code: def test_is_floating(self, dtype, expected):
      if NUMPY_MODE and dtype == "bfloat16":
          self.skipTest("No bfloat16 in numpy")
      self.assertEqual(dtype_util.is_floating(dtype), expected)
  
imports: import dataclasses
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the FloatDTypeTest obj's underlying member method code with example usage: obj.test_is_floating(dtype, expected) without return types