public static int RunGAMapFinder(GAFinderOption option)
{
var map = _loadMap(option.MapFileName, option.Diagonal);
if (map == null)
{
return(1);
}
var heuristic = (new HeuristicFactory()).GetImplementation(option.Heuristic);
var mutate = new MutateFactory().GetImplementation(option.Mutate);
var crossover = new CrossoverFactory().GetImplementation(option.Crossover);
var selection = new SelectionFactory().GetImplementation(option.Selection);
var fitness = new FitnessFactory().GetImplementation(option.Fitness);
fitness.Heuristic = heuristic;
var finder = FinderFactory.GetGAImplementation(
crossover,
mutate,
fitness,
selection,
option.Population,
option.GenerationLimit,
option.BestToPick
);
return(_runFinder(finder, heuristic, map, option.Window, option.NoShowSteps, option.BlockSize, option.UISleep));
}
public List <string> FindPath(string start, string stop)
{
;
IFinder finder;
using (var ctx = new TestDbContext("TestDBCompact"))
{
var nodes = ctx.Nodes.ToList();
var adjacencies = ctx.Adjacencies.ToList();
finder = FinderFactory.GetFinder(FinderType.Dijkstra, new Common.Enities.Graph(adjacencies, nodes));
}
return(finder.Find(start, stop));
}
public winSimpleSearch()
{
InitializeComponent();
// _vm = ViewModelSource.Create(() => new SimpleSearchViewModel());
lblEntityName.Text = typeof(T).Name;
_search = FinderFactory.CreateFinder <T>();
txtSearch.AllowHtmlTextInToolTip = DefaultBoolean.True;
txtSearch.ToolTip = _search.Descripcion;
Resultado = null;
}
public void FindTest()
{
var finder = FinderFactory.GetInstance();
var result = finder.Find(
new Waypoint("A", 10.0, 20.0),
new Waypoint("B", 60.0, 150.0));
for (int i = result.Count - 1; i >= 1; i--)
{
Assert.IsTrue(result[i].Distance(
result[i - 1]) <= RandomRouteFinder.MaxLegDis);
}
}
public IMap DefineMap(DiagonalMovement diagonal, int width, int height, int seed, int minPathLength)
{
var IsAGoodMap = false;
IMap ret = null;
var aStar = FinderFactory.GetAStarImplementation();
IHeuristic heuristic;
heuristic = diagonal == DiagonalMovement.Never ?
HeuristicFactory.GetManhattamImplementation() :
HeuristicFactory.GetOctileImplementation();
while (!IsAGoodMap)
{
var nodes = new List <Node>();
var _map = new Map(diagonal, width, height);
var size = Convert.ToInt32((width * height) * (seed / 100M));
var rand = new Random();
while (size > 0)
{
var p = RandNode(rand, width, height, true);
GridMap.Add(p);
size--;
}
_map.DefineAllNodes(GridMap);
_map.StartNode = RandNode(rand, width, height, false);
_map.EndNode = RandNode(rand, width, height, false);
if (!_map.ValidMap())
{
throw new Exception("Invalid map configuration");
}
if (aStar.Find(_map, heuristic)) // verifica se o mapa possui um caminho
{
var path = _map.GetPath();
if (path.Max(e => e.G) >= minPathLength) // verifica se o caminho sastifaz o tamanho minimo
{
IsAGoodMap = true;
ret = _map;
}
}
GridMap = new List <Node>();
}
ret.Clear();
ret.MapType = MapGeneratorEnum.Random;
return(ret);
}
private Route GetRandRoute(IReadOnlyList <SubRoute> analyzed, int index)
{
var startEnd = GetStartEndWpts(analyzed, index);
var randRoute = FinderFactory.GetInstance()
.Find(startEnd.Start, startEnd.End)
.ToRoute();
// The first and last waypoint idents generated by the
// random route are based on lat/lon and may be different
// than expected.
