     def __init__(		self			:					List[str]					,      lowercase_			:					Optional[Any]=224					,      lowercase_			:					int=3					,      lowercase_			:					str=3					,      lowercase_			:					Optional[int]=2					,      lowercase_			:					Any=1					,      lowercase_			:					Optional[Any]=16					,      lowercase_			:					Tuple=[128, 256, 384]					,      lowercase_			:					Any=[4, 8, 12]					,      lowercase_			:					Any=[4, 4, 4]					,      lowercase_			:					List[Any]=[16, 16, 16]					,      lowercase_			:					Any=0					,      lowercase_			:					int=[2, 2, 2]					,      lowercase_			:					Tuple=[2, 2, 2]					,      lowercase_			:					Dict=0.02					,      **lowercase_			:					Any					,      )						->     Dict:
      super().__init__(**lowercase_	)
      UpperCAmelCase	:     Dict						 =			image_size
      UpperCAmelCase	:     int						 =			num_channels
      UpperCAmelCase	:     List[str]						 =			kernel_size
      UpperCAmelCase	:     Any						 =			stride
      UpperCAmelCase	:     str						 =			padding
      UpperCAmelCase	:     Any						 =			hidden_sizes
      UpperCAmelCase	:     Dict						 =			num_attention_heads
      UpperCAmelCase	:     List[str]						 =			depths
      UpperCAmelCase	:     str						 =			key_dim
      UpperCAmelCase	:     str						 =			drop_path_rate
      UpperCAmelCase	:     List[Any]						 =			patch_size
      UpperCAmelCase	:     Union[str, Any]						 =			attention_ratio
      UpperCAmelCase	:     Any						 =			mlp_ratio
      UpperCAmelCase	:     Union[str, Any]						 =			initializer_range
      UpperCAmelCase	:     List[Any]						 =			[
          ['Subsample', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
          ['Subsample', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
      ]




class 	A_			(    _snake_case							):






     '''simple docstring'''



     UpperCAmelCase_						:     Optional[Any]  		=  version.parse("""1.11"""							)


     @property
     def        UpperCAmelCase_	(		self			:					str	)						->     Mapping[str, Mapping[int, str]]:
      return OrderedDict(
          [
              ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
          ]	)




     @property
     def        UpperCAmelCase_	(		self			:					Optional[int]	)						->     float:
      return 1E-4







'''simple docstring'''

def 				UpperCamelCase(					UpperCAmelCase_  ,	UpperCAmelCase_     ):
 UpperCAmelCase	:     int						 =			len(UpperCAmelCase_     )
 UpperCAmelCase	:     int						 =			len(UpperCAmelCase_     )
 UpperCAmelCase	:     int						 =			(
     first_str_length if first_str_length > second_str_length else second_str_length
 )
 UpperCAmelCase	:     list						 =			[]
 for char_count in range(UpperCAmelCase_     ):
  if char_count < first_str_length:
   output_list.append(first_str[char_count]     )
  if char_count < second_str_length:
   output_list.append(second_str[char_count]     )
 return "".join(UpperCAmelCase_     )


if __name__ == "__main__":
 print(alternative_string_arrange("AB", "XYZ"), end=" ")




