class_docstr: Cauchy Distribution.
  
  The probability density function of the distribution is expressed as
  
  .. math::
      p(x;x_0,\gamma) = \frac{1}{\pi}\frac{\gamma}{(x-x_0)^2+\gamma^2}
  
  Args:
      loc(:class:`~chainer.Variable` or :ref:`ndarray`): Parameter of
          distribution representing the location :math:`x_0`.
      scale(:class:`~chainer.Variable` or :ref:`ndarray`): Parameter of
          distribution representing the scale :math:`\gamma`.
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code: def support(self):
      return "real"
  
imports: import warnings
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import distribution
  from chainer.functions.math import exponential
  from chainer.functions.math import trigonometric
  from chainer.utils import cache
label_desc: Use image node_id 14 for calling the Cauchy obj's underlying member method code with example usage: obj.support() and returns: str