//////////// Helper Functions ///////////////
/* Called by RunOnline_LiuMethod_edited:*/
public static List <double> LiuEdited_CaseA(List <double> inputData, int index_stream, RTree <int> this_RTree, int this_NLength, int this_D)
{ /* This function is almost the same as Offline_minDist version. We just edit some lines*/
List <int> candidateList = new List <int>();
List <int> beginIndexInner = new List <int>();
List <int> indexOfLeafMBRS = new List <int>();
bool[] is_skipped_at_p = new bool[inputData.Count];
for (int i = 0; i < inputData.Count; i++)
{
is_skipped_at_p[i] = false;
}
double best_so_far_dist = 0;
int best_so_far_loc = 0;
double nearest_neighbor_dist = 0;
double dist = 0;
bool break_to_outer_loop = false;
Dictionary <int, Node <int> > nodeMap = this_RTree.getNodeMap();
List <Node <int> > leafNodes = nodeMap.Values.Where(node => node.level == 1).OrderBy(node => node.entryCount).ToList();
List <Rectangle> leafMBRs = leafNodes.Select(node => node.mbr).ToList(); // List rectangle of leaf nodes in order of list leafNodes
for (int i = 0; i < leafNodes.Count; i++)
{
List <Rectangle> leafEntries = leafNodes[i].entries.Where(mbr => mbr != null).Select(mbr => mbr).ToList();
if (leafEntries.Count > 0)
{
int beginIndex = candidateList.Count;
// we change a bit at the following line, we subtract mbr indice by "index_stream + 1":
candidateList.AddRange(leafEntries.Select(mbr => mbr.getIndexSubSeq(index_stream + 1)));
beginIndexInner.AddRange(Enumerable.Repeat(beginIndex, leafEntries.Count));
indexOfLeafMBRS.AddRange(Enumerable.Repeat(i, leafEntries.Count));
}
}
for (int i = 0; i < candidateList.Count; i++)//outer loop
{
int p = candidateList[i];
if (is_skipped_at_p[p])
{
//p was visited at inner loop before
continue;
}
else
{
List <double> subseq_p = inputData.GetRange(p, this_NLength);
//Rectangle p_rectangle = recList[p];
List <double> P_PAA = MathFuncs.PAA(subseq_p, this_D);
nearest_neighbor_dist = Constants.INFINITE;
List <bool> eliminatedMBR = new List <bool>();
for (int k = 0; k < leafMBRs.Count; k++)
{
eliminatedMBR.Add(false);
}
int indexMBRLeaf = -1;
int num_leaf_skips = 0;
for (int j = 0; j < candidateList.Count; j++)// inner loop
{
// int q = innerList[j];
int index_inner = (beginIndexInner[i] + j) % candidateList.Count;
int q = candidateList[index_inner];
int index_MBRInnner = (beginIndexInner[i] + j) % candidateList.Count;
int MBRInnner = indexOfLeafMBRS[index_MBRInnner];
if (indexMBRLeaf < MBRInnner)//the first entry of the next node ?
{
indexMBRLeaf++;
//calc minDist:
//double minDist = MathFuncs.MINDIST(p_rectangle, leafMBRs[MBRInnner], (NLength / (double)(D)));
double minDist = MathFuncs.MINDIST(P_PAA, leafMBRs[MBRInnner], (this_NLength / (double)(this_D)));
if (minDist >= nearest_neighbor_dist)
{
num_leaf_skips++;
eliminatedMBR[MBRInnner] = true;
continue;// pruned => skip to the next one
}
else
{
if (Math.Abs(p - q) < this_NLength)
{
continue;// self-match => skip to the next one
}
//calculate the Distance between p and q
dist = MathFuncs.EuDistance(subseq_p, inputData.GetRange(q, this_NLength));
if (dist < best_so_far_dist)
{
//skip the element q at oute_loop, 'cuz if (p,q) is not a solution, neither is (q,p).
is_skipped_at_p[q] = true;
break_to_outer_loop = true; //break, to the next loop at outer_loop
break; // break at inner_loop first
}
if (dist < nearest_neighbor_dist)
{
nearest_neighbor_dist = dist;
}
}
}
else // still the same node
{
if (eliminatedMBR[MBRInnner]) // can prune ?
