/**
* Function Name;
* intInRange()
* intInRange() returns true if the target is within bound1 and bound2 (inclusivity can be checked if
* LOWER_INCLUSIVE or UPPER_INCLUSIVE are included in the flags argument)
*/
int intInRange(int target, int bound1, int bound2, int flags) {
int lowerBound = intMin(bound1, bound2);
int upperBound = intMax(bound1, bound2);
int result = ((target > lowerBound && target < upperBound) || (target == lowerBound && (flags & LOWER_INCLUSIVE)) ||
(target == upperBound && (flags & UPPER_INCLUSIVE)));
/*
if (DEBUG) {
char *intervalChars = "([)]";
char *booleanStrings[] = {"false", "true"};
char openIntervalChar = intervalChars[(flags & LOWER_INCLUSIVE) != 0];
char closeIntervalChar = intervalChars[((flags & UPPER_INCLUSIVE) != 0) + 2];
printf("%d in %c%d %d%c : %s\n", target, openIntervalChar, lowerBound, upperBound, closeIntervalChar,
booleanStrings[result]);
}
*/
return result;
}
int SimulationResults_filterSimulationResults(const char *inFile, const char *outFile, void *vars, int numberOfIntervals)
{
const char *msg[5] = {"","","","",""};
void *tmp;
if (UNKNOWN_PLOT == SimulationResultsImpl__openFile(inFile, &simresglob)) {
return 0;
}
vars = mmc_mk_cons(mmc_mk_scon("time"),vars);
switch (simresglob.curFormat) {
case MATLAB4: {
int numToFilter = listLength(vars);
int i, j;
int numUnique = 0;
int numUniqueParam = 1;
int longestName = 0;
int longestDesc = 0;
ModelicaMatVariable_t **mat_var = omc_alloc_interface.malloc(numToFilter*sizeof(ModelicaMatVariable_t*));
int *indexes = (int*) omc_alloc_interface.malloc(simresglob.matReader.nvar*sizeof(int)); /* Need it to be zeros; note that the actual number of indexes is smaller */
int *parameter_indexes = (int*) omc_alloc_interface.malloc(simresglob.matReader.nparam*sizeof(int)); /* Need it to be zeros; note that the actual number of indexes is smaller */
int *indexesToOutput = NULL;
int *parameter_indexesToOutput = NULL;
FILE *fout = NULL;
char *tmp;
double start_stop[2] = {0};
double start = omc_matlab4_startTime(&simresglob.matReader);
double stop = omc_matlab4_stopTime(&simresglob.matReader);
parameter_indexes[0] = 1; /* time */
omc_matlab4_read_all_vals(&simresglob.matReader);
if (endsWith(outFile,".csv")) {
double **vals = omc_alloc_interface.malloc(sizeof(double*)*numToFilter);
FILE *fout = NULL;
for (i=0; i<numToFilter; i++) {
const char *var = MMC_STRINGDATA(MMC_CAR(vars));
vars = MMC_CDR(vars);
mat_var[i] = omc_matlab4_find_var(&simresglob.matReader, var);
if (mat_var[i] == NULL) {
msg[0] = SystemImpl__basename(inFile);
msg[1] = var;
c_add_message(NULL,-1, ErrorType_scripting, ErrorLevel_error, gettext("Could not read variable %s in file %s."), msg, 2);
return 0;
}
if (mat_var[i]->isParam) {
msg[0] = var;
c_add_message(NULL,-1, ErrorType_scripting, ErrorLevel_error, gettext("Could not filter parameter %s since the output format is CSV (only variables are allowed)."), msg, 1);
return 0;
} else {
vals[i] = omc_matlab4_read_vals(&simresglob.matReader, mat_var[i]->index);
}
}
fout = fopen(outFile, "w");
fprintf(fout, "time");
for (i=1; i<numToFilter; i++) {
fprintf(fout, ",\"%s\"", mat_var[i]->name);
}
fprintf(fout, ",nrows=%d\n", simresglob.matReader.nrows);
for (i=0; i<simresglob.matReader.nrows; i++) {
fprintf(fout, "%.15g", vals[0][i]);
for (j=1; j<numToFilter; j++) {
fprintf(fout, ",%.15g", vals[j][i]);
}
fprintf(fout, "\n");
}
fclose(fout);
