



"""simple docstring"""







from collections import OrderedDict
from typing import List, Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase__		:    Union[str, Any]				   =     logging.get_logger(__name__)

lowercase__		:    Any				   =     {
    """google/efficientnet-b7""": """https://huggingface.co/google/efficientnet-b7/resolve/main/config.json""",
}







class 				UpperCamelCase__       (     lowercase_  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE      =					"""efficientnet"""



      def __init__(				self    :				List[Any]   ,      SCREAMING_SNAKE_CASE_    :				int = 3   ,      SCREAMING_SNAKE_CASE_    :				int = 6_0_0   ,      SCREAMING_SNAKE_CASE_    :				float = 2.0   ,      SCREAMING_SNAKE_CASE_    :				float = 3.1   ,      SCREAMING_SNAKE_CASE_    :				int = 8   ,      SCREAMING_SNAKE_CASE_    :				List[int] = [3, 3, 5, 3, 5, 5, 3]   ,      SCREAMING_SNAKE_CASE_    :				List[int] = [3_2, 1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2]   ,      SCREAMING_SNAKE_CASE_    :				List[int] = [1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2, 3_2_0]   ,      SCREAMING_SNAKE_CASE_    :				List[int] = []   ,      SCREAMING_SNAKE_CASE_    :				List[int] = [1, 2, 2, 2, 1, 2, 1]   ,      SCREAMING_SNAKE_CASE_    :				List[int] = [1, 2, 2, 3, 3, 4, 1]   ,      SCREAMING_SNAKE_CASE_    :				List[int] = [1, 6, 6, 6, 6, 6, 6]   ,      SCREAMING_SNAKE_CASE_    :				float = 0.25   ,      SCREAMING_SNAKE_CASE_    :				str = "swish"   ,      SCREAMING_SNAKE_CASE_    :				int = 2_5_6_0   ,      SCREAMING_SNAKE_CASE_    :				str = "mean"   ,      SCREAMING_SNAKE_CASE_    :				float = 0.02   ,      SCREAMING_SNAKE_CASE_    :				float = 0.0_01   ,      SCREAMING_SNAKE_CASE_    :				float = 0.99   ,      SCREAMING_SNAKE_CASE_    :				float = 0.5   ,      SCREAMING_SNAKE_CASE_    :				float = 0.2   ,      **SCREAMING_SNAKE_CASE_    :				Optional[Any]   ,      ):
        super().__init__(**SCREAMING_SNAKE_CASE_	)

        lowerCAmelCase_       :    Tuple								=			num_channels
        lowerCAmelCase_       :    List[Any]								=			image_size
        lowerCAmelCase_       :    Any								=			width_coefficient
        lowerCAmelCase_       :    Union[str, Any]								=			depth_coefficient
        lowerCAmelCase_       :    str								=			depth_divisor
        lowerCAmelCase_       :    Union[str, Any]								=			kernel_sizes
        lowerCAmelCase_       :    List[str]								=			in_channels
        lowerCAmelCase_       :    Optional[Any]								=			out_channels
        lowerCAmelCase_       :    List[Any]								=			depthwise_padding
        lowerCAmelCase_       :    Dict								=			strides
        lowerCAmelCase_       :    Any								=			num_block_repeats
        lowerCAmelCase_       :    Optional[Any]								=			expand_ratios
        lowerCAmelCase_       :    List[str]								=			squeeze_expansion_ratio
        lowerCAmelCase_       :    Tuple								=			hidden_act
        lowerCAmelCase_       :    Tuple								=			hidden_dim
        lowerCAmelCase_       :    Optional[int]								=			pooling_type
        lowerCAmelCase_       :    Union[str, Any]								=			initializer_range
        lowerCAmelCase_       :    List[str]								=			batch_norm_eps
        lowerCAmelCase_       :    Optional[int]								=			batch_norm_momentum
        lowerCAmelCase_       :    Dict								=			dropout_rate
        lowerCAmelCase_       :    str								=			drop_connect_rate
        lowerCAmelCase_       :    int								=			sum(SCREAMING_SNAKE_CASE_	) * 4







class 				UpperCamelCase__       (     lowercase_  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE      =					version.parse("""1.11"""  )



      @property
      def 					SCREAMING_SNAKE_CASE__			(				self    :				Optional[Any]	):
        return OrderedDict(
            [
                ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
            ]	)





      @property
      def 					SCREAMING_SNAKE_CASE__			(				self    :				Tuple	):
        return 1E-5










"""simple docstring"""







def     UpperCamelCase_   (   lowerCAmelCase__				:    list[int]   ,       lowerCAmelCase__				:    list[int]						)						->       None:

  """simple docstring"""




  lowerCAmelCase_       :    List[Any]								=			len(lowerCAmelCase__						)
  print('The following activities are selected:'						)

  # The first activity is always selected
  lowerCAmelCase_       :    str								=			0
  print(lowerCAmelCase__   ,       end=','						)

  # Consider rest of the activities
  for j in range(lowerCAmelCase__						):
    # If this activity has start time greater than
    # or equal to the finish time of previously
    # selected activity, then select it
    if start[j] >= finish[i]:
      print(lowerCAmelCase__   ,       end=','						)
      lowerCAmelCase_       :    Tuple								=			j


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     lowercase__		:    List[str]				   =     [1, 3, 0, 5, 8, 5]
     lowercase__		:    Dict				   =     [2, 4, 6, 7, 9, 9]
     print_max_activities(start, finish)





