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Testing Binary Tree DFS Traversal Implementations in hello-algo

A comprehensive test suite for validating binary tree depth-first search traversal implementations in Go. This test file verifies pre-order, in-order, and post-order traversal algorithms using a sample binary tree structure.

Test Coverage Overview

The test suite provides thorough coverage of depth-first search traversal operations on binary trees.

Key areas tested include:
  • Pre-order traversal sequence validation
  • In-order traversal sequence validation
  • Post-order traversal sequence validation
  • Binary tree initialization from array input
Edge cases are handled through the SliceToTree conversion function, ensuring robust tree construction.

Implementation Analysis

The testing approach utilizes Go’s native testing framework with a focus on functional verification of traversal algorithms.

Testing patterns include:
  • Centralized test setup with tree initialization
  • Sequential validation of different traversal methods
  • Visual tree structure verification using PrintTree
  • Global state management for traversal results

Technical Details

Testing tools and configuration:
  • Go testing package (testing)
  • Custom tree visualization (PrintTree)
  • Helper utility for tree construction (SliceToTree)
  • Package-level imports from hello-algo/pkg
  • Standard Go test execution environment

Best Practices Demonstrated

The test implementation showcases several testing best practices for Go applications.

Notable practices include:
  • Clear test function naming conventions
  • Isolated test scenarios
  • Visual feedback for test execution
  • Modular test structure
  • Reusable tree initialization logic

krahets/hello-algo

codes/go/chapter_tree/binary_tree_dfs_test.go

            
// File: binary_tree_dfs_test.go
// Created Time: 2022-11-26
// Author: Reanon ([email protected])

package chapter_tree

import (
	"fmt"
	"testing"

	. "github.com/krahets/hello-algo/pkg"
)

func TestPreInPostOrderTraversal(t *testing.T) {
	/* 初始化二叉树 */
	// 这里借助了一个从数组直接生成二叉树的函数
	root := SliceToTree([]any{1, 2, 3, 4, 5, 6, 7})
	fmt.Println("\n初始化二叉树: ")
	PrintTree(root)

	// 前序遍历
	nums = nil
	preOrder(root)
	fmt.Println("\n前序遍历的节点打印序列 =", nums)

	// 中序遍历
	nums = nil
	inOrder(root)
	fmt.Println("\n中序遍历的节点打印序列 =", nums)

	// 后序遍历
	nums = nil
	postOrder(root)
	fmt.Println("\n后序遍历的节点打印序列 =", nums)
}