




'''simple docstring'''





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


__lowerCAmelCase	:       Dict     =	logging.get_logger(__name__)

__lowerCAmelCase	:       List[str]     =	{
    'google/bit-50': 'https://huggingface.co/google/bit-50/resolve/main/config.json',
}




class 					snake_case__							(_UpperCamelCase					, _UpperCamelCase     ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_ :							Dict											=      """bit"""
				SCREAMING_SNAKE_CASE_ :							Optional[int]											=      ["""preactivation""", """bottleneck"""]
				SCREAMING_SNAKE_CASE_ :							Optional[int]											=      ["""SAME""", """VALID"""]





				def __init__(   self       :  Optional[Any]      ,   __lowerCamelCase       :  List[Any]=3      ,   __lowerCamelCase       :  Any=64      ,   __lowerCamelCase       :  str=[2_56, 5_12, 10_24, 20_48]      ,   __lowerCamelCase       :  Any=[3, 4, 6, 3]      ,   __lowerCamelCase       :  List[str]="preactivation"      ,   __lowerCamelCase       :  Union[str, Any]="relu"      ,   __lowerCamelCase       :  List[str]=None      ,   __lowerCamelCase       :  int=32      ,   __lowerCamelCase       :  Any=0.0      ,   __lowerCamelCase       :  Any=False      ,   __lowerCamelCase       :  List[str]=32      ,   __lowerCamelCase       :  Any=1      ,   __lowerCamelCase       :  Dict=None      ,   __lowerCamelCase       :  Any=None      ,   **__lowerCamelCase       :  Optional[Any]      ,   )      ->  Dict:
							super().__init__(**__lowerCamelCase							)
							if layer_type not in self.layer_types:
										raise ValueError(f"""layer_type={layer_type} is not one of {",".join(self.layer_types							)}"""							)
							if global_padding is not None:
										if global_padding.upper() in self.supported_padding:
													a					=    global_padding.upper()
										else:
													raise ValueError(f"""Padding strategy {global_padding} not supported"""							)
							a					=    num_channels
							a					=    embedding_size
							a					=    hidden_sizes
							a					=    depths
							a					=    layer_type
							a					=    hidden_act
							a					=    global_padding
							a					=    num_groups
							a					=    drop_path_rate
							a					=    embedding_dynamic_padding
							a					=    output_stride
							a					=    width_factor

							a					=    ["stem"] + [f"""stage{idx}""" for idx in range(1      ,   len(__lowerCamelCase							) + 1							)]
							a					,	a					=    get_aligned_output_features_output_indices(
							    out_features=__lowerCamelCase      ,   out_indices=__lowerCamelCase      ,   stage_names=self.stage_names							)












import argparse
import os
import re


__lowerCAmelCase	:       Union[str, Any]     =	'src/transformers/models/auto'


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
__lowerCAmelCase	:       Dict     =	re.compile(r'[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict')
# re pattern that matches identifiers in mappings
__lowerCAmelCase	:       Any     =	re.compile(r'\s*\(\s*"(\S[^"]+)"')




def     __magic_name__       (				A	:      int,						A	:      bool = False     ):






			'''simple docstring'''







			with open(A,						"r",						encoding="utf-8"     ) as f:
						a					=    f.read()

			a					=    content.split("\n"     )
			a					=    []
			a					=    0
			while line_idx < len(A     ):
						if _re_intro_mapping.search(lines[line_idx]     ) is not None:
									a					=    len(re.search(R"^(\s*)\S",						lines[line_idx]     ).groups()[0]     ) + 8
									# Start of a new mapping!
									while not lines[line_idx].startswith(" " * indent + "("     ):
												new_lines.append(lines[line_idx]     )
												line_idx += 1

									a					=    []
									while lines[line_idx].strip() != "]":
												# Blocks either fit in one line or not
												if lines[line_idx].strip() == "(":
															a					=    line_idx
															while not lines[line_idx].startswith(" " * indent + ")"     ):
																		line_idx += 1
															blocks.append("\n".join(lines[start_idx : line_idx + 1]     )     )
												else:
															blocks.append(lines[line_idx]     )
												line_idx += 1

									# Sort blocks by their identifiers
									a					=    sorted(A,						key=lambda A     : _re_identifier.search(A     ).groups()[0]     )
									new_lines += blocks
						else:
									new_lines.append(lines[line_idx]     )
									line_idx += 1

			if overwrite:
						with open(A,						"w",						encoding="utf-8"     ) as f:
									f.write("\n".join(A     )     )
			elif "\n".join(A     ) != content:
						return True




def     __magic_name__       (				A	:      bool = False     ):






			'''simple docstring'''







			a					=    [os.path.join(A,						A     ) for f in os.listdir(A     ) if f.endswith(".py"     )]
			a					=    [sort_auto_mapping(A,						overwrite=A     ) for fname in fnames]

			if not overwrite and any(A     ):
						a					=    [f for f, d in zip(A,						A     ) if d]
						raise ValueError(
						    F"""The following files have auto mappings that need sorting: {", ".join(A     )}. Run `make style` to fix"""
						    " this."     )


if __name__ == "__main__":
		__lowerCAmelCase	:       Dict     =	argparse.ArgumentParser()
		parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
		__lowerCAmelCase	:       Optional[Any]     =	parser.parse_args()

		sort_all_auto_mappings(not args.check_only)






