'''simple docstring'''





from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


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

SCREAMING_SNAKE_CASE_:     List[str]  ={
    'microsoft/focalnet-tiny': 'https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json',
}




class        __A      ( UpperCamelCase__		,	UpperCamelCase__	):
    a__       :						int          =  """focalnet"""



    def __init__(self    :    Optional[int]   ,			__a    :    int=224   ,			__a    :    List[str]=4   ,			__a    :    int=3   ,			__a    :    List[Any]=96   ,			__a    :    str=False   ,			__a    :    List[Any]=[192, 384, 768, 768]   ,			__a    :    Any=[2, 2, 6, 2]   ,			__a    :    int=[2, 2, 2, 2]   ,			__a    :    List[str]=[3, 3, 3, 3]   ,			__a    :    Dict="gelu"   ,			__a    :    Tuple=4.0   ,			__a    :    Dict=0.0   ,			__a    :    List[str]=0.1   ,			__a    :    str=False   ,			__a    :    Any=1E-4   ,			__a    :    Tuple=False   ,			__a    :    Any=False   ,			__a    :    Optional[int]=False   ,			__a    :    Any=0.02   ,			__a    :    Dict=1E-5   ,			__a    :    str=32   ,			__a    :    Dict=None   ,			__a    :    str=None   ,			**__a    :    str   ,			):
         super().__init__(**__a )

         UpperCAmelCase_           =   image_size
         UpperCAmelCase_           =   patch_size
         UpperCAmelCase_           =   num_channels
         UpperCAmelCase_           =   embed_dim
         UpperCAmelCase_           =   use_conv_embed
         UpperCAmelCase_           =   hidden_sizes
         UpperCAmelCase_           =   depths
         UpperCAmelCase_           =   focal_levels
         UpperCAmelCase_           =   focal_windows
         UpperCAmelCase_           =   hidden_act
         UpperCAmelCase_           =   mlp_ratio
         UpperCAmelCase_           =   hidden_dropout_prob
         UpperCAmelCase_           =   drop_path_rate
         UpperCAmelCase_           =   use_layerscale
         UpperCAmelCase_           =   layerscale_value
         UpperCAmelCase_           =   use_post_layernorm
         UpperCAmelCase_           =   use_post_layernorm_in_modulation
         UpperCAmelCase_           =   normalize_modulator
         UpperCAmelCase_           =   initializer_range
         UpperCAmelCase_           =   layer_norm_eps
         UpperCAmelCase_           =   encoder_stride
         UpperCAmelCase_           =   ["stem"] + [f"""stage{idx}""" for idx in range(1   ,			len(self.depths ) + 1 )]
         UpperCAmelCase_    , UpperCAmelCase_           =   get_aligned_output_features_output_indices(
             out_features=__a   ,			out_indices=__a   ,			stage_names=self.stage_names )









import random






def     a(      A       :    Optional[Any] ,     A       :    Optional[Any] ,     A       :    str       )		->       List[Any]:
					"""simple docstring"""





					a					     =   a[left_index]
					a					     =   left_index + 1
					for j in range(left_index + 1 ,     A       ):
										if a[j] < pivot:
															a     ,				a					     =   a[i], a[j]
															i += 1
					a     ,				a					     =   a[i - 1], a[left_index]
					return i - 1






def     a(      A       :    List[Any] ,     A       :    List[Any] ,     A       :    Union[str, Any]       )		->       List[Any]:
					"""simple docstring"""





					if left < right:
										a					     =   random.randint(A ,     right - 1       )
										a     ,				a					     =   (
										    a[left],
										    a[pivot],
										)  # switches the pivot with the left most bound
										a					     =   partition(A ,     A ,     A       )
										quick_sort_random(
										    A ,     A ,     A       )  # recursive quicksort to the left of the pivot point
										quick_sort_random(
										    A ,     pivot_index + 1 ,     A       )  # recursive quicksort to the right of the pivot point






def     a(      )		->       Any:
					"""simple docstring"""





					a					     =   input("Enter numbers separated by a comma:\n"       ).strip()
					a					     =   [int(A       ) for item in user_input.split(","       )]

					quick_sort_random(A ,     0 ,     len(A       )       )

					print(A       )


if __name__ == "__main__":
				main()
