code: def __mul__(self, other):
      try:
          return Domain(
              [v * other for v in self.vals],
              self.dtype,
              (self.lower * other, self.upper * other),
              self.shape,
          )
      except TypeError:
          return Domain(
              [v * other for v in self.vals],
              self.dtype,
              (self.lower, self.upper),
              self.shape,
          )
  
imports: import functools
  import itertools
  from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
  import numpy
  import pytensor
  import pytensor.tensor
  import pytest
  from numpy import random
  from numpy import testing
  from pytensor.compile.mode import Mode
  from pytensor.graph.basic import Variable
  from pytensor.graph.rewriting.basic import in2out
  from pytensor.tensor import TensorVariable
  from scipy import special
  from scipy import stats
  import pymc
  from pymc.distributions.distribution import Distribution
  from pymc.distributions.shape_utils import change_dist_size
  from pymc.initial_point import make_initial_point_fn
  from pymc.logprob.basic import icdf, logcdf, logp, transformed_conditional_logp
  from pymc.logprob.utils import ParameterValueError, local_check_parameter_to_ninf_switch, rvs_in_graph
  from pymc.pytensorf import compile_pymc, floatX, inputvars, intX
label_desc: Use image node_id 3 for calling the Domain obj's underlying member method code with example usage: obj.__mul__(other) and returns: Domain, Domain