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.fuxi_weather import *
c=cfg(R);d=np.load(R/c['paths']['predictions']);p=d['prediction'];truth=np.stack([[sample(i,s+1)[0].numpy() for s in range(12)] for i in range(2)]);rmse=np.sqrt(np.mean((p-truth)**2,axis=(0,2,3,4)));write(R/c['paths']['evaluation'],{'rmse':rmse.tolist(),'is_complete_global':False,'synthetic':True});plt.plot(d['lead_hours'],rmse);plt.xlabel('Lead (h)');plt.ylabel('RMSE');q=R/c['paths']['figure'];q.parent.mkdir(parents=True,exist_ok=True);plt.savefig(q,dpi=150);print(q)