示例#1
0
    private bool GenerateLevel()
    {
        List <List <char> > level = new List <List <char> >();

        if (blackBoard.ConfigUI.Config.UsingSimplifiedNGram)
        {
            ICompiledGram compiledGram = simpleGrammar.Compile();
            int           levelIndex   = levelColumns.RandomIndex();

            List <string> simpleInput = simplifiedLevelColumns[levelIndex].GetRange
                                            (0,
                                            blackBoard.ConfigUI.Config.N + 7);

            blackBoard.LevelColumns = levelColumns[levelIndex].GetRange(
                0,
                blackBoard.ConfigUI.Config.N + 7);

            blackBoard.SimpleLevelColumns = NGramGenerator.Generate(
                compiledGram,
                simpleInput,
                blackBoard.ConfigUI.Config.LevelSize);

            compiledGram            = grammar.Compile();
            blackBoard.LevelColumns = NGramGenerator.GenerateRestricted(
                compiledGram,
                blackBoard.LevelColumns,
                blackBoard.SimpleLevelColumns,
                (inColumn) =>
            {
                return(LevelParser.ClassifyColumn(
                           inColumn,
                           blackBoard.ConfigUI.Config.Game));
            });
        }
        else
        {
            ICompiledGram compiledGram = grammar.Compile();
            blackBoard.LevelColumns = NGramGenerator.Generate(
                compiledGram,
                levelColumns.RandomValue().GetRange(0, blackBoard.ConfigUI.Config.N + 7),
                blackBoard.ConfigUI.Config.LevelSize);
        }

        bool generationWorked = blackBoard.LevelColumns != null;

        if (generationWorked)
        {
            foreach (string column in blackBoard.LevelColumns)
            {
                level.Add(new List <char>(column));
            }

            // add ending column to the level
            char        flagChar     = Tile.playerOneFinish.ToChar();
            List <char> endingColumn = new List <char>();
            for (int i = 0; i < level[0].Count; ++i)
            {
                endingColumn.Add(flagChar);
            }

            level.Add(endingColumn);
            blackBoard.LevelInfo = LevelLoader.Build(level, blackBoard.Tilemap, blackBoard.CameraFollow);
        }

        return(generationWorked);
    }
示例#2
0
        public void Execute()
        {
            string keyDirectory = Path.Combine(basePath, $"{extension}_{gram.GetN()}");

            if (Directory.Exists(keyDirectory) == false)
            {
                Directory.CreateDirectory(keyDirectory);
            }

            StreamWriter writer = File.CreateText($"{keyDirectory}.txt");

            writer.WriteLine("Sequence_Probability,Perplexity,Linearity_JSON_Positions,Leniency");

            ICompiledGram compiled       = gram.Compile();
            ICompiledGram simpleCompiled = simplifiedGram?.Compile();

            for (int i = 0; i < numSimulations; ++i)
            {
                UtilityRandom.SetSeed(new DateTime().Millisecond);

                Tuple <List <string>, List <string> > tuple;

                if (gram as NGram == null)
                {
                    tuple = GetColumnsBestGuess(compiled, simpleCompiled);
                }
                else
                {
                    tuple = GetColumnsSemiGuaranteed(compiled, simpleCompiled);
                }

                List <string> columns    = tuple.Item1;
                List <string> simplified = tuple.Item2;

                string[]   columnsArray  = columns.ToArray();
                List <int> positions     = LevelAnalyzer.Positions(columnsArray);
                JsonArray  jsonPositions = new JsonArray();
                foreach (int pos in positions)
                {
                    jsonPositions.Add(pos);
                }

                double sequenceProbability = compiled.SequenceProbability(columnsArray);
                writer.Write($"{sequenceProbability},");
                if (sequenceProbability == 0)
                {
                    writer.Write($"0,");
                }
                else
                {
                    writer.Write($"{1d/sequenceProbability},");
                }

                writer.Write($"{jsonPositions},");
                writer.Write($"{LevelAnalyzer.Leniency(simplified.ToArray())}\n");

                StreamWriter levelWriter = File.CreateText(Path.Combine(keyDirectory, $"{i}.txt"));
                levelWriter.Write(string.Join("\n", columnsArray));
                levelWriter.Flush();
                levelWriter.Close();

                if (i % 200 == 0)
                {
                    writer.Flush();
                }
            }

            writer.Flush();
            writer.Close();
        }