
import argparse
import os
import re


_UpperCAmelCase :			Union[str, Any]              =	"src/transformers/models/auto"


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


def 				A	( lowercase   ,	lowercase = False			)       ->  List[Any]:
		'''simple docstring'''

		with open(lowercase   ,	'r'   ,	encoding='utf-8'			) as f:
				UpperCamelCase          =					f.read()

		UpperCamelCase          =					content.split('\n'			)
		UpperCamelCase          =					[]
		UpperCamelCase          =					0
		while line_idx < len(lowercase			):
				if _re_intro_mapping.search(lines[line_idx]			) is not None:
						UpperCamelCase          =					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

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

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


def 				A	( lowercase = False			)       ->  Optional[int]:
		'''simple docstring'''

		UpperCamelCase          =					[os.path.join(lowercase   ,	lowercase			) for f in os.listdir(lowercase			) if f.endswith('.py'			)]
		UpperCamelCase          =					[sort_auto_mapping(lowercase   ,	overwrite=lowercase			) for fname in fnames]

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


if __name__ == "__main__":
					_UpperCAmelCase :			List[str]              =	argparse.ArgumentParser()
					parser.add_argument("--check_only", action="store_true", help="Whether to only check or fix style.")
					_UpperCAmelCase :			Union[str, Any]              =	parser.parse_args()

					sort_all_auto_mappings(not args.check_only)


from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
					if not (is_transformers_available() and is_torch_available() and is_transformers_version(">=", "4.25.0")):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
					from .pipeline_unclip import UnCLIPPipeline
					from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
					from .text_proj import UnCLIPTextProjModel
