public TopKFreqCoder(int K, IList<int> alphabet_freqs, ISymbolCoder not_freq_coder)
{
var top = new TopK<int> (K);
var n = alphabet_freqs.Count;
this.Dic = new int[K];
int i;
for (i = 0; i < n; ++i) {
top.Push (-alphabet_freqs [i], i);
}
i = 0;
foreach (var p in top.Items.Traverse()) {
this.Dic[i] = p.Value;
++i;
}
this.NotFreqCoder = not_freq_coder;
}
public override IResult SearchKNN(object q, int K, IResult res)
{
var m = this.PIVS.Count;
//var max = Math.Min (this.SEARCHPIVS, m);
var max = m;
var P = new TopK<Tuple<double, float, float, Sequence>> (max);
var A = new ushort[this.DB.Count];
var _PIVS = (this.PIVS as SampleSpace).SAMPLE;
for (int piv_id = 0; piv_id < m; ++piv_id) {
var stddev = this.STDDEV [piv_id];
var mean = this.MEAN [piv_id];
var dqp = this.DB.Dist (q, this.PIVS [piv_id]);
++this.internal_numdists;
var seq = this.SEQ [piv_id];
A[_PIVS[piv_id]] = (ushort)max;
res.Push(_PIVS[piv_id], dqp);
var start_sym = this.Discretize (dqp, stddev, mean);
var end_sym = this.Discretize (dqp, stddev, mean);
var count = Math.Min(start_sym, Math.Abs(this.MAX_SYMBOL - end_sym));
P.Push (count, Tuple.Create (dqp, stddev, mean, seq));
}
var queue = new Queue<IEnumerator<Bitmap>> ();
foreach (var p in P.Items.Traverse()) {
var tuple = p.Value;
var it = this.IteratePartsKNN(res, tuple.Item1, tuple.Item2, tuple.Item3, tuple.Item4).GetEnumerator();
if (it.MoveNext()) {
queue.Enqueue(it);
}
}
int Isize = 0;
while (queue.Count > 0) {
var L = queue.Dequeue();
var rs = L.Current;
var count1 = rs.Count1;
for (int i = 1; i <= count1; ++i) {
var item = rs.Select1 (i);
A [item]++;
if (A [item] == max) {
var dist = this.DB.Dist (q, this.DB [item]);
res.Push (item, dist);
++Isize;
}
}
// Console.WriteLine ("*** queue-count: {0}, count1: {1}, max: {2}, Isize: {3}", queue.Count, count1, max, Isize);
if (L.MoveNext ()) {
queue.Enqueue (L);
}
}
return res;
}
public override IResult SearchRange(object q, double radius)
{
var m = this.PIVS.Count;
var P = new TopK<Tuple<double, int, int, Sequence>> (m);
for (int piv_id = 0; piv_id < m; ++piv_id) {
var dqp = this.DB.Dist (q, this.PIVS [piv_id]);
++this.internal_numdists;
var stddev = this.STDDEV [piv_id];
var mean = this.MEAN [piv_id];
var start_sym = this.Discretize (dqp - radius, stddev, mean);
var seq = this.SEQ [piv_id];
var end_sym = this.Discretize (dqp + radius, stddev, mean);
var count = 0;
var n = seq.Count;
for (int s = start_sym; s <= end_sym; ++s) {
count += seq.Rank (s, n - 1);
}
P.Push (count, Tuple.Create (dqp, start_sym, end_sym, seq));
}
HashSet<int> A = new HashSet<int>();
HashSet<int> B = null;
int I = 0;
foreach (var p in P.Items.Traverse()) {
var tuple = p.Value;
// var dpq = tuple.Item1;
var start_sym = tuple.Item2;
var end_sym = tuple.Item3;
var seq = tuple.Item4;
for (int s = start_sym; s <= end_sym; ++s) {
var rs = seq.Unravel(s);
var count1 = rs.Count1;
for (int i = 1; i <= count1; ++i) {
if (B == null) {
A.Add( rs.Select1(i) );
} else {
var pos = rs.Select1(i);
if (A.Contains(pos)) {
B.Add( pos );
}
}
}
}
if (B == null) {
B = new HashSet<int>();
} else {
A = B;
B = new HashSet<int>();
}
++I;
}
// Console.WriteLine();
B = null;
var res = new Result(this.DB.Count, false);
foreach (var docid in A) {
var d = this.DB.Dist(this.DB[docid], q);
if (d <= radius) {
res.Push(docid, d);
}
}
return res;
}
protected void BuildNodeRandom(Node node, IList<ItemPair> input_collection, int arity, ref int count_step)
{
++count_step;
if (count_step < 100 || count_step % 100 == 0) {
Console.WriteLine ("======== SAT_Randomized build_node: {0}, arity: {1}, part-size: {2}, advance: {3}/{4}", node.objID, arity, input_collection.Count, count_step, this.DB.Count);
}
var partition = new List< IList<ItemPair> > ();
int count_arity;
for (count_arity = 0; count_arity < arity && count_arity < input_collection.Count; ++count_arity) {
var i = this.rand.Next (count_arity, input_collection.Count);
// swap
var child_item = input_collection [i];
input_collection [i] = input_collection [count_arity];
input_collection [count_arity] = child_item;
node.cov = Math.Max (node.cov, child_item.dist);
node.Children.Add( new Node(child_item.objID) );
partition.Add ( new List<ItemPair> () );
}
for (int i = count_arity; i < input_collection.Count; ++i) {
var curr_item = input_collection[i];
node.cov = Math.Max (node.cov, curr_item.dist);
var curr_OBJ = this.DB [curr_item.objID];
var closer = new TopK<int> (1);
for (int child_ID = 0; child_ID < node.Children.Count; ++child_ID) {
var child_OBJ = this.DB [node.Children[child_ID].objID];
var d_child_curr = this.DB.Dist (child_OBJ, curr_OBJ);
closer.Push (d_child_curr, child_ID);
}
var p = closer.Items.GetFirst ();
var closer_child_ID = p.Value;
// var closer_child_objID = node.Children[closer_child_ID].objID;
//Console.WriteLine("<X {0},{1}>", closer_child_ID, closer_child_objID);
partition[closer_child_ID].Add(new ItemPair(curr_item.objID, p.Key));
}
for (int child_ID = 0; child_ID < node.Children.Count; ++child_ID) {
//Console.WriteLine ("=== child objID: {0}, child_ID: {1}", node.Children[child_ID].objID, child_ID);
this.BuildNodeRandom(node.Children[child_ID], partition[ child_ID ], arity, ref count_step);
}
}