class_docstr: A multivariate random variable.
class_docstr_tok: ["A","multivariate","random","variable","."]
code: def _pdf_single(self, x, point):
      out = self.scp_pdf(x, point)
      if x.shape[0] == 1 and point.ndim == self.space.point_ndim:
          return gs.array([out])
      return gs.from_numpy(out)
  
imports: import math
  import geomstats.backend
  from geomstats.vectorization import get_batch_shape
label_desc: Use image node_id 3 for calling the ScipyMultivariateRandomVariable obj's underlying member method code with example usage: obj._pdf_single(x, point) and returns: gs, gs