static
bool
build_url(const string &line) // line from the input file
{
try {
oodles::url::URL url(line);
cout << "Tokenised URL: " << url << endl;
cout << "Domain, Path and Page document IDs: "
<< url.domain_id() << ", "
<< url.path_id() << ", "
<< url.page_id() << endl;
cout << "Testing iterator access...";
if (find(url.begin(), url.end(), "http") != url.end())
cout << "(http scheme), ";
if (find(url.begin(), url.end(), "index.html") != url.end())
cout << "(.html index page), ";
if (count(url.begin(), url.end(), "www") > 0)
cout << "(www host).";
cout << endl;
cout << "Testing bidirectional iteratation...";
for (oodles::url::URL::iterator i = url.end() ; i != url.begin() ; )
cout << *(--i) << ",";
cout << endl << endl;
} catch (const exception &e) {
cerr << e.what();
return false;
}
return true;
}
int main (int argc, char* argv[])
{
ifstream input_file(argv[1]);
string line;
if (input_file)
{
while (getline(input_file, line))
{
vector<string> entries = tokenize(line);
vector<int> dots;
for (int i = 0; i < entries.size(); ++i)
{
string entry = entries[i];
// special case for failure on CodeEval's end
if (entry == "XYYYY.Y")
entry = "XYYYYYY";
dots.push_back(count(entry.begin(), entry.end(), '.'));
}
cout << dots[distance(dots.begin(), min_element(dots.begin(), dots.end()))] << endl;
}
input_file.close();
}
return 0;
}
int main(){
int trialNum ;
cout << "Trial number: " ;
cin >> trialNum ;
// Initialising graph parameters *****************************************************************
// Load vertex locations from txt file
cout << "Reading vertices from file..." ;
ifstream verticesFile("test_config/vertices0.txt") ;
vector<XY> vertices ;
vector<double> v(2) ;
string line ;
while (getline(verticesFile,line))
{
stringstream lineStream(line) ;
string cell ;
int i = 0 ;
while (getline(lineStream,cell,','))
{
v[i++] = atof(cell.c_str()) ;
}
vertices.push_back(XY(v[0],v[1])) ;
}
cout << "complete.\n" ;
// Load edge connections from txt file
cout << "Reading edges from file..." ;
ifstream edgesFile("test_config/edges0.txt") ;
vector<edge> edges ;
vector<long int> e ;
while (getline(edgesFile,line))
{
stringstream lineStream(line) ;
string cell ;
e.clear() ;
while (getline(lineStream,cell,','))
e.push_back(atol(cell.c_str())) ;
edge temp(e[0],e[1]) ;
edges.push_back(temp) ;
}
cout << "complete.\n" ;
// Randomly generate edge cost distributions
cout << "Generating edge cost distribution parameter values..." ;
// Write to txt file
stringstream cdFileName ;
cdFileName << "test_config/cost_distributions" << trialNum << ".txt" ;
ofstream costsFile ;
costsFile.open(cdFileName.str().c_str()) ;
unsigned seed = std::chrono::system_clock::now().time_since_epoch().count();
default_random_engine generator(seed);
std::uniform_real_distribution<double> mean_distribution(0.0,100.0);
std::uniform_real_distribution<double> std_distribution(0.0,10.0);
vector< vector<double> > cost_distributions ;
for (ULONG i = 0; i < edges.size(); i++){
vector<double> cost ;
double diffx = vertices[edges[i].first].x - vertices[edges[i].second].x ;
double diffy = vertices[edges[i].first].y - vertices[edges[i].second].y ;
double dist = sqrt(pow(diffx,2)+pow(diffy,2)) ;
bool repeat = true ;
while (repeat){
cost.clear() ;
cost.push_back(mean_distribution(generator)) ;
cost.push_back(std_distribution(generator)) ;
if (cost[1] < cost[0]){ // do not allow std > mean
repeat = false ;
cost[0] += dist ;
}
}
cost_distributions.push_back(cost) ;
costsFile << cost[0] << "," << cost[1] << "\n" ;
}
costsFile.close() ;
cout << "complete.\n" ;
// END: Initialising graph parameters ************************************************************
// Writing configuration to file *****************************************************************
// Write true edge costs to file
stringstream tcFileName ;
tcFileName << "test_config/true_costs" << trialNum << ".txt" ;
ofstream trueCostsFile ;
trueCostsFile.open(tcFileName.str().c_str()) ;
// Query for true edge costs and write to txt file
vector<double> true_costs ;
for (ULONG i = 0; i < edges.size(); i++){
normal_distribution<double> distribution(cost_distributions[i][0], cost_distributions[i][1]) ;
double c ;
while (true){
c = distribution(generator) ;
if (c > 0) // do not allow negative costs
break ;
}
true_costs.push_back(c) ;
trueCostsFile << true_costs[i] << "\n" ;
}
trueCostsFile << "\n" ;
trueCostsFile.close() ;
// END: Writing configuration to file ************************************************************
// Define planning task
