advanced-test-mistral-2025-10-26T02-53-34-678Z.md•3.75 kB
# Advanced Zig Test Report
**Model**: mistral
**Date**: 2025-10-26T02:53:34.678Z
**Total Tests**: 6
**Passed**: 6
**Failed**: 0
**Average Response Time**: 82.73s
## Results
### 1. Basic Zig Syntax [EASY]
**Status**: ✅ PASS
**Time**: 39.24s
**Response**:
```zig
Here's a simple Zig function in Zig language that returns the sum of two integers:
```zig
const std = @import("std");
pub fn main(args: []const char; env: *const std.Env) !void {
const int a = 5;
const int b = 3;
const int sum = .{sum}(a, b);
std.io.putstr("The sum of ", a, " and ", b, " is: ", sum, "\n");
}
pub fn sum(left: int, right: int) int {
return left + right;
}
```
This code defines a `sum` function that takes two integer arguments and returns their sum. The ma
```
### 2. Memory Allocation [EASY]
**Status**: ✅ PASS
**Time**: 108.25s
**Response**:
```zig
In Zig, you can create your own simple allocator and manage memory allocation for a custom structure. Here's a basic example of an allocator for an `UntypedStruct` containing an `i32` (integer) field and functions to allocate, access, and free the allocated memory.
```zig
const std = @import("std");
pub struct UntypedStruct {
data: *u8,
size: u32,
}
const allocatorSize(struct: type[*UntypedStruct]) = struct.FieldSizeof!();
fn allocateUntypedStruct() *UntypedStruct {
var memory =
```
### 3. Error Handling [MEDIUM]
**Status**: ✅ PASS
**Time**: 85.97s
**Response**:
```zig
In Zig, I'll show you an example of a simple function that uses the `Result` type to return either a success value or an error. The example demonstrates error handling in the caller as well.
First, let's define our custom error type and error functions:
```zig
const std = @import("std");
const Result = import("result");
pub const Error = enum {
Success,
Failure(i32), // Custom error message
};
pub fn error(message: zigstr)!Error {
return .Failure(std.fmt.Sprint(message));
}
```
```
### 4. Structs & Methods [MEDIUM]
**Status**: ✅ PASS
**Time**: 103.10s
**Response**:
```zig
In Zig language, here is a simple implementation of a `Point` struct with `x` and `y` coordinates and a method (or function) to calculate the distance from the origin:
```zig
const std = @import("std");
pub const Point = struct {
x: f64,
y: f64,
};
pub fn distanceFromOrigin(point: Point) f64 {
return sqrt(point.x * point.x + point.y * point.y);
}
```
You can use the `Point` struct and `distanceFromOrigin` function like this:
```zig
const pt = Point{ .x = 3, .y = 4 };
const dist
```
### 5. Generics [HARD]
**Status**: ✅ PASS
**Time**: 88.35s
**Response**:
```zig
In Zig, you can create a generic function to find the maximum of two values using templates. Here's an example implementation for numeric types:
```zig
const std = @import("std");
pub fn maxOfTwo(a: T, b: T) !T {
if (a > b) {
return a;
}
return b;
}
pub const fn isNumericType!(ty: anytype) !bool {
try std.stdio.writeln("Checking type {}...", .{ty});
var _ = typeof(ty);
if (typeof(ty) & ZIG_TYPEOF_INT == ZIG_TYPEOF_INT ||
typeof(ty) & ZIG_TYPEOF_UINT ==
```
### 6. Comptime Magic [HARD]
**Status**: ✅ PASS
**Time**: 71.44s
**Response**:
```zig
To compute a factorial at compile-time using Comptime in Zig, you can create a function that takes an integer as input and returns its factorial value. Here's an example:
```zig
const CompileTime = @import("std/stdio/comptime.zig");
const Std = @import("std");
pub fn factorial(n: u64)!comp: comptime(n > 0) -> u64 {
if (n == 1) {
return 1;
} else {
return n * factorial(n - 1)!comp;
}
}
fn main() !body {
const N = CompileTime.constExpr!(u64, 5);
const res =
```