tensorflow_probability/python/edward2/generated_random_variables.py
def _make_random_variable(distribution_cls):
  """Factory function to make random variable given distribution class."""

  @interceptable
  @functools.wraps(distribution_cls, assigned=('__module__', '__name__'))
  @docstring_util.expand_docstring(
      cls=distribution_cls.__name__,
      doc=inspect.cleandoc(distribution_cls.__init__.__doc__ or ''))
  def func(*args, **kwargs):
    # pylint: disable=g-doc-args
    """Create a random variable for ${cls}.

    See ${cls} for more details.

    Returns:
      RandomVariable.

    #### Original Docstring for Distribution

    ${doc}
    """
    # pylint: enable=g-doc-args
    sample_shape = kwargs.pop('sample_shape', ())
    value = kwargs.pop('value', None)
    return RandomVariable(distribution=distribution_cls(*args, **kwargs),
                          sample_shape=sample_shape,
                          value=value)
  return func
def _make_random_variable(distribution_cls):
  @interceptable
  @functools.wraps(distribution_cls, assigned=('__module__', '__name__'))
  @docstring_util.expand_docstring(
      cls=distribution_cls.__name__,
      doc=inspect.cleandoc(distribution_cls.__init__.__doc__ or ''))
  def func(*args, **kwargs):
    # pylint: disable=g-doc-args
    """Create a random variable for ${cls}.

    See ${cls} for more details.

    Returns:
      RandomVariable.

    #### Original Docstring for Distribution

    ${doc}
    """
    # pylint: enable=g-doc-args
    sample_shape = kwargs.pop('sample_shape', ())
    value = kwargs.pop('value', None)
    return RandomVariable(distribution=distribution_cls(*args, **kwargs),
                          sample_shape=sample_shape,
                          value=value)
  return func
def _make_random_variable ( distribution_cls ) : @ interceptable @ functools . wraps ( distribution_cls , assigned = ( '__module__' , '__name__' ) ) @ docstring_util . expand_docstring ( cls = distribution_cls . __name__ , doc = inspect . cleandoc ( distribution_cls . __init__ . __doc__ or '' ) ) def func ( * args , * * kwargs ) : # pylint: disable=g-doc-args """Create a random variable for ${cls}.

    See ${cls} for more details.

    Returns:
      RandomVariable.

    #### Original Docstring for Distribution

    ${doc}
    """ # pylint: enable=g-doc-args sample_shape = kwargs . pop ( 'sample_shape' , ( ) ) value = kwargs . pop ( 'value' , None ) return RandomVariable ( distribution = distribution_cls ( * args , * * kwargs ) , sample_shape = sample_shape , value = value ) return func
Factory function to make random variable given distribution class.
Factory function to make random variable given distribution class .