Lesson 51 of 55
9 mins readPython Unit Testing with Test Standard Library
In Plain English
Ensure software correctness using the Test standard library. Group tests into testsets, verify floating point approximations with isapprox (≈), and validate errors.
Deep Dive: How It Works
@test: Tests that an expression evaluates to true.
@testset: Groups related tests with summary reporting.
Floating Point Comparison (≈ / isapprox): Never test floats with == due to rounding error; use @test a ≈ b.
@test_throws: Verifies that expected exceptions are thrown.
Core Rules to Remember
@test and @testset: Standard framework for package tests and CI verification.
isapprox (≈) for Floats: Handles epsilon tolerances in scientific computations safely.
Live Interactive Example
Hit Run Code to see it liveWriting Test Suites with Test Library
Python 3.12
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Output Console
Click "Run Code" to view the rendered output.
How it works: @testset organized and verified all assertions cleanly.
Your Turn: Micro Challenge
No pressure! Edit the starter code below and test your solution with instant feedback.
Micro Exercise
Run a Testset Assertion
- Import `Test`.
- Write `@testset "Basic Checks" begin @test 10 * 10 == 100 end`.
- Print `"Test suite complete."`.
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Sandbox Output
Click "Run & Check" to test your solution.
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