





import os
import sys
import unittest


__UpperCamelCase:	int = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
__UpperCamelCase:	int = os.path.join(git_repo_path, """src""", """diffusers""")


class       __lowerCAmelCase					(       unittest.TestCase      ):


	'''simple docstring'''





	def    snake_case__(						self:						Dict			):
			lowercase__					:      List[Any]      =		find_backend('    if not is_torch_available():'			)
			self.assertEqual(lowerCamelCase_,					'torch'			)

			# backend_with_underscore = find_backend("    if not is_tensorflow_text_available():")
			# self.assertEqual(backend_with_underscore, "tensorflow_text")

			lowercase__					:      List[Any]      =		find_backend('    if not (is_torch_available() and is_transformers_available()):'			)
			self.assertEqual(lowerCamelCase_,					'torch_and_transformers'			)

			# double_backend_with_underscore = find_backend(
			#    "    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"
			# )
			# self.assertEqual(double_backend_with_underscore, "sentencepiece_and_tensorflow_text")

			lowercase__					:      Dict      =		find_backend(
			    '    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):'			)
			self.assertEqual(lowerCamelCase_,					'torch_and_transformers_and_onnx'			)

	def    snake_case__(						self:						Tuple			):
			lowercase__					:      Optional[Any]      =		read_init()
			# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
			self.assertIn('torch',					lowerCamelCase_			)
			self.assertIn('torch_and_transformers',					lowerCamelCase_			)
			self.assertIn('flax_and_transformers',					lowerCamelCase_			)
			self.assertIn('torch_and_transformers_and_onnx',					lowerCamelCase_			)

			# Likewise, we can't assert on the exact content of a key
			self.assertIn('UNet2DModel',					objects['torch']			)
			self.assertIn('FlaxUNet2DConditionModel',					objects['flax']			)
			self.assertIn('StableDiffusionPipeline',					objects['torch_and_transformers']			)
			self.assertIn('FlaxStableDiffusionPipeline',					objects['flax_and_transformers']			)
			self.assertIn('LMSDiscreteScheduler',					objects['torch_and_scipy']			)
			self.assertIn('OnnxStableDiffusionPipeline',					objects['torch_and_transformers_and_onnx']			)

	def    snake_case__(						self:						Optional[Any]			):
			lowercase__					:      Union[str, Any]      =		create_dummy_object('CONSTANT',					'\'torch\''			)
			self.assertEqual(lowerCamelCase_,					'\nCONSTANT = None\n'			)

			lowercase__					:      List[str]      =		create_dummy_object('function',					'\'torch\''			)
			self.assertEqual(
			    lowerCamelCase_,					'\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n'			)

			lowercase__					:      int      =		'\nclass FakeClass(metaclass=DummyObject):\n    _backends = \'torch\'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, \'torch\')\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, \'torch\')\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, \'torch\')\n'
			lowercase__					:      Optional[Any]      =		create_dummy_object('FakeClass',					'\'torch\''			)
			self.assertEqual(lowerCamelCase_,					lowerCamelCase_			)





	def    snake_case__(						self:						Any			):
			lowercase__					:      Union[str, Any]      =		'# This file is autogenerated by the command `make fix-copies`, do not edit.\nfrom ..utils import DummyObject, requires_backends\n\n\nCONSTANT = None\n\n\ndef function(*args, **kwargs):\n    requires_backends(function, ["torch"])\n\n\nclass FakeClass(metaclass=DummyObject):\n    _backends = ["torch"]\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, ["torch"])\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, ["torch"])\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, ["torch"])\n'
			lowercase__					:      Dict      =		create_dummy_files({'torch': ['CONSTANT', 'function', 'FakeClass']}			)
			self.assertEqual(dummy_files['torch'],					lowerCamelCase_			)









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)


