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


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

A_     :   Dict      =      {
    "microsoft/focalnet-tiny": "https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json",
}






class      __lowercase					(    UpperCamelCase_       ,     UpperCamelCase_    ):
						lowercase					 =     'focalnet'

						def __init__(	self				:      List[str]							,							__lowerCamelCase				:      str=2_24							,							__lowerCamelCase				:      List[Any]=4							,							__lowerCamelCase				:      Union[str, Any]=3							,							__lowerCamelCase				:      Optional[Any]=96							,							__lowerCamelCase				:      int=False							,							__lowerCamelCase				:      Dict=[1_92, 3_84, 7_68, 7_68]							,							__lowerCamelCase				:      Any=[2, 2, 6, 2]							,							__lowerCamelCase				:      Optional[Any]=[2, 2, 2, 2]							,							__lowerCamelCase				:      Any=[3, 3, 3, 3]							,							__lowerCamelCase				:      str="gelu"							,							__lowerCamelCase				:      Tuple=4.0							,							__lowerCamelCase				:      Tuple=0.0							,							__lowerCamelCase				:      Optional[int]=0.1							,							__lowerCamelCase				:      List[str]=False							,							__lowerCamelCase				:      str=1E-4							,							__lowerCamelCase				:      Any=False							,							__lowerCamelCase				:      Union[str, Any]=False							,							__lowerCamelCase				:      Optional[int]=False							,							__lowerCamelCase				:      str=0.02							,							__lowerCamelCase				:      List[str]=1E-5							,							__lowerCamelCase				:      str=32							,							__lowerCamelCase				:      str=None							,							__lowerCamelCase				:      int=None							,							**__lowerCamelCase				:      List[Any]							,							)							->		Any:


									'''simple docstring'''

									super().__init__(**__a   )

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






from __future__ import annotations

from math import pi






def        __UpperCAmelCase    (       UpperCAmelCase,		UpperCAmelCase,		UpperCAmelCase       )->       dict[str, float]:



			"""simple docstring"""







			if (inductance, frequency, reactance).count(0       ) != 1:
						raise ValueError('''One and only one argument must be 0'''       )
			if inductance < 0:
						raise ValueError('''Inductance cannot be negative'''       )
			if frequency < 0:
						raise ValueError('''Frequency cannot be negative'''       )
			if reactance < 0:
						raise ValueError('''Inductive reactance cannot be negative'''       )
			if inductance == 0:
						return {"inductance": reactance / (2 * pi * frequency)}
			elif frequency == 0:
						return {"frequency": reactance / (2 * pi * inductance)}
			elif reactance == 0:
						return {"reactance": 2 * pi * frequency * inductance}
			else:
						raise ValueError('''Exactly one argument must be 0'''       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()





