public override double DoubleVal(int doc)
{
var vals = cache.GetShapes(doc);
if (vals != null)
{
double v = calculator.Distance(from, vals[0]);
for (int i = 1; i < vals.Count; i++)
{
v = Math.Min(v, calculator.Distance(from, vals[i]));
}
// Solr's 'recip' function where v = distance and v > 0.
return(v > 0 ? 1000 / (1 * v + 1000) : 0);
}
return(Double.NaN);
}
static void Main()
{
Point3D first = new Point3D(-4, -1, -3);
Point3D second = new Point3D(1, 2, 3);
Console.WriteLine(DistanceCalculator.Distance(first, second));
}
private static void PaintKernel(
Index i,
Template template,
ArrayView <float> series,
ArrayView2D <float> clusters,
ArrayView <int> outPutHeatMap,
float error)
{
//TODO: refactor this peace of vector creation
for (int i5 = template.Distance1 + template.Distance2 + template.Distance3 + template.Distance4,
i4 = i5 - template.Distance4,
i3 = i5 - template.Distance4 - template.Distance3,
i2 = i5 - template.Distance4 - template.Distance3 - template.Distance2,
i1 = i5 - template.Distance4 - template.Distance3 - template.Distance2 - template.Distance1;
i5 < series.Length - 1; i5++, i4++, i3++, i2++, i1++)
{
if (Math.Abs(series[i5] - clusters[i, 4]) < 0.1)
{
var vector = new float[] { series[i1], series[i2], series[i3], series[i4], series[i5] };
var cluster = new float[] { clusters[i, 0], clusters[i, 1], clusters[i, 2], clusters[i, 3], clusters[i, 4] };
double distance = DistanceCalculator.Distance(vector, cluster);
if (distance <= error)
{
outPutHeatMap[i1]++;
outPutHeatMap[i2]++;
outPutHeatMap[i3]++;
outPutHeatMap[i4]++;
}
}
}
}
static void Main()
{
Point point = new Point(5, 10, 15);
Point point2 = new Point(10, 15, 20);
double distance = DistanceCalculator.Distance(point, point2);
Console.WriteLine(distance);
}
// Forecast one point further
private static float ForecastNext(
IList <Template> templates,
IList <float[][]> clusters,
ReadOnlySpan <float> tmp,
float error)
{
float forecastedPoint = float.NaN;
float forecastintDistance = float.MaxValue;
int clustersCount = 0;
var cnt = tmp.Length;
var realVectorData = new float[4];
foreach (var template in templates)
{
int idx4 = cnt - template.Distance4,
idx3 = idx4 - template.Distance3,
idx2 = idx3 - template.Distance2,
idx1 = idx2 - template.Distance1;
realVectorData[0] = tmp[idx1];
realVectorData[1] = tmp[idx2];
realVectorData[2] = tmp[idx3];
realVectorData[3] = tmp[idx4];
var clustersOfTemplate = clusters[templateToIndex(template)];
foreach (var cluster in clustersOfTemplate)
{
if (DistanceCalculator.Distance(realVectorData, cluster) < error)
{
clustersCount++;
if (DistanceCalculator.Distance(realVectorData, cluster) < forecastintDistance)
{
forecastintDistance = DistanceCalculator.Distance(realVectorData, cluster);
forecastedPoint = cluster[4];
}
}
}
}
return(forecastedPoint);
//return (currResult, clustersCount);
// additional local functions
int templateToIndex(Template tpl)
{
// TODO: replace -1 with the lowest template distance-values
return((tpl.Distance1 - 1) * 1000 +
(tpl.Distance2 - 1) * 100 +
(tpl.Distance3 - 1) * 10 +
(tpl.Distance4 - 1));
}
}
public override double DoubleVal(int doc)
{
// make sure it has minX and area
if (validX.Get(doc))
{
Debug.Assert(validY.Get(doc));
return(calculator.Distance(from, ptX[doc], ptY[doc]));
}
return(nullValue);
}
/// <summary>
/// Returns the normalized direction of 2 vectors
/// </summary>
/// <param name="origin"></param>
/// <param name="destination"></param>
/// <returns></returns>
public Vector3d GetDirectional(Vector3d origin, Vector3d destination)
{
var distance = _distanceCalculator.Distance(origin, destination);
return(new Vector3d
{
X = distance == 0 ? 0 : destination.X / distance,
Y = distance == 0 ? 0 : destination.Y / distance,
Z = distance == 0 ? 0 : destination.Z / distance
});
}
private static void PaintKernel2d(
Index2 i,
ArrayView <Template> templates,
ArrayView <float> series,
ArrayView3D <float> clusters,
ArrayView <int> outPutHeatMap,
float error)
{
var template = templates[i.X];
var cluster = new float[] { clusters[i.X, i.Y, 0], clusters[i.X, i.Y, 1], clusters[i.X, i.Y, 2], clusters[i.X, i.Y, 3], clusters[i.X, i.Y, 4] };
bool isExtra = true;
for (int j = 0; j < cluster.Length; j++)
{
if (cluster[j] != 0f)
{
isExtra = false;
}
}
if (!isExtra)
{
for (int i5 = template.Distance1 + template.Distance2 + template.Distance3 + template.Distance4,
i4 = i5 - template.Distance4,
i3 = i5 - template.Distance4 - template.Distance3,
i2 = i5 - template.Distance4 - template.Distance3 - template.Distance2,
i1 = i5 - template.Distance4 - template.Distance3 - template.Distance2 - template.Distance1;
i5 < series.Length - 1; i5++, i4++, i3++, i2++, i1++)
{
if (Math.Abs(series[i5] - clusters[i.X, i.Y, 4]) < 0.1)
{
