Hi, I noticed the call to the scoring function in path_finder_find_step reverses the col and row arguments.
path_finder->f_score[n] = path_finder->f_score[n] + path_finder->score_func(path_finder, n / path_finder->cols, n % path_finder->cols, data);
Looks like it should be:
path_finder->f_score[n] = path_finder->f_score[n] + path_finder->score_func(path_finder, n % path_finder->cols, n / path_finder->cols, data);
Just switching the modulus and division.
As a sidenote, great work, I find your code really clean and simple and have been trying to model mine after it since using your library.
Hi, I noticed the call to the scoring function in path_finder_find_step reverses the col and row arguments.
path_finder->f_score[n] = path_finder->f_score[n] + path_finder->score_func(path_finder, n / path_finder->cols, n % path_finder->cols, data);Looks like it should be:
path_finder->f_score[n] = path_finder->f_score[n] + path_finder->score_func(path_finder, n % path_finder->cols, n / path_finder->cols, data);Just switching the modulus and division.
As a sidenote, great work, I find your code really clean and simple and have been trying to model mine after it since using your library.