Verify distribution uniformity/Naive: Difference between revisions
Verify distribution uniformity/Naive (view source)
Revision as of 09:47, 14 February 2024
, 3 months agoAdd C# implementation
(→{{header|RPL}}: correct DICE7 output) |
(Add C# implementation) |
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Line 259:
Count = 1000000: flat
</pre>
=={{header|C#}}==
{{trans|Java}}
<syntaxhighlight lang="C#">
using System;
using System.Collections.Generic;
using System.Linq;
public class Test
{
static void DistCheck(Func<int> func, int nRepeats, double delta)
{
var counts = new Dictionary<int, int>();
for (int i = 0; i < nRepeats; i++)
{
int result = func();
if (counts.ContainsKey(result))
counts[result]++;
else
counts[result] = 1;
}
double target = nRepeats / (double)counts.Count;
int deltaCount = (int)(delta / 100.0 * target);
foreach (var kvp in counts)
{
if (Math.Abs(target - kvp.Value) >= deltaCount)
Console.WriteLine("distribution potentially skewed for '{0}': '{1}'", kvp.Key, kvp.Value);
}
foreach (var key in counts.Keys.OrderBy(k => k))
{
Console.WriteLine("{0} {1}", key, counts[key]);
}
}
public static void Main(string[] args)
{
DistCheck(() => new Random().Next(1, 6), 1_000_000, 1);
}
}
</syntaxhighlight>
{{out}}
<pre>
1 200274
2 199430
3 199418
4 200473
5 200405
</pre>
=={{header|C++}}==
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