{
continue;
}
else //do it normally
{
if (Math.Abs(p - q) < this_NLength)
{
continue;// self-match => skip to the next one
}
else
{
//calculate the Distance between p and q
dist = MathFuncs.EuDistance(subseq_p, inputData.GetRange(q, this_NLength));
if (dist < best_so_far_dist)
{
//skip the element q at oute_loop, 'cuz if (p,q) is not a solution, neither is (q,p).
is_skipped_at_p[q] = true;
break_to_outer_loop = true; //break, to the next loop at outer_loop
break; // break at inner_loop first
}
if (dist < nearest_neighbor_dist)
{
nearest_neighbor_dist = dist;
}
}
}
} //end ELSE
} //end for inner loop
if (break_to_outer_loop)
{
break_to_outer_loop = false; //reset
continue; //go to the next p in outer loop
}
if (nearest_neighbor_dist > best_so_far_dist)
{
best_so_far_dist = nearest_neighbor_dist;
best_so_far_loc = p;
}
}
}//end outer loop
Console.WriteLine("index_stream=" + index_stream);
Console.WriteLine("best_so_far_loc=" + best_so_far_loc);
Console.WriteLine("best_so_far_dist=" + best_so_far_dist);
List <double> result = new List <double> {
best_so_far_dist, best_so_far_loc
};
return(result);
} //end RunOnline_LiuEditedCaseA
} //end RunOnline_LiuEditedCaseA
/* Called by RunOnline_LiuMethod_edited:*/
public static List <double> LiuEdited_CaseB(List <double> buffer, int index_stream, int first_candidate, int second_candidate, List <double> removed_sub, RTree <int> this_RTree, int this_NLength, int this_D, double this_best_so_far_dist)
{
List <int> candidateList = new List <int>();
List <int> beginIndexInner = new List <int>();
List <int> indexOfLeafMBRS = new List <int>();
Dictionary <int, Node <int> > nodeMap = this_RTree.getNodeMap();
List <Node <int> > leafNodes = nodeMap.Values.Where(node => ((node.level == 1))).OrderBy(node => node.entryCount).ToList();
List <Rectangle> leafMBRs = leafNodes.Select(node => node.mbr).ToList(); // List rectangle of leaf nodes in order of list leafNodes
for (int num = 0; num < leafNodes.Count; num++)
{
List <Rectangle> leafEntries = leafNodes[num].entries.Where(mbr => mbr != null).Select(mbr => mbr).ToList();
if (leafEntries.Count > 0)
{
int beginIndex = candidateList.Count;
// we change a bit at the following line, we subtract mbr indice by "index_stream + 1":
candidateList.AddRange(leafEntries.Select(mbr => mbr.getIndexSubSeq(index_stream + 1)));
beginIndexInner.AddRange(Enumerable.Range(1, leafEntries.Count).Select(x => beginIndex));
indexOfLeafMBRS.AddRange(Enumerable.Repeat(num, leafEntries.Count));
}
} // end for
// get the two first candidates to the head of candidateList
int count = 0;
int index = 0;
while (count < 1)
{
if (candidateList[index] == first_candidate)
{
candidateList[index] = candidateList[0];
int temp = beginIndexInner[index];
beginIndexInner[index] = beginIndexInner[0];
beginIndexInner[0] = temp;
count++;
}
if (candidateList[index] == second_candidate)
{
candidateList[index] = candidateList[1];
int temp = beginIndexInner[index];
beginIndexInner[index] = beginIndexInner[1];
beginIndexInner[1] = temp;
count++;
}
index++;
}
candidateList[0] = first_candidate;
candidateList[1] = second_candidate;
double best_so_far_dist = 0;
int best_so_far_loc = 0;
double nearest_neighbor_dist = 0;
double dist = 0;
bool break_to_outer_loop = false;
bool[] is_skipped_at_p = new bool[buffer.Count];
for (int i = 0; i < buffer.Count; i++)
{
is_skipped_at_p[i] = false;
}
for (int i = 0; i < candidateList.Count; i++)
{
int p = candidateList[i];
//check small_match:
double small_match = Utils.MathFuncs.EuDistance(buffer.GetRange(p, this_NLength), removed_sub);
if (i >= 2 && small_match >= this_best_so_far_dist)
{
continue;
}
if (is_skipped_at_p[p])
{
//p was visited at inner loop before
continue;
}
else
{
List <double> subseq_p = buffer.GetRange(p, this_NLength);
//Rectangle p_rectangle = recList[p];
List <double> P_PAA = MathFuncs.PAA(subseq_p, this_D);
nearest_neighbor_dist = Constants.INFINITE;
List <bool> eliminatedMBR = new List <bool>();
for (int k = 0; k < leafMBRs.Count; k++)
{
eliminatedMBR.Add(false);
}
int indexMBRLeaf = -1;
for (int j = 0; j < candidateList.Count; j++)// inner loop
{
// int q = innerList[j];
int index_inner = (beginIndexInner[i] + j) % candidateList.Count;
int q = candidateList[index_inner];
int index_MBRInnner = (beginIndexInner[i] + j) % candidateList.Count;
int MBRInnner = indexOfLeafMBRS[index_MBRInnner];
if (indexMBRLeaf < MBRInnner)//the first entry of the next node ?
