How to use _test_run_helper method in autotest

Best Python code snippet using autotest_python

train_test.py

Source:train_test.py Github

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...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):...

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test_Cloudgen.py

Source:test_Cloudgen.py Github

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...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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