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16. Testing in Go

๐Ÿงช Dive deep into Go testing! This post equips you with essential skills for writing, running, and optimizing tests, covering everything from table-driven tests to benchmarking and advanced mocking techniques. Boost your Go development workflow! ๐Ÿš€

16. Testing in Go

What we will learn in this post?

  • ๐Ÿ‘‰ Writing Tests
  • ๐Ÿ‘‰ Running Tests
  • ๐Ÿ‘‰ Table-Driven Tests
  • ๐Ÿ‘‰ Benchmarking
  • ๐Ÿ‘‰ Test Helpers
  • ๐Ÿ‘‰ Mocking and Test Doubles
  • ๐Ÿ‘‰ Conclusion!

Go Testing Made Easy! ๐Ÿงช

Goโ€™s built-in testing package is your friendly guide for writing automated tests. Essential for maintaining code quality in production systems, testing catches bugs early and provides confidence during refactoring and feature development.

Naming Rules You Need to Know! โœ๏ธ

  • Test Files: Always end with _test.go, like calculator_test.go. These files sit alongside the code they test.
  • Test Functions: Must start with Test followed by an uppercase letter, e.g., TestAdd, TestCalculateTotal. They always accept a single parameter: t *testing.T.

Testing Your Own Code ๐Ÿค

To test functions from your package, you simply import it into your _test.go file. For instance, if your package is example.com/myapp/calculator, youโ€™d import "example.com/myapp/calculator".

Handling Failures: t.Error vs. t.Fatal ๐Ÿ›‘

The t *testing.T parameter gives you tools to report issues:

  • t.Error() (or t.Errorf()): Marks the test as failed but continues running the rest of the test function.
  • t.Fatal() (or t.Fatalf()): Marks the test as failed and stops the test function immediately. Choose based on whether subsequent steps make sense after an error.

A Simple Test Example ๐Ÿง‘โ€๐Ÿ’ป

Letโ€™s test an Add function from a calculator package:

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package calculator_test // Test files live in a *_test package

import (
	"testing"
	"example.com/myapp/calculator" // Importing the package we want to test
)

// TestAdd tests the Add function
func TestAdd(t *testing.T) {
	result := calculator.Add(2, 3) // Call the function under test
	expected := 5

	if result != expected {
		// If results don't match, report an error and continue
		t.Errorf("Add(2, 3) got %d, wanted %d", result, expected) 
	}
}

Testing Your Go Code with go test ๐Ÿš€

go test is your friendly command for running tests in Go! Essential for local development and CI/CD pipelines, it finds files ending in _test.go and executes functions starting with Test.

graph TD
    A["Start Go Testing"]:::pink --> B{"Choose Test Mode"}:::gold;
    B --> C["go test (Default)"]:::purple;
    B --> D["go test -v (Verbose)"]:::teal;
    B --> E["go test -run <pattern> (Specific Test)"]:::orange;
    B --> F["go test -cover (Code Coverage)"]:::green;
    C --> G["Summary Output"]:::teal;
    D --> H["Detailed Output per Test"]:::teal;
    E --> I["Output for Matched Tests"]:::teal;
    F --> J["Coverage Percentage"]:::green;
    G --> K["End"]:::gray;
    H --> K;
    I --> K;
    J --> K;

    classDef pink fill:#ff4f81,stroke:#c43e3e,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef purple fill:#6b5bff,stroke:#4a3f6b,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef gold fill:#ffd700,stroke:#d99120,color:#222,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef teal fill:#00bfae,stroke:#005f99,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef orange fill:#ff9800,stroke:#f57c00,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef green fill:#43e97b,stroke:#38f9d7,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef gray fill:#9e9e9e,stroke:#616161,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;

    class A pink;
    class B gold;
    class C purple;
    class D,G,H,I teal;
    class E orange;
    class F,J green;
    class K gray;

    linkStyle default stroke:#e67e22,stroke-width:3px;

Diagram: go test command flow.

Basic Test Run โœจ

Simply type go test in your package directory. It runs all tests and provides a summary.

Example Output:

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ok      yourmodule/pkg  0.005s

Verbose Mode for Details ๐Ÿ—ฃ๏ธ

Use the -v flag: go test -v to see each test run and its result.

Example Output:

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=== RUN   TestSum
--- PASS: TestSum (0.00s)
=== RUN   TestSubtract
--- PASS: TestSubtract (0.00s)
ok      yourmodule/pkg  0.005s

Running Specific Tests ๐ŸŽฏ

The -run flag lets you select tests using a regular expression pattern: go test -run "TestSum" or go test -run "TestCalc.*".

