Python Testing and Debugging

Python Testing and Debugging - Important Points

A. To measure the amount of code that is executed during testing

B. To generate test data for use in testing

C. To identify and fix errors in code

D. To simulate user interactions with a system

A. unittest.mock

B. pytest-mock

C. mockito

D. all of the above

A. A test that ensures that code changes have not introduced new errors

B. A test that measures the performance of a system under heavy loads

C. A test that simulates user interactions with a system

D. A test that verifies that code is functioning as expected

A. A test that introduces deliberate errors into the code to measure the effectiveness of tests

B. A test that simulates user interactions with a system

C. A test that verifies that code is functioning as expected

D. A test that measures the performance of a system under heavy loads

A. cProfile

B. PyCharm

C. Visual Studio Code

D. all of the above