


__lowerCAmelCase	: Any  				={
    'Pillow': 'Pillow<10.0.0',
    'accelerate': 'accelerate>=0.20.3',
    'av': 'av==9.2.0',
    'beautifulsoup4': 'beautifulsoup4',
    'black': 'black~=23.1',
    'codecarbon': 'codecarbon==1.2.0',
    'cookiecutter': 'cookiecutter==1.7.3',
    'dataclasses': 'dataclasses',
    'datasets': 'datasets!=2.5.0',
    'decord': 'decord==0.6.0',
    'deepspeed': 'deepspeed>=0.9.3',
    'diffusers': 'diffusers',
    'dill': 'dill<0.3.5',
    'evaluate': 'evaluate>=0.2.0',
    'fairscale': 'fairscale>0.3',
    'faiss-cpu': 'faiss-cpu',
    'fastapi': 'fastapi',
    'filelock': 'filelock',
    'flax': 'flax>=0.4.1,<=0.7.0',
    'ftfy': 'ftfy',
    'fugashi': 'fugashi>=1.0',
    'GitPython': 'GitPython<3.1.19',
    'hf-doc-builder': 'hf-doc-builder>=0.3.0',
    'huggingface-hub': 'huggingface-hub>=0.14.1,<1.0',
    'importlib_metadata': 'importlib_metadata',
    'ipadic': 'ipadic>=1.0.0,<2.0',
    'isort': 'isort>=5.5.4',
    'jax': 'jax>=0.2.8,!=0.3.2,<=0.4.13',
    'jaxlib': 'jaxlib>=0.1.65,<=0.4.13',
    'jieba': 'jieba',
    'kenlm': 'kenlm',
    'keras-nlp': 'keras-nlp>=0.3.1',
    'librosa': 'librosa',
    'nltk': 'nltk',
    'natten': 'natten>=0.14.6',
    'numpy': 'numpy>=1.17',
    'onnxconverter-common': 'onnxconverter-common',
    'onnxruntime-tools': 'onnxruntime-tools>=1.4.2',
    'onnxruntime': 'onnxruntime>=1.4.0',
    'opencv-python': 'opencv-python',
    'optuna': 'optuna',
    'optax': 'optax>=0.0.8,<=0.1.4',
    'packaging': 'packaging>=20.0',
    'parameterized': 'parameterized',
    'phonemizer': 'phonemizer',
    'protobuf': 'protobuf',
    'psutil': 'psutil',
    'pyyaml': 'pyyaml>=5.1',
    'pydantic': 'pydantic<2',
    'pytest': 'pytest>=7.2.0',
    'pytest-timeout': 'pytest-timeout',
    'pytest-xdist': 'pytest-xdist',
    'python': 'python>=3.8.0',
    'ray[tune]': 'ray[tune]',
    'regex': 'regex!=2019.12.17',
    'requests': 'requests',
    'rhoknp': 'rhoknp>=1.1.0,<1.3.1',
    'rjieba': 'rjieba',
    'rouge-score': 'rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1',
    'ruff': 'ruff>=0.0.241,<=0.0.259',
    'sacrebleu': 'sacrebleu>=1.4.12,<2.0.0',
    'sacremoses': 'sacremoses',
    'safetensors': 'safetensors>=0.3.1',
    'sagemaker': 'sagemaker>=2.31.0',
    'scikit-learn': 'scikit-learn',
    'sentencepiece': 'sentencepiece>=0.1.91,!=0.1.92',
    'sigopt': 'sigopt',
    'starlette': 'starlette',
    'sudachipy': 'sudachipy>=0.6.6',
    'sudachidict_core': 'sudachidict_core>=20220729',
    'tensorflow-cpu': 'tensorflow-cpu>=2.6,<2.14',
    'tensorflow': 'tensorflow>=2.6,<2.14',
    'tensorflow-text': 'tensorflow-text<2.14',
    'tf2onnx': 'tf2onnx',
    'timeout-decorator': 'timeout-decorator',
    'timm': 'timm',
    'tokenizers': 'tokenizers>=0.11.1,!=0.11.3,<0.14',
    'torch': 'torch>=1.9,!=1.12.0',
    'torchaudio': 'torchaudio',
    'torchvision': 'torchvision',
    'pyctcdecode': 'pyctcdecode>=0.4.0',
    'tqdm': 'tqdm>=4.27',
    'unidic': 'unidic>=1.0.2',
    'unidic_lite': 'unidic_lite>=1.0.7',
    'urllib3': 'urllib3<2.0.0',
    'uvicorn': 'uvicorn',
}


"""simple docstring"""





import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
_a		       =							'src/diffusers'

# Matches is_xxx_available()
_a		       =							re.compile(R'is\_([a-z_]*)_available\(\)')
# Matches from xxx import bla
_a		       =							re.compile(R'\s+from\s+\S*\s+import\s+([^\(\s].*)\n')


_a		       =							'\n{0} = None\n'

_a		       =							'\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n'


