First install pytest: pip install pytest; 2. Write the code under test add and divide functions; 3. Write the test file to include normal tests, exception tests and parameterized tests; 4. Use the pytest -v command to run the test; 5. Optionally install pytest-cov to view the test coverage. This example fully demonstrates the basic usage of pytest, which is suitable for beginners to quickly get started and understand the testing process.
Below is a simple and practical Python pytest
example, suitable for beginners to get started quickly. It shows how to write test cases, use assertions, test exceptions, and simple parameterized tests.

? 1. Install pytest
If you haven't installed pytest
yet, run it first:
pip install pytest
? 2. The code being tested ( math_utils.py
)
Create a file math_utils.py
with a simple addition function:

# math_utils.py def add(a, b): return ab def divide(a, b): if b == 0: raise ValueError("Cannot divide by zero") return a / b
? 3. Write test files ( test_math_utils.py
)
Create a test file test_math_utils.py
:
# test_math_utils.py import pytest from math_utils import add, divide # Test the add function def test_add(): assert add(2, 3) == 5 assert add(-1, 1) == 0 assert add(0, 0) == 0 # Test the normal situation of the divide function def test_divide(): assert divide(10, 2) == 5 assert divide(9, 3) == 3 # Test divide throws exception def test_divide_by_zero(): with pytest.raises(ValueError, match="Cannot divide by zero"): divide(10, 0) # Parameterized test: test the add function with multiple inputs @pytest.mark.parametrize("a, b, expected", [ (2, 3, 5), (-1, 1, 0), (0, 0, 0), (100, -50, 50), ]) def test_add_parametriized(a, b, expected): assert add(a, b) == expected
? 4. Run the test
Run in the terminal:

pytest test_math_utils.py -v
The output is similar:
test_math_utils.py::test_add PASSED test_math_utils.py::test_divide PASSED test_math_utils.py::test_divide_by_zero PASSED test_math_utils.py::test_add_parametriized[2-3-5] PASSED test_math_utils.py::test_add_parametriized[-1-1-0] PASSED ...
Adding -v
is to display detailed results.
? 5. Common tips
-
assert
: pytest uses nativeassert
, and the variable value will be automatically displayed when it fails. -
pytest.raises()
: used to test whether the function throws the specified exception. -
@pytest.mark.parametrize
: Avoid writing repeated test cases and batch test different inputs. - The test file name and function name must start with
test_
, which is the pytest convention.
? 6. Optional: Test coverage (advanced)
Install pytest-cov
to view test coverage:
pip install pytest-cov pytest --cov=math_utils test_math_utils.py
Basically that's it. Writing tests is not complicated, the key is to develop habits. pytest is simple and powerful, suitable for small projects to large applications.
The above is the detailed content of python pytest example. For more information, please follow other related articles on the PHP Chinese website!

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