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mirror of https://github.com/esiur/esiur-dotnet.git synced 2026-06-13 14:38:43 +00:00
Files
2026-06-09 01:40:29 +03:00

119 lines
3.4 KiB
C#

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace Esiur.Tests.RPC.Client
{
internal class Shared
{
static Random rng = new Random(24241564);
// Generate random int array of given length and distribution
public static int[] GenerateInt32(int length, string pattern = "uniform",
int range = int.MaxValue, Random? random = null)
{
var data = new int[length];
var source = random ?? rng;
switch (pattern.ToLower())
{
case "uniform":
// Random values in [-range, range]
for (int i = 0; i < length; i++)
data[i] = source.Next(-range, range);
break;
case "positive":
for (int i = 0; i < length; i++)
data[i] = source.Next(0, range);
break;
case "negative":
for (int i = 0; i < length; i++)
data[i] = -source.Next(0, range);
break;
case "alternating":
for (int i = 0; i < length; i++)
{
int val = source.Next(0, range);
data[i] = (i % 2 == 0) ? val : -val;
}
break;
case "small":
// Focused on small magnitudes to test ZigZag fast path
for (int i = 0; i < length; i++)
data[i] = source.Next(-64, 65);
break;
case "ascending":
{
int start = source.Next(-range, range);
for (int i = 0; i < length; i++)
data[i] = start + i;
}
break;
default:
throw new ArgumentException($"Unknown pattern: {pattern}");
}
return data;
}
public static Dictionary<string, byte[]> BuildBytesWorkLoads(int seed = 1000)
{
var result = new Dictionary<string, byte[]>();
var r = new Random(seed);
// Small
{
var small = new byte[100];
r.NextBytes(small);
result.Add("Small", small);
}
// Medium
{
var medium = new byte[1000];
r.NextBytes(medium);
result.Add("Medium", medium);
}
// Large
{
var large = new byte[1000000];
r.NextBytes(large);
result.Add("Large", large);
}
return result;
}
public static Dictionary<string, int[]> BuildIntWorkloads(int seed = 1000)
{
var result = new Dictionary<string, int[]>();
var r = new Random(seed);
result.Add("uniform", GenerateInt32(1000, "uniform", random: r));
result.Add("small", GenerateInt32(1000, "small", random: r));
result.Add("alternating", GenerateInt32(1000, "alternating", random: r));
result.Add("ascending", GenerateInt32(1000, "ascending", random: r));
return result;
}
}
}