在我的Android项目中,我有如下的模型类
dfList <- lapply(seq_along(bin.brks), function(m)
df[(df$len > bin.brks[m] & df$len <= bin.brks[m+1]),])
print(dfList)
# [[1]]
# [1] id len
# <0 rows> (or 0-length row.names)
# [[2]]
# id len
# 1 1 11.25
# 2 2 11.75
# 3 3 12.00
# 4 4 12.00
# [[3]]
# id len
# 5 5 12.5
# [[4]]
# id len
# 6 6 13.25
# [[5]]
# [1] id len
# <0 rows> (or 0-length row.names)
dfList <- Filter(function(i) nrow(i) > 0, dfList)
print(dfList)
# [[1]]
# id len
# 1 1 11.25
# 2 2 11.75
# 3 3 12.00
# 4 4 12.00
# [[2]]
# id len
# 5 5 12.5
# [[3]]
# id len
# 6 6 13.25
RealmList的自定义GSON类型适配器,如下所示
public class PilotMovement extends RealmObject {
private String type;
private RealmList<Coordinates> coordinates;
public PilotMovement() {
}
public PilotMovement(String type, RealmList<Coordinates> coordinates) {
this.type = type;
this.coordinates = coordinates;
}
public void setType(String type) {
this.type = type;
}
public void setCoordinates(RealmList<Coordinates> coordinates) {
this.coordinates = coordinates;
}
public class Coordinates extends RealmObject{
private double lon, lat;
public Coordinates(double lon, double lat) {
this.lon = lon;
this.lat = lat;
}
}
运行项目后显示编译错误如下
错误:任务&#39;:app:transformJackWithJackForDebug&#39;执行失败。
com.android.jack.ir.JNodeInternalError:java.lang.Exception:java.lang.IllegalStateException:不支持的类型java.lang.Object
如何解决这个问题的解决方案是什么?
答案 0 :(得分:1)
考虑使用RealmList而不是list。但是我记得Realm不支持非RealmObjects的列表。因此,最好的方法是将坐标分离为:
public class LocationInfo extends RealmObject {
private String type;
private double lat;
private double lon;
}