code: def standard_t(df, size=None, dtype=float):
      """Standard Student's t distribution.
  
      Returns an array of samples drawn from the standard Student's t
      distribution. Its probability density function is defined as
  
      .. math::
          f(x) = \\frac{\\Gamma(\\frac{\\nu+1}{2})} \
              {\\sqrt{\\nu\\pi}\\Gamma(\\frac{\\nu}{2})} \
              \\left(1 + \\frac{x^2}{\\nu} \\right)^{-(\\frac{\\nu+1}{2})}.
  
      Args:
          df (float or array_like of floats): Degree of freedom :math:`\\nu`.
          size (int or tuple of ints): The shape of the array. If ``None``, a
              zero-dimensional array is generated.
          dtype: Data type specifier. Only :class:`numpy.float32` and
              :class:`numpy.float64` types are allowed.
  
      Returns:
          cupy.ndarray: Samples drawn from the standard Student's t distribution.
  
      .. seealso::
          :func:`numpy.random.standard_t`
      """
      rs = _generator.get_random_state()
      return rs.standard_t(df, size, dtype)
  
imports: from cupy.random import _generator
  from cupy import _util
label_desc: Use image node_id 28 for calling a global function with example usage: standard_t(df, size, dtype) and returns: rs