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How to use _create_config method in avocado
Best Python code snippet using avocado_python
test_config.py
Source:test_config.py 
...6 self._file = "a_file_path.ini"7 self._mock_file_manager = MagicMock()8 def test_new_config_has_no_items(self):9 # Act10 conf = self._create_config()11 # Assert12 items = conf.get_items()13 self.assertEqual(len(items), 0)14 def test_an_item_of_given_class_tag_and_default_value_can_be_added_to_config(self):15 # Arrange16 conf = self._create_config()17 tag = "Camera Number"18 default = -119 expected_value = None20 # Act21 conf.add(IntConfigItem, tag, default);22 # Assert23 item = conf.get_items()[0]24 self.assertTrue(isinstance(item, IntConfigItem))25 self.assertEqual(item.tag(), tag)26 self.assertEqual(item._default, default)27 self.assertEqual(item.value(), expected_value)28 def test_an_item_of_given_class_tag_default_value_and_extra_arg_can_be_added_to_config(self):29 # Arrange30 conf = self._create_config()31 tag = "Length"32 default = 10133 expected_value = None34 units = "m"35 # Act36 conf.add(IntConfigItem, tag, default, units)37 # Assert38 item = conf.get_items()[0]39 self.assertTrue(isinstance(item, IntConfigItem))40 self.assertEqual(item.tag(), tag)41 self.assertEqual(item._default, default)42 self.assertEqual(item.units(), units)43 self.assertEqual(item.value(), expected_value)44 def test_reset_all_sets_value_of_all_items_to_default(self):45 # Arrange46 conf = self._create_config()47 default_number = 048 default_width = 10049 new_number = 15550 new_width = 1551 conf.add(IntConfigItem, "Camera Number", default_number);52 conf.add(IntConfigItem, "Puck Camera Width", default_width)53 number_item = conf.get_items()[0]54 width_item = conf.get_items()[1]55 number_item.set(new_number)56 width_item.set(new_width)57 self.assertEqual(number_item.value(), new_number)58 self.assertEqual(width_item.value(), new_width)59 # Act60 conf.reset_all()61 # Assert62 self.assertEqual(number_item.value(), default_number)63 self.assertEqual(width_item.value(), default_width)64 def test_config_can_be_saved_to_file(self):65 # Arrange66 conf = self._create_config()67 conf.add(IntConfigItem, "Camera Number", -1, "m");68 conf.add(IntConfigItem, "Puck Camera Width", 100, "m")69 conf.add(IntConfigItem, "Puck Camera Height", 50, "m")70 camera_number_item = conf.get_items()[0]71 camera_w_item = conf.get_items()[1]72 camera_h_item = conf.get_items()[2]73 camera_number_item.set(155)74 camera_w_item.set(15)75 camera_h_item.set(3)76 expected_lines = []77 expected_lines.append(camera_number_item.to_file_string())78 expected_lines.append(camera_w_item.to_file_string())79 expected_lines.append(camera_h_item.to_file_string())80 # Act81 conf.save_to_file()82 # Assert83 self._mock_file_manager.write_lines.assert_called_once_with(self._file, expected_lines)84 def test_initialise_from_file_creates_new_file_using_default_values_if_the_given_file_does_not_exist(self):85 # Arrange86 self._mock_file_manager.is_file.return_value = False87 conf = self._create_config()88 default_value = 23489 conf.add(IntConfigItem, "Camera Number", default_value, "m");90 camera_number_item = conf.get_items()[0]91 self.assertIsNone(camera_number_item.value())92 # Act93 conf.initialize_from_file()94 # Assert95 self.assertEqual(camera_number_item.value(), default_value)96 