code: def testSampleLikeArgsGetDistDType(self):
      dist = normal_lib.Normal(0.0, 1.0)
      self.assertEqual(dtypes.float32, dist.dtype)
      for method in (
          "log_prob",
          "prob",
          "log_cdf",
          "cdf",
          "log_survival_function",
          "survival_function",
          "quantile",
      ):
          self.assertEqual(
              dtypes.float32, getattr(dist, method)(1).dtype
          )
  
imports: import importlib
  import math
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.ops.distributions import normal
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 5 for calling the NormalTest obj's underlying member method code with example usage: obj.testSampleLikeArgsGetDistDType() without return types