I’m writing a library that uses deep neural networks through PyTorch. I need to make sure that the large network architectures we’ve implemented keep working. I’ve implemented this as simple tests: create an input, create a network, pass the input through the network, check that the output has the right shape. Each one of these ..
I recently implemented integration tests on my legacy app, i get confused whe do assertion in Integration Test. in unit test we can easily mock object and its make sense to only have 1 assertion every test. but when it becomes Integration Test, I want to verify the behavior and need to check every step ..
I am pretty new to integration testing and falcon framework and having hard time to implement integration test for my apis. I have been trying to use sqllite to create a fixture data and use it instead of my database whenever i simulate a request to the actual endpoint. I’m using TestBase from falcon.testing and ..
I currently is trying to implement Integration Test. CMMIW, after googling for a few hours I often find that the testing data must always be clean up and set up like seeding data for each test case so that there is no dirty data in the testing database to avoid flaky tests using setup and ..
I often find methods that combine 2 responsibilities into 1 like the CreateOrUpdate method, I was wondering, should I test every method in Integration Test? isn’t it when we test this method is already testing everything inside it? we can just create 2 test cases, 1 for update and 1 for create? Here is my ..
All the documentation I have read mentioned that the Pool should be surrounded by a check that it’s in main. Otherwise, there is potential for an infinite loop. What I see Online to Do: if __name__ == "__main__": with Pool(processes=5) as pool: output = pool.starmap(test_func, list(tuples)) However, I am running the multiprocessing library in a ..
I am writing an integration test using Pytest framework. Test passes when I run it using VS Code UI run under the test section, however it fails when running the test in terminal using script. I need to call main.py which does the magic generates files, and I compare that files, and here is my ..
I am currently migrating data from AWS Redshift to Oracle ADW. I use postgres to create a mock database and run integration tests to simulate how my queries would run in production environment. Postgres is a good candidate for mocking Redshift database as they are similar, but that is not the case for Oracle ADW. ..
I’m just wondering whether there is any good framework for doing integration / regression tests in Python? I want to run all modules on large input data files (sensor measurements) to ensure that new changes in the code have not introduced any new defect (for every commit). Of course, I could implement such tests + ..
I need to test out multiple components. such components have tests of their own. Now I have to test that they work in sequence. also, since in some occasions, new data sometimes leads to unforeseen cases (and not usable results – I am a data scientist). most of these times these cases were not tested ..