// XY start = vertices[3] ; // with UTM graph: vertices.txt, edges.txt
// XY goal = vertices[14] ; // with UTM graph: vertices.txt, edges.txt
XY start = vertices[0] ; // with random 100 graph: vertices0.txt, edges0.txt
XY goal = vertices[99] ; // with random 100 graph: vertices0.txt, edges0.txt
// RAGS planner **********************************************************************************
cout << "***** RAGS planner *****\n" ;
// Create RAGS object
RAGS * testRAGS = new RAGS(vertices, edges, cost_distributions) ;
// Write true path costs to file
stringstream pcRAGSFileName ;
pcRAGSFileName << "test_config/path_cost_RAGS" << trialNum << ".txt" ;
ofstream RAGSPathCostFile ;
RAGSPathCostFile.open(pcRAGSFileName.str().c_str()) ;
// Initialise current location
XY curLoc = start ;
// Execute RAGS path
double cumulativeCost = 0 ;
clock_t t_start = clock() ;
while (true){
cout << "Current location: (" << curLoc.x << "," << curLoc.y << ")..." ;
cout << "ND-set size: " << testRAGS->GetNDSetSize() << "..." ;
if (curLoc == goal){ // Exit loop if goal is reached
cout << "Goal reached!\n" ;
break ;
}
// Execute RAGS transition
XY nextLoc = testRAGS->SearchGraph(curLoc,goal,true_costs) ;
// Log transition cost
int i = testRAGS->GetEdgeIndex(curLoc, nextLoc) ;
cumulativeCost += true_costs[i] ;
RAGSPathCostFile << true_costs[i] << "," << cumulativeCost << "\n" ;
cout << "transitioning to next location...\n" ;
curLoc = nextLoc ;
}
double rags_time = (double)(clock() - t_start)/CLOCKS_PER_SEC ; // log RAGS computation time
cout << "RAGS planning and execution time: " << rags_time << "s.\n" ;
delete testRAGS ;
RAGSPathCostFile.close() ;
// END: RAGS planner *****************************************************************************
// Greedy planner ********************************************************************************
cout << "***** Greedy planner *****\n" ;
// Create RAGS object
RAGS testGreedy(vertices, edges, cost_distributions) ;
// Write true path costs to file
stringstream pcGreedyFileName ;
pcGreedyFileName << "test_config/path_cost_Greedy" << trialNum << ".txt" ;
ofstream GreedyPathCostFile ;
GreedyPathCostFile.open(pcGreedyFileName.str().c_str()) ;
// Initialise current location
curLoc = start ;
// Execute greedy path
cumulativeCost = 0 ;
while (true){
cout << "Current location: (" << curLoc.x << "," << curLoc.y << ")..." ;
cout << "ND-set size: " << testGreedy.GetNDSetSize() << "..." ;
if (curLoc == goal){ // Exit loop if goal is reached
cout << "Goal reached!\n" ;
break ;
}
// Execute greedy transition
XY nextLoc = testGreedy.SearchGraphGreedy(curLoc,goal,true_costs) ;
// Log transition cost
int i = testGreedy.GetEdgeIndex(curLoc, nextLoc) ;
cumulativeCost += true_costs[i] ;
GreedyPathCostFile << true_costs[i] << "," << cumulativeCost << "\n" ;
cout << "transitioning to next location...\n" ;
curLoc = nextLoc ;
}
GreedyPathCostFile.close() ;
// END: Greedy planner ***************************************************************************
// Astar planner *********************************************************************************
cout << "***** A* planner *****\n" ;
// For A* search
vector< vector<double> > Astar_costs = cost_distributions ;
for (ULONG i = 0; i < Astar_costs.size(); i++)
Astar_costs[i][1] = 0.0 ; // variance not considered in Astar planner
// Create RAGS object
pathOut pOut = BEST ;
RAGS testAstar(vertices, edges, Astar_costs, pOut) ;
// Write true path costs to file
stringstream pcAstarFileName ;
pcAstarFileName << "test_config/path_cost_Astar" << trialNum << ".txt" ;
ofstream AstarPathCostFile ;
AstarPathCostFile.open(pcAstarFileName.str().c_str()) ;
// Reset current location
curLoc = start ;
// Execute A* path
cumulativeCost = 0 ;
while (true){
cout << "Current location: (" << curLoc.x << "," << curLoc.y << ")..." ;
if (curLoc == goal){ // Exit loop if goal is reached
cout << "Goal reached!\n" ;
break ;
}
// Execute A* transition
XY nextLoc = testAstar.SearchGraph(curLoc,goal,true_costs) ;
// Log transition cost
int i = testAstar.GetEdgeIndex(curLoc, nextLoc) ;
cumulativeCost += true_costs[i] ;
AstarPathCostFile << true_costs[i] << "," << cumulativeCost << "\n" ;
cout << "transitioning to next location...\n" ;
curLoc = nextLoc ;
}
AstarPathCostFile.close() ;
// END: Astar planner ****************************************************************************
// Sampled Astar planner *************************************************************************
cout << "***** Sampled A* planner *****\n" ;
