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How to use test_url_output method in localstack

Best Python code snippet using localstack_python

Experiment.py

Source:Experiment.py

1from Data_Preprocessing import Data_Preprocessing_API2from Face_Name_Matching import Face_Name_Matching_API3from URL_Matching import URL_Matching_API4import Model_Ensembling5import os6from Image_Caption import Image_Cap_API7def create_folder(path):8    """9    create a folder if not exist10    :param path: path of the folder11    """12    isExist = os.path.exists(path)13    if not isExist:14        os.makedirs(path)15def create_all_folder():16    """17    create required folders18    """19    create_folder('processed_data')20    create_folder('img')21    create_folder(r'processed_data/data')22    create_folder(r'processed_data/img')23    create_folder('result')24def data_prepare():25    """26    data preparation27    """28    dpi = Data_Preprocessing_API()29    dpi.load_img()30    dpi.reformat_data()31    dpi.translate_title()32    Face_Name_Matching_API().create_train_data()33def eval(eval_face_tr_result, eval_face_crawl_result, eval_cap_result, eval_url_output):34    """35    evaluating the model performance on evaluation data36    :param eval_face_tr_result: file path of evaluation result from face name matching result37    (model is trained with face images in training dataset)38    :param eval_face_crawl_result: file path of evaluation result from face name matching result39    (model is trained with crawled face images)40    :param eval_cap_result: file path of evaluation result from image caption based method41    :param eval_url_output: file path of evaluation result from url matching based method42    """43    Face_Name_Matching_API().evaluate(eval_face_tr_result, eval_face_crawl_result)44    URL_Matching_API().evaluate(eval_url_output)45    Image_Cap_API().evaluate(eval_cap_result)46def predict(face_tr_result, face_crawl_result, test_cap_result, test_url_output,47            weight_cap, weight_img, final_output_result):48    """49    :param face_tr_result: file path of prediction from face name matching result50    (model is trained with face images in training dataset)51    :param face_crawl_result: file path of prediction from face name matching result52    (model is trained with crawled face images)53    :param test_cap_result: file path of prediction from image caption based method54    :param test_url_output: file path of prediction from url matching based method55    :param weight_cap: ensembling weights of image caption based model56    :param weight_img: ensembling weights of face-name matching based model57    :param final_output_result: file path of final result58    """59    Face_Name_Matching_API().test(face_tr_result, face_crawl_result)60    test_url_result = URL_Matching_API().test(test_url_output)61    Image_Cap_API().test(test_cap_result)62    Model_Ensembling().ensemble_model(test_cap_result, face_tr_result, face_crawl_result,...

test.py

Source:test.py

...11    with patch('requests.get') as mock_request:12        app()13        mock_request.assert_called_once_with("https://assets.breatheco.de/apis/fake/sample/time.php")14@pytest.mark.it("You should print on the console a stirng like: Current time: 19 hrs 45 min and 06 sec")15def test_url_output(capsys, app):16    with patch('requests.get') as mock_request:17        mock_request.return_value = FakeResponse()18        app()19        captured = capsys.readouterr()...

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