/// <summary>
///
/// </summary>
/// <param name="g"></param>
/// <returns></returns>
private Coordinate[] ExtractTargetCoordinates(IGeometry g)
{
// TODO: should do this more efficiently. Use CoordSeq filter to get points, KDTree for uniqueness & queries
OrderedSet <Coordinate> ptSet = new OrderedSet <Coordinate>(g.Coordinates);
Coordinate[] result = new Coordinate[ptSet.Count];
ptSet.CopyTo(result, 0);
return(result);
}
/// Returns all entities which are currently in the context.
public TEntity[] GetEntities()
{
if (_entitiesCache == null)
{
_entitiesCache = new TEntity[_entities.Count];
_entities.CopyTo(_entitiesCache);
}
return(_entitiesCache);
}
public void OrderedSet_CopiesTo_ByInsertionOrder()
{
IEnumerable <string> expectedItems = Enumerable.Range(0, 10).Reverse().Select(v => v.ToString());
var set = new OrderedSet <string>();
foreach (var item in expectedItems)
{
set.Add(item);
}
var copiedArray = new string[10];
set.CopyTo(copiedArray, 0);
Assert.Equal(expectedItems, copiedArray);
}
public void OrderedSet_CopiesTo_ByInsertionOrder_AndRespectsArrayIndex()
{
IEnumerable <string> expectedItems = Enumerable.Range(0, 10).Reverse().Select(v => v.ToString());
var set = new OrderedSet <string>();
foreach (var item in expectedItems)
{
set.Add(item);
}
var copiedArray = new string[15];
set.CopyTo(copiedArray, 5);
Assert.Equal(new string[5], copiedArray.Take(5));
Assert.Equal(expectedItems, copiedArray.Skip(5));
}
public void CopyWholeSetToArray()
{
var set = new OrderedSet <int> {
3, 1, 2
};
var array = new int[3];
set.CopyTo(array, 0);
Assert.Equal(array.Length, 3);
Assert.Equal(array[0], 3);
Assert.Equal(array[1], 1);
Assert.Equal(array[2], 2);
//Change set, ensure array does not change
Assert.True(set.Add(4));
Assert.Equal(array.Length, 3);
Assert.Equal(array[0], 3);
Assert.Equal(array[1], 1);
Assert.Equal(array[2], 2);
}
public void AssertThat_CopyTo_IsOrderedByInsertionOrder()
{
var r = new LinearFeedbackShiftRegister32(1);
for (var i = 0; i < 100; i++)
{
_set.Add((int)r.NextRandom());
}
var items = new int[100];
_set.CopyTo(items, 0);
var r2 = new LinearFeedbackShiftRegister32(1);
foreach (var item in items)
{
Assert.AreEqual((int)r2.NextRandom(), item);
}
}
/// <summary>
/// Uses a heuristic to reduce the number of points scanned to compute the hull.
/// The heuristic is to find a polygon guaranteed to
/// be in (or on) the hull, and eliminate all points inside it.
/// A quadrilateral defined by the extremal points
/// in the four orthogonal directions
/// can be used, but even more inclusive is
/// to use an octilateral defined by the points in the 8 cardinal directions.
/// Note that even if the method used to determine the polygon vertices
/// is not 100% robust, this does not affect the robustness of the convex hull.
/// </summary>
/// <param name="pts"></param>
/// <returns></returns>
private ICoordinate[] Reduce(ICoordinate[] pts)
{
ICoordinate[] polyPts = ComputeOctRing(inputPts);
// unable to compute interior polygon for some reason
if (polyPts == null)
{
return(inputPts);
}
// add points defining polygon
OrderedSet <ICoordinate> reducedSet = new OrderedSet <ICoordinate>();
for (int i = 0; i < polyPts.Length; i++)
{
reducedSet.Add(polyPts[i]);
}
/*
* Add all unique points not in the interior poly.
* CGAlgorithms.IsPointInRing is not defined for points actually on the ring,
* but this doesn't matter since the points of the interior polygon
* are forced to be in the reduced set.
*/
for (int i = 0; i < inputPts.Length; i++)
{
if (!CGAlgorithms.IsPointInRing(inputPts[i], polyPts))
{
reducedSet.Add(inputPts[i]);
}
}
ICoordinate[] arr = new ICoordinate[reducedSet.Count];
reducedSet.CopyTo(arr, 0);
return(arr);
}
void ICollection <IKProtocolEndpoint <TNodeId> > .CopyTo(IKProtocolEndpoint <TNodeId>[] array, int arrayIndex)
{
using (sync.BeginReadLock())
set.CopyTo(array, arrayIndex);
}
/// <summary>
///
/// </summary>
/// <param name="g"></param>
/// <returns></returns>
private Coordinate[] ExtractTargetCoordinates(IGeometry g)
{
// TODO: should do this more efficiently. Use CoordSeq filter to get points, KDTree for uniqueness & queries
OrderedSet<Coordinate> ptSet = new OrderedSet<Coordinate>(g.Coordinates);
Coordinate[] result = new Coordinate[ptSet.Count];
ptSet.CopyTo(result, 0);
return result;
}