return 1;
} /* Not CSV */
for (i=0; i<numToFilter; i++) {
const char *var = MMC_STRINGDATA(MMC_CAR(vars));
vars = MMC_CDR(vars);
mat_var[i] = omc_matlab4_find_var(&simresglob.matReader,var);
if (mat_var[i] == NULL) {
msg[0] = SystemImpl__basename(inFile);
msg[1] = var;
c_add_message(NULL,-1, ErrorType_scripting, ErrorLevel_error, gettext("Could not read variable %s in file %s."), msg, 2);
return 0;
}
if (mat_var[i]->isParam) {
/* Store the old index in the array */
if (0==parameter_indexes[abs(mat_var[i]->index)-1]++) {
numUniqueParam++;
}
} else {
/* Store the old index in the array */
if (0==indexes[abs(mat_var[i]->index)-1]++) {
numUnique++;
}
}
longestName = intMax(longestName, strlen(mat_var[i]->name));
longestDesc = intMax(longestDesc, strlen(mat_var[i]->descr));
}
/* Create the list of variable indexes to output */
indexesToOutput = omc_alloc_interface.malloc_atomic(numUnique * sizeof(int));
parameter_indexesToOutput = omc_alloc_interface.malloc_atomic(numUniqueParam * sizeof(int));
j=0;
for (i=0; i<simresglob.matReader.nvar; i++) {
if (indexes[i]) {
indexesToOutput[j++] = i+1;
}
/* indexes becomes the lookup table from old index to new index */
indexes[i] = j;
}
j=0;
for (i=0; i<simresglob.matReader.nparam; i++) {
if (parameter_indexes[i]) {
parameter_indexesToOutput[j++] = i+1;
}
/* indexes becomes the lookup table from old index to new index */
parameter_indexes[i] = j;
}
fout = fopen(outFile, "wb");
if (fout == NULL) {
return failedToWriteToFile(outFile);
}
/* Matrix list: "Aclass" "name" "description" "dataInfo" "data_1" "data_2" */
if (writeMatVer4AclassNormal(fout)) {
return failedToWriteToFile(outFile);
}
if (writeMatVer4MatrixHeader(fout, "name", numToFilter, longestName, sizeof(int8_t))) {
return failedToWriteToFile(outFile);
}
tmp = omc_alloc_interface.malloc(numToFilter*longestName);
for (i=0; i<numToFilter; i++) {
int len = strlen(mat_var[i]->name);
for (j=0; j<len; j++) {
tmp[numToFilter*j+i] = mat_var[i]->name[j];
}
}
if (1 != fwrite(tmp, numToFilter*longestName, 1, fout)) {
return failedToWriteToFile(outFile);
}
GC_free(tmp);
if (writeMatVer4MatrixHeader(fout, "description", numToFilter, longestDesc, sizeof(int8_t))) {
return failedToWriteToFile(outFile);
}
tmp = omc_alloc_interface.malloc(numToFilter*longestDesc);
for (i=0; i<numToFilter; i++) {
int len = strlen(mat_var[i]->descr);
for (j=0; j<len; j++) {
tmp[numToFilter*j+i] = mat_var[i]->descr[j];
}
}
if (1 != fwrite(tmp, numToFilter*longestDesc, 1, fout)) {
return failedToWriteToFile(outFile);
}
GC_free(tmp);
if (writeMatVer4MatrixHeader(fout, "dataInfo", numToFilter, 4, sizeof(int32_t))) {
return failedToWriteToFile(outFile);
}
for (i=0; i<numToFilter; i++) {
int32_t x = mat_var[i]->isParam ? 1 : 2; /* data_1 or data_2 */
if (1 != fwrite(&x, sizeof(int32_t), 1, fout)) {
return failedToWriteToFile(outFile);
}
}
for (i=0; i<numToFilter; i++) {
int32_t x = (mat_var[i]->index < 0 ? -1 : 1) * (mat_var[i]->isParam ? parameter_indexes[abs(mat_var[i]->index)-1] : indexes[abs(mat_var[i]->index)-1]);
if (1 != fwrite(&x, sizeof(int32_t), 1, fout)) {
return failedToWriteToFile(outFile);
}
}
for (i=0; i<numToFilter; i++) {
int32_t x = 0; /* linear interpolation */
if (1 != fwrite(&x, sizeof(int32_t), 1, fout)) {
return failedToWriteToFile(outFile);
}
}
for (i=0; i<numToFilter; i++) {
int32_t x = -1; /* not defined outside the time interval */
