refactor(linked_list_test): Optimize linked list test code

[shawngao-org]

• Removed redundant variable declarations and assignments

Summary by Sourcery

Tests:

• Simplified test code for linked list operations by eliminating unnecessary temporary variable assignments and redundant head tracking

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request refactors the linked list test suite by removing redundant variable declarations and assignments. The changes primarily involve removing unnecessary temp_head variables that were assigned the value of head before certain operations. This simplifies the code and improves readability without affecting the functionality of the tests.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change	Details	Files
Removed redundant variable declarations and assignments in multiple test cases.	Removed unnecessary temp_head variable assignments before calling insert_linked_list_by_index. Removed unnecessary temp_head variable assignments before negative index removal tests. Removed unnecessary temp_head variable assignments before out-of-range index removal tests.	tests/collect_test/linked_list_test.c

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[sourcery-ai]

Hey @shawngao-org - I've reviewed your changes - here's some feedback:

Overall Comments:

• Consider extracting common linked list setup code into helper functions to reduce redundancy across tests.

Here's what I looked at during the review

• 🟢 General issues: all looks good
• 🟢 Security: all looks good
• 🟡 Testing: 1 issue found
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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[sourcery-ai]

issue (testing): Missing test case for removing the only node in the list.

There's no test case that covers removing the only node present in the linked list. Add a test to specifically check this scenario and ensure the function handles it correctly by returning NULL.

[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud