static void Main(string[] args)
{
var inputPath = "input";
var modelsPath = @"..\..\..\data\models";
// "LA145" -> xx
var modelToSize = GetModelToSize(modelsPath);
// "LA145" -> ..
var summary = new Dictionary <string, List <(string strategyName, long energy, string tracePath)> >();
foreach (var directory in Directory.EnumerateDirectories(inputPath))
{
Console.WriteLine($"## Start processing {directory}");
var startegyName = Path.GetDirectoryName(directory);
foreach (var tracePath in Directory.EnumerateFiles(directory))
{
var ai = new FileAI(tracePath);
var mongoOplogWriter = new FakeOpLog();
mongoOplogWriter.WriteLogName(startegyName);
var simulator = new Simulator();
var modelName = Path.GetFileName(tracePath).Substring(0, 5);
Console.Write($"# evaluating {modelName}... ");
var size = modelToSize[modelName];
var state = State.CreateInitial(size, mongoOplogWriter);
mongoOplogWriter.WriteInitialState(state);
while (true)
{
var commands = ai.NextStep(state).ToList();
simulator.NextStep(state, new Trace(commands));
if (commands[0] is HaltCommand)
{
break;
}
}
UpdateSummary(summary, state, startegyName, tracePath, modelName);
mongoOplogWriter.Save();
}
}
var defaultTracksPath = @"..\..\..\data\track";
PrepareBestSubmission(summary, defaultTracksPath, modelsPath, "output");
}
private long GetActualEnergy(string tracePath, string anyModelPath)
{
var fileAi = new FileAI(tracePath);
var matrix = MatrixDeserializer.Deserialize(File.ReadAllBytes(anyModelPath));
var state = State.CreateInitial(matrix.R);
while (true)
{
var commands = fileAi.NextStep(state).ToList();
simulator.NextStep(state, new Trace(commands));
if (commands.Count == 1 && commands[0] is HaltCommand)
{
break;
}
}
return(state.Energy);
}
