# Advanced Zig Test Report
**Model**: qwen2.5-coder:0.5b
**Date**: 2025-10-26T12:23:46.930Z
**Total Tests**: 6
**Passed**: 6
**Failed**: 0
**Average Response Time**: 3.94s
## Results
### 1. Basic Zig Syntax [EASY]
**Status**: ✅ PASS
**Time**: 2.25s
**Response**:
```zig
```zig
fn add(a, b: i32) i32 {
return a + b;
}
```
This code snippet defines a simple function `add` in Zig that takes two integer arguments (`a` and `b`) and returns their sum as an integer. The function is defined with the appropriate signature, which is `fn add(a: i32, b: i32) i32`. This means the function will take any two integers as input and return a single integer representing the sum of those integers.
```
### 2. Memory Allocation [EASY]
**Status**: ✅ PASS
**Time**: 4.03s
**Response**:
```zig
To allocate memory using an allocator in Zig and store an integer, you can use the `alloc` and `free` functions provided by the standard library. Here's an example of how to do this:
```zig
import std.io;
fn main() {
// Create a new buffer with a specific size
const buf = try std.io.newBuffer(1024);
// Write some data to the buffer
for i in 0..buf.len() {
buf[i] = 'a';
}
// Print the contents of the buffer
std.debug.printf("Buffer contents: %s\n", std.stri
```
### 3. Error Handling [MEDIUM]
**Status**: ✅ PASS
**Time**: 7.01s
**Response**:
```zig
Certainly! Below is a Zig program that defines a `Result` type using Zig's syntax. The `Result` type can hold either a success value or an error, and it includes error handling to manage exceptions.
```zig
// Define the Result type with either a success value or an error
type Result<T, E> = struct {
isOk: bool,
value: T | E,
};
fn main() {
// Function that returns a Result containing a success value
fn getSuccessValue(value: i32) -> Result<i32, String> {
if value >= 0 {
```
### 4. Structs & Methods [MEDIUM]
**Status**: ✅ PASS
**Time**: 3.51s
**Response**:
```zig
Certainly! Below is a Zig struct named `Point` that represents a point with both `x` and `y` coordinates and includes a method to calculate the distance from the origin `(0, 0)`.
```zig
pub struct Point {
pub x: i32,
pub y: i32,
}
impl Point {
/// Calculates the distance from the origin (0, 0) to this point.
pub fn distance(&self) -> i32 {
let dx = self.x.abs();
let dy = self.y.abs();
return (dx * dx + dy * dy).sqrt();
}
}
fn main() {
// Create
```
### 5. Generics [HARD]
**Status**: ✅ PASS
**Time**: 2.45s
**Response**:
```zig
Certainly! Below is a generic Zig function `max` that takes two values as input and returns their maximum value:
```zig
fn max(a: anytype, b: anytype): anytype {
// Use the `std.math.max` function to find the maximum value between the two inputs
return std.math.max(a, b);
}
```
### Explanation:
- The function `max` takes two arguments of type `anytype`, which allows it to handle various numeric types including integers, floats, and complex numbers.
- The `std.math.max` function is used
```
### 6. Comptime Magic [HARD]
**Status**: ✅ PASS
**Time**: 4.40s
**Response**:
```zig
To compute a factorial using Comptime in Zig, you can define a macro that takes an integer as an argument and returns the factorial of that number. We'll also demonstrate how to utilize Comptime to perform type-checking on the input.
```zig
// Define a macro to compute the factorial of a given integer
macro @factorial(n: int) {
// Factorial definition using Comptime
return @compile_function(n, |args| {
let mut result = 1;
for (i in args) {
result *= i;
```