'''simple docstring'''






import pytest

import datasets


# Import fixture modules as plugins
_UpperCAmelCase    :     Union[str, Any]         =       ['''tests.fixtures.files''', '''tests.fixtures.hub''', '''tests.fixtures.fsspec''']





def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			Tuple   ,		__snake_case							:			Union[str, Any]				):
     # Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
     for item in items:
          if any(marker in item.keywords for marker in ['integration', 'unit']				):
               continue
          item.add_marker(pytest.mark.unit				)





def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			Optional[Any]				):
     config.addinivalue_line('markers'   ,		'torchaudio_latest: mark test to run with torchaudio>=0.12'				)





@pytest.fixture(autouse=__snake_case				)
def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			Any   ,		__snake_case							:			List[Any]				):
     # test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
     _A    		=  tmp_path_factory.getbasetemp() / 'cache'
     _A    		=  test_hf_cache_home / 'datasets'
     _A    		=  test_hf_cache_home / 'metrics'
     _A    		=  test_hf_cache_home / 'modules'
     monkeypatch.setattr('datasets.config.HF_DATASETS_CACHE'   ,		str(__snake_case				)				)
     monkeypatch.setattr('datasets.config.HF_METRICS_CACHE'   ,		str(__snake_case				)				)
     monkeypatch.setattr('datasets.config.HF_MODULES_CACHE'   ,		str(__snake_case				)				)
     _A    		=  test_hf_datasets_cache / 'downloads'
     monkeypatch.setattr('datasets.config.DOWNLOADED_DATASETS_PATH'   ,		str(__snake_case				)				)
     _A    		=  test_hf_datasets_cache / 'downloads' / 'extracted'
     monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH'   ,		str(__snake_case				)				)





@pytest.fixture(autouse=__snake_case   ,		scope='session'				)
def  _SCREAMING_SNAKE_CASE		(      ):
     datasets.disable_progress_bar()





@pytest.fixture(autouse=__snake_case				)
def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			List[Any]				):
     # don't take tests into account when counting downloads
     monkeypatch.setattr('datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'   ,		__snake_case				)





@pytest.fixture
def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			Optional[Any]				):
     # Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
     # To be removed once SQLAlchemy 2.0 supported
     monkeypatch.setattr('sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'   ,		__snake_case				)










import argparse
import os
import re


__UpperCamelCase:	Any = """src/transformers/models/auto"""


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


def       SCREAMING_SNAKE_CASE__  (       _lowercase     : int   ,    _lowercase     : bool = False			)   ->							List[str]:




		'''simple docstring'''
		with open(_lowercase   ,    'r'   ,    encoding='utf-8'			) as f:
				lowercase__					:      Union[str, Any]      =		f.read()

		lowercase__					:      Optional[Any]      =		content.split('\n'			)
		lowercase__					:      Optional[int]      =		[]
		lowercase__					:      int      =		0
		while line_idx < len(_lowercase			):
				if _re_intro_mapping.search(lines[line_idx]			) is not None:
						lowercase__					:      Tuple      =		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

						lowercase__					:      Tuple      =		[]
						while lines[line_idx].strip() != "]":
								# Blocks either fit in one line or not
								if lines[line_idx].strip() == "(":
										lowercase__					:      Any      =		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
						lowercase__					:      List[str]      =		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       SCREAMING_SNAKE_CASE__  (       _lowercase     : bool = False			)   ->							List[Any]:




		'''simple docstring'''
		lowercase__					:      List[Any]      =		[os.path.join(_lowercase   ,    _lowercase			) for f in os.listdir(_lowercase			) if f.endswith('.py'			)]
		lowercase__					:      str      =		[sort_auto_mapping(_lowercase   ,    overwrite=_lowercase			) for fname in fnames]

		if not overwrite and any(_lowercase			):
				lowercase__					:      List[Any]      =		[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:	Tuple = argparse.ArgumentParser()
			parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
			__UpperCamelCase:	List[Any] = parser.parse_args()

			sort_all_auto_mappings(not args.check_only)


