bool KawigiEdit_RunTest(int testNum, vector <int> p0, vector <int> p1, vector <int> p2, int p3, bool hasAnswer, double p4) {
cout << "Test " << testNum << ": [" << "{";
for (int i = 0; int(p0.size()) > i; ++i) {
if (i > 0) {
cout << ",";
}
cout << p0[i];
}
cout << "}" << "," << "{";
for (int i = 0; int(p1.size()) > i; ++i) {
if (i > 0) {
cout << ",";
}
cout << p1[i];
}
cout << "}" << "," << "{";
for (int i = 0; int(p2.size()) > i; ++i) {
if (i > 0) {
cout << ",";
}
cout << p2[i];
}
cout << "}" << "," << p3;
cout << "]" << endl;
RadioRange *obj;
double answer;
obj = new RadioRange();
clock_t startTime = clock();
answer = obj->RadiusProbability(p0, p1, p2, p3);
clock_t endTime = clock();
delete obj;
bool res;
res = true;
cout << "Time: " << double(endTime - startTime) / CLOCKS_PER_SEC << " seconds" << endl;
if (hasAnswer) {
cout << "Desired answer:" << endl;
cout << "\t" << p4 << endl;
}
cout << "Your answer:" << endl;
cout << "\t" << answer << endl;
if (hasAnswer) {
res = answer == answer && fabs(p4 - answer) <= 1e-9 * max(1.0, fabs(p4));
}
if (!res) {
cout << "DOESN'T MATCH!!!!" << endl;
} else if (double(endTime - startTime) / CLOCKS_PER_SEC >= 2) {
cout << "FAIL the timeout" << endl;
res = false;
} else if (hasAnswer) {
cout << "Match :-)" << endl;
} else {
cout << "OK, but is it right?" << endl;
}
cout << "" << endl;
return res;
}
// BEGIN CUT HERE
void main( int argc, char* argv[] ) {
{
int XARRAY[] = {0};
vector <int> X( XARRAY, XARRAY+ARRSIZE(XARRAY) );
int YARRAY[] = {0};
vector <int> Y( YARRAY, YARRAY+ARRSIZE(YARRAY) );
int RARRAY[] = {5};
vector <int> R( RARRAY, RARRAY+ARRSIZE(RARRAY) );
RadioRange theObject;
eq(0, theObject.RadiusProbability(X, Y, R, 10),0.5);
}
{
int XARRAY[] = {0};
vector <int> X( XARRAY, XARRAY+ARRSIZE(XARRAY) );
int YARRAY[] = {0};
vector <int> Y( YARRAY, YARRAY+ARRSIZE(YARRAY) );
int RARRAY[] = {10};
vector <int> R( RARRAY, RARRAY+ARRSIZE(RARRAY) );
RadioRange theObject;
eq(1, theObject.RadiusProbability(X, Y, R, 10),0.0);
}
{
int XARRAY[] = {10};
vector <int> X( XARRAY, XARRAY+ARRSIZE(XARRAY) );
int YARRAY[] = {10};
vector <int> Y( YARRAY, YARRAY+ARRSIZE(YARRAY) );
int RARRAY[] = {10};
vector <int> R( RARRAY, RARRAY+ARRSIZE(RARRAY) );
RadioRange theObject;
eq(2, theObject.RadiusProbability(X, Y, R, 10),0.4142135623730951);
}
{
int XARRAY[] = {11, -11, 0, 0};
vector <int> X( XARRAY, XARRAY+ARRSIZE(XARRAY) );
int YARRAY[] = {0, 0, 11, -11};
vector <int> Y( YARRAY, YARRAY+ARRSIZE(YARRAY) );
int RARRAY[] = {10, 10, 10, 10};
vector <int> R( RARRAY, RARRAY+ARRSIZE(RARRAY) );
RadioRange theObject;
eq(3, theObject.RadiusProbability(X, Y, R, 31),0.3548387096774194);
}
{
int XARRAY[] = {100};
vector <int> X( XARRAY, XARRAY+ARRSIZE(XARRAY) );
int YARRAY[] = {100};
vector <int> Y( YARRAY, YARRAY+ARRSIZE(YARRAY) );
int RARRAY[] = {1};
vector <int> R( RARRAY, RARRAY+ARRSIZE(RARRAY) );
RadioRange theObject;
eq(4, theObject.RadiusProbability(X, Y, R, 10),1.0);
}
{
int XARRAY[] = {1000000000};
vector <int> X( XARRAY, XARRAY+ARRSIZE(XARRAY) );
int YARRAY[] = {1000000000};
vector <int> Y( YARRAY, YARRAY+ARRSIZE(YARRAY) );
int RARRAY[] = {1000000000};
vector <int> R( RARRAY, RARRAY+ARRSIZE(RARRAY) );
RadioRange theObject;
eq(5, theObject.RadiusProbability(X, Y, R, 1000000000),0.41421356237309503);
}
{
int XARRAY[] = {20, -20, 0, 0};
vector <int> X( XARRAY, XARRAY+ARRSIZE(XARRAY) );
int YARRAY[] = {0, 0, 20, -20};
vector <int> Y( YARRAY, YARRAY+ARRSIZE(YARRAY) );
int RARRAY[] = {50, 50, 50, 50};
vector <int> R( RARRAY, RARRAY+ARRSIZE(RARRAY) );
RadioRange theObject;
eq(6, theObject.RadiusProbability(X, Y, R, 100),0.3);
}
{
int XARRAY[] = {0, -60, -62, -60, 63, -97};
vector <int> X( XARRAY, XARRAY+ARRSIZE(XARRAY) );
int YARRAY[] = {-72, 67, 61, -8, -32, 89};
vector <int> Y( YARRAY, YARRAY+ARRSIZE(YARRAY) );
int RARRAY[] = {6, 7, 8, 7, 5, 6};
vector <int> R( RARRAY, RARRAY+ARRSIZE(RARRAY) );
RadioRange theObject;
eq(7, theObject.RadiusProbability(X, Y, R, 918),0.9407071068962471);
}
}
