from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCamelCase	: str    		=  logging.get_logger(__name__)

__UpperCamelCase	: Optional[int]    		=  {
    'microsoft/swinv2-tiny-patch4-window8-256': (
        'https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json'
    ),
}





class       lowercase__		(     UpperCamelCase_):
						UpperCamelCase_  =	"""swinv2"""

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


						def __init__( self			:       List[Any]					,	UpperCamelCase__			:       str=224					,	UpperCamelCase__			:       int=4					,	UpperCamelCase__			:       int=3					,	UpperCamelCase__			:       Any=96					,	UpperCamelCase__			:       Optional[int]=[2, 2, 6, 2]					,	UpperCamelCase__			:       str=[3, 6, 12, 24]					,	UpperCamelCase__			:       Optional[int]=7					,	UpperCamelCase__			:       Optional[Any]=4.0					,	UpperCamelCase__			:       Optional[Any]=True					,	UpperCamelCase__			:       Optional[Any]=0.0					,	UpperCamelCase__			:       List[Any]=0.0					,	UpperCamelCase__			:       int=0.1					,	UpperCamelCase__			:       Optional[int]="gelu"					,	UpperCamelCase__			:       List[Any]=False					,	UpperCamelCase__			:       Optional[int]=0.02					,	UpperCamelCase__			:       List[str]=1E-5					,	UpperCamelCase__			:       Optional[Any]=32					,	**UpperCamelCase__			:       List[Any]					,	):





												'''simple docstring'''





												super().__init__(**UpperCamelCase__		)

												SCREAMING_SNAKE_CASE							:					int           =							image_size
												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							patch_size
												SCREAMING_SNAKE_CASE							:					str           =							num_channels
												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							embed_dim
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							depths
												SCREAMING_SNAKE_CASE							:					Any           =							len(UpperCamelCase__		)
												SCREAMING_SNAKE_CASE							:					str           =							num_heads
												SCREAMING_SNAKE_CASE							:					Tuple           =							window_size
												SCREAMING_SNAKE_CASE							:					Dict           =							mlp_ratio
												SCREAMING_SNAKE_CASE							:					Dict           =							qkv_bias
												SCREAMING_SNAKE_CASE							:					str           =							hidden_dropout_prob
												SCREAMING_SNAKE_CASE							:					Tuple           =							attention_probs_dropout_prob
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							drop_path_rate
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							hidden_act
												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							use_absolute_embeddings
												SCREAMING_SNAKE_CASE							:					Optional[int]           =							layer_norm_eps
												SCREAMING_SNAKE_CASE							:					str           =							initializer_range
												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							encoder_stride
												# we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
												# this indicates the channel dimension after the last stage of the model
												SCREAMING_SNAKE_CASE							:					str           =							int(embed_dim * 2 ** (len(UpperCamelCase__		) - 1)		)
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							(0, 0, 0, 0)






import os

try:
					from .build_directory_md import good_file_paths
except ImportError:
					from build_directory_md import good_file_paths  # type: ignore

__UpperCamelCase	: Dict    		=  list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

__UpperCamelCase	: Tuple    		=  [file for file in filepaths if file != file.lower()]
if upper_files:
					print(f"""{len(upper_files)} files contain uppercase characters:""")
					print('\n'.join(upper_files) + '\n')

__UpperCamelCase	: List[Any]    		=  [file for file in filepaths if ' ' in file]
if space_files:
					print(f"""{len(space_files)} files contain space characters:""")
					print('\n'.join(space_files) + '\n')

__UpperCamelCase	: List[Any]    		=  [file for file in filepaths if '-' in file]
if hyphen_files:
					print(f"""{len(hyphen_files)} files contain hyphen characters:""")
					print('\n'.join(hyphen_files) + '\n')

__UpperCamelCase	: List[Any]    		=  [file for file in filepaths if os.sep not in file]
if nodir_files:
					print(f"""{len(nodir_files)} files are not in a directory:""")
					print('\n'.join(nodir_files) + '\n')

__UpperCamelCase	: Optional[Any]    		=  len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
					import sys

					sys.exit(bad_files)





