blob: d4f54effdfcbe3804423670a31de4b4b8d81b6d9 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
|
package cgeo.geocaching.filter;
import cgeo.geocaching.CgeoApplication;
import cgeo.geocaching.Geocache;
import cgeo.geocaching.R;
import java.util.ArrayList;
import java.util.List;
class PopularityFilter extends AbstractFilter {
private final int minFavorites;
private final int maxFavorites;
public PopularityFilter(String name, final int minFavorites, final int maxFavorites) {
super(name);
this.minFavorites = minFavorites;
this.maxFavorites = maxFavorites;
}
@Override
public boolean accepts(final Geocache cache) {
return (cache.getFavoritePoints() > minFavorites) && (cache.getFavoritePoints() <= maxFavorites);
}
public static class Factory implements IFilterFactory {
private static final int[] FAVORITES = { 10, 20, 50, 100, 200, 500 };
@Override
public List<IFilter> getFilters() {
final List<IFilter> filters = new ArrayList<IFilter>(FAVORITES.length);
for (int i = 0; i < FAVORITES.length; i++) {
final int minRange = FAVORITES[i];
final int maxRange = Integer.MAX_VALUE;
final String range = "> " + minRange;
final String name = CgeoApplication.getInstance().getResources().getQuantityString(R.plurals.favorite_points, minRange, range);
filters.add(new PopularityFilter(name, minRange, maxRange));
}
return filters;
}
}
}
|