






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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCamelCase_	:				List[str]										= logging.get_logger(__name__)

UpperCamelCase_	:				Tuple										= {
    """microsoft/resnet-50""": """https://huggingface.co/microsoft/resnet-50/blob/main/config.json""",
}


class      _lowercase (     a__		,  a__						):
      _a   :     str								=   '''resnet'''
      _a   :     Any								=   ['''basic''', '''bottleneck''']


      def __init__(    self				:	Optional[Any]							,   a				:	List[Any]=3							,   a				:	str=6_4							,   a				:	str=[2_5_6, 5_1_2, 1_0_2_4, 2_0_4_8]							,   a				:	List[Any]=[3, 4, 6, 3]							,   a				:	int="bottleneck"							,   a				:	Optional[int]="relu"							,   a				:	List[Any]=False							,   a				:	Optional[int]=None							,   a				:	Union[str, Any]=None							,   **a				:	int							,   ):





            """simple docstring"""







            super().__init__(**_A						)
            if layer_type not in self.layer_types:
                  raise ValueError(f'''layer_type={layer_type} is not one of {",".join(self.layer_types						)}'''						)
            __snake_case      :    Dict  			=num_channels
            __snake_case      :    Optional[int]  			=embedding_size
            __snake_case      :    Optional[int]  			=hidden_sizes
            __snake_case      :    int  			=depths
            __snake_case      :    Optional[int]  			=layer_type
            __snake_case      :    Any  			=hidden_act
            __snake_case      :    Any  			=downsample_in_first_stage
            __snake_case      :    Union[str, Any]  			=['stem'] + [f'''stage{idx}''' for idx in range(1							,   len(_A						) + 1						)]
            __snake_case      :    Dict  			=get_aligned_output_features_output_indices(
                out_features=_A							,   out_indices=_A							,   stage_names=self.stage_names						)



class      _lowercase (     a__						):
      _a   :     Dict								=   version.parse('''1.11'''						)


      @property
      def _UpperCamelCase						(    self				:	Tuple						):





            """simple docstring"""







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







      @property
      def _UpperCamelCase						(    self				:	int						):





            """simple docstring"""







            return 1e-3










"""simple docstring"""





def     __lowercase					(    a :				str       ,		a :				str )					->					str:
      __snake_case      :    int  			=len(a )
      __snake_case      :    int  			=len(a )
      __snake_case      :    int  			=(
          first_str_length if first_str_length > second_str_length else second_str_length
      )
      __snake_case      :    list  			=[]
      for char_count in range(a ):
            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(a )


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


