How to use test_url_output method in localstack

Best Python code snippet using localstack_python

Experiment.py

Source: Experiment.py Github

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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,...

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test.py

Source: test.py Github

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...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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