Python

Version

Running on Python v3.11.8

Supported languages

Python

Testing framework

Pytest

Special reminders and implementation details

from pytest import mark as m
from challenge.app import helloWorld

@m.describe("app.py")
class TestHelloWorld:
    @m.it("Should return 'Hello World!'")
    def test_return_hello_world(self):
        assert helloWorld() == 'Hello World!'

Included libraries

• pytest

Write-tests challenges

This template supports write-tests challenges. The reference solution is already written and you write the tests: they must pass on the reference solution and catch every hidden buggy variant. Test runs your tests against the reference solution only, while Verify tests and Submit also run them against the hidden buggy variants. Read Solving a write-tests challenge for the full flow.

• Test runner: pytest
• Import the solution through the challenge package, for example from challenge.clamp import clamp. The Run entry (main.py) imports without the prefix (from clamp import clamp).
• Name test files test_*.py. The @m.describe / @m.it decorators from pytest.mark give your tests readable names in the results panel.
• Use pytest.raises to pin down error behavior: a missing validation is a classic hidden bug.

A complete example is in Write-tests examples by template.

How to debug

Debugging Python code is essential for every developer. One of the most straightforward yet effective ways to debug is by using print() statements.

Steps to Debug Using Print Statements

1. Identify the Problem Area: Locate the section of your code where you suspect the problem might be.

2. Insert print() Statements: Add print() statements before and after the suspected problematic code to print out variable values and flow control.

3. Check the Results Output of your tests

4. Analyze the Output: Look at the values printed in the results console to understand what's going wrong in your code. Adjust your code based on the findings and repeat as necessary.

Here’s an example of how to use print() for debugging:

def calculate_sum(a, b):
    print("calculate_sum called with arguments:", a, b) # Log function call
    sum_val = a + b
    print("Sum after addition:", sum_val) # Log sum calculation
    return sum_val

result = calculate_sum(5, 10)
print("Result of calculate_sum:", result) # Log the result