code: def _testBinOp(self, a, b, out, f, types=None):
      a = t2a(tf.convert_to_tensor(value=a, dtype=np.int32))
      b = t2a(tf.convert_to_tensor(value=b, dtype=np.int32))
      if not isinstance(out, arrays.ndarray):
          out = t2a(tf.convert_to_tensor(value=out, dtype=np.int32))
      if types is None:
          types = [
              [np.int32, np.int32, np.int32],
              [np.int64, np.int32, np.int64],
              [np.int32, np.int64, np.int64],
              [np.float32, np.int32, np.float64],
              [np.int32, np.float32, np.float64],
              [np.float32, np.float32, np.float32],
              [np.float64, np.float32, np.float64],
              [np.float32, np.float64, np.float64],
          ]
      for a_type, b_type, out_type in types:
          o = f(a.astype(a_type), b.astype(b_type))
          self.assertIs(o.dtype.type, out_type)
          self.assertAllEqual(out.astype(out_type), o)
  
imports: from collections import abc
  import numpy
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import arrays
  from trax.tf_numpy.numpy_impl import math_ops
label_desc: Use image node_id 4 for calling the ArrayTest obj's underlying member method code with example usage: obj._testBinOp(a, b, out, f, types) without return types