






import argparse
import os
import re


__magic_name__:					str							=     "src/transformers/models/auto"


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

def    UpperCamelCase						(	_A,   _A = False			):






						"""simple docstring"""







						with open(_A,   """r""",   encoding="""utf-8"""			) as f:
												__magic_name__      :       Union[str, Any]       						= f.read()

						__magic_name__      :       Any       						= content.split("""\n"""			)
						__magic_name__      :       int       						= []
						__magic_name__      :       Optional[int]       						= 0
						while line_idx < len(_A			):
												if _re_intro_mapping.search(lines[line_idx]			) is not None:
																		__magic_name__      :       Union[str, Any]       						= 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

																		__magic_name__      :       Any       						= []
																		while lines[line_idx].strip() != "]":
																								# Blocks either fit in one line or not
																								if lines[line_idx].strip() == "(":
																														__magic_name__      :       Dict       						= 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
																		__magic_name__      :       Union[str, Any]       						= 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    UpperCamelCase						(	_A = False			):






						"""simple docstring"""







						__magic_name__      :       List[Any]       						= [os.path.join(_A,   _A			) for f in os.listdir(_A			) if f.endswith(""".py"""			)]
						__magic_name__      :       List[str]       						= [sort_auto_mapping(_A,   overwrite=_A			) for fname in fnames]

						if not overwrite and any(_A			):
												__magic_name__      :       Tuple       						= [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__":
		__magic_name__:					Dict							=     argparse.ArgumentParser()
		parser.add_argument("--check_only", action="store_true", help="Whether to only check or fix style.")
		__magic_name__:					List[str]							=     parser.parse_args()

		sort_all_auto_mappings(not args.check_only)








__magic_name__:					List[Any]							=     "\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

__magic_name__:					Dict							=     [{"type": "code", "content": INSTALL_CONTENT}]
__magic_name__:					Optional[Any]							=     {
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}