// Write true path costs to file
stringstream pcSampledAstarFileName ;
pcSampledAstarFileName << "test_config/path_cost_SampledAstar" << trialNum << ".txt" ;
ofstream SampledAstarPathCostFile ;
SampledAstarPathCostFile.open(pcSampledAstarFileName.str().c_str()) ;
// Manage sampling time
t_start = clock() ; // reset clock timer
double t_elapse = 0.0 ;
// Log sampled paths
vector< vector<XY> > sampledPaths ;
int k = 0 ;
while (t_elapse <= rags_time){
// Sample edge costs
vector< vector<double> > sampled_costs_with_std ;
vector<double> sampled_costs ;
for (ULONG i = 0; i < edges.size(); i++){
vector<double> cc ;
normal_distribution<double> distribution(cost_distributions[i][0], cost_distributions[i][1]) ;
double c ;
while (true){
c = distribution(generator) ;
if (c > 0)
break ;
}
sampled_costs.push_back(c) ;
cc.push_back(c) ;
cc.push_back(0.0) ;
sampled_costs_with_std.push_back(cc) ; // for RAGS object initialisation
}
// Create RAGS object
RAGS sampledAstar(vertices, edges, sampled_costs_with_std, pOut) ;
// Reset current location
curLoc = start ;
// Log current path
vector<XY> curPath ;
// Execute sampled A* path
while (true){
curPath.push_back(curLoc) ;
if (curLoc == goal)
break ;
// Execute A* transition
XY nextLoc = sampledAstar.SearchGraph(curLoc,goal,sampled_costs) ;
curLoc = nextLoc ;
}
sampledPaths.push_back(curPath) ;
t_elapse = (double)(clock() - t_start)/CLOCKS_PER_SEC ;
k++ ;
}
// Compute most frequent path
vector<int> path_set ;
int max_count = 0;
for(ULONG i = 0 ; i < sampledPaths.size(); i++){
int mycount = count(sampledPaths.begin(), sampledPaths.end(), sampledPaths[i]);
if(mycount > max_count){
path_set.clear() ;
path_set.push_back(i);
max_count = mycount;
}
else if (mycount == max_count){
path_set.push_back(i) ;
}
}
cout << "Most frequent path was traversed " << max_count
<< " times out of " << k << " total samplings.\n" ;
// If multiple paths are sampled the same number of times, pick a random path from the subset
int path ;
if (path_set.size() > 1)
path = path_set[rand() % path_set.size()] ;
else
path = path_set[0] ;
// Execute sampled A* path
cumulativeCost = 0 ;
for (ULONG i = 0; i < sampledPaths[path].size(); i++){
curLoc = sampledPaths[path][i] ;
XY nextLoc ;
cout << "Current location: (" << curLoc.x << "," << curLoc.y << ")..." ;
if (curLoc == goal)
cout << "Goal reached!\n" ;
else {
nextLoc = sampledPaths[path][i+1] ;
if (i == sampledPaths[path].size()-1)
cout << "nextLoc: (" << nextLoc.x << "," << nextLoc.y << ")\n" ;
int j = testAstar.GetEdgeIndex(curLoc, nextLoc) ; // borrow A* RAGS object for edge indices
cumulativeCost += true_costs[j] ;
SampledAstarPathCostFile << true_costs[j] << "," << cumulativeCost << "\n" ;
cout << "transitioning to next location...\n" ;
curLoc = nextLoc ;
}
}
SampledAstarPathCostFile.close() ;
// END: Sampled Astar planner ********************************************************************
// Hindsight optimal plan ************************************************************************
cout << "***** Hindsight optimal plan *****\n" ;
// For A* search
vector< vector<double> > true_costs_with_std ;
for (ULONG i = 0; i < true_costs.size(); i++){
vector<double> c ;
c.push_back(true_costs[i]) ;
c.push_back(0.0) ; // variance not considered in Astar planner
true_costs_with_std.push_back(c) ;
}
// Create RAGS object
RAGS testOptimal(vertices, edges, true_costs_with_std, pOut) ;
// Write true path costs to file
stringstream optimalFileName ;
optimalFileName << "test_config/path_cost_Optimal" << trialNum << ".txt" ;
ofstream optimalPathCostFile ;
optimalPathCostFile.open(optimalFileName.str().c_str()) ;
// Reset current location
curLoc = start ;
// Execute hindsight optimal path
cumulativeCost = 0 ;
while (true){
cout << "Current location: (" << curLoc.x << "," << curLoc.y << ")..." ;
if (curLoc == goal){ // Exit loop if goal is reached
cout << "Goal reached!\n" ;
break ;
}
// Execute A* transition
XY nextLoc = testOptimal.SearchGraph(curLoc,goal,true_costs) ;
// Log transition cost
int i = testOptimal.GetEdgeIndex(curLoc, nextLoc) ;
cumulativeCost += true_costs[i] ;
optimalPathCostFile << true_costs[i] << "," << cumulativeCost << "\n" ;
cout << "transitioning to next location...\n" ;
curLoc = nextLoc ;
}
optimalPathCostFile.close() ;
// END: Hindsight optimal plan *******************************************************************
return 0 ;
}
int main()
{
vector<int> v = {1,2,3,4,5,6,6,3,6,3};
cout << count(v.cbegin(), v.cend(), 6) << endl;
}
/**
Imports a tab-delimited file into the existing data.
