class_docstr: Test the dtype to verify that the behavior matches JAX.
class_docstr_tok: ["Test","the","dtype","to","verify","that","the","behavior","matches","JAX","."]
code: def test_result_type_with_tensor(self, dtype1, dtype2):
      import jax.numpy as jnp
  
      x1 = ops.ones((1,), dtype=dtype1)
      x2 = ops.ones((1,), dtype=dtype2)
      x1_jax = jnp.ones((1,), dtype=dtype1)
      x2_jax = jnp.ones((1,), dtype=dtype2)
  
      out = backend.result_type(x1.dtype, x2.dtype)
      expected = jnp.result_type(x1_jax, x2_jax).name
      self.assertEqual(out, expected)
  
imports: from absl.testing import parameterized
  from keras import backend
  from keras import ops
  from keras.backend.common import dtypes
  from keras.backend.common.variables import ALLOWED_DTYPES
  from keras.testing import test_case
  from keras.testing.test_utils import named_product
label_desc: Use image node_id 4 for calling the DtypesTest obj's underlying member method code with example usage: obj.test_result_type_with_tensor(dtype1, dtype2) without return types