

def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							Any		,    SCREAMING_SNAKE_CASE_:							Tuple )     -> Any:




				'''simple docstring'''





				sequence.append(SCREAMING_SNAKE_CASE_ )

				A__            =     0
				while sequence[index] != target:
								index += 1

				sequence.pop()

				if index == len(SCREAMING_SNAKE_CASE_ ):
								return None

				return index


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

	lowerCAmelCase__						=	input("""Enter a single number to be found in the list:\n""")
	lowerCAmelCase__						=	int(target_input)
	lowerCAmelCase__						=	sentinel_linear_search(sequence, target)
	if result is not None:
		print(f"""{target} found at positions: {result}""")
	else:
		print("""Not found""")




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__						=	logging.get_logger(__name__)

lowerCAmelCase__						=	{
    """MBZUAI/swiftformer-xs""": """https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json""",
}

class    a__  (   snake_case     ):
			"""simple docstring"""







			__lowerCamelCase	    =    'swiftformer'


			def __init__(      self , lowercase=3 , lowercase=[3, 3, 6, 4] , lowercase=[48, 56, 112, 220] , lowercase=4 , lowercase=[True, True, True, True] , lowercase="gelu" , lowercase=3 , lowercase=2 , lowercase=1 , lowercase=0.0 , lowercase=True , lowercase=1e-5 , lowercase=1e-5 , **lowercase , )					->  Optional[int]:
							'''simple docstring'''






							super().__init__(**lowercase    )
							A__            =     num_channels
							A__            =     depths
							A__            =     embed_dims
							A__            =     mlp_ratio
							A__            =     downsamples
							A__            =     hidden_act
							A__            =     down_patch_size
							A__            =     down_stride
							A__            =     down_pad
							A__            =     drop_path_rate
							A__            =     use_layer_scale
							A__            =     layer_scale_init_value
							A__            =     batch_norm_eps

class    a__  (   snake_case     ):
			"""simple docstring"""







			__lowerCamelCase	    =    version.parse('1.11'     )


			@property
			def        UpperCamelCase						(      self    )					->  Mapping[str, Mapping[int, str]]:
							'''simple docstring'''






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


			@property
			def        UpperCamelCase						(      self    )					->  float:
							'''simple docstring'''






							return 1e-4