Example Output:

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=== RUN   TestSum
--- PASS: TestSum (0.00s)
ok      yourmodule/pkg  0.003s

Measuring Code Coverage ๐Ÿ“ˆ

The -cover flag helps you understand how much of your code is actually tested: go test -cover. It shows a percentage of statements covered.

Example Output:

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ok      yourmodule/pkg  0.006s  coverage: 85.7% of statements

Further Learning ๐Ÿ“š

What is Table-Driven Testing? ๐Ÿ“‹

Table-driven testing is a smart and efficient Go pattern for organizing your tests. Widely used in production Go codebases, this approach makes adding new test cases trivial and keeps your test suite maintainable as complexity grows.

How It Works: The Recipe ๐Ÿง‘โ€๐Ÿณ

Ingredients: Test Cases! ๐Ÿงช

You define your test cases as a slice of structs (e.g., []struct{}), where each struct contains the inputs, the expected result, and a name for that specific scenario. This clearly outlines each testโ€™s purpose.

The Loop: t.Run() Magic โœจ

You then iterate through this slice. For each test case, you call t.Run(testCase.name, func(t *testing.T) { ... }). This creates a subtest, allowing Go to run and report on each scenario independently, even if one fails.

Why Itโ€™s Awesome: The Perks! ๐Ÿ’ช

  • Efficiency: Test numerous scenarios with minimal code duplication.
  • Readability: Itโ€™s super easy to understand inputs, expected results, and test names at a glance.
  • Maintainability: Adding new tests is a breezeโ€”just append a new struct to your slice!

Example in Action ๐Ÿš€

Letโ€™s test a simple Add function:

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func TestAdd(t *testing.T) {
    cases := []struct {
        name string
        a, b int
        want int
    }{
        {"positive numbers", 1, 2, 3},
        {"negative numbers", -1, -2, -3},
        {"zero inputs", 0, 0, 0},
        {"mixed numbers", 5, -3, 2},
    }

    for _, tc := range cases { // Iterate through our test table
        t.Run(tc.name, func(t *testing.T) { // Create a subtest for each case
            if got := Add(tc.a, tc.b); got != tc.want {
                t.Errorf("Add(%d, %d) = %d; want %d", tc.a, tc.b, got, tc.want)
            }
        })
    }
}

// Imagine 'Add' is a simple function like:
// func Add(a, b int) int { return a + b }

The Flow ๐ŸŒŠ

Hereโ€™s how the process generally looks:

graph TD
    A["Start Test Function"]:::pink --> B{"Define Slice of Test Structs"}:::gold;
    B --> C{"Loop through each testCase in Slice"}:::gold;
    C -- "For each case" --> D["Call t.Run(testCase.name, func(t *testing.T){...})"]:::purple;
    D --> E["Execute Test Logic <br> (e.g., call Add() with tc.a, tc.b)"]:::teal;
    E --> F["Assert Expected Result <br> (e.g., got != tc.want)"]:::orange;
    F -- "Subtest Result" --> G{"Report Result & Continue Loop"}:::gold;
    G --> C;
    C -- "All cases processed" --> H["End Test Function"]:::green;

    classDef pink fill:#ff4f81,stroke:#c43e3e,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef purple fill:#6b5bff,stroke:#4a3f6b,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef gold fill:#ffd700,stroke:#d99120,color:#222,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef teal fill:#00bfae,stroke:#005f99,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef orange fill:#ff9800,stroke:#f57c00,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef green fill:#43e97b,stroke:#38f9d7,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;

    class A pink;
    class B,C,G gold;
    class D purple;
    class E teal;
    class F orange;
    class H green;

    linkStyle default stroke:#e67e22,stroke-width:3px;

Want More Info? ๐Ÿ“–

Dive deeper into Goโ€™s testing features with the official Go testing package documentation.

Benchmarking Go Code: A Performance Deep Dive ๐Ÿš€

Go benchmarks help you understand how fast your code runs and how much memory it uses. Critical for optimizing hot paths and making data-driven performance decisions, benchmarks provide objective measurements before and after optimization attempts.


