esiur/esiur-dotnet
2
0
Fork 0
mirror of https://github.com/esiur/esiur-dotnet.git synced 2026-04-29 06:48:41 +00:00
Code Issues Projects Releases Wiki Activity

int test

Browse Source
This commit is contained in:
Ahmed Zamil
2026-04-09 00:59:48 +03:00
parent da2b2cd53f
commit 4524745d36
7 changed files with 2045 additions and 74 deletions
Download Patch File Download Diff File Expand all files Collapse all files
Tests/Serialization/Gvwie/IntArrayRunner.cs
+33 -19
View File
@@ -30,14 +30,14 @@ namespace Esiur.Tests.Gvwie
const int TEST_ITERATIONS = 100;
const int SAMPLE_SIZE = 100;
Console.WriteLine(";Esiur;FlatBuffer;ProtoBuffer;MessagePack;BSON;CBOR;Avro,Optimal");
Console.WriteLine(";Esiur;FlatBuffer;ProtoBuffer,MessagePack;BSON;CBOR;Avro,Optimal");
Console.Write("Cluster (Int32);");
PrintAverage(
Average(() => CompareInt(IntArrayGenerator.GenerateRuns(SAMPLE_SIZE)), TEST_ITERATIONS)
Average(() => CompareInt(IntArrayGenerator.GenerateInt32(SAMPLE_SIZE, GeneratorPattern.Clustering)), TEST_ITERATIONS)
);
Console.Write("Positive (Int32);");
@@ -111,61 +111,75 @@ namespace Esiur.Tests.Gvwie
// Produces a CSV with header: SampleSize;Esiur;FlatBuffer;ProtoBuffer;MessagePack;BSON;CBOR;Avro;Optimal
public void RunChart()
{
var sizes = new int[] { 10, 100, 1000, 10000, 100000 };
var sizes = Enumerable.Range(12, 21)
.Select(i => (int)Math.Pow(2, i))
.ToArray();
// Define generators to evaluate. Each entry maps a name to a function that
// given a sample size returns the averages (double[]) by calling Average(...).
var generators = new List<(string name, Func<int, int, double[]> fn)>()
{
("GenerateRuns", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateRuns(size)), iterations)),
("Int32_Uniform", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt32(size, GeneratorPattern.Uniform)), iterations)),
("Int32_Positive", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt32(size, GeneratorPattern.Positive)), iterations)),
("Int32_Clustering", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt32(size, GeneratorPattern.Clustering)), iterations)),
("Int32_Negative", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt32(size, GeneratorPattern.Negative)), iterations)),
("Int32_Small", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt32(size, GeneratorPattern.Small)), iterations)),
("Int32_Alternating", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt32(size, GeneratorPattern.Alternating)), iterations)),
("Int32_Ascending", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt32(size, GeneratorPattern.Ascending)), iterations)),
("Int64", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt64(size)), iterations)),
("Int32_Default", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt32(size)), iterations)),
("Int16", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt16(size)), iterations)),
("UInt64", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateUInt64(size)), iterations)),
("UInt32", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateUInt32(size)), iterations)),
("UInt16", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateUInt16(size)), iterations)),
//("Int64", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt64(size)), iterations)),
//("Int32", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt32(size)), iterations)),
//("Int16", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateInt16(size)), iterations)),
//("UInt64", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateUInt64(size)), iterations)),
//("UInt32", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateUInt32(size)), iterations)),
//("UInt16", (size, iterations) => Average(() => CompareInt(IntArrayGenerator.GenerateUInt16(size)), iterations)),
};
foreach (var gen in generators)
{
var sb = new System.Text.StringBuilder();
sb.AppendLine("SampleSize,Esiur,FlatBufferProtoBuffer,MessagePack,BSON,CBOR,Avro,Optimal");
var sbr = new System.Text.StringBuilder();
sb.AppendLine("SampleSize,Esiur,FlatBuffer,ProtoBuffer,MessagePack,BSON,CBOR,Avro,Optimal");
sbr.AppendLine("SampleSize,Esiur,FlatBuffer,ProtoBuffer,MessagePack,BSON,CBOR,Avro,Optimal");
foreach (var size in sizes)
{
// Choose iterations depending on size to keep total runtime reasonable
int iterations;
if (size <= 100) iterations = 1000;
else if (size <= 1000) iterations = 200;
else if (size <= 10000) iterations = 50;
else iterations = 10;
int iterations = 10;
//if (size <= 100) iterations = 1000;
//else if (size <= 1000) iterations = 200;
//else if (size <= 10000) iterations = 50;
//else iterations = 10;
Console.WriteLine($"Running {gen.name} sample size={size}, iterations={iterations}...");
var averages = gen.fn(size, iterations);
PrintAverage(averages);
sb.Append(size);
sbr.Append(size);
for (int i = 0; i < averages.Length; i++)
{
sb.Append(',');
sb.Append(Math.Round(averages[i]));
sbr.Append(',');
sbr.Append(((averages[i] - averages.Last()) / averages.Last()) * 100.0);
}
sb.AppendLine();
sbr.AppendLine();
}
var file = $"run_chart_{gen.name}.csv";
System.IO.File.WriteAllText(file, sb.ToString());
Console.WriteLine($"Chart CSV written to: {file}");
var file2 = $"optimal_chart_{gen.name}.csv";
System.IO.File.WriteAllText(file, sbr.ToString());
Console.WriteLine($"Chart CSV written to: {file} {file2}");
}
}
public static (int, int, int, int, int, int, int, int) CompareInt(long[] sample)
{
var intRoot = new ArrayRoot<long>() { Values = sample };