





"""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


lowerCamelCase_	:		Dict         =   logging.get_logger(__name__)

lowerCamelCase_	:		Optional[Any]         =   {
    'MBZUAI/swiftformer-xs': 'https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json',
}

class 					_UpperCAmelCase    (  UpperCAmelCase__						):



      '''simple docstring'''
      lowercase_ :					int             =  """swiftformer"""

      def __init__(	self   , snake_case_=3   , snake_case_=[3, 3, 6, 4]   , snake_case_=[4_8, 5_6, 1_1_2, 2_2_0]   , snake_case_=4   , snake_case_=[True, True, True, True]   , snake_case_="gelu"   , snake_case_=3   , snake_case_=2   , snake_case_=1   , snake_case_=0.0   , snake_case_=True   , snake_case_=1E-5   , snake_case_=1E-5   , **snake_case_   , ):

        """simple docstring"""

        super().__init__(**snake_case_    )
        A_    :			Optional[Any]									=    num_channels
        A_    :			Dict									=    depths
        A_    :			str									=    embed_dims
        A_    :			Optional[Any]									=    mlp_ratio
        A_    :			str									=    downsamples
        A_    :			Tuple									=    hidden_act
        A_    :			Tuple									=    down_patch_size
        A_    :			Optional[int]									=    down_stride
        A_    :			List[Any]									=    down_pad
        A_    :			List[str]									=    drop_path_rate
        A_    :			List[Any]									=    use_layer_scale
        A_    :			Union[str, Any]									=    layer_scale_init_value
        A_    :			str									=    batch_norm_eps


class 					_UpperCAmelCase    (  UpperCAmelCase__						):



      '''simple docstring'''
      lowercase_ :					int             =  version.parse("""1.11"""						)

      @property
      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

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

      @property
      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

        return 1E-4



from __future__ import annotations

from random import randrange




def SCREAMING_SNAKE_CASE_  (				__lowerCamelCase:		list  ):







	'''simple docstring'''



	if len(__lowerCamelCase  ) < 2:
		return collection
	lowercase_			 = randrange(len(__lowerCamelCase  )  )  # Use random element as pivot
	lowercase_			 = collection[pivot_index]
	lowercase_			 = []  # All elements greater than pivot
	lowercase_			 = []  # All elements less than or equal to pivot

	for element in collection[:pivot_index]:
		(greater if element > pivot else lesser).append(__lowerCamelCase  )

	for element in collection[pivot_index + 1 :]:
		(greater if element > pivot else lesser).append(__lowerCamelCase  )

	return [*quick_sort(__lowerCamelCase  ), pivot, *quick_sort(__lowerCamelCase  )]


if __name__ == "__main__":
							SCREAMING_SNAKE_CASE__       			=				input("""Enter numbers separated by a comma:\n""").strip()
							SCREAMING_SNAKE_CASE__       			=				[int(item) for item in user_input.split(""",""")]
							print(quick_sort(unsorted))

