


from __future__ import annotations





def 	_lowerCAmelCase					( UpperCamelCase__:  list				,       UpperCamelCase__:  int				,       UpperCamelCase__:  int				,       UpperCamelCase__:  int    )			-> list:





	"""simple docstring"""







	A             =					[]
	A       ,      A             =					input_list[low:mid], input_list[mid : high + 1]
	while left and right:
		result.append((left if left[0] <= right[0] else right).pop(0    )    )
	A             =					result + left + right
	return input_list





def 	_lowerCAmelCase					( UpperCamelCase__:  list    )			-> list:





	"""simple docstring"""







	if len(UpperCamelCase__    ) <= 1:
		return input_list
	A             =					list(UpperCamelCase__    )

	# iteration for two-way merging
	A             =					2
	while p <= len(UpperCamelCase__    ):
		# getting low, high and middle value for merge-sort of single list
		for i in range(0				,       len(UpperCamelCase__    )				,       UpperCamelCase__    ):
			A             =					i
			A             =					i + p - 1
			A             =					(low + high + 1) // 2
			A             =					merge(UpperCamelCase__				,       UpperCamelCase__				,       UpperCamelCase__				,       UpperCamelCase__    )
		# final merge of last two parts
		if p * 2 >= len(UpperCamelCase__    ):
			A             =					i
			A             =					merge(UpperCamelCase__				,       0				,       UpperCamelCase__				,       len(UpperCamelCase__    ) - 1    )
			break
		p *= 2

	return input_list


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







from typing import List

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowercase							:   Any						=						logging.get_logger(__name__)

_lowercase							:   Union[str, Any]						=						{
    "snap-research/efficientformer-l1-300": (
        "https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json"
    ),
}






class    _UpperCamelCase     (       __snake_case					):

				"""simple docstring"""







				lowerCAmelCase					=			'efficientformer'

				def __init__(    self					, a__ = [3, 2, 6, 4]					, a__ = [48, 96, 224, 448]					, a__ = [True, True, True, True]					, a__ = 448					, a__ = 32					, a__ = 4					, a__ = 7					, a__ = 5					, a__ = 8					, a__ = 4					, a__ = 0.0					, a__ = 16					, a__ = 3					, a__ = 3					, a__ = 3					, a__ = 2					, a__ = 1					, a__ = 0.0					, a__ = 1					, a__ = True					, a__ = True					, a__ = 1e-5					, a__ = "gelu"					, a__ = 0.02					, a__ = 1e-12					, a__ = 224					, a__ = 1e-05					, **a__					, )						->					None:
					super().__init__(**a__ )

					A             =					hidden_act
					A             =					hidden_dropout_prob
					A             =					hidden_sizes
					A             =					num_hidden_layers
					A             =					num_attention_heads
					A             =					initializer_range
					A             =					layer_norm_eps
					A             =					patch_size
					A             =					num_channels
					A             =					depths
					A             =					mlp_expansion_ratio
					A             =					downsamples
					A             =					dim
					A             =					key_dim
					A             =					attention_ratio
					A             =					resolution
					A             =					pool_size
					A             =					downsample_patch_size
					A             =					downsample_stride
					A             =					downsample_pad
					A             =					drop_path_rate
					A             =					num_metaad_blocks
					A             =					distillation
					A             =					use_layer_scale
					A             =					layer_scale_init_value
					A             =					image_size
					A             =					batch_norm_eps



