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Python Programming - Testing

Exercise : Testing - General Questions
  • Testing - General Questions
31.
What does the Python unittest.mock.call_args attribute represent?
The call arguments of a function or method
The return value of a function or method
The number of calls to a function or method
The side effect of a function or method
Answer: Option
Explanation:
The unittest.mock.call_args attribute represents the call arguments of a function or method in Python unittest.mock.
32.
What is the purpose of the unittest.mock.patch.object decorator?
Decorates a test method with a patch for a specific object's method
Skips a test method based on a condition
Creates a magical mock object for all methods of a specific object
Marks a test as skipped
Answer: Option
Explanation:
The unittest.mock.patch.object decorator in Python is used to decorate a test method with a patch for a specific object's method.
33.
What does the Python unittest.TestCase.skip method do?
Skips the entire test case
Skips the next test method
Skips the next test case
Skips the test based on a condition
Answer: Option
Explanation:
The unittest.TestCase.skip method is used to skip the entire test case in Python unittest.
34.
In Python's `unittest` module, what does the assertIsNone method check?
If a value is within a specified range
If a condition is True
If a value is None
If two values are equal
Answer: Option
Explanation:
The assertIsNone method in the unittest module checks if a value is None during testing.
35.
What does the Python unittest.mock.call_args_list attribute represent?
The call arguments of a function or method
The return value of a function or method
The number of calls to a function or method
The side effect of a function or method
Answer: Option
Explanation:
The unittest.mock.call_args_list attribute represents the call arguments of a function or method in Python unittest.mock.
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