This functions produces a matrix of the input, strips and the row and
column names and then splits the matrix into continuous and discrete
components. Assume imported data is rows of species names followed by tab
seperated data. Alll columns must be the same length. Parsing stops at the
first blank line.
*/
void TabDataReader::read ()
{
// configure scanner
sbl::StreamScanner theScanner (mInStream);
theScanner.SetComments ("", "");
theScanner.SetLineComment ("#");
// just check this is a a tab delimited file
string theInLine;
theScanner.ReadLine (theInLine);
theScanner.Rewind(); // roll back to beginning
if (count (theInLine.begin(), theInLine.end(), '\t') < 1)
throw FormatError ("this isn't a tab-delimited file");
// now we can actually read the file
// while the eof has not been reached
while (theScanner)
{
string theCurrLine;
theScanner.ReadLine (theCurrLine);
sbl::eraseTrailingSpace (theCurrLine);
// stop at blank lines.
if (theCurrLine == "")
break;
// otherwise break into tokens
stringvec_t theDataRow;
back_insert_iterator<stringvec_t> theSplitIter (theDataRow);
split (theCurrLine, theSplitIter, '\t');
// clean up the tokens
for (stringvec_t::size_type i = 0; i < theDataRow.size(); i++)
{
sbl::eraseFlankingSpace (theDataRow[i]);
}
// pop the row into the matrix
mDataMatrix.push_back (theDataRow);
}
// clean up & check correctness of data ...
// 1. matrix contains data
// 2. species names and at least 1 column of data given
// 3. all rows the same length
// 4. no null entries
if (mDataMatrix.size() == 0)
throw FormatError ("imported data matrix is empty");
if (mDataMatrix[0].size() < 2)
throw FormatError ("imported data missing species names or data");
// set the correct type of data
extractColNames ();
extractRowNames();
extractFormat ();
// report progress
int theNumTaxa = mDataMatrix.size();
int theNumContTraits = mContColNames.size();
int theNumDiscTraits = mDiscColNames.size();
bool theSingleRow = (theNumTaxa == 1);
stringstream theBuffer;
theBuffer << "There " << (theSingleRow ? "is" : "are") << " " <<
theNumTaxa << " " << (theSingleRow ? "taxon" : "taxa") <<
" with " << theNumContTraits << " continuous " <<
((theNumContTraits == 1)? "trait": "traits") << " and " <<
theNumDiscTraits << " discrete " <<
((theNumDiscTraits == 1)? "trait": "traits") <<
" in the import data.";
string theTmpString = theBuffer.str();
mProgressCb (kMsg_Progress, theTmpString.c_str());
}
pcln("use Functor"); // 10 9 8 7 6
for_each(con.rbegin(), con.rbegin() + ( con.rend() - con.rbegin() ) / 2,
PrintFunctor<int>());
cr;
END_TEST;
BEGIN_TEST(NonModifyingAlgorithm, Count, @);
vector<int> con;
insertElements(con, 1, 10);
printContainer(con, "con: "); // con: 1 2 3 4 5 6 7 8 9 10
int numOf1 = count(con.begin(), con.end(), 1);
psln(numOf1);
EXPECT_EQ(1, numOf1); // one 1.
con.push_back(1);
con.push_back(1);
printContainer(con, "con: "); // con: 1 2 3 4 5 6 7 8 9 10 1 1
numOf1 = count(con.begin(), con.end(), 1);
psln(numOf1);
EXPECT_EQ(3, numOf1); // three 1.
using std::count_if;
int numOfEven = count_if(con.begin(), con.end(),
[](int elem) -> bool {
return ( elem % 2 == 0 ); // 2 4 6 8 10 -> five even.
});
psln(numOfEven);
bool GenReg::knownGenOption (const std::string &opt)
{
// Looking for normalized option name
return g_opts->count(util::toCmdLineParam(opt));
}
