We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
计算数据是2560 * 2560大小的float[] 目前测试最慢的地方需要120s左右计算完成,想问一下还可以在那些方面优化,我不需要很高的精度
公式: (TD == 12 || TD == 13)?(6000.0*0.018*(1-W)*math.sum((5.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_1*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*5.5))),(6.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_2*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*6.5))),(7.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_3*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*7.5))),(8.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_4*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*8.5))),(9.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_5*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*9.5))),(10.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_6*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*10.5))),(11.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_7*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*11.5))),(12.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_8*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*12.5))),(13.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_9*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*13.5))),(14.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_10*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*14.5))),(15.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_11*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*15.5))),(16.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_12*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*16.5))),(17.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_13*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*17.5))),(18.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_14*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*18.5))),(19.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_15*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*19.5))))): (TD == 21 || TD == 22 || TD == 23||TD == 31 || TD == 32 || TD == 33 || TD == 41 || TD == 42 || TD == 43)?(6000.0*0.018*(1-W)*math.sum(5.5<CDQSFS_1||V_1*1>=1?(0.0): (T_1*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/5.5)),6.5<CDQSFS_1||V_1*1>=1?(0.0): (T_2*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/6.5)),7.5<CDQSFS_1||V_1*1>=1?(0.0): (T_3*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/7.5)),8.5<CDQSFS_1||V_1*1>=1?(0.0): (T_4*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/8.5)),9.5<CDQSFS_1||V_1*1>=1?(0.0): (T_5*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/9.5)),10.5<CDQSFS_1||V_1*1>=1?(0.0): (T_6*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/10.5)),11.5<CDQSFS_1||V_1*1>=1?(0.0): (T_7*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/11.5)),12.5<CDQSFS_1||V_1*1>=1?(0.0): (T_8*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/12.5)),13.5<CDQSFS_1||V_1*1>=1?(0.0): (T_9*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/13.5)),14.5<CDQSFS_1||V_1*1>=1?(0.0): (T_10*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/14.5)),15.5<CDQSFS_1||V_1*1>=1?(0.0): (T_11*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/15.5)),16.5<CDQSFS_1||V_1*1>=1?(0.0): (T_12*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/16.5)),17.5<CDQSFS_1||V_1*1>=1?(0.0): (T_13*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/17.5)),18.5<CDQSFS_1||V_1*1>=1?(0.0): (T_14*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/18.5)),19.5<CDQSFS_1||V_1*1>=1?(0.0): (T_15*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/19.5)))): (TD == 81 || TD == 82 || TD == 83)?(6000.0*0.018*(1-W)*math.sum(5.5<SDQSFS_1||V_1*1>=1?(0.0): (T_1*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*5.5)/(0.893*5.5))),6.5<SDQSFS_1||V_1*1>=1?(0.0): (T_2*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*6.5)/(0.893*6.5))),7.5<SDQSFS_1||V_1*1>=1?(0.0): (T_3*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*7.5)/(0.893*7.5))),8.5<SDQSFS_1||V_1*1>=1?(0.0): (T_4*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*8.5)/(0.893*8.5))),9.5<SDQSFS_1||V_1*1>=1?(0.0): (T_5*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*9.5)/(0.893*9.5))),10.5<SDQSFS_1||V_1*1>=1?(0.0): (T_6*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*10.5)/(0.893*10.5))),11.5<SDQSFS_1||V_1*1>=1?(0.0): (T_7*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*11.5)/(0.893*11.5))),12.5<SDQSFS_1||V_1*1>=1?(0.0): (T_8*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*12.5)/(0.893*12.5))),13.5<SDQSFS_1||V_1*1>=1?(0.0): (T_9*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*13.5)/(0.893*13.5))),14.5<SDQSFS_1||V_1*1>=1?(0.0): (T_10*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*14.5)/(0.893*14.5))),15.5<SDQSFS_1||V_1*1>=1?(0.0): (T_11*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*15.5)/(0.893*15.5))),16.5<SDQSFS_1||V_1*1>=1?(0.0): (T_12*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*16.5)/(0.893*16.5))),17.5<SDQSFS_1||V_1*1>=1?(0.0): (T_13*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*17.5)/(0.893*17.5))),18.5<SDQSFS_1||V_1*1>=1?(0.0): (T_14*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*18.5)/(0.893*18.5))),19.5<SDQSFS_1||V_1*1>=1?(0.0): (T_15*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*19.5)/(0.893*19.5))))):0.0
