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How to use setup_and_tear_down method in localstack

Best Python code snippet using localstack_python

test_pytorch_model_pytest.py

Source:test_pytorch_model_pytest.py

...49        "paris",50    )51]52@pytest.fixture(scope="function", autouse=True)53def setup_and_tear_down():54    ES_TEST_CLIENT.cluster.put_settings(55        body={"transient": {"logger.org.elasticsearch.xpack.ml": "DEBUG"}}56    )57    yield58    for model_id, _, _, _ in TEXT_PREDICTION_MODELS:59        model = PyTorchModel(ES_TEST_CLIENT, model_id.replace("/", "__").lower()[:64])60        model.stop()61        model.delete()62def download_model_and_start_deployment(tmp_dir, quantize, model_id, task):63    print("Loading HuggingFace transformer tokenizer and model")64    tm = TransformerModel(model_id, task, quantize)65    model_path, config_path, vocab_path = tm.save(tmp_dir)66    ptm = PyTorchModel(ES_TEST_CLIENT, tm.elasticsearch_model_id())67    ptm.stop()...

conftest.py

Source:conftest.py

1import pytest2from test_base.web_driver_factory import WebDriverFactory3@pytest.fixture(autouse=True)4def setup_and_tear_down():5    '''6    Everything that happens before and after a test is run7    '''8    driver = WebDriverFactory.get_driver()9    driver.get("https://www.saucedemo.com/")10    yield...

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