public void TimeSpanStats()
{
Stats.Formatter format = d => TimeSpan.FromMilliseconds(d).ToString( @"ss\.fffffff");
Stats.Formatter formatAvg = d => TimeSpan.FromMilliseconds(d).ToString(@"mm\:ss\.fffffff");
Stats stats = new Stats(ExpectedIterations, format, formatAvg);
for (int i = 0; i < ExpectedIterations; i++)
{
string report = stats.ReportAndGetSummary(TimeSpan.FromSeconds(i).TotalMilliseconds);
IList<int> reported = Enumerable.Range(0, i + 1).ToList();
Assert.AreEqual( "Current: " + format (TimeSpan.FromSeconds(i ).TotalMilliseconds) + "; " +
"Total: " + format (TimeSpan.FromSeconds(reported.Sum() ).TotalMilliseconds) + "; " +
"Min: " + format (TimeSpan.FromSeconds(0 ).TotalMilliseconds) + "; " +
"Max: " + format (TimeSpan.FromSeconds(i ).TotalMilliseconds) + "; " +
"Avg: " + formatAvg(TimeSpan.FromSeconds(reported.Average() ).TotalMilliseconds) + "; " +
"Expected: " + formatAvg(TimeSpan.FromSeconds(reported.Average() * ExpectedIterations).TotalMilliseconds),
report);
}
}
public void Int32Stats()
{
Stats.Formatter format = d => d.ToString("n");
Stats.Formatter formatAvg = format;
Stats stats = new Stats(ExpectedIterations, format, formatAvg);
for (int i = 0; i < ExpectedIterations; i++)
{
string report = stats.ReportAndGetSummary(i);
IList<int> reported = Enumerable.Range(0, i + 1).ToList();
Assert.AreEqual( "Current: " + format (i ) + "; " +
"Total: " + format (reported.Sum() ) + "; " +
"Min: " + format (0 ) + "; " +
"Max: " + format (i ) + "; " +
"Avg: " + formatAvg(reported.Average() ) + "; " +
"Expected: " + formatAvg(reported.Average() * ExpectedIterations),
report);
}
}
private Stats Benchmark_ReportIndividualIterations(int numberOfIterations, Stats stats)
{
for (int i = 0; i < numberOfIterations; i++)
{
Stopwatch stopwatch = Stopwatch.StartNew();
Action.Invoke();
stopwatch.Stop();
stats.Report(stopwatch.ElapsedMilliseconds);
}
return stats;
}
/// <summary>
/// Benchmarks and caches (in <see cref="ExecutionTime"/>) the execution time stats of the algorithm.
/// </summary>
/// <param name="numberOfIterations">The number of iterations to run.</param>
/// <param name="reportIndividualIterations">
/// <para>If set to <c>true</c>, reports individual iteration stats; if <c>false</c>, reports average iteration stats.</para>
/// <para>If the algorithm runs really fast, the floating point calculations will come out to zero, so you will want to set this to <c>false</c>.</para>
/// </param>
/// <returns>The execution time stats of the algorithm.</returns>
public Stats BenchmarkAndCacheExecutionTime(int numberOfIterations, bool reportIndividualIterations)
{
// ExecutionTime = new Stats(numberOfIterations, d => TimeSpan.FromMilliseconds(d).ToString(@"ss\.fffffff") + " sec", d => (d / 1000).ToString() + " sec");
Stats.Formatter formatter =
d =>
{
string format = (d >= 1000 * 60 ? (d >= 1000 * 60 * 60 ? (d >= 1000 * 60 * 60 * 24 ? @"dd\." : "") + @"hh\:" : "") + @"mm\:" : "") + @"ss\.fff";
return TimeSpan.FromMilliseconds(d).ToString(format);
};
ExecutionTime = new Stats(numberOfIterations, formatter, formatter);
ExecutionTime = reportIndividualIterations
? Benchmark_ReportIndividualIterations(numberOfIterations, ExecutionTime)
: Benchmark (numberOfIterations, ExecutionTime);
return ExecutionTime;
}
private Stats Benchmark(int numberOfIterations, Stats stats)
{
Stopwatch stopwatch = Stopwatch.StartNew();
for (int i = 0; i < numberOfIterations; i++)
{
Action.Invoke();
}
stopwatch.Stop();
stats.Report(stopwatch.ElapsedMilliseconds);
stats.TotalIterations = numberOfIterations;
stats.Min = stats.Max = stats.Average;
return stats;
}