1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177
|
#include "sparsematrix.hpp"
#include "listvector.hpp"
/***********************************************************************/
SparseMatrix::SparseMatrix() : numNodes(0), minsIndex(0), smallDist(1e6){ m = MothurOut::getInstance(); }
/***********************************************************************/
int SparseMatrix::getNNodes(){
return numNodes;
}
/***********************************************************************/
float SparseMatrix::getSmallDist(){
return smallDist;
}
/***********************************************************************/
MatData SparseMatrix::rmCell(MatData data){
try {
if(data->vectorMap != NULL ){
*(data->vectorMap) = NULL;
data->vectorMap = NULL;
}
data = matrix.erase(data);
numNodes--;
return(data);
// seems like i should be updating smallDist here, but the only time we remove cells is when
// clustering and the clustering algorithm updates smallDist
}
catch(exception& e) {
m->errorOut(e, "SparseMatrix", "rmCell");
exit(1);
}
}
/***********************************************************************/
void SparseMatrix::addCell(PCell value){
try {
matrix.push_back(value);
numNodes++;
if(value.dist < smallDist){
smallDist = value.dist;
}
}
catch(exception& e) {
m->errorOut(e, "SparseMatrix", "addCell");
exit(1);
}
}
/***********************************************************************/
void SparseMatrix::clear(){
try {
matrix.clear();
mins.clear();
numNodes = 0;
minsIndex = 0;
smallDist = 1e6;
}
catch(exception& e) {
m->errorOut(e, "SparseMatrix", "clear");
exit(1);
}
}
/***********************************************************************/
MatData SparseMatrix::begin(){
return matrix.begin();
}
/***********************************************************************/
MatData SparseMatrix::end(){
return matrix.end();
}
/***********************************************************************/
void SparseMatrix::print(){
try {
int index = 0;
cout << endl << "Index\tRow\tColumn\tDistance" << endl;
for(MatData currentCell=matrix.begin();currentCell!=matrix.end();currentCell++){
cout << index << '\t' << currentCell->row << '\t' << currentCell->column << '\t' << currentCell->dist << endl;
index++;
}
}
catch(exception& e) {
m->errorOut(e, "SparseMatrix", "print");
exit(1);
}
}
/***********************************************************************/
void SparseMatrix::print(ListVector* list){
try {
int index = 0;
m->mothurOutEndLine(); m->mothurOut("Index\tRow\tColumn\tDistance"); m->mothurOutEndLine();
for(MatData currentCell=matrix.begin();currentCell!=matrix.end();currentCell++){
m->mothurOut(toString(index) + "\t" + toString(list->get(currentCell->row)) + "\t" + toString(list->get(currentCell->column)) + "\t" + toString(currentCell->dist)); m->mothurOutEndLine();
index++;
}
}
catch(exception& e) {
m->errorOut(e, "SparseMatrix", "print");
exit(1);
}
}
/***********************************************************************/
PCell* SparseMatrix::getSmallestCell(){
try {
// this is where I check to see if the next small distance has the correct distance
// if it doesn't then I remove the offending Cell -> should also be able to check for
// invalid iterator / pointer -- right???
while(!mins.empty() && mins.back() == NULL){
mins.pop_back();
}
// if the mins vector is empty go here...
if(mins.empty()){
mins.clear();
smallDist = begin()->dist; //set the first candidate small distance
for(MatData currentCell=begin();currentCell!=end();currentCell++){
float dist = currentCell->dist;
if(dist < smallDist){ //found a new smallest distance
mins.clear();
smallDist = dist;
mins.push_back(&*currentCell); //this is the address of the data in the list being pointed to by the MatData iterator
}
else if(dist == smallDist){ //if a subsequent distance is the same as mins distance add the new iterator to the mins vector
mins.push_back(&*currentCell); //this is the address of the data in the list being pointed to by the MatData iterator
}
}
random_shuffle(mins.begin(), mins.end()); //randomize the order of the iterators in the mins vector
for(int i=0;i<mins.size();i++){
mins[i]->vectorMap = &mins[i]; //assign vectorMap to the address for the container
}
}
smallCell = mins.back(); //make the smallestCell the last element of the vector
mins.pop_back(); //remove the last element from the vector
return smallCell;
}
catch(exception& e) {
m->errorOut(e, "SparseMatrix", "getSmallestCell");
exit(1);
}
}
/***********************************************************************/
|