code: def reconstruct(self, t:Tensor, x:Tensor=None):
          "Reconstruct one of the underlying item for its data `t`."
          return self[0].reconstruct(t,x) if has_arg(self[0].reconstruct, 'x') else self[0].reconstruct(tf reconstruct(self, t:Tensor, x:Tensor=None):
          "Reconstruct one of the underlying item for its data `t`."
          return self[0].reconstruct(t,x) if has_arg(self[0].reconstruct, 'x') else self[0].reconstruct(t)
docs: Reconstruct one of the underlying item for its data `t`.