






'''simple docstring'''





import argparse
import os
import re


a_							=    """src/transformers/models/auto"""


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


def        _a  (     UpperCamelCase_					:				Any    ,   UpperCamelCase_					:				int = False   ) ->   Optional[int]:
						"""simple docstring"""







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

						lowerCAmelCase__       =						content.split("\n"   )
						lowerCAmelCase__       =						[]
						lowerCAmelCase__       =						0
						while line_idx < len(UpperCamelCase_   ):
												if _re_intro_mapping.search(lines[line_idx]   ) is not None:
																		lowerCAmelCase__       =						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

																		lowerCAmelCase__       =						[]
																		while lines[line_idx].strip() != "]":
																								# Blocks either fit in one line or not
																								if lines[line_idx].strip() == "(":
																														lowerCAmelCase__       =						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
																		lowerCAmelCase__       =						sorted(UpperCamelCase_    ,   key=lambda UpperCamelCase_   : _re_identifier.search(UpperCamelCase_   ).groups()[0]   )
																		new_lines += blocks
												else:
																		new_lines.append(lines[line_idx]   )
																		line_idx += 1

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


def        _a  (     UpperCamelCase_					:				int = False   ) ->   Dict:
						"""simple docstring"""







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

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


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

	sort_all_auto_mappings(not args.check_only)














from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_							=    {'''configuration_sew''': ['''SEW_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SEWConfig''']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a_							=    [
	    '''SEW_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''SEWForCTC''',
	    '''SEWForSequenceClassification''',
	    '''SEWModel''',
	    '''SEWPreTrainedModel''',
	]

if TYPE_CHECKING:
	from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_sew import (
		    SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
		    SEWForCTC,
		    SEWForSequenceClassification,
		    SEWModel,
		    SEWPreTrainedModel,
		)


else:
	import sys

	a_							=    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






