How to use test_create_download method in tox

Best Python code snippet using tox_python

test_db.py

Source:test_db.py Github

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...24 def scalar(self, db, q):25 d = db._engine.execute(q)26 result = success_result_of(d)27 return success_result_of(result.scalar())28 def test_create_download(self, db):29 logger = Logger(FakeMemoryLog())30 d = db.create_download(logger, "test-request-id", "123456789")31 success_result_of(d)32 assert self.scalar(db, db._downloads.select().count()) == 133 d = db.create_download(logger, "test-request-id-2", "987654321")34 success_result_of(d)35 assert self.scalar(db, db._downloads.select().count()) == 236 def test_get_download(self, db):37 logger = Logger(FakeMemoryLog())38 d = db.create_download(logger, "test-request-id", "123456789")39 success_result_of(d)40 download = success_result_of(db.get_download(41 logger, "test-request-id"42 ))...

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test_tests.py

Source:test_tests.py Github

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...5from src.core.singleton.sing_facade import SingFacade as SFCD6from src.model.picture import Picture7from os.path import isdir, isfile8picture = Picture()9def test_create_download() -> None:10 # creating download directory in .tests11 remove_download()12 download_mkdir()13 assert isdir(download_path())14def test_online_success() -> None:15 # image url success case16 from tests.utils.utils import image_urls17 picture.online = True18 result = None19 for image in image_urls():20 picture.name = ''21 picture.save = download_path()22 picture.source = image23 result = SFCD.facade().swap_picture_url(picture=picture)...

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test_downloads.py

Source:test_downloads.py Github

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...38 crud.downloads.create_download(db, 1, 1)39 db.close()40 def tearDown(self):41 os.remove(f'{os.getcwd()}/tests/data/test.db')42 def test_create_download(self):43 self.model = schemas.models.ModelCreate(44 name="dummy-model-2",45 description="this is a test",46 version_control="vc",47 release_terms="rt",48 outcome="outcome",49 output="output",50 output_to_trigger="ott",51 target_population="tp",52 time_of_prediction="top",53 input_data_source="ids",54 input_data_type="idt",55 training_details="td",56 model_type="mt"...

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