
"""simple docstring"""



import random
def 					_UpperCAmelCase      ( __lowerCamelCase   :       list ,					__lowerCamelCase   :       List[str]		)     ->					tuple:
  _snake_case     ,					_snake_case     ,					_snake_case					     =       [], [], []
  for element in data:
    if element < pivot:
      less.append(__lowerCamelCase		)
    elif element > pivot:
      greater.append(__lowerCamelCase		)
    else:
      equal.append(__lowerCamelCase		)
  return less, equal, greater

def 					_UpperCAmelCase      ( __lowerCamelCase   :       list ,					__lowerCamelCase   :       int		)     ->					str:
  # index = len(items) // 2 when trying to find the median
  #   (value of index when items is sorted)

  # invalid input
  if index >= len(__lowerCamelCase		) or index < 0:
    return None

  _snake_case					     =       items[random.randint(0 ,					len(__lowerCamelCase		) - 1		)]
  _snake_case					     =       0
  _snake_case     ,					_snake_case     ,					_snake_case					     =       _partition(__lowerCamelCase ,					__lowerCamelCase		)
  _snake_case					     =       len(__lowerCamelCase		)
  _snake_case					     =       len(__lowerCamelCase		)

  # index is the pivot
  if m <= index < m + count:
    return pivot
  # must be in smaller
  elif m > index:
    return quick_select(__lowerCamelCase ,					__lowerCamelCase		)
  # must be in larger
  else:
    return quick_select(__lowerCamelCase ,					index - (m + count)		)





"""simple docstring"""



UpperCAmelCase__          = {
    'Pillow': 'Pillow',
    'accelerate': 'accelerate>=0.11.0',
    'compel': 'compel==0.1.8',
    'black': 'black~=23.1',
    'datasets': 'datasets',
    'filelock': 'filelock',
    'flax': 'flax>=0.4.1',
    'hf-doc-builder': 'hf-doc-builder>=0.3.0',
    'huggingface-hub': 'huggingface-hub>=0.13.2',
    'requests-mock': 'requests-mock==1.10.0',
    'importlib_metadata': 'importlib_metadata',
    'invisible-watermark': 'invisible-watermark',
    'isort': 'isort>=5.5.4',
    'jax': 'jax>=0.2.8,!=0.3.2',
    'jaxlib': 'jaxlib>=0.1.65',
    'Jinja2': 'Jinja2',
    'k-diffusion': 'k-diffusion>=0.0.12',
    'torchsde': 'torchsde',
    'note_seq': 'note_seq',
    'librosa': 'librosa',
    'numpy': 'numpy',
    'omegaconf': 'omegaconf',
    'parameterized': 'parameterized',
    'protobuf': 'protobuf>=3.20.3,<4',
    'pytest': 'pytest',
    'pytest-timeout': 'pytest-timeout',
    'pytest-xdist': 'pytest-xdist',
    'ruff': 'ruff>=0.0.241',
    'safetensors': 'safetensors',
    'sentencepiece': 'sentencepiece>=0.1.91,!=0.1.92',
    'scipy': 'scipy',
    'onnx': 'onnx',
    'regex': 'regex!=2019.12.17',
    'requests': 'requests',
    'tensorboard': 'tensorboard',
    'torch': 'torch>=1.4',
    'torchvision': 'torchvision',
    'transformers': 'transformers>=4.25.1',
    'urllib3': 'urllib3<=2.0.0',
}



