class_docstr: Stack StochasticBlock sequentially.
      
class_docstr_tok: ["Stack","StochasticBlock","sequentially","."]
code: def __repr__(self):
      s = "{name}(\n{modstr}\n)"
      modstr = "\n".join(
          [
              "  ({key}): {block}".format(
                  key=key, block=_indent(block().__repr__(), 2)
              )
              for key, block in self._children.items()
          ]
      )
      return s.format(name=self.__class__.__name__, modstr=modstr)
  
file_path: mxnet/python/mxnet/gluon/probability/block/stochastic_block.py
imports: from functools import wraps
  from ...block import HybridBlock
  from ...utils import _indent
label_desc: Use image node_id 4 for calling the StochasticSequential obj's underlying member method code with example usage: obj.__repr__() and returns: s