{
indexMBRLeaf++;
/* Test:
* if (indexMBRInnner[j] == MBRInnner)
* Console.WriteLine("OK");*/
//calc minDist:
//double minDist = MathFuncs.MINDIST(p_rectangle, leafMBRs[MBRInnner], (NLength / (double)(D)));
double minDist = MathFuncs.MINDIST(P_PAA, leafMBRs[MBRInnner], (this_NLength / (double)(this_D)));
//if (minDist_keo > minDist)
//{
// Console.WriteLine("STOPPP");
// return;
//}
if (minDist >= nearest_neighbor_dist)
{
eliminatedMBR[MBRInnner] = true;
continue;// pruned => skip to the next one
}
else
{
if (Math.Abs(p - q) < this_NLength)
{
continue;// self-match => skip to the next one
}
//calculate the Distance between p and q
dist = MathFuncs.EuDistance(subseq_p, buffer.GetRange(q, this_NLength));
if (dist < best_so_far_dist)
{
//skip the element q at oute_loop, 'cuz if (p,q) is not a solution, neither is (q,p).
is_skipped_at_p[q] = true;
break_to_outer_loop = true; //break, to the next loop at outer_loop
break; // break at inner_loop first
}
if (dist < nearest_neighbor_dist)
{
nearest_neighbor_dist = dist;
}
}
}
else // still the same node
{
if (eliminatedMBR[MBRInnner]) // can prune ?
{
continue;
}
else //do it normally
{
if (Math.Abs(p - q) < this_NLength)
{
continue;// self-match => skip to the next one
}
else
{
//calculate the Distance between p and q
dist = MathFuncs.EuDistance(subseq_p, buffer.GetRange(q, this_NLength));
if (dist < best_so_far_dist)
{
//skip the element q at oute_loop, 'cuz if (p,q) is not a solution, neither is (q,p).
is_skipped_at_p[q] = true;
break_to_outer_loop = true; //break, to the next loop at outer_loop
break; // break at inner_loop first
}
if (dist < nearest_neighbor_dist)
{
nearest_neighbor_dist = dist;
}
}
}
} //end ELSE
} //end for inner loop
//Console.WriteLine("num_leaf_skips="+ num_leaf_skips);
if (break_to_outer_loop)
{
break_to_outer_loop = false; //reset
continue; //go to the next p in outer loop
}
if (nearest_neighbor_dist > best_so_far_dist)
{
best_so_far_dist = nearest_neighbor_dist;
best_so_far_loc = p;
}
////////////////////////
}
} // end for
//update the results:
Console.WriteLine("index_stream = " + index_stream);
Console.WriteLine("best_so_far_loc = " + best_so_far_loc);
Console.WriteLine("best_so_far_dist = " + best_so_far_dist);
List <double> result = new List <double> {
best_so_far_dist, best_so_far_loc
};
return(result);
} // end RunOnline_Liu_edit
////////////// Main Functions //////////////
/*Run new offline (minDist) */
public static List <double> RunOfflineMinDist(List <double> inputData, int NLength, int maxEntry, int minEntry, int R, int D, ref int this_id_item, ref List <int> this_id_itemList, ref List <Rectangle> this_rectList, ref RTree <int> this_RTree, bool is_first_time)
{
int id_item = int.MinValue;
RTree <int> rtree = new RTree <int>(maxEntry, minEntry);
List <int> candidateList = new List <int>();
List <int> beginIndexInner = new List <int>();
List <int> indexOfLeafMBRS = new List <int>();
double best_so_far_dist = 0;
int best_so_far_loc = -1;
double nearest_neighbor_dist = 0;
double dist = 0;
bool break_to_outer_loop = false;
bool[] is_skipped_at_p = new bool[inputData.Count];
for (int i = 0; i < inputData.Count; i++)
{
is_skipped_at_p[i] = false;
}
if (minEntry > maxEntry / 2)
{
MessageBox.Show("Requirement: MinNodePerEntry <= MaxNodePerEntry/2");
return(new List <double> {
best_so_far_dist, best_so_far_loc
});
}
List <Rectangle> recList = new List <Rectangle>();
List <int> id_itemList = new List <int>();
for (int i = 0; i <= inputData.Count - NLength; i++)
{
List <double> subseq = inputData.GetRange(i, NLength);
id_item++;
Rectangle new_rec = new Rectangle(MathFuncs.PAA_Lower(subseq, D, R).ToArray(), MathFuncs.PAA_Upper(subseq, D, R).ToArray(), i);
rtree.Add(new_rec, id_item);
recList.Add(new_rec);
id_itemList.Add(id_item);
}
Dictionary <int, Node <int> > nodeMap = rtree.getNodeMap();