expected_file_content = [camera_number_item.to_file_string()]97 self._mock_file_manager.write_lines.assert_called_once_with(self._file, expected_file_content)98 def test_initialise_from_file_does_not_write_to_file_if_the_given_file_exists(self):99 # Arrange100 self._mock_file_manager.is_file.return_value = True101 conf = self._create_config()102 conf.add(IntConfigItem, "Camera Number", 22, "m");103 # Act104 conf.initialize_from_file()105 # Assert106 self._mock_file_manager.write_lines.assert_not_called()107 def test_initialise_from_file_sets_default_if_pattern_broken_in_the_file(self):108 # Arrange109 self._mock_file_manager.is_file.return_value = True110 self._mock_file_manager.read_lines.return_value = ["Side Camera Number===1\n"]111 conf = self._create_config()112 default = 33113 conf.add(IntConfigItem, "Side Camera Number", default)114 item = conf.get_items()[0]115 self.assertIsNone(item.value())116 # Act117 conf.initialize_from_file()118 # Assert119 self.assertEqual(item.value(), default)120 def test_initialise_from_file_sets_default_if_tags_dont_match(self):121 # Arrange122 self._mock_file_manager.is_file.return_value = True123 self._mock_file_manager.read_lines.return_value = ["BadTagg=60\n"]124 conf = self._create_config()125 default = 500126 conf.add(IntConfigItem, "BadTag", default)127 item = conf.get_items()[0]128 self.assertIsNone(item.value())129 # Act130 conf.initialize_from_file()131 # Assert132 self.assertEqual(item.value(), default)133 def test_initialize_from_file_sets_value_from_file_if_tags_match(self):134 # Arrange135 expected_value = 10136 self._mock_file_manager.is_file.return_value = True137 self._mock_file_manager.read_lines.return_value = ["Camera Number=" + str(expected_value) + "\n"]138 conf = self._create_config()139 conf.add(IntConfigItem, "Camera Number", -1)140 # Act141 conf.initialize_from_file()142 # Assert143 item = conf.get_items()[0]144 self.assertEqual(item.value(), expected_value)145 def _create_config(self):...
test_utils_hydra_config.py
Source:test_utils_hydra_config.py
...5from typing import List6from vissl.utils.hydra_config import compose_hydra_configuration, convert_to_attrdict7class TestUtilsHydraConfig(unittest.TestCase):8 @staticmethod9 def _create_config(overrides: List[str]):10 cfg = compose_hydra_configuration(overrides)11 args, config = convert_to_attrdict(cfg, dump_config=False)12 return config13 def test_composition_order(self):14 """15 Following Hydra 1.1 update, the composition order is modified:16 https://hydra.cc/docs/upgrades/1.0_to_1.1/default_composition_order/17 This test verifies that the composition order is working on18 the hydra version installed by the user.19 """20 # Create a pre-training configuration for SwAV and21 # ensure that the composition was done correctly22 config = self._create_config(23 [24 "config=test/integration_test/quick_swav",25 "config.DATA.TRAIN.DATA_SOURCES=[synthetic]",26 "config.DATA.TRAIN.DATA_LIMIT=40",27 "config.DATA.TRAIN.BATCHSIZE_PER_REPLICA=4",28 "config.DISTRIBUTED.NUM_PROC_PER_NODE=2",29 ]30 )31 self.assertEqual("swav_loss", config.LOSS.name)32 self.assertEqual(2, config.DISTRIBUTED.NUM_PROC_PER_NODE)33 def test_inference_of_fsdp_settings_for_swav_pretraining(self):34 overrides = [35 "config=pretrain/swav/swav_8node_resnet",36 "+config/pretrain/swav/models=regnet16Gf",37 "config.MODEL.AMP_PARAMS.USE_AMP=True",38 "config.OPTIMIZER.use_larc=True",39 ]40 cfg = self._create_config(overrides)41 self.assertEqual(cfg["MODEL"]["AMP_PARAMS"]["AMP_TYPE"], "apex")42 self.assertEqual(cfg.MODEL.HEAD.PARAMS[0][0], "swav_head")43 self.assertEqual(cfg.MODEL.TRUNK.NAME, "regnet")44 self.assertEqual(cfg.TRAINER.TASK_NAME, "self_supervision_task")45 self.assertEqual(cfg.OPTIMIZER.name, "sgd")46 cfg = self._create_config(47 overrides + ["config.MODEL.FSDP_CONFIG.AUTO_SETUP_FSDP=True"]48 )49 self.assertEqual(cfg["MODEL"]["AMP_PARAMS"]["AMP_TYPE"], "pytorch")50 self.assertEqual(cfg.MODEL.HEAD.PARAMS[0][0], "swav_head_fsdp")51 self.assertEqual(cfg.MODEL.TRUNK.NAME, "regnet_fsdp")52 self.assertEqual(cfg.TRAINER.TASK_NAME, "self_supervision_fsdp_task")53 self.assertEqual(cfg.OPTIMIZER.name, "sgd_fsdp")54 def test_inference_of_fsdp_settings_for_linear_evaluation(self):55 overrides = [56 "config=debugging/benchmark/linear_image_classification/eval_resnet_8gpu_transfer_imagenette_160",57 "+config/debugging/benchmark/linear_image_classification/models=regnet16Gf_mlp",58 ]59 cfg = self._create_config(overrides)60 self.assertEqual(cfg.MODEL.HEAD.PARAMS[0][0], "mlp")61 self.assertEqual(cfg.MODEL.TRUNK.NAME, "regnet")62 self.assertEqual(cfg.TRAINER.TASK_NAME, "self_supervision_task")63 cfg = self._create_config(64 overrides + ["config.MODEL.FSDP_CONFIG.AUTO_SETUP_FSDP=True"]65 )66 self.assertEqual(cfg.MODEL.HEAD.PARAMS[0][0], "mlp_fsdp")67 self.assertEqual(cfg.MODEL.TRUNK.NAME, "regnet_fsdp")68 self.assertEqual(cfg.TRAINER.TASK_NAME, "self_supervision_fsdp_task")69 def test_inference_of_fsdp_settings_for_linear_evaluation_with_bn(self):70 overrides = [71 "config=debugging/benchmark/linear_image_classification/eval_resnet_8gpu_transfer_imagenette_160",72 "+config/debugging/benchmark/linear_image_classification/models=regnet16Gf_eval_mlp",73 ]74 cfg = self._create_config(overrides)75 self.assertEqual(cfg.MODEL.HEAD.PARAMS[0][0], "eval_mlp")76 self.assertEqual(cfg.MODEL.TRUNK.NAME, "regnet")77 self.assertEqual(cfg.TRAINER.TASK_NAME, "self_supervision_task")78 cfg = self._create_config(79 overrides + ["config.MODEL.FSDP_CONFIG.AUTO_SETUP_FSDP=True"]80 )81 self.assertEqual(cfg.MODEL.HEAD.PARAMS[0][0], "eval_mlp_fsdp")82 self.assertEqual(cfg.MODEL.TRUNK.NAME, "regnet_fsdp")...
test-config.py
Source:test-config.py
2import saplib3import unittest4class TestConfig(unittest.TestCase, fixtures.RepoFixture):5 def test_empty_config(self):6 self.assertEquals(0, len(self._create_config("splits = []").splits))7 self.assertEquals(0, len(self._create_config("").splits))8 self.assertEquals(0, len(self._create_config().splits))9 def test_invalid_split(self):10 self._assert_config_error("splits = [{}]")11 self._assert_config_error("splits = [{'paths': []}]")12 def test_simple_split(self):13 config = self._create_config("""14test = {15 'name': 'test',16 'paths': [17 'test',18 ]19}20splits = [ test ]""")21 self.assertTrue('test' in config.splits)22 split = config.splits['test']23 self.assertEquals('test', split.name)24 self.assertEquals(['test'], split.paths)25 def _assert_config_error(self, config):26 self.assertRaises(saplib.ConfigError, saplib.Config, self.repo(), config)27 def _create_config(self, config = None):...
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