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/chapter_computational_complexity/recursion_test.go |
unit
|
go | This Go unit test verifies multiple recursive algorithm implementations including standard recursion, loop-based recursion, tail recursion, and Fibonacci sequence calculation. |
| codes/go/chapter_divide_and_conquer/binary_search_recur_test.go |
unit
|
go | This Go unit test verifies recursive binary search functionality for both existing and non-existing elements in a sorted array. |
| codes/go/chapter_hashing/array_hash_map_test.go |
unit
|
go | This Go unit test verifies the functionality of an array-based hash map implementation including insertion, retrieval, deletion, and iteration operations. |
| codes/go/chapter_sorting/merge_sort_test.go |
unit
|
go | This Go unit test verifies the correct implementation and functionality of the merge sort algorithm for integer arrays. |
| codes/go/chapter_divide_and_conquer/build_tree_test.go |
unit
|
go | This Go unit test verifies the correct construction of a binary tree from preorder and inorder traversal arrays. |
| codes/go/chapter_divide_and_conquer/hanota_test.go |
unit
|
go | This Go unit test verifies the correct implementation of the Hanoi Tower algorithm using recursive divide-and-conquer approach. |
| codes/go/chapter_dynamic_programming/climbing_stairs_test.go |
unit
|
go | This Go unit test verifies multiple implementations of the climbing stairs problem using different algorithmic approaches including backtracking, DFS, and dynamic programming. |
| codes/go/chapter_dynamic_programming/coin_change_test.go |
unit
|
go | This Go unit test verifies coin change dynamic programming algorithms for calculating minimum coin combinations. |
| codes/go/chapter_dynamic_programming/knapsack_test.go |
unit
|
go | This Go unit test verifies multiple implementations of the knapsack algorithm, including DFS, memoized, and dynamic programming approaches. |
| codes/go/chapter_dynamic_programming/min_path_sum_test.go |
unit
|
go | This Go unit test verifies multiple implementations of the minimum path sum algorithm using different optimization strategies. |