Hello-Algo Testing: Comprehensive Go Unit Testing for Algorithmic Implementations
The hello-algo repository showcases comprehensive unit testing practices using the go_test framework, demonstrating test-driven development principles across various algorithmic implementations. The test suite encompasses 112 unit tests covering complex scenarios like recursive patterns, binary tree operations, and backtracking algorithms, ensuring robust code validation through systematic testing approaches. Qodo Tests Hub provides developers with detailed insights into hello-algo's testing patterns, making it easier to understand and learn from real-world testing implementations. Through interactive test exploration features, developers can examine how different algorithmic challenges are validated, from basic unit tests to complex scenarios like N-Queens problem verification and permutation testing, offering practical guidance for implementing similar testing strategies in their own projects.
| Path | Test Type | Language | Description |
|---|---|---|---|
| zh-hant/codes/go/pkg/list_node_test.go |
unit
|
go | This Go unit test verifies linked list node creation and printing functionality through array conversion operations. |
| zh-hant/codes/go/pkg/tree_node_test.go |
unit
|
go | This Go unit test verifies tree node operations including slice-to-tree conversion, visualization, and serialization functionality. |
| codes/go/chapter_computational_complexity/space_complexity_test.go |
unit
|
go | This Go unit test verifies space complexity implementations across constant, linear, quadratic, and exponential patterns. |
| codes/go/chapter_computational_complexity/time_complexity_test.go |
unit
|
go | This Go unit test verifies time complexity implementations across various algorithmic patterns from constant to factorial complexity. |
| codes/go/chapter_computational_complexity/worst_best_time_complexity_test.go |
unit
|
go | This Go unit test verifies the worst-case and best-case time complexity scenarios for finding specific elements in randomized arrays. |
| codes/go/chapter_array_and_linkedlist/array_test.go |
unit
|
go | This Go unit test verifies fundamental array operations including initialization, manipulation, and search functionality in a slice-based implementation. |
| codes/go/chapter_array_and_linkedlist/linked_list_test.go |
unit
|
go | This Go unit test verifies the core operations and functionality of a singly linked list implementation including insertion, deletion, access, and search operations. |
| codes/go/chapter_array_and_linkedlist/list_test.go |
unit
|
go | This Go unit test verifies list manipulation operations including element access, modification, insertion, deletion, and sorting functionality. |
| codes/go/chapter_backtracking/subset_sum_test.go |
unit
|
go | This Go unit test verifies multiple implementations of the subset sum algorithm, including naive and optimized approaches with duplicate handling. |
| codes/go/chapter_computational_complexity/iteration_test.go |
unit
|
go | This Go unit test verifies various iteration patterns including for loops, while loops, and nested loops for computational complexity analysis. |