static void op_O_get(const void *NOTUSED(data), scene_state_t *ss,
exec_state_t *NOTUSED(es), command_state_t *cs) {
int16_t min = ss->variables.o_min;
int16_t max = ss->variables.o_max;
int16_t wrap = ss->variables.o_wrap;
// restrict current_value to (wrapped) bounds
int16_t current_value = normalise_value(min, max, wrap, ss->variables.o);
cs_push(cs, current_value);
// calculate new value
ss->variables.o =
normalise_value(min, max, wrap, current_value + ss->variables.o_inc);
}
static void op_DRUNK_get(const void *NOTUSED(data), scene_state_t *ss,
exec_state_t *NOTUSED(es), command_state_t *cs) {
int16_t min = ss->variables.drunk_min;
int16_t max = ss->variables.drunk_max;
int16_t wrap = ss->variables.drunk_wrap;
// restrict current_value to (wrapped) bounds
int16_t current_value =
normalise_value(min, max, wrap, ss->variables.drunk);
cs_push(cs, current_value);
// calculate new value
int16_t new_value = current_value + (rand() % 3) - 1;
ss->variables.drunk = normalise_value(min, max, wrap, new_value);
}
void normalise_dataset(Dataset* dataset, double* minima, double* maxima){
for (size_t d = 0; d < dataset->dimensionality; d++) {
for (size_t i = 0; i < dataset->size; i++) {
dataset->points[i]->position->scalars[d] = normalise_value(dataset->points[i]->position->scalars[d], MIN_VALUES[d], MAX_VALUES[d]);
}
}
}