_a		       =							'\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'







def 	__a     (		__lowerCamelCase  ):
   UpperCAmelCase_					:					int			     =    _re_backend.findall(__lowerCamelCase  )
   if len(__lowerCamelCase  ) == 0:
      return None

   return "_and_".join(__lowerCamelCase  )







def 	__a     (		):
   with open(os.path.join(__lowerCamelCase,		"__init__.py"  ),		"r",		encoding="utf-8",		newline="\n"  ) as f:
      UpperCAmelCase_					:					Optional[int]			     =    f.readlines()

   # Get to the point we do the actual imports for type checking
   UpperCAmelCase_					:					Union[str, Any]			     =    0
   UpperCAmelCase_					:					Optional[int]			     =    {}
   # Go through the end of the file
   while line_index < len(__lowerCamelCase  ):
      # If the line contains is_backend_available, we grab all objects associated with the `else` block
      UpperCAmelCase_					:					Union[str, Any]			     =    find_backend(lines[line_index]  )
      if backend is not None:
         while not lines[line_index].startswith("else:"  ):
            line_index += 1
         line_index += 1
         UpperCAmelCase_					:					List[str]			     =    []
         # Until we unindent, add backend objects to the list
         while line_index < len(__lowerCamelCase  ) and len(lines[line_index]  ) > 1:
            UpperCAmelCase_					:					Union[str, Any]			     =    lines[line_index]
            UpperCAmelCase_					:					Optional[Any]			     =    _re_single_line_import.search(__lowerCamelCase  )
            if single_line_import_search is not None:
               objects.extend(single_line_import_search.groups()[0].split(", "  )  )
            elif line.startswith(" " * 8  ):
               objects.append(line[8:-2]  )
            line_index += 1

         if len(__lowerCamelCase  ) > 0:
            UpperCAmelCase_					:					Optional[int]			     =    objects
      else:
         line_index += 1

   return backend_specific_objects







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   if name.isupper():
      return DUMMY_CONSTANT.format(__lowerCamelCase  )
   elif name.islower():
      return DUMMY_FUNCTION.format(__lowerCamelCase,		__lowerCamelCase  )
   else:
      return DUMMY_CLASS.format(__lowerCamelCase,		__lowerCamelCase  )







def 	__a     (		__lowerCamelCase=None  ):
   if backend_specific_objects is None:
      UpperCAmelCase_					:					Tuple			     =    read_init()
   # For special correspondence backend to module name as used in the function requires_modulename
   UpperCAmelCase_					:					str			     =    {}

   for backend, objects in backend_specific_objects.items():
      UpperCAmelCase_					:					int			     =    "[" + ", ".join(f"""\"{b}\"""" for b in backend.split("_and_"  )  ) + "]"
      UpperCAmelCase_					:					Dict			     =    "# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
      dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
      dummy_file += "\n".join([create_dummy_object(__lowerCamelCase,		__lowerCamelCase  ) for o in objects]  )
      UpperCAmelCase_					:					int			     =    dummy_file

   return dummy_files







def 	__a     (		__lowerCamelCase=False  ):
   UpperCAmelCase_					:					Optional[Any]			     =    create_dummy_files()
   # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
   UpperCAmelCase_					:					Union[str, Any]			     =    {"torch": "pt"}

   # Locate actual dummy modules and read their content.
   UpperCAmelCase_					:					List[str]			     =    os.path.join(__lowerCamelCase,		"utils"  )
   UpperCAmelCase_					:					Optional[int]			     =    {
       backend: os.path.join(__lowerCamelCase,		f"""dummy_{short_names.get(__lowerCamelCase,		__lowerCamelCase  )}_objects.py"""  )
       for backend in dummy_files.keys()
   }

   UpperCAmelCase_					:					Any			     =    {}
   for backend, file_path in dummy_file_paths.items():
      if os.path.isfile(__lowerCamelCase  ):
         with open(__lowerCamelCase,		"r",		encoding="utf-8",		newline="\n"  ) as f:
            UpperCAmelCase_					:					Optional[int]			     =    f.read()
      else:
         UpperCAmelCase_					:					Any			     =    ""

   for backend in dummy_files.keys():
      if dummy_files[backend] != actual_dummies[backend]:
         if overwrite:
            print(
                f"""Updating diffusers.utils.dummy_{short_names.get(__lowerCamelCase,		__lowerCamelCase  )}_objects.py as the main """
                "__init__ has new objects."  )
            with open(dummy_file_paths[backend],		"w",		encoding="utf-8",		newline="\n"  ) as f:
               f.write(dummy_files[backend]  )
         else:
            raise ValueError(
                "The main __init__ has objects that are not present in "
                f"""diffusers.utils.dummy_{short_names.get(__lowerCamelCase,		__lowerCamelCase  )}_objects.py. Run `make fix-copies` """
                "to fix this."  )


if __name__ == "__main__":
    _a		       =							argparse.ArgumentParser()
    parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
    _a		       =							parser.parse_args()

    check_dummies(args.fix_and_overwrite)