Crafting Your Benchmark โœจ

To write a benchmark:

  • Naming: Create a function starting with Benchmark (e.g., func BenchmarkCalculateSum(b *testing.B)).
  • Location: Place it in a _test.go file, just like regular tests.
  • The b.N Loop: Wrap the code you want to measure inside a for i := 0; i < b.N; i++ loop.
    • b.N is dynamically adjusted by Go to ensure accurate timing across many iterations.
  • Setup: If you have setup code, run it before the b.N loop or use b.ResetTimer().
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package main

import "testing"

// Function to be benchmarked
func SumUpTo(n int) int {
    sum := 0
    for i := 1; i <= n; i++ {
        sum += i
    }
    return sum
}

// Benchmark function
func BenchmarkSumUpTo100(b *testing.B) {
    for i := 0; i < b.N; i++ {
        SumUpTo(100) // Code under test
    }
}

How b.N Works โš™๏ธ

graph TD
    A["Start Benchmark Function"]:::pink --> B{"Loop for b.N iterations"}:::gold;
    B -- "Yes" --> C["Execute Code Under Test"]:::teal;
    C --> B;
    B -- "No" --> D["Stop Timer & Report Metrics"]:::green;

    classDef pink fill:#ff4f81,stroke:#c43e3e,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef gold fill:#ffd700,stroke:#d99120,color:#222,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef teal fill:#00bfae,stroke:#005f99,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef green fill:#43e97b,stroke:#38f9d7,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;

    class A pink;
    class B gold;
    class C teal;
    class D green;

    linkStyle default stroke:#e67e22,stroke-width:3px;

Running & Interpreting Results ๐Ÿ“Š

Run your benchmarks from your terminal:

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go test -bench=. -benchmem
  • go test -bench=.: Runs all benchmark functions.
  • -benchmem: Shows memory allocation statistics.

Interpreting Output:

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BenchmarkSumUpTo100-8   1000000000           0.278 ns/op           0 B/op           0 allocs/op
  • 1000000000: How many times the function was run (b.N).
  • 0.278 ns/op: Nanoseconds per operation. This is the average time each operation took. Lower is better!
  • 0 B/op: Bytes allocated per operation. Total memory allocated. Lower is better!
  • 0 allocs/op: Allocations per operation. Number of memory allocations. Lower is better!

Aim for lower numbers across all metrics to indicate more efficient code.


Supercharge Your Go Tests! ๐Ÿš€

Helper Functions & t.Helper() Magic โœจ

Helper functions let you reuse common test logic, like creating data or asserting conditions, making tests cleaner and preventing repetition. Essential for large test suites, helpers reduce duplication and ensure consistent test patterns across your codebase.

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func assertEqual(t *testing.T, got, want string) {
    t.Helper() // Crucial for clearer error messages!
    if got != want { t.Errorf("got %q want %q", got, want) }
}

func TestSum(t *testing.T) {
    assertEqual(t, "hello", "world") // If it failed, error points here!
}

Organizing Test Data with testdata/ ๐Ÿ“

The special testdata/ directory is ideal for static files needed by tests (e.g., JSON configuration, sample CSVs, mock images). Go ignores its contents during compilation, keeping your main build clean and tidy.

Setup & Teardown Patterns ๐Ÿ› ๏ธ

For managing resources (like temporary files or database connections) before and after tests, helper functions are excellent. You can use defer to ensure teardown (cleanup) always runs after your test finishes. For package-level setup/teardown, the TestMain function is your go-to for more complex scenarios.

graph TD
    A["Start Test"]:::pink --> B["Call Helper Setup"]:::purple;
    B --> C["Run Test Logic"]:::teal;
    C --> D{"Defer Teardown?"}:::gold;
    D -- "Yes" --> E["Clean Up Resources"]:::orange;
    D -- "No" --> F["End Test"]:::green;
    E --> F;

    classDef pink fill:#ff4f81,stroke:#c43e3e,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef purple fill:#6b5bff,stroke:#4a3f6b,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef gold fill:#ffd700,stroke:#d99120,color:#222,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef teal fill:#00bfae,stroke:#005f99,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef orange fill:#ff9800,stroke:#f57c00,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef green fill:#43e97b,stroke:#38f9d7,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;

    class A pink;
    class B purple;
    class C teal;
    class D gold;
    class E orange;
    class F green;

    linkStyle default stroke:#e67e22,stroke-width:3px;

More Info: Go Testing Documentation

Letโ€™s Talk Go Mocking! ๐Ÿงช

Mocking in Go helps you test your code in isolation by replacing external dependencies with controlled, fake versions. Critical for testing services that depend on databases, APIs, or external systems, mocks enable fast, deterministic unit tests.

Why Mock in Go? ๐Ÿค”

Mocks are crucial for:

  • Unit Testing: Focus on a single piece of logic.
  • Speed: Avoid slow database calls or API requests.
  • Reliability: Test edge cases without external system issues.