if (1 != fwrite(&x, sizeof(int32_t), 1, fout)) {
return failedToWriteToFile(outFile);
}
}
if (writeMatVer4MatrixHeader(fout, "data_1", 2, numUniqueParam, sizeof(double))) {
return failedToWriteToFile(outFile);
}
start = omc_matlab4_startTime(&simresglob.matReader);
stop = omc_matlab4_stopTime(&simresglob.matReader);
start_stop[0]=start;
start_stop[1]=stop;
if (1 != fwrite(start_stop, sizeof(double)*2, 1, fout)) {
return failedToWriteToFile(outFile);
}
for (i=1; i<numUniqueParam; i++) {
int paramIndex = parameter_indexesToOutput[i];
double d[2] = {simresglob.matReader.params[abs(paramIndex)-1],0};
d[1] = d[0];
if (1!=fwrite(d, sizeof(double)*2, 1, fout)) {
return failedToWriteToFile(outFile);
}
}
if (numberOfIntervals) {
double *timevals = omc_matlab4_read_vals(&simresglob.matReader, 1);
int last_found=0;
int nevents=0, neventpoints=0;
for (i=1; i<numberOfIntervals; i++) {
double t = start + (stop-start)*((double)i)/numberOfIntervals;
while (timevals[j]<=t) {
if (timevals[j]==timevals[j+1]) {
while (timevals[j]==timevals[j+1]) {
j++;
neventpoints++;
}
nevents++;
}
j++;
}
}
msg[4] = inFile;
GC_asprintf((char**)msg+3, "%d", simresglob.matReader.nrows);
GC_asprintf((char**)msg+2, "%d", numberOfIntervals);
GC_asprintf((char**)msg+1, "%d", nevents);
GC_asprintf((char**)msg+0, "%d", neventpoints);
c_add_message(NULL,-1, ErrorType_scripting, ErrorLevel_notification, gettext("Resampling %s from %s points to %s points, removing %s events stored in %s points.\n"), msg, 5);
}
if (writeMatVer4MatrixHeader(fout, "data_2", numberOfIntervals ? numberOfIntervals+1 : simresglob.matReader.nrows, numUnique, sizeof(double))) {
return failedToWriteToFile(outFile);
}
for (i=0; i<numUnique; i++) {
double *vals = NULL;
int nrows;
if (numberOfIntervals) {
omc_matlab4_read_all_vals(&simresglob.matReader);
nrows = numberOfIntervals+1;
vals = omc_alloc_interface.malloc_atomic(sizeof(double)*nrows);
for (j=0; j<=numberOfIntervals; j++) {
double t = j==numberOfIntervals ? stop : start + (stop-start)*((double)j)/numberOfIntervals;
ModelicaMatVariable_t var = {0};
var.name="";
var.descr="";
var.isParam=0;
var.index=indexesToOutput[i];
if (omc_matlab4_val(vals+j, &simresglob.matReader, &var, t)) {
msg[2] = inFile;
GC_asprintf((char**)msg+1, "%d", indexesToOutput[i]);
GC_asprintf((char**)msg+0, "%.15g", t);
c_add_message(NULL,-1, ErrorType_scripting, ErrorLevel_error, gettext("Resampling %s failed to get variable %s at time %s.\n"), msg, 3);
return 0;
}
}
} else {
vals = omc_matlab4_read_vals(&simresglob.matReader, indexesToOutput[i]);
nrows = simresglob.matReader.nrows;
}
if (1!=fwrite(vals, sizeof(double)*nrows, 1, fout)) {
return failedToWriteToFile(outFile);
}
if (numberOfIntervals) {
GC_free(vals);
}
}
fclose(fout);
return 1;
}
default:
msg[0] = PlotFormatStr[simresglob.curFormat];
c_add_message(NULL,-1, ErrorType_scripting, ErrorLevel_error, gettext("filterSimulationResults not implemented for plot format: %s\n"), msg, 1);
return 0;
}
}
/**
* Function Name:
* pgmDrawLine()
* pgmDrawLine() draws a straight line in the image by setting relavant pixels to Zero.
* In this function, you have to invoke a CUDA kernel to perform all image processing on GPU.
*
* @param[in,out] pixels holds all pixels in the pgm image, which a 2D integer array. The array
* are modified after the drawing.
* @param[in] numRows describes how many rows of pixels in the image.
