class_docstr: A class representing probability distributions.
class_docstr_tok: ["A","class","representing","probability","distributions","."]
code: def __getitem__(self, item):
      sliced_distr = self.__class__(
          *[_index_tensor(arg, item) for arg in self.args]
      )
      assert isinstance(sliced_distr, type(self))
      return sliced_distr
  
imports: from typing import cast, Any, List, Optional, Tuple
  import mxnet
  import numpy
  from mxnet import autograd
  from gluonts.mx import Tensor
label_desc: Use image node_id 21 for calling the Distribution obj's underlying member method code with example usage: obj.__getitem__(item) and returns: sliced_distr