randRoute.Nodes.RemoveFirst();
randRoute.AddFirstWaypoint(startEnd.Start, "DCT");
randRoute.Nodes.RemoveLast();
randRoute.AddLastWaypoint(startEnd.End, "DCT");
return(randRoute);
}
private void Initializated()
{
FinderStatus finderStatus;
ColorStatus colorStatus;
bool error = _comand.ReturnCommands(out finderStatus, out colorStatus, out _chain, out _path);
_displayer = new ConsolDisplayer(_chain, ColorConsoleFactory.GetColor(colorStatus));
if (error)
{
_displayer.Display(new string[] { "Incorret data" });
Environment.Exit(1);
}
_finder = FinderFactory.GetFinder(finderStatus);
if (_path.Equals(string.Empty))
{
_reader = new ConsoleReader();
}
else
{
_reader = new FileTxtReader();
}
}
static void Process(BatchOption option)
{
var ft = new FileTool();
var now = DateTime.Now;
var folder = option.Directory;
var dataFile = "_data.csv";
var dataFileGA = "_dataGA.csv";
var files = Directory.GetFiles(folder, "*.txt");
var fileCount = files.Count();
var finders = option.Finder.ToArray();
var heuristics = option.Heuristic.ToArray();
var Mutation = option.Mutate.ToArray();
var Crossover = option.Crossover.ToArray();
var Fitness = option.Fitness.ToArray();
var Selection = option.Selection.Cast <SelectionEnum>().ToArray();
var newdatafile = !File.Exists(dataFile);
var newdatafileGA = !File.Exists(dataFileGA);
StreamWriter csvFile;
StreamWriter csvGAFile;
if (newdatafile)
{
csvFile = File.CreateText(dataFile);
}
else
{
csvFile = File.AppendText(dataFile);
}
if (newdatafileGA)
{
csvGAFile = File.CreateText(dataFileGA);
}
else
{
csvGAFile = File.AppendText(dataFileGA);
}
//csvFile = new StreamWriter(File.Open(dataFile, FileMode.OpenOrCreate), Encoding.UTF8, 4096, false);
//csvGAFile = new StreamWriter(File.Open(dataFileGA, FileMode.OpenOrCreate), Encoding.UTF8, 4096, false);
if (newdatafile)
{
csvFile.Write(new TextWrapper().GetHeader());
}
if (newdatafileGA)
{
csvGAFile.Write(new TextGAWrapper().GetHeader());
}
for (int i = 0; i < fileCount; i++)
{
var map = FileTool.ReadMapFromFile(files[i]);
foreach (var _finder in finders)
{
foreach (var _h in heuristics)
{
var h = new HeuristicFactory().GetImplementation(_h);
var finder = new FinderFactory().GetImplementation(_finder);
if (finder is IGeneticAlgorithm)
{
for (int cross = 0; cross < Crossover.Count(); cross++)
{
for (int mut = 0; mut < Mutation.Count(); mut++)
{
for (int fit = 0; fit < Fitness.Count(); fit++)
{
for (int sel = 0; sel < Selection.Count(); sel++)
{
for (int j = 0; j < option.GaTimes; j++)
{
GC.Collect();
GC.WaitForPendingFinalizers();
var GAFinder = (IGeneticAlgorithm) new FinderFactory().GetImplementation(_finder);
GAFinder.Crossover = new CrossoverFactory().GetImplementation(Crossover[cross]);
GAFinder.Mutate = new MutateFactory().GetImplementation(Mutation[mut]);
GAFinder.Fitness = new FitnessFactory().GetImplementation(Fitness[fit]);
GAFinder.Selection = new SelectionFactory().GetImplementation(Selection[sel]);
var helper = $"\n n:{j},cx:{GAFinder.Crossover.GetType().Name},m:{GAFinder.Mutate.GetType().Name},f:{GAFinder.Fitness.GetType().Name},s:{GAFinder.Selection.GetType().Name}";
var csv = new TextWrapper();
csv = RunStep(csv, i, fileCount, map, h, GAFinder, option.Directory, Path.GetFileName(files[i]), helper);
csvFile.Write(csv.ToString());
var csvGA = new TextGAWrapper
{
Alg = csv.Alg,
MapNumber = csv.MapNumber,
Heuristic = csv.Heuristic,
