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Testing Array Search Time Complexity Analysis in hello-algo

This test suite evaluates the performance characteristics of finding a specific element in a randomly shuffled array, focusing on worst-case and best-case time complexity scenarios. It implements repeated testing of the findOne function across different random array arrangements to validate algorithmic efficiency and correctness.

Test Coverage Overview

The test suite provides comprehensive coverage of the findOne function’s behavior with randomized input arrays.

Tests repeated execution with different random array configurations
Validates correct index finding for element 1 in shuffled arrays
Covers array size of 100 elements across 10 iterations
Includes output verification for both array contents and found index

Implementation Analysis

The testing approach employs Go’s native testing framework with a focus on randomized input validation.

Utilizes testing.T for test execution and failure reporting
Implements randomNumbers helper function for test data generation
Employs fmt package for result visualization
Uses loop-based testing strategy for multiple iterations

Technical Details

Go testing framework (testing package)
Standard fmt package for output formatting
Custom randomNumbers utility function
Fixed array size of 100 elements
10 iteration test cycle
Benchmarking capabilities through testing.T

Best Practices Demonstrated

The test implementation showcases several Go testing best practices and design patterns.

Consistent test function naming convention (TestWorstBestTimeComplexity)
Proper use of test parameter t *testing.T
Clear output formatting for debugging
Isolation of test cases through iteration
Randomized input testing for robust validation

krahets/hello-algo

codes/go/chapter_computational_complexity/worst_best_time_complexity_test.go

            
// File: worst_best_time_complexity_test.go
// Created Time: 2022-12-13
// Author: msk397 ([email protected]), cathay ([email protected])

package chapter_computational_complexity

import (
	"fmt"
	"testing"
)

func TestWorstBestTimeComplexity(t *testing.T) {
	for i := 0; i < 10; i++ {
		n := 100
		nums := randomNumbers(n)
		index := findOne(nums)
		fmt.Println("\n数组 [ 1, 2, ..., n ] 被打乱后 =", nums)
		fmt.Println("数字 1 的索引为", index)
	}
}