

"""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


__UpperCamelCase  :      int							      =		logging.get_logger(__name__)

__UpperCamelCase  :      Union[str, Any]							      =		{
    '''microsoft/swin-tiny-patch4-window7-224''': (
        '''https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json'''
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}







class 				SCREAMING_SNAKE_CASE					(		a_    ,							a_       ):






					"""simple docstring"""



					lowercase__				 =       "swin"

					lowercase__				 =       {
					    "num_attention_heads": "num_heads",
					    "num_hidden_layers": "num_layers",
					}







					def __init__(       self			:				str   ,lowercase_			:				List[str]=2_2_4   ,lowercase_			:				Union[str, Any]=4   ,lowercase_			:				Dict=3   ,lowercase_			:				Tuple=9_6   ,lowercase_			:				Any=[2, 2, 6, 2]   ,lowercase_			:				Any=[3, 6, 1_2, 2_4]   ,lowercase_			:				str=7   ,lowercase_			:				Optional[Any]=4.0   ,lowercase_			:				Optional[int]=True   ,lowercase_			:				Union[str, Any]=0.0   ,lowercase_			:				Optional[Any]=0.0   ,lowercase_			:				int=0.1   ,lowercase_			:				Dict="gelu"   ,lowercase_			:				Optional[Any]=False   ,lowercase_			:				Any=0.02   ,lowercase_			:				str=1E-5   ,lowercase_			:				str=3_2   ,lowercase_			:				List[Any]=None   ,lowercase_			:				Union[str, Any]=None   ,**lowercase_			:				List[str]   ,):
						super().__init__(**lowercase_		)

						lowerCAmelCase__	:						Union[str, Any]  				=	image_size
						lowerCAmelCase__	:						List[str]  				=	patch_size
						lowerCAmelCase__	:						Optional[Any]  				=	num_channels
						lowerCAmelCase__	:						str  				=	embed_dim
						lowerCAmelCase__	:						Optional[int]  				=	depths
						lowerCAmelCase__	:						Tuple  				=	len(lowercase_		)
						lowerCAmelCase__	:						List[Any]  				=	num_heads
						lowerCAmelCase__	:						str  				=	window_size
						lowerCAmelCase__	:						str  				=	mlp_ratio
						lowerCAmelCase__	:						Optional[Any]  				=	qkv_bias
						lowerCAmelCase__	:						str  				=	hidden_dropout_prob
						lowerCAmelCase__	:						List[str]  				=	attention_probs_dropout_prob
						lowerCAmelCase__	:						List[str]  				=	drop_path_rate
						lowerCAmelCase__	:						Dict  				=	hidden_act
						lowerCAmelCase__	:						int  				=	use_absolute_embeddings
						lowerCAmelCase__	:						Tuple  				=	layer_norm_eps
						lowerCAmelCase__	:						Dict  				=	initializer_range
						lowerCAmelCase__	:						List[str]  				=	encoder_stride
						# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
						# this indicates the channel dimension after the last stage of the model
						lowerCAmelCase__	:						Any  				=	int(embed_dim * 2 ** (len(lowercase_		) - 1)		)
						lowerCAmelCase__	:						List[str]  				=	['''stem'''] + [F'stage{idx}' for idx in range(1   ,len(lowercase_		) + 1		)]
						lowerCAmelCase__				,lowerCAmelCase__	:						Tuple  				=	get_aligned_output_features_output_indices(
						    out_features=lowercase_   ,out_indices=lowercase_   ,stage_names=self.stage_names		)







class 				SCREAMING_SNAKE_CASE					(		a_       ):






					"""simple docstring"""



					lowercase__				 =       version.parse("1.11"       )







					@property
					def        __lowerCAmelCase (       self			:				Optional[Any]		):
						return OrderedDict(
						    [
						        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
						    ]		)







					@property
					def        __lowerCAmelCase (       self			:				str		):
						return 1E-4







"""simple docstring"""





import os
from collections.abc import Iterator

def   __SCREAMING_SNAKE_CASE  (      A_ = "." ):
	for dir_path, dir_names, filenames in os.walk(A_ ):
		lowerCAmelCase__	:						str  				=	[d for d in dir_names if d != '''scripts''' and d[0] not in '''._''']
		for filename in filenames:
			if filename == "__init__.py":
				continue
			if os.path.splitext(A_ )[1] in (".py", ".ipynb"):
				yield os.path.join(A_						,     A_ ).lstrip('''./''' )

def   __SCREAMING_SNAKE_CASE  (      A_ ):
	return f'{i * "  "}*' if i else "\n##"

def   __SCREAMING_SNAKE_CASE  (      A_						,     A_ ):
	lowerCAmelCase__	:						Optional[Any]  				=	old_path.split(os.sep )
	for i, new_part in enumerate(new_path.split(os.sep ) ):
		if (i + 1 > len(A_ ) or old_parts[i] != new_part) and new_part:
			print(f'{md_prefix(A_ )} {new_part.replace("_"						,     " " ).title()}' )
	return new_path

def   __SCREAMING_SNAKE_CASE  (      A_ = "." ):
	lowerCAmelCase__	:						Any  				=	''''''
	for filepath in sorted(good_file_paths(A_ ) ):
		lowerCAmelCase__				,lowerCAmelCase__	:						str  				=	os.path.split(A_ )
		if filepath != old_path:
			lowerCAmelCase__	:						str  				=	print_path(A_						,     A_ )
		lowerCAmelCase__	:						str  				=	(filepath.count(os.sep ) + 1) if filepath else 0
		lowerCAmelCase__	:						Union[str, Any]  				=	f'{filepath}/{filename}'.replace(''' '''						,     '''%20''' )
		lowerCAmelCase__	:						List[str]  				=	os.path.splitext(filename.replace('''_'''						,     ''' ''' ).title() )[0]
		print(f'{md_prefix(A_ )} [{filename}]({url})' )


if __name__ == "__main__":
							print_directory_md('''.''')




