



"""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


_lowercase					:					Any 		=		logging.get_logger(__name__)

_lowercase					:					Dict 		=		{
    '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 			__SCREAMING_SNAKE_CASE      ( lowerCAmelCase_						,  lowerCAmelCase_  ):


					'''simple docstring'''





					_a       =				'''convnext'''



					def __init__(			self				:    Optional[int],    lowerCamelCase				:    Tuple=3,    lowerCamelCase				:    int=4,    lowerCamelCase				:    Tuple=4,    lowerCamelCase				:    Optional[int]=None,    lowerCamelCase				:    str=None,    lowerCamelCase				:    Tuple="gelu",    lowerCamelCase				:    List[Any]=0.02,    lowerCamelCase				:    str=1E-12,    lowerCamelCase				:    Optional[int]=1E-6,    lowerCamelCase				:    Tuple=0.0,    lowerCamelCase				:    Tuple=224,    lowerCamelCase				:    Union[str, Any]=None,    lowerCamelCase				:    Optional[int]=None,    **lowerCamelCase				:    Tuple,    )->   List[Any]:
								super().__init__(**__snake_case	)

								lowerCamelCase__						:						int						      =num_channels
								lowerCamelCase__						:						str						      =patch_size
								lowerCamelCase__						:						List[str]						      =num_stages
								lowerCamelCase__						:						Dict						      =[96, 192, 384, 768] if hidden_sizes is None else hidden_sizes
								lowerCamelCase__						:						Optional[int]						      =[3, 3, 9, 3] if depths is None else depths
								lowerCamelCase__						:						List[Any]						      =hidden_act
								lowerCamelCase__						:						str						      =initializer_range
								lowerCamelCase__						:						List[str]						      =layer_norm_eps
								lowerCamelCase__						:						Tuple						      =layer_scale_init_value
								lowerCamelCase__						:						Any						      =drop_path_rate
								lowerCamelCase__						:						Tuple						      =image_size
								lowerCamelCase__						:						Any						      =["stem"] + [F'''stage{idx}''' for idx in range(1,    len(self.depths	) + 1	)]
								lowerCamelCase__						:						Optional[int]						      =get_aligned_output_features_output_indices(
								    out_features=__snake_case,    out_indices=__snake_case,    stage_names=self.stage_names	)





class 			__SCREAMING_SNAKE_CASE      ( lowerCAmelCase_  ):


					'''simple docstring'''





					_a       =				version.parse('1.11'  )



					@property
					def 						snake_case			(			self				:    Union[str, Any]	)->   Mapping[str, Mapping[int, str]]:
								return OrderedDict(
								    [
								        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
								    ]	)




					@property
					def 						snake_case			(			self				:    List[Any]	)->   float:
								return 1E-5






def      __UpperCAmelCase    (  snake_case_							:		str				):



	'''simple docstring'''



	UpperCAmelCase:					Tuple 						=     str(snake_case_				).strip()
	if not bin_string:
		raise ValueError("Empty string was passed to the function"				)
	UpperCAmelCase:					List[Any] 						=     bin_string[0] == "-"
	if is_negative:
		UpperCAmelCase:					Optional[int] 						=     bin_string[1:]
	if not all(char in "01" for char in bin_string				):
		raise ValueError("Non-binary value was passed to the function"				)
	UpperCAmelCase:					List[str] 						=     0
	for char in bin_string:
		UpperCAmelCase:					Union[str, Any] 						=     2 * decimal_number + int(snake_case_				)
	return -decimal_number if is_negative else decimal_number


if __name__ == "__main__":
	from doctest import testmod

	testmod()
