How to use _test_run_helper method in autotest

Best Python code snippet using autotest_python

train_test.py

Source:train_test.py

...478        discriminator_train_op=step.assign_add(discriminator_add,479                                               use_locking=True),480        global_step_inc_op=step.assign_add(1))481    return train_ops482  def _test_run_helper(self, create_gan_model_fn):483    random_seed.set_random_seed(1234)484    model = create_gan_model_fn()485    loss = train.gan_loss(model)486    g_opt = gradient_descent.GradientDescentOptimizer(1.0)487    d_opt = gradient_descent.GradientDescentOptimizer(1.0)488    train_ops = train.gan_train_ops(model, loss, g_opt, d_opt)489    final_step = train.gan_train(490        train_ops,491        logdir='',492        hooks=[basic_session_run_hooks.StopAtStepHook(num_steps=2)])493    self.assertTrue(np.isscalar(final_step))494    self.assertEqual(2, final_step)495  def test_run_gan(self):496    self._test_run_helper(create_gan_model)497  def test_run_callable_gan(self):498    self._test_run_helper(create_callable_gan_model)499  def test_run_infogan(self):500    self._test_run_helper(create_infogan_model)501  def test_run_callable_infogan(self):502    self._test_run_helper(create_callable_infogan_model)503  def test_run_acgan(self):504    self._test_run_helper(create_acgan_model)505  def test_run_callable_acgan(self):506    self._test_run_helper(create_callable_acgan_model)507  # Test multiple train steps.508  def _test_multiple_steps_helper(self, get_hooks_fn_fn):509    train_ops = self._gan_train_ops(generator_add=10, discriminator_add=100)510    train_steps = namedtuples.GANTrainSteps(511        generator_train_steps=3,512        discriminator_train_steps=4)513    final_step = train.gan_train(514        train_ops,515        get_hooks_fn=get_hooks_fn_fn(train_steps),516        logdir='',517        hooks=[basic_session_run_hooks.StopAtStepHook(num_steps=1)])518    self.assertTrue(np.isscalar(final_step))519    self.assertEqual(1 + 3 * 10 + 4 * 100, final_step)520  def test_multiple_steps_seq_train_steps(self):...

test_Cloudgen.py

Source:test_Cloudgen.py

...50    assert cloud.updated51    # Check resetting puts everything back to normal52    cloud.input = cirrus53    assert not cloud.updated54def _test_run_helper(cloud_dat: pathlib.Path,55                     sample_dir: pathlib.Path,56                     tmp_path: pathlib.Path) -> None:57    """Check that running :program:`cloudgen` works"""58    cloud = Cloudgen(cloud_dat)59    try:60        cloud.run(cwd=tmp_path, check=True)61    except Exception:62        raise63    else:64        assert tmp_path.joinpath(cloud_dat).exists()65        new = Cloudgen(tmp_path.joinpath(cloud_dat))66        for param, value in cloud.rc_data.items():67            assert param in new.rc_data68            assert value.strip() == new.rc_data[param].strip()69        assert all(_ in cloud.rc_data for _ in new.rc_data)70        output = tmp_path.joinpath(cloud.output_filename)71        assert output.exists()72        with netCDF4.Dataset(output, "r") as out:73            assert "variable_name" in cloud.rc_data74            variable = cloud.rc_data["variable_name"].strip()75            assert variable in out.variables76            reference = sample_dir.joinpath(new.output_filename)77            assert reference.exists()78            with netCDF4.Dataset(reference, "r") as ref:79                assert variable in ref.variables80                assert numpy.isclose(out[variable],81                                     ref[variable]).all()82    finally:83        if tmp_path.joinpath(cloud.output_filename).exists():84            tmp_path.joinpath(cloud.output_filename).unlink()85def test_run_cirrus(cirrus: pathlib.Path,86                    sample_dir: pathlib.Path,87                    tmp_path: pathlib.Path) -> None:88    """Check the cirrus clouds yield the expected results"""89    _test_run_helper(cirrus, sample_dir, tmp_path)90def test_run_stratucumulus(stratocumulus: pathlib.Path,91                           sample_dir: pathlib.Path,92                           tmp_path: pathlib.Path) -> None:93    """Check the stratocumulus clouds yield the expected results"""94    _test_run_helper(stratocumulus, sample_dir, tmp_path)95def test_str(cirrus: pathlib.Path, cirrus_expected: RCData) -> None:96    """Check converting to string preserves structure"""97    cloud = Cloudgen(cirrus)98    for line in str(cloud).splitlines():99        param, value = line.split(" ", 1)100        assert param in cirrus_expected...

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