




"""simple docstring"""






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


lowercase__     						=						logging.get_logger(__name__)

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






class lowerCAmelCase__	(     lowercase,	lowercase						):






			'''simple docstring'''



			lowerCamelCase__      =			"""focalnet"""
			def __init__(  self  ,      lowercase=224  ,      lowercase=4  ,      lowercase=3  ,      lowercase=96  ,      lowercase=False  ,      lowercase=[192, 384, 768, 768]  ,      lowercase=[2, 2, 6, 2]  ,      lowercase=[2, 2, 2, 2]  ,      lowercase=[3, 3, 3, 3]  ,      lowercase="gelu"  ,      lowercase=4.0  ,      lowercase=0.0  ,      lowercase=0.1  ,      lowercase=False  ,      lowercase=1E-4  ,      lowercase=False  ,      lowercase=False  ,      lowercase=False  ,      lowercase=0.02  ,      lowercase=1E-5  ,      lowercase=32  ,      lowercase=None  ,      lowercase=None  ,      **lowercase  ,      ):
							super().__init__(**lowercase  )

							_lowerCamelCase     :			Optional[int]    =    image_size
							_lowerCamelCase     :			Union[str, Any]    =    patch_size
							_lowerCamelCase     :			int    =    num_channels
							_lowerCamelCase     :			Any    =    embed_dim
							_lowerCamelCase     :			List[Any]    =    use_conv_embed
							_lowerCamelCase     :			List[str]    =    hidden_sizes
							_lowerCamelCase     :			int    =    depths
							_lowerCamelCase     :			Optional[int]    =    focal_levels
							_lowerCamelCase     :			Any    =    focal_windows
							_lowerCamelCase     :			str    =    hidden_act
							_lowerCamelCase     :			int    =    mlp_ratio
							_lowerCamelCase     :			Tuple    =    hidden_dropout_prob
							_lowerCamelCase     :			Any    =    drop_path_rate
							_lowerCamelCase     :			List[Any]    =    use_layerscale
							_lowerCamelCase     :			Optional[Any]    =    layerscale_value
							_lowerCamelCase     :			Union[str, Any]    =    use_post_layernorm
							_lowerCamelCase     :			Tuple    =    use_post_layernorm_in_modulation
							_lowerCamelCase     :			Union[str, Any]    =    normalize_modulator
							_lowerCamelCase     :			Union[str, Any]    =    initializer_range
							_lowerCamelCase     :			Any    =    layer_norm_eps
							_lowerCamelCase     :			int    =    encoder_stride
							_lowerCamelCase     :			Tuple    =    ['stem'] + [F'''stage{idx}''' for idx in range(1  ,      len(self.depths  ) + 1  )]
							_lowerCamelCase, _lowerCamelCase     :			Any    =    get_aligned_output_features_output_indices(
							    out_features=lowercase  ,      out_indices=lowercase  ,      stage_names=self.stage_names  )





"""simple docstring"""






def      _snake_case			(				lowercase__		):
				if not isinstance(lowercase__							,    lowercase__		):
								raise ValueError('Input series is not valid, valid series - [2, 4, 6]'		)
				if len(lowercase__		) == 0:
								raise ValueError('Input list must be a non empty list'		)
				if len(lowercase__		) == 1:
								return True
				_lowerCamelCase     :			List[Any]    =    series[1] - series[0]
				for index in range(len(lowercase__		) - 1		):
								if series[index + 1] - series[index] != common_diff:
												return False
				return True







def      _snake_case			(				lowercase__		):
				if not isinstance(lowercase__							,    lowercase__		):
								raise ValueError('Input series is not valid, valid series - [2, 4, 6]'		)
				if len(lowercase__		) == 0:
								raise ValueError('Input list must be a non empty list'		)
				_lowerCamelCase     :			Optional[int]    =    0
				for val in series:
								answer += val
				return answer / len(lowercase__		)


if __name__ == "__main__":
			import doctest

			doctest.testmod()