from pathlib import Path
import sys,numpy as np;import matplotlib;matplotlib.use('Agg');import matplotlib.pyplot as plt
R=Path(__file__).resolve().parents[1];sys.path.insert(0,str(R));from model.pysteps import cfg,write
c=cfg(R);d=np.load(R/c['paths']['predictions']);e=d['ensemble'];t=d['target'];mean=e.mean(0);rmse=np.sqrt(np.mean((mean-t)**2,(1,2)));write(R/c['paths']['evaluation'],{'rmse':rmse.tolist(),'spread':e.std(0).mean((1,2)).tolist(),'synthetic':True});plt.plot(d['lead_minutes'],rmse);q=R/c['paths']['figure'];q.parent.mkdir(parents=True,exist_ok=True);plt.savefig(q);print(q)