private static void AssertParse(string input, Expression expectation)
{
var source = input;
var parser = new FullParser();
var expr = parser.Parse(source);
var expected = expectation;
expr.ShouldDeepEqual(expected);
}
private static void ProcessMovement()
{
if (!Directory.Exists(_directory))
{
Console.WriteLine("Invalid directory, exiting.");
Environment.Exit(1);
}
if (_value < 0)
{
Console.WriteLine("Value must be positive, exiting.");
Environment.Exit(1);
}
string outputDir = Path.Combine(_directory, OutputDirName);
if (!Directory.Exists(outputDir))
{
Directory.CreateDirectory(outputDir);
}
string output = Path.Combine(outputDir, _value + ".csv");
char[] nameSplit = { '_' };
using (TextWriter writer = new StreamWriter(output))
{
foreach (string movementfile in Directory.EnumerateFiles(_directory, "*.txt"))
{
//Algorithm alg = CIlibParserOld.Parse(movementfile);
CIlibParser parser = new FullParser();
Algorithm alg = parser.Parse(movementfile);
Measurement measure = alg.Measurements.Find(x => x.Name == MeasureName);
int iterations;
if (_divergence)
{
if (measure.FinalIteration.Average < _value)
{
iterations = measure.MaximumIterations;
}
else
{
IterationStats stats = measure.Stats.Skip(1).First(x => x.Average >= _value);
iterations = stats.Iteration;
}
}
else
{ //check if the final value is less than the threshold, if not set it to max iters immediately
if (measure.FinalIteration.Average > _value)
{
iterations = measure.MaximumIterations;
}
else
{
IterationStats stats = measure.Stats.Skip(1).First(x => x.Average <= _value);
iterations = stats.Iteration;
}
}
var nameTokens = alg.Name.Split(nameSplit, StringSplitOptions.RemoveEmptyEntries);
if (!double.TryParse(nameTokens[1], out var inertia))
{
Console.WriteLine("Error parsing inertia from: {0}", nameTokens[1]);
}
if (!double.TryParse(nameTokens[2], out var cognitive))
{
Console.WriteLine("Error parsing cognitive from: {0}", nameTokens[2]);
}
if (!double.TryParse(nameTokens[3], out var social))
{
Console.WriteLine("Error parsing social from: {0}", nameTokens[3]);
}
writer.WriteLine("{0},{1},{2}", cognitive + social, inertia, iterations);
}
writer.Close();
}
}