List <Node <int> > leafNodes = nodeMap.Values.Where(node => node.level == 1).OrderBy(node => node.entryCount).ToList();
List <Rectangle> leafMBRs = leafNodes.Select(node => node.mbr).ToList(); // List rectangle of leaf nodes in order of list leafNodes
for (int i = 0; i < leafNodes.Count; i++)
{
List <Rectangle> leafEntries = leafNodes[i].entries.Where(mbr => mbr != null).Select(mbr => mbr).ToList();
if (leafEntries.Count > 0)
{
int beginIndex = candidateList.Count;
candidateList.AddRange(leafEntries.Select(mbr => mbr.getIndexSubSeq()));
beginIndexInner.AddRange(Enumerable.Repeat(beginIndex, leafEntries.Count));
indexOfLeafMBRS.AddRange(Enumerable.Repeat(i, leafEntries.Count));
}
}
for (int i = 0; i < candidateList.Count; i++)//outer loop
{
int p = candidateList[i];
// rectangle of subseq in p postion
if (is_skipped_at_p[p])
{
//p was visited at inner loop before
continue;
}
else
{
List <double> subseq_p = inputData.GetRange(p, NLength);
//Rectangle p_rectangle = recList[p];
List <double> P_PAA = MathFuncs.PAA(subseq_p, D);
nearest_neighbor_dist = Constants.INFINITE;
List <bool> eliminatedMBR = new List <bool>();
for (int k = 0; k < leafMBRs.Count; k++)
{
eliminatedMBR.Add(false);
}
int indexMBRLeaf = -1;
int num_leaf_skips = 0;
for (int j = 0; j < candidateList.Count; j++)// inner loop
{
// int q = innerList[j];
int index_inner = (beginIndexInner[i] + j) % candidateList.Count;
int q = candidateList[index_inner];
int index_MBRInnner = (beginIndexInner[i] + j) % candidateList.Count;
int MBRInnner = indexOfLeafMBRS[index_MBRInnner];
if (indexMBRLeaf < MBRInnner)//the first entry of the next node ?
{
indexMBRLeaf++;
/* Test:
* if (indexMBRInnner[j] == MBRInnner)
* Console.WriteLine("OK");*/
//calc minDist:
//double minDist = MathFuncss.MINDIST(p_rectangle, leafMBRs[MBRInnner], (NLength / (double)(D)));
double minDist = MathFuncs.MINDIST(P_PAA, leafMBRs[MBRInnner], (NLength / (double)(D)));
//if (minDist_keo > minDist)
//{
// Console.WriteLine("STOPPP");
// return;
//}
if (minDist >= nearest_neighbor_dist)
{
num_leaf_skips++;
eliminatedMBR[MBRInnner] = true;
continue;// pruned => skip to the next one
}
else
{
if (Math.Abs(p - q) < NLength)
{
continue;// self-match => skip to the next one
}
//calculate the Distance between p and q
dist = MathFuncs.EuDistance(subseq_p, inputData.GetRange(q, NLength));
if (dist < best_so_far_dist)
{
//skip the element q at oute_loop, 'cuz if (p,q) is not a solution, neither is (q,p).
is_skipped_at_p[q] = true;
break_to_outer_loop = true; //break, to the next loop at outer_loop
break; // break at inner_loop first
}
if (dist < nearest_neighbor_dist)
{
nearest_neighbor_dist = dist;
}
}
}
else // still the same node
{
if (eliminatedMBR[MBRInnner]) // can prune ?
{
continue;
}
else //do it normally
{
if (Math.Abs(p - q) < NLength)
{
continue;// self-match => skip to the next one
}
else
{
//calculate the Distance between p and q
dist = MathFuncs.EuDistance(subseq_p, inputData.GetRange(q, NLength));
if (dist < best_so_far_dist)
{
//skip the element q at oute_loop, 'cuz if (p,q) is not a solution, neither is (q,p).
is_skipped_at_p[q] = true;
break_to_outer_loop = true; //break, to the next loop at outer_loop
break; // break at inner_loop first
}
if (dist < nearest_neighbor_dist)
{
nearest_neighbor_dist = dist;
}
}
}
} //end ELSE
} //end for inner loop
//Console.WriteLine("num_leaf_skips="+ num_leaf_skips);
if (break_to_outer_loop)
{
break_to_outer_loop = false; //reset
continue; //go to the next p in outer loop
}
if (nearest_neighbor_dist > best_so_far_dist)
{
best_so_far_dist = nearest_neighbor_dist;
best_so_far_loc = p;
}
}
}//end outer loop
if (is_first_time)
{
this_id_item = id_item;
this_id_itemList = id_itemList;
this_RTree = rtree;
this_rectList = recList;
}
return(new List <double> {
best_so_far_dist, best_so_far_loc
});
}