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Difference Between Hard Assert & Soft Assert in pytest | LambdaTest
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About The Video
Watch the video to understand the difference between hard & soft asserts!
In software testing, hard assert and soft assert manage failed assertions differently:
• 𝐇𝐚𝐫𝐝 𝐀𝐬𝐬𝐞𝐫𝐭: Immediately stops the test if an assertion fails. It's used when further test steps depend on the successful assertion.
• 𝐒𝐨𝐟𝐭 𝐀𝐬𝐬𝐞𝐫𝐭: Records failures without stopping the test, allowing all checks to run and reporting all failures. Useful when multiple independent checks are needed. This distinction helps testers choose the right assert type based on how critical the test conditions are to subsequent operations.
Video Chapters
00:00 Introduction
00:07 Hard Assert & Soft Assert
02:30 Demo
12:21 Closing
Key Topics Covered
Introduction to Assertions: Brief overview of the importance of assertions in software testing.
Hard Assert vs. Soft Assert: Explanation of hard asserts, which stop the execution of a test upon encountering a failure.
Explanation of soft asserts, which allow the test to continue running despite failures, collecting all errors for reporting at the end of the test.
Usage Scenarios: Detailed discussion on when to use hard assert versus soft assert based on the testing requirements. Hard asserts are used when the outcome of the test depends on the success of the asserted condition, while soft asserts are useful when multiple conditions can fail independently without affecting the continuation of the test.
Demonstration: A live demonstration on implementing soft asserts in a test script, including how to handle multiple assertions within a single test function.
Practical coding examples showing how to replace hard asserts with soft asserts to allow comprehensive failure analysis.
Best Practices and Tips: Tips on optimizing the use of assertions in test scripts to improve the robustness and reliability of automated tests.
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