* @param[in] numCols describes how many columns of pixels in one row in the image.
* @param[in] p1row specifies the row number of the start point of the line segment.
* @param[in] p1col specifies the column number of the start point of the line segment.
* @param[in] p2row specifies the row number of the end point of the line segment.
* @param[in] p2col specifies the column number of the end point of the line segment.
* @param[in,out] header returns the new header after draw.
* the function might change the maximum intensity value in the image, so we
* have to change the maximum intensity value in the header accordingly.
*
* @return return 1 if max intensity is changed by the drawing, otherwise return 0;
*/
int pgmDrawLine(int *pixels, int numRows, int numCols, char **header, int p1row, int p1col, int p2row, int p2col) {
if (pixels == NULL || header == NULL)
return 1;
int oldMaxIntens = 0;
int newMaxIntens = 0;
int i = 0;
sscanf(header[3], "%i", &oldMaxIntens);
// avoid a divide by zero error by not calculating the slope
if (p1col == p2col) {
if (!intInRange(p1col, 0, numCols, UPPER_INCLUSIVE | LOWER_INCLUSIVE))
return 0;
int startRow = intMin(p1row, p2row);
int endRow = intMax(p1row, p2row);
int curRow = startRow;
for (; curRow < endRow; ++curRow) {
// make sure this pixel is actually within the image
if (!intInRange(curRow, 0, numRows, UPPER_INCLUSIVE | LOWER_INCLUSIVE))
continue;
i = numRows * curRow + p1col;
pixels[i] = 0;
if (pixels[i] > newMaxIntens)
newMaxIntens = pixels[i];
}
}
else // we don't have a vertical line
{
int p1[2] = {0, 0};
int p2[2] = {0, 0};
if (p1col < p2col) {
p1[0] = p1row;
p1[1] = p1col;
p2[0] = p2row;
p2[1] = p2col;
}
else {
p1[0] = p2row;
p1[1] = p2col;
p2[0] = p1row;
p2[1] = p1col;
}
double slope = (p2[0] - p1[0]) / (p2[1] - p1[1]);
if(DEBUG)
printf("slope: %lf\n", slope);
int thisCol = p1[1];
for (; thisCol < numCols; ++thisCol) {
int relativeCol = thisCol - p1[1];
int thisRow = relativeCol * slope + p1[0];
// make sure this pixel is actually within the image
if (!intInRange(thisRow, 0, numRows - 1, UPPER_INCLUSIVE | LOWER_INCLUSIVE))
continue;
if (!intInRange(thisCol, 0, numCols - 1, UPPER_INCLUSIVE | LOWER_INCLUSIVE))
continue;
//if(DEBUG)
// printf("plot(%d, %d)\n", thisRow, thisCol);
i = numRows * thisRow + thisCol;
pixels[i] = 0;
if (pixels[i] > newMaxIntens)
newMaxIntens = pixels[i];
}
}
sprintf(header[3], "%i", newMaxIntens);
return (newMaxIntens == oldMaxIntens) ? 0 : 1;
}
void printSummary (char code[], int auRuns[], int oppRuns[], int innings[], int attend[], int numGames)
{
int arraySecAub[NUMSEC];
int arraySecOpp[NUMSEC];
int secGames = getSecGames(code, auRuns, numGames, arraySecAub);
int oppSecGames = getSecGames(code, oppRuns, numGames, arraySecOpp);
int count;
int extra[MAXGAMES];
printf(" 2015 AU Softball Summary\n");
printf(" #games Min Mean Max\n");
printf("Runs scored-all %2d %d %.1f %2d\n", numGames, intMin(auRuns, numGames), intMean(auRuns, numGames), intMax(auRuns, numGames));
printf("Runs allowed-all %d %.1f %2d\n", intMin(oppRuns, numGames), intMean(oppRuns, numGames), intMax(oppRuns, numGames));
printf("Runs scored-SEC %2d %d %.1f %2d\n", secGames, intMin(arraySecAub, secGames),intMean(arraySecAub, secGames), intMax(arraySecAub, secGames));
printf("Runs allowed-SEC %d %.1f %2d\n\n", intMin(arraySecOpp, secGames),intMean(arraySecOpp, oppSecGames), intMax(arraySecOpp, oppSecGames));
printf("Games with extra innings:\n");
for (count = 0; count < extraInnings(innings, numGames, extra); count++)
{
printf(" %d ", extra[count]);
}
}
