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 |
|---|---|---|---|
| codes/go/pkg/tree_node_test.go |
unit
|
go | This Go unit test verifies binary tree node operations including conversion between array and tree structures and tree visualization functionality. |
| zh-hant/codes/go/chapter_array_and_linkedlist/linked_list_test.go |
unit
|
go | This Go unit test verifies linked list operations including initialization, insertion, deletion, access, and search functionality. |
| zh-hant/codes/go/chapter_backtracking/subset_sum_test.go |
unit
|
go | |
| zh-hant/codes/go/chapter_backtracking/n_queens_test.go |
unit
|
go | This Go unit test verifies the N-Queens algorithm implementation by validating queen placement solutions on a 4×4 chessboard. |
| zh-hant/codes/go/chapter_backtracking/preorder_traversal_test.go |
unit
|
go | This Go unit test verifies binary tree preorder traversal algorithms and path finding implementations with specific node value constraints. |
| zh-hant/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 algorithmic patterns. |
| zh-hant/codes/go/chapter_computational_complexity/recursion_test.go |
unit
|
go | This Go unit test verifies different recursive implementation patterns including standard recursion, iterative simulation, and tail recursion calculations. |
| zh-hant/codes/go/chapter_computational_complexity/iteration_test.go |
unit
|
go | This Go unit test verifies different loop implementation patterns including for loops, while loops, and nested loops through sum calculations and traversal operations. |
| zh-hant/codes/go/chapter_divide_and_conquer/hanota_test.go |
unit
|
go | This Go unit test verifies the correct implementation of the Tower of Hanoi algorithm using linked list data structures. |
| zh-hant/codes/go/chapter_dynamic_programming/coin_change_test.go |
unit
|
go | This Go unit test verifies dynamic programming implementations of the coin change algorithm for minimum coin count calculation. |