





'''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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_a      :				Optional[Any]											=					logging.get_logger(__name__)

_a      :				str											=					{
    """facebook/convnext-tiny-224""": """https://huggingface.co/facebook/convnext-tiny-224/resolve/main/config.json""",
    # See all ConvNeXT models at https://huggingface.co/models?filter=convnext
}





class 					_UpperCAmelCase							(		lowerCAmelCase_			,      lowerCAmelCase_     ):
		a     :     Dict     						="""convnext"""
		def __init__(						self,__SCREAMING_SNAKE_CASE=3,__SCREAMING_SNAKE_CASE=4,__SCREAMING_SNAKE_CASE=4,__SCREAMING_SNAKE_CASE=None,__SCREAMING_SNAKE_CASE=None,__SCREAMING_SNAKE_CASE="gelu",__SCREAMING_SNAKE_CASE=0.02,__SCREAMING_SNAKE_CASE=1e-12,__SCREAMING_SNAKE_CASE=1e-6,__SCREAMING_SNAKE_CASE=0.0,__SCREAMING_SNAKE_CASE=2_24,__SCREAMING_SNAKE_CASE=None,__SCREAMING_SNAKE_CASE=None,**__SCREAMING_SNAKE_CASE,):



					'''simple docstring'''

					super().__init__(**__SCREAMING_SNAKE_CASE    )

					__lowerCAmelCase      		=       num_channels
					__lowerCAmelCase      		=       patch_size
					__lowerCAmelCase      		=       num_stages
					__lowerCAmelCase      		=       [96, 1_92, 3_84, 7_68] if hidden_sizes is None else hidden_sizes
					__lowerCAmelCase      		=       [3, 3, 9, 3] if depths is None else depths
					__lowerCAmelCase      		=       hidden_act
					__lowerCAmelCase      		=       initializer_range
					__lowerCAmelCase      		=       layer_norm_eps
					__lowerCAmelCase      		=       layer_scale_init_value
					__lowerCAmelCase      		=       drop_path_rate
					__lowerCAmelCase      		=       image_size
					__lowerCAmelCase      		=       ["""stem"""] + [f'stage{idx}' for idx in range(1,len(self.depths    ) + 1    )]
					__lowerCAmelCase		, __lowerCAmelCase      		=       get_aligned_output_features_output_indices(
					    out_features=__SCREAMING_SNAKE_CASE,out_indices=__SCREAMING_SNAKE_CASE,stage_names=self.stage_names    )





class 					_UpperCAmelCase							(		lowerCAmelCase_     ):
		a     :     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-5









'''simple docstring'''







def      _lowerCAmelCase		(		lowercase = 1000			)      ->      int:
			__lowerCAmelCase      		=       []
			__lowerCAmelCase      		=       []
			__lowerCAmelCase      		=       3
			__lowerCAmelCase      		=       5
			__lowerCAmelCase      		=       1
			while True:
						__lowerCAmelCase      		=       z * temp
						if result < n:
									zmulti.append(lowercase			)
									temp += 1
						else:
									__lowerCAmelCase      		=       1
									break
			while True:
						__lowerCAmelCase      		=       x * temp
						if result < n:
									xmulti.append(lowercase			)
									temp += 1
						else:
									break
			__lowerCAmelCase      		=       list(set(xmulti + zmulti			)			)
			return sum(lowercase			)


if __name__ == "__main__":
	print(f'{solution() = }')

