Testing and Benchmarking

本文介绍了如何使用Go语言实现IntMin函数及其测试,包括基本测试用例和表格驱动测试,同时展示了如何通过gotest和gotest-bench进行性能评估。

首先创建源码文件并实现方法。

func IntMin(a, b int) int {
	if a < b {
		return a
	}
	return b
}

然后创建测试文件并实现测试方法。测试文件的文件名一般是源码文件名加_test后缀。

func TestIntMinBasic(t *testing.T) {
	ans := IntMin(2, -2)
	if ans != -2 {
		t.Errorf("IntMin(2, -2) = %d; want -2", ans)
	}
}

func TestIntMinTableDriven(t *testing.T) {
	var tests = []struct {
		a, b int
		want int
	}{
		{0, 1, 0},
		{1, 0, 0},
		{2, -2, -2},
		{0, -1, -1},
		{-1, 0, -1},
	}

	for _, tt := range tests {
		testname := fmt.Sprintf("%d, %d", tt.a, tt.b)
		t.Run(testname, func(t *testing.T) {
			ans := IntMin(tt.a, tt.b)
			if ans != tt.want {
				t.Errorf("got %d, want %d", ans, tt.want)
			}
		})
	}
}

func BenchmarkIntMin(b *testing.B) {
	for i := 0; i < b.N; i++ {
		IntMin(1, 2)
	}
}

命令行输入:

go test -v

命令行输出:

=== RUN TestIntMinBasic
— PASS: TestIntMinBasic (0.00s)
=== RUN TestIntMinTableDriven
=== RUN TestIntMinTableDriven/0,1
=== RUN TestIntMinTableDriven/1,0
=== RUN TestIntMinTableDriven/2,
-2
=== RUN TestIntMinTableDriven/0,
-1
=== RUN TestIntMinTableDriven/-1,_0
— PASS: TestIntMinTableDriven (0.00s)
— PASS: TestIntMinTableDriven/0,1 (0.00s)
— PASS: TestIntMinTableDriven/1,0 (0.00s)
— PASS: TestIntMinTableDriven/2,
-2 (0.00s)
— PASS: TestIntMinTableDriven/0,
-1 (0.00s)
— PASS: TestIntMinTableDriven/-1,_0 (0.00s)
PASS
ok _/Users/baiye/Documents/Golang/Examples/Testing_and_Benchmarking 0.006s

命令行输入:

go test -bench=.

命令行输出:

goos: darwin
goarch: amd64
cpu: Intel® Core™ i5-4308U CPU @ 2.80GHz
BenchmarkIntMin-4 1000000000 0.3730 ns/op
PASS
ok _/Users/baiye/Documents/Golang/Examples/Testing_and_Benchmarking 0.423s

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### DriveBench Tool Information and Usage in IT Context DriveBench appears to be a less commonly referenced tool within standard literature or widely recognized documentation sources such as those pertaining to word embeddings in natural language processing[^1] or data manipulation techniques like one-hot encoding with pandas[^2]. However, based on contextual understanding from similar tools used in performance testing and benchmarking scenarios: #### Purpose and Application In an IT context, DriveBench likely serves as a specialized utility designed for evaluating storage device performances under various workloads. This type of software is crucial for organizations aiming to optimize their infrastructure by identifying bottlenecks associated with read/write speeds, latency issues, and overall throughput capabilities. #### Features Overview Tools comparable to what might be expected from DriveBench include features that allow users to simulate different types of I/O operations (sequential vs random access patterns), adjust block sizes dynamically during tests, support multiple protocols (SATA, NVMe over Fabrics etc.), provide detailed reporting mechanisms including graphical representations of results, and offer scripting interfaces enabling automation of complex test sequences. #### Implementation Example For implementing DriveBench-like functionality programmatically, consider leveraging existing libraries available in Python which can interact directly with hardware components via system calls while collecting metrics through APIs provided by operating systems. ```python import os from subprocess import Popen, PIPE def run_benchmark(device_path='/dev/sda'): command = f"fio --name=test --filename={device_path} --direct=1 --rw=randread" process = Popen(command.split(), stdout=PIPE, stderr=PIPE) output, error = process.communicate() return output.decode() print(run_benchmark()) ```
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