MapTypeGenerate = csv.MapTypeGenerate,
MapDiagonal = csv.MapDiagonal,
MapSize = csv.MapSize,
Solution = csv.Solution,
Time = csv.Time,
MaxNodes = csv.MaxNodes,
PathLength = csv.PathLength,
Crossover = GAFinder.Crossover.GetType().Name,
Mutation = GAFinder.Mutate.GetType().Name,
Fitness = GAFinder.Fitness.GetType().Name,
Selection = GAFinder.Selection.GetType().Name,
Generations = GAFinder.Generations.ToString(),
};
csvGAFile.Write(csvGA.ToString());
}
}
}
}
}
}
else
{
var csv = new TextWrapper();
csv = RunStep(csv, i, fileCount, map, h, finder, option.Directory, Path.GetFileName(files[i]));
csvFile.Write(csv.ToString());
}
csvFile.Flush();
csvGAFile.Flush();
}
}
}
DrawTextProgressBar(fileCount, fileCount);
csvFile.Dispose();
csvGAFile.Dispose();
}
public async Task <ActionResult> Create([Bind(Include = "Id,Text")] TextBlobModel textBlobModel)
{
if (ModelState.IsValid)
{
var statementProducer = new StatementProducer(new LuisClientFactory("https://eastus2.api.cognitive.microsoft.com/luis/v2.0/apps/79af6370-41bd-4d03-9c7c-5f234eb6049c?subscription-key=784cc32302a84581ab894febc8775393&timezoneOffset=0&verbose=true&q=").Create());
var finder = FinderFactory.CreateFinder();
var urlClassifier = new URLClassification();
textBlobModel.Id = Guid.NewGuid();
textBlobModel.CreatedBy = User.Identity.Name;
var statementTasks = Task.WhenAll(statementProducer.GetStatements(textBlobModel));
var statements = await statementTasks;
// Generate references for each statement
var statementTasks2 = statements
.Select(async statement =>
{
if (statement.Classification == StatementClassification.Other)
{
return(statement);
}
var referenceTasks = (await finder.FindSuggestions(statement.Text)).Select(async uri =>
{
var bias = (await urlClassifier.ClassifyOutletDescription(uri.Host));
return(new Reference
{
Id = Guid.NewGuid(),
CreatedBy = "System",
Link = uri,
Tags = new List <string>(),
Bias = bias == null ? null : new Bias(bias, Guid.NewGuid())
});
});
var references = await Task.WhenAll(referenceTasks);
return(new Statement(statement, references.ToList()));
});
var statementsWithReferences = await Task.WhenAll(statementTasks2);
textBlobModel.Statements = statementsWithReferences.ToList();
var entityFinder = new EntityFinder();
var entities = await entityFinder.GetEntities(textBlobModel.Text);
textBlobModel.Entities = entities
.Select(e => new Entity
{
Id = Guid.NewGuid(),
CreatedBy = "Microsoft Entity Linking",
Name = entityFinder.ExtractEntityName(e),
WikiUrl = entityFinder.ExtractEntityWikiUrlString(e),
Matches = entityFinder.ExtractMatches(e)
.Select(tuple => new Match
{
Id = Guid.NewGuid(),
Text = tuple.Item1,
Offset = tuple.Item2
})
.ToList()
})
.ToList();
// Save TextBlob
db.TextBlobModels.Add(textBlobModel);
await db.SaveChangesAsync();
await FetchPersonas(textBlobModel);
return(View(textBlobModel));
}
return(View(textBlobModel));
}
public IMap DefineMap(DiagonalMovement diagonal, int width, int height, int seed, int minPathLength)
{
int _GDC(int a, int b) => (b == 0 || a == 0) ? a | b : _GDC(Min(a, b), Max(a, b) % Min(a, b));
var blocksize = Blocksize > 0 ? Blocksize : _GDC(width, height);
var IsAGoodMap = false;
IMap ret = null;
// finder para valida se o mapa é passavel
var aStar = FinderFactory.GetAStarImplementation();
IHeuristic heuristic;
heuristic = diagonal == DiagonalMovement.Never ?
