





# Lint as: python3
import itertools
import os
import re


_A					:    Optional[Any]   =  re.compile(r'([A-Z]+)([A-Z][a-z])')
_A					:    str   =  re.compile(r'([a-z\d])([A-Z])')

_A					:    Optional[Any]   =  re.compile(r'(?<!_)_(?!_)')
_A					:    str   =  re.compile(r'(_{2,})')

_A					:    str   =  r'^\w+(\.\w+)*$'

_A					:    Optional[Any]   =  r'<>:/\|?*'



def        _a						(    UpperCAmelCase     )				->				Optional[int]:







   """simple docstring"""
   lowerCamelCase__   :						List[str]					   =							_uppercase_uppercase_re.sub(R'''\1_\2'''			,  __snake_case     )
   lowerCamelCase__   :						List[Any]					   =							_lowercase_uppercase_re.sub(R'''\1_\2'''			,  __snake_case     )
   return name.lower()



def        _a						(    UpperCAmelCase     )				->				Union[str, Any]:







   """simple docstring"""
   lowerCamelCase__   :						int					   =							_single_underscore_re.split(__snake_case     )
   lowerCamelCase__   :						Union[str, Any]					   =							[_multiple_underscores_re.split(__snake_case     ) for n in name]
   return "".join(n.capitalize() for n in itertools.chain.from_iterable(__snake_case     ) if n != ''''''     )



def        _a						(    UpperCAmelCase     )				->				Any:







   """simple docstring"""


   if os.path.basename(__snake_case     ) != name:
      raise ValueError(f"Should be a dataset name, not a path: {name}"     )
   return camelcase_to_snakecase(__snake_case     )



def        _a						(    UpperCAmelCase			,  UpperCAmelCase     )				->				Union[str, Any]:







   """simple docstring"""


   if os.path.basename(__snake_case     ) != name:
      raise ValueError(f"Should be a dataset name, not a path: {name}"     )
   if not re.match(_split_re			,  __snake_case     ):
      raise ValueError(f"Split name should match '{_split_re}'' but got '{split}'."     )
   return f"{filename_prefix_for_name(__snake_case     )}-{split}"



def        _a						(    UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase=None     )				->				str:







   """simple docstring"""
   lowerCamelCase__   :						Tuple					   =							filename_prefix_for_split(__snake_case			,  __snake_case     )
   if filetype_suffix:
      prefix += f".{filetype_suffix}"
   lowerCamelCase__   :						List[str]					   =							os.path.join(__snake_case			,  __snake_case     )
   return f"{filepath}*"




def        _a						(    UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase=None			,  UpperCAmelCase=None     )				->				Any:







   """simple docstring"""
   lowerCamelCase__   :						Tuple					   =							filename_prefix_for_split(__snake_case			,  __snake_case     )
   lowerCamelCase__   :						List[str]					   =							os.path.join(__snake_case			,  __snake_case     )

   if shard_lengths:
      lowerCamelCase__   :						int					   =							len(__snake_case     )
      lowerCamelCase__   :						Dict					   =							[f"{prefix}-{shard_id:05d}-of-{num_shards:05d}" for shard_id in range(__snake_case     )]
      if filetype_suffix:
         lowerCamelCase__   :						str					   =							[filename + f".{filetype_suffix}" for filename in filenames]
      return filenames
   else:
      lowerCamelCase__   :						List[str]					   =							prefix
      if filetype_suffix:
         filename += f".{filetype_suffix}"
      return [filename]











__UpperCAmelCase								=						{
    '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',
}