Key Strategies ๐Ÿ› ๏ธ

1. Interfaces are Your Friends ๐Ÿค

Goโ€™s interfaces are the foundation. Your code should depend on interfaces (e.g., interface{ Save(data string) error }) rather than concrete types. This is dependency injection, allowing you to swap implementations. (Learn more about Go Interfaces: go.dev/tour/methods/9)

graph TD
    A["Your Service"]:::pink --> B["Dependency Interface"]:::gold
    B --> C["Real Implementation"]:::green
    B --> D["Mock Implementation"]:::purple

    classDef pink fill:#ff4f81,stroke:#c43e3e,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef purple fill:#6b5bff,stroke:#4a3f6b,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef gold fill:#ffd700,stroke:#d99120,color:#222,font-size:16px,stroke-width:3px,rx:14,shadow:6px;
    classDef green fill:#43e97b,stroke:#38f9d7,color:#fff,font-size:16px,stroke-width:3px,rx:14,shadow:6px;

    class A pink;
    class B gold;
    class C green;
    class D purple;

    linkStyle default stroke:#e67e22,stroke-width:3px;

2. Crafting Mock Implementations โœ๏ธ

You create a custom struct that implements your chosen interface. This โ€œmockโ€ struct contains test-specific logic, letting you simulate behavior or record calls without real external interactions.

For less manual work:

  • testify/mock: A widely used library allowing a fluent API to define expected calls and return values. Great for flexible, runtime mocks. (Explore testify/mock: pkg.go.dev/github.com/stretchr/testify/mock)
  • gomock: From Google, this tool generates mock code from your interfaces, ensuring strong type safety and reducing boilerplate for larger projects. (Check out gomock: github.com/golang/mock)

Mocks vs. Real: When to Choose? โœ…โŒ

  • Use Mocks: For unit tests where you isolate code, simulate errors, or interact with slow/costly external systems.
  • Use Real: For integration tests to ensure components work together, or when dependencies are simple and stable.

Testing Tools Comparison ๐Ÿ› ๏ธ

Choosing the right testing tool depends on your project needs and team preferences. Hereโ€™s a quick comparison:

Tool/LibraryPurposeLearning CurveInstallationBest For
testing (built-in)Basic unit tests, benchmarksโญ EasyโŒ No (built-in)All Go projects, learning basics
testify/assertCleaner assertionsโญ Easyโœ… go getReadable test assertions
testify/mockManual mock creationโญโญ Mediumโœ… go getFlexible mocking with fluent API
gomockGenerated mocks from interfacesโญโญโญ Medium-Hardโœ… go install + codegenType-safe mocks, large projects
httptestHTTP handler testingโญ EasyโŒ No (built-in)Testing HTTP servers/clients
go-sqlmockDatabase mockingโญโญ Mediumโœ… go getTesting database interactions

Quick Tips for Choosing ๐Ÿ’ก

  • Starting out? Stick with built-in testing package first.
  • Need cleaner assertions? Add testify/assert for better readability.
  • Complex dependencies? Use gomock for generated, type-safe mocks.
  • Testing APIs? Leverage httptest for simulating HTTP requests/responses.

Common Testing Pitfalls โš ๏ธ

Avoid these common mistakes to keep your tests reliable and maintainable:

1. Forgetting t.Parallel() ๐Ÿƒ

Problem: Tests run sequentially, wasting time on slow test suites.

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func TestSlowOperation(t *testing.T) {
    t.Parallel() // โœ… Add this to run tests concurrently!
    // ... test logic
}

Solution: Add t.Parallel() to independent tests for faster execution.

2. Not Cleaning Up Resources ๐Ÿงน

Problem: Tests leave behind temp files, open connections, or goroutines.

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func TestFileOperation(t *testing.T) {
    f, _ := os.CreateTemp("", "test")
    t.Cleanup(func() { os.Remove(f.Name()) }) // โœ… Guaranteed cleanup!
    // ... test logic
}

Solution: Use t.Cleanup() or defer to ensure resources are released.

3. Ignoring Race Conditions ๐Ÿ

Problem: Tests pass locally but fail in CI due to race conditions.

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go test -race ./...  # โœ… Always run with race detector!

Solution: Run tests with -race flag regularly, especially for concurrent code.

4. Testing Implementation, Not Behavior ๐ŸŽญ

Problem: Tests break on refactoring even when behavior is unchanged.

