code: def testIsCloseEqualNan(self, equal_nan):
      a = np.asarray([1, 1, np.nan, 1, np.nan], np.float32)
      b = np.asarray([1, 2, 1, np.nan, np.nan], np.float32)
      self.match(
          math_ops.isclose(a, b, equal_nan=equal_nan),
          np.isclose(a, b, equal_nan=equal_nan),
      )
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  from six.moves import range
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import array_ops
  from trax.tf_numpy.numpy_impl import arrays
  from trax.tf_numpy.numpy_impl import math_ops
label_desc: Use image node_id 16 for calling the MathTest obj's underlying member method code with example usage: obj.testIsCloseEqualNan(equal_nan) without return types