





"""simple docstring"""





from math import pi, sqrt
def  __A   (_SCREAMING_SNAKE_CASE			)					->float:





  """simple docstring"""


  if num <= 0:
    raise ValueError('math domain error'			)
  if num > 1_7_1.5:
    raise OverflowError('math range error'			)
  elif num - int(_SCREAMING_SNAKE_CASE			) not in (0, 0.5):
    raise NotImplementedError('num must be an integer or a half-integer'			)
  elif num == 0.5:
    return sqrt(_SCREAMING_SNAKE_CASE			)
  else:
    return 1.0 if num == 1 else (num - 1) * gamma(num - 1			)
def  __A   ()					->None:





  """simple docstring"""


  assert gamma(0.5			) == sqrt(_SCREAMING_SNAKE_CASE			)
  assert gamma(1			) == 1.0
  assert gamma(2			) == 1.0


if __name__ == "__main__":
  from doctest import testmod

  testmod()
  __A											=		1.0
  while num:
    __A											=		float(input("""Gamma of: """))
    print(F'''gamma({num}) = {gamma(num)}''')
    print("""\nEnter 0 to exit...""")







"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__A											=		{
    """configuration_owlvit""": [
        """OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """OwlViTConfig""",
        """OwlViTOnnxConfig""",
        """OwlViTTextConfig""",
        """OwlViTVisionConfig""",
    ],
    """processing_owlvit""": ["""OwlViTProcessor"""],
}


try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A											=		["""OwlViTFeatureExtractor"""]
  __A											=		["""OwlViTImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A											=		[
      """OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """OwlViTModel""",
      """OwlViTPreTrainedModel""",
      """OwlViTTextModel""",
      """OwlViTVisionModel""",
      """OwlViTForObjectDetection""",
  ]

if TYPE_CHECKING:
  from .configuration_owlvit import (
      OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
      OwlViTConfig,
      OwlViTOnnxConfig,
      OwlViTTextConfig,
      OwlViTVisionConfig,
  )
  from .processing_owlvit import OwlViTProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_owlvit import OwlViTFeatureExtractor
    from .image_processing_owlvit import OwlViTImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_owlvit import (
        OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        OwlViTForObjectDetection,
        OwlViTModel,
        OwlViTPreTrainedModel,
        OwlViTTextModel,
        OwlViTVisionModel,
    )

else:
  import sys

  __A											=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