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// โŒ Bad: Testing internal state
if len(service.cache) != 5 { ... }

// โœ… Good: Testing observable behavior
if result := service.Get(key); result != expected { ... }

Solution: Test what your code does, not how it does it.

5. Overly Complex Test Setup ๐Ÿ—๏ธ

Problem: Tests become hard to understand and maintain.

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// โœ… Keep it simple and clear
func TestUserCreation(t *testing.T) {
    user := User{Name: "Alice", Email: "alice@example.com"} // Simple, readable
    // ... test logic
}

Solution: Use minimal, clear test data. Extract complex setup to helper functions with descriptive names.

Quick Reference Cheat Sheet ๐Ÿ“‹

Essential Commands

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# Run all tests
go test ./...

# Run with verbose output
go test -v

# Run specific test
go test -run TestMyFunction

# Run tests with coverage
go test -cover

# Generate coverage report
go test -coverprofile=coverage.out
go tool cover -html=coverage.out

# Run benchmarks
go test -bench=. -benchmem

# Run with race detector
go test -race ./...

# Run tests in parallel
go test -parallel 4

Test Function Signatures

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// Unit test
func TestXxx(t *testing.T) { ... }

// Benchmark
func BenchmarkXxx(b *testing.B) { ... }

// Example (appears in documentation)
func ExampleXxx() { ... }

// Test with setup/teardown
func TestMain(m *testing.M) {
    // Setup
    code := m.Run()
    // Teardown
    os.Exit(code)
}

Assertion Patterns

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// Basic assertions
if got != want {
    t.Errorf("got %v, want %v", got, want)
}

// Fatal errors (stop test immediately)
if err != nil {
    t.Fatalf("unexpected error: %v", err)
}

// Helper function
func assertEqual(t *testing.T, got, want int) {
    t.Helper()
    if got != want {
        t.Errorf("got %d, want %d", got, want)
    }
}

๐ŸŽฏ Hands-On Assignment

๐Ÿ’ก Project: Calculator with Tests (Click to expand)

๐Ÿš€ Your Challenge:

Create a simple calculator package with comprehensive test coverage. Your calculator should support basic operations and handle edge cases properly. ๐Ÿงฎโœ…

๐Ÿ“‹ Requirements:

Implement a Calculator struct with the following methods:

  • Add(a, b float64) float64
  • Subtract(a, b float64) float64
  • Multiply(a, b float64) float64
  • Divide(a, b float64) (float64, error) - returns error for division by zero
  • Average(numbers ...float64) (float64, error) - returns error for empty input

๐Ÿ’ก Implementation Hints:

  • Create calculator.go with the Calculator implementation ๐Ÿ“„
  • Create calculator_test.go with:
    • Table-driven tests for each operation
    • Error handling tests for edge cases
    • Benchmark tests for performance-critical operations
    • Example tests showing usage patterns
  • Aim for >90% code coverage
  • Use testing.T helper methods for better error messages

Example Input/Output:

calc := Calculator{}

// Normal operations
result := calc.Add(5, 3)           // Output: 8
result = calc.Multiply(4, 2.5)     // Output: 10

// Error handling
result, err := calc.Divide(10, 2)  // Output: 5, nil
result, err = calc.Divide(10, 0)   // Output: 0, error: "division by zero"

// Variadic function
avg, err := calc.Average(10, 20, 30, 40, 50)  // Output: 30, nil
avg, err = calc.Average()                      // Output: 0, error: "no numbers provided"

๐ŸŒŸ Bonus Challenges:

  • Add subtests for positive, negative, and zero values โž•โž–
  • Implement parallel test execution where applicable
  • Create a benchmark comparing different averaging algorithms
  • Add a custom Equal helper function with floating-point tolerance

Submission Guidelines:

  • Run go test -v -cover and include the output
  • Share your complete test file in the comments
  • Explain any interesting test cases you added
  • Discuss challenges you faced and how you solved them

Share Your Solution! ๐Ÿ’ฌ

We'd love to see your solutions! Post your implementation below and learn from others' approaches. ๐ŸŽจ


Conclusion

Well, that wraps up todayโ€™s discussion! โœจ I hope you found something here that resonated with you or sparked a new thought. Your take on things is super important to me, and Iโ€™d absolutely love to hear it! Do you have any fresh ideas, helpful tips, or even a different perspective to share? Donโ€™t hold back! ๐Ÿค” Please drop your comments, feedback, or suggestions right below. Letโ€™s get a fantastic conversation going! ๐Ÿ‘‡ Canโ€™t wait to read what you think! ๐Ÿ’ฌ

This post is licensed under CC BY 4.0 by the author.