code: def _testBinOp(self, a, b, out, f, types=None):
      a = ops.convert_to_tensor(value=a, dtype=np.int32)
      b = ops.convert_to_tensor(value=b, dtype=np.int32)
      if not isinstance(out, np_arrays.ndarray):
          out = ops.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.as_numpy_dtype, out_type)
          out = out.astype(out_type)
          if np.issubdtype(out_type, np.inexact):
              self.assertAllClose(out, o)
          else:
              self.assertAllEqual(out, o)
  
imports: import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.numpy_ops import np_arrays
  from tensorflow.python.ops.numpy_ops import np_math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import nest
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