code: def testNaN(self):
      for dtype in (
          np.float16,
          np.float32,
          np.float64,
          dtypes.bfloat16.as_numpy_dtype,
      ):
          for nan_idx in range(0, 5):
              x = np.arange(1, 6).reshape([5]).astype(dtype)
              x[nan_idx] = np.nan
              for axis in (-1, 0):
                  self._compareAll(x, axis)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the CumsumTest obj's underlying member method code with example usage: obj.testNaN() without return types