HeuristicFactory.GetManhattamImplementation() :
HeuristicFactory.GetOctileImplementation();
var subgrid = new List <Node>();
while (!IsAGoodMap)
{
var nodes = new List <Node>();
var _map = new Map(diagonal, width, height);
var size = Convert.ToInt32(blocksize * blocksize * (seed / 100M));
var rand = new Random();
while (size > 0)
{
var p = RandNode(rand, blocksize, blocksize, true);
subgrid.Add(p);
size--;
}
for (int i = 0; i < width; i += blocksize)
{
for (int j = 0; j < height; j += blocksize)
{
foreach (var item in subgrid)
{
var x = item.X + i;
var y = item.Y + j;
if (x < width && y < height)
{
var node = new Node(x, y, false);
GridMap.Add(node);
}
}
}
}
_map.DefineAllNodes(GridMap);
_map.StartNode = RandNode(rand, width, height, false);
_map.EndNode = RandNode(rand, width, height, false);
if (!_map.ValidMap())
{
throw new Exception("Invalid map configuration");
}
if (aStar.Find(_map, heuristic)) // verifica se o mapa possui um caminho
{
var path = _map.GetPath();
if (path.Max(e => e.G) >= minPathLength) // verifica se o caminho sastifaz o tamanho minimo
{
IsAGoodMap = true;
_map.Clear();
ret = _map;
}
}
GridMap = new List <Node>();
subgrid = new List <Node>();
}
ret.Clear();
ret.MapType = MapGeneratorEnum.WithPattern;
return(ret);
}
// GET: Sentences/Details
public async Task <IActionResult> Details(Guid Id)
{
if (!ModelState.IsValid)
{
return(NotFound());
}
var _sent = _context.Sentences
.SingleOrDefault(s => (s.Id == Id && s.Type == SentenceType.OBJECTIVE));
if (_sent == null)
{
return(NotFound());
}
var factory = new FinderFactory(_configuration["Authentication:Finder:Key"]);
var finder = factory.CreateFinder();
var urlClassifier = new URLClassification();
var referenceTasks = (await finder.FindSuggestions(_sent.Content))
.Select(async uri =>
{
var bias = await urlClassifier.ClassifyOutletDescription(uri.Host);
return(new Reference
{
Id = Guid.NewGuid(),
CreatedBy = "System",
Link = uri,
Tags = new List <string>(),
Bias = bias == null ? null : new Bias(bias, Guid.NewGuid())
});
});
var references = await Task.WhenAll(referenceTasks);
var entityFinder = new EntityFinder(_configuration["Authentication:Entity:Key"]);
var entityList = (await entityFinder.GetEntities(_sent.Content))
.Select(e => new Entity
{
Id = Guid.NewGuid(),
CreatedBy = "Microsoft Entity Linking",
Name = entityFinder.ExtractEntityName(e),
WikiUrl = entityFinder.ExtractEntityWikiUrlString(e),
Matches = entityFinder.ExtractMatches(e)
.Select(tuple => new Match
{
Id = Guid.NewGuid(),
Text = tuple.Item1,
Offset = tuple.Item2
})
.ToList()
}).ToList();
var entityTasks = entityList
.Select(async e =>
{
e.Persona = PersonasDBLookups.ByName[e.Name].FirstOrDefault();
if (e.Persona != null)
{
await e.Persona.FetchRecentStatements();
}
return(e);
});
var entities = await Task.WhenAll(entityTasks);
return(Json(new
{
References = references,
Entities = entities
}));
}
public LoadCoordinatorFactory(FinderFactory finderFactory)
{
_finderFactory = finderFactory;
}