var vector = new float[] { series[i1], series[i2], series[i3], series[i4], series[i5] };
double distance = DistanceCalculator.Distance(vector, cluster);
if (distance <= error)
{
outPutHeatMap[i1]++;
outPutHeatMap[i2]++;
outPutHeatMap[i3]++;
outPutHeatMap[i4]++;
}
}
}
}
}
public async Task <List <Event> > FindByCoordinates(double latitude, double longitude, double distance)
{
// Unfortunately DbGeography is not implemented in EF7 - will have to fetch all locations with coordinates and then manually calculate distance
var locations = await _eventLocationRepository.FindAll(el => el.Latitude.HasValue && el.Longitude.HasValue)
.Select(el => new { el.Id, Latitude = el.Latitude.Value, Longitude = el.Longitude.Value })
.ToListAsync();
var locationIds = locations.Where(l => DistanceCalculator.Distance(l.Latitude, l.Longitude, latitude, longitude) <= distance)
.Select(l => l.Id)
.ToList();
return(await _eventRepository.FindAll(e => locationIds.Contains(e.StartEventLocationId))
.Where(e => !e.IsDeleted.HasValue || e.IsDeleted.Value == false)
.Include(e => e.OwnerUser)
.Include(e => e.EventType)
.Include(e => e.StartLocation)
.Include(e => e.EndLocation)
.ToListAsync());
}
public double Score(Rectangle indexRect, Explanation exp)
{
double score;
if (indexRect == null)
{
score = nullValue;
}
else
{
score = distCalc.Distance(queryPoint, indexRect.GetCenter());
}
if (exp != null)
{
exp.SetValue((float)score);
exp.SetDescription(GetType().Name);
exp.AddDetail(new Explanation(-1f, "" + queryPoint));
exp.AddDetail(new Explanation(-1f, "" + indexRect));
}
return(score);
}
public static ReadOnlySpan <int> Paint(IList <Template> templates,
IList <float[][]> clusters,
float[] series,
float error)
{
Span <int> seriesHeatMap = new int[series.Length];
for (int i = 0; i < templates.Count; i++)
{
var template = templates[i];
foreach (var cluster in clusters[i])
{
//TODO: refactor this peace of vector creation
for (int i5 = template.Distance1 + template.Distance2 + template.Distance3 + template.Distance4,
i4 = i5 - template.Distance4,
i3 = i5 - template.Distance4 - template.Distance3,
i2 = i5 - template.Distance4 - template.Distance3 - template.Distance2,
i1 = i5 - template.Distance4 - template.Distance3 - template.Distance2 - template.Distance1;
i5 < series.Length - 1; i5++, i4++, i3++, i2++, i1++)
{
if (Math.Abs(series[i5] - cluster[4]) < 0.1)
{
var vector = new float[] { series[i1], series[i2], series[i3], series[i4], series[i5] };
double distance = DistanceCalculator.Distance(vector, cluster);
if (distance <= error)
{
seriesHeatMap[i1]++;
seriesHeatMap[i2]++;
seriesHeatMap[i3]++;
seriesHeatMap[i4]++;
}
}
}
}
}
return(seriesHeatMap);
}
public async Task <List <Event> > DownloadEvents(DateTime startDate, DateTime endDate, GeoPoint usersLocation = null)
{
var baseUrl = "https://developer.microsoft.com/en-us/reactor/api/sp/events";
var start = startDate.ToString("s");
var end = endDate.ToString("s");
var webClient = new WebClient();
var json = await webClient.DownloadStringTaskAsync($"{baseUrl}?from={start}.111Z&to={end}.111Z");
var eventsResponse = Response.FromJson(json);
foreach (var e in eventsResponse.Events)
{
GeoPoint geoPoint = null;
switch (e.City)
{
case Models.Enums.City.London:
geoPoint = new GeoPoint(51.521661, -0.084660);
e.Location = new Location()
{
Name = "London", GeoPoint = geoPoint
};
break;
case Models.Enums.City.NewYork:
geoPoint = new GeoPoint(40.756989, -73.989708);
e.Location = new Location()
{
Name = "New York", GeoPoint = geoPoint
};
break;
case Models.Enums.City.RedmondB20:
geoPoint = new GeoPoint(47.643826, -122.130709);
e.Location = new Location()
{
Name = "Redmond Building 20", GeoPoint = geoPoint
};
break;
case Models.Enums.City.RedmondB25:
geoPoint = new GeoPoint(47.644840, -122.130031);
e.Location = new Location()
{
Name = "Redmond Building 25", GeoPoint = geoPoint
};
break;
case Models.Enums.City.Seattle:
geoPoint = new GeoPoint(47.621460, -122.338058);
e.Location = new Location()
{
Name = "Seattle", GeoPoint = geoPoint
};
break;
case Models.Enums.City.SanFrancisco:
geoPoint = new GeoPoint(37.784599, -122.398529);
e.Location = new Location()
{
Name = "San Francisco", GeoPoint = geoPoint
};
break;
case Models.Enums.City.Sydney:
geoPoint = new GeoPoint(-33.767048, 151.090646);
e.Location = new Location()
{
Name = "Sydney", GeoPoint = geoPoint
};
break;
}
if (usersLocation != null)
{
e.Location.DistanceFromUser = DistanceCalculator.Distance(geoPoint, usersLocation);
}
}
var results = eventsResponse.Events.ToList();
//Lets order by closest Reactor space.
if (usersLocation != null)
{
results = results.OrderBy(x => x.Location.DistanceFromUser).ToList();
}
return(results);
}
public override double Distance(Point @from, double toX, double toY)
{
return(Round(_delegate.Distance(from, toX, toY)));
}