In Go, you create a basic test function by using the "func Test" declaration. The naming convention for test functions is important; they should start with "Test" followed by a capital letter and describe the functionality being tested. For example, if you're testing a function called "Add," you would name the test function "TestAdd." The Go testing framework recognizes functions with this naming pattern and runs them as tests when you execute "go test" on your package.

A type assertion in Go can return two values: the first is the underlying value of the asserted type, and the second is a boolean value indicating whether the assertion was successful. The boolean value will be true if the assertion is successful, meaning the value is of the specified type; otherwise, it will be false.

A "Memory Leak" is a situation where a program continuously uses more memory over time and does not release it back to the operating system. Memory leaks can lead to increased memory consumption, reduced performance, and even program crashes if not addressed. Proper memory management and resource deallocation are essential to prevent memory leaks.

Implementing authentication and authorization in a Go-based RESTful API is a crucial aspect of security. Using OAuth 2.0 with JWT (JSON Web Tokens) is a common and secure approach. It allows for user authentication and authorization by issuing tokens, which are sent with each API request. OAuth 2.0 provides fine-grained control over access, and JWTs are self-contained, making them suitable for stateless APIs. This method ensures that only authenticated and authorized users can access protected resources, enhancing the security of your API.

The go vet tool is used to perform static analysis on Go code. It can identify potential issues in the code that might not be caught by the Go compiler. For example, it can detect improper error handling, incorrect use of interfaces, and more. It doesn't perform code profiling or report memory usage; that's the role of other tools like go tool pprof or go test -bench. Syntax errors are typically caught by the Go compiler itself. go vet focuses on identifying problematic code patterns and constructs.

In Go, errors are typically propagated using return statements. Functions that can potentially produce errors return an error value alongside their result. This error value is typically nil if no error occurred and contains an error message otherwise. This allows the caller of the function to check the error value and take appropriate action, such as logging the error or handling it in some way. Using panic() is not the standard way to handle errors; it's used for exceptional cases that should cause the program to terminate. The recover() function is used to handle panics, but it's not the primary mechanism for propagating errors.

To extract query parameters from the URL in a Go HTTP handler, you can access the r.URL.Query() method on the http.Request object, where r is the request parameter typically provided to the ServeHTTP method. This method returns a map of query parameters, allowing you to retrieve and use the values as needed in your handler logic.

To implement a recursive function in Go, you define a function that calls itself. This is a common programming technique used for solving problems that can be divided into smaller, similar subproblems. Recursion is supported in Go, and it can be a powerful tool when used appropriately. Recursion allows you to break down complex problems into simpler, more manageable pieces.

You run benchmark tests in Go using the go test -bench command. For example, go test -bench . runs all benchmark functions in your test files. The -bench flag allows you to specify patterns to match benchmark functions. Benchmark tests do not run automatically with regular tests; you need to explicitly specify the -bench flag to execute them. The results will show the number of iterations performed per second and the time taken for each iteration, providing valuable insights into code performance.

To optimize a Go function with high memory allocations, you should first analyze the code and identify unnecessary data structures or allocations. Refactoring the code to eliminate these can help reduce memory consumption. Simply allocating more memory is not a recommended solution, as it may lead to inefficiencies or out-of-memory errors. Ignoring memory allocations is not advisable either, as high memory usage can impact performance. Optimizing CPU usage can indirectly reduce memory usage, but addressing memory allocations directly is usually more effective.