(TD == 12 || TD == 13)?(6000.0*0.018*(1-W)*math.sum((5.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_1*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*5.5))),(6.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_2*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*6.5))),(7.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_3*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*7.5))),(8.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_4*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*8.5))),(9.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_5*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*9.5))),(10.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_6*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*10.5))),(11.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_7*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*11.5))),(12.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_8*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*12.5))),(13.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_9*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*13.5))),(14.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_10*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*14.5))),(15.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_11*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*15.5))),(16.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_12*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*16.5))),(17.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_13*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*17.5))),(18.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_14*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*18.5))),(19.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_15*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*19.5))))): (TD == 21 || TD == 22 || TD == 23||TD == 31 || TD == 32 || TD == 33 || TD == 41 || TD == 42 || TD == 43)?(6000.0*0.018*(1-W)*math.sum(5.5<CDQSFS_1||V_1*1>=1?(0.0): (T_1*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/5.5)),6.5<CDQSFS_1||V_1*1>=1?(0.0): (T_2*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/6.5)),7.5<CDQSFS_1||V_1*1>=1?(0.0): (T_3*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/7.5)),8.5<CDQSFS_1||V_1*1>=1?(0.0): (T_4*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/8.5)),9.5<CDQSFS_1||V_1*1>=1?(0.0): (T_5*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/9.5)),10.5<CDQSFS_1||V_1*1>=1?(0.0): (T_6*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/10.5)),11.5<CDQSFS_1||V_1*1>=1?(0.0): (T_7*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/11.5)),12.5<CDQSFS_1||V_1*1>=1?(0.0): (T_8*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/12.5)),13.5<CDQSFS_1||V_1*1>=1?(0.0): (T_9*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/13.5)),14.5<CDQSFS_1||V_1*1>=1?(0.0): (T_10*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/14.5)),15.5<CDQSFS_1||V_1*1>=1?(0.0): (T_11*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/15.5)),16.5<CDQSFS_1||V_1*1>=1?(0.0): (T_12*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/16.5)),17.5<CDQSFS_1||V_1*1>=1?(0.0): (T_13*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/17.5)),18.5<CDQSFS_1||V_1*1>=1?(0.0): (T_14*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/18.5)),19.5<CDQSFS_1||V_1*1>=1?(0.0): (T_15*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/19.5)))): (TD == 81 || TD == 82 || TD == 83)?(6000.0*0.018*(1-W)*math.sum(5.5<SDQSFS_1||V_1*1>=1?(0.0): (T_1*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*5.5)/(0.893*5.5))),6.5<SDQSFS_1||V_1*1>=1?(0.0): (T_2*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*6.5)/(0.893*6.5))),7.5<SDQSFS_1||V_1*1>=1?(0.0): (T_3*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*7.5)/(0.893*7.5))),8.5<SDQSFS_1||V_1*1>=1?(0.0): (T_4*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*8.5)/(0.893*8.5))),9.5<SDQSFS_1||V_1*1>=1?(0.0): (T_5*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*9.5)/(0.893*9.5))),10.5<SDQSFS_1||V_1*1>=1?(0.0): (T_6*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*10.5)/(0.893*10.5))),11.5<SDQSFS_1||V_1*1>=1?(0.0): (T_7*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*11.5)/(0.893*11.5))),12.5<SDQSFS_1||V_1*1>=1?(0.0): (T_8*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*12.5)/(0.893*12.5))),13.5<SDQSFS_1||V_1*1>=1?(0.0): (T_9*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*13.5)/(0.893*13.5))),14.5<SDQSFS_1||V_1*1>=1?(0.0): (T_10*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*14.5)/(0.893*14.5))),15.5<SDQSFS_1||V_1*1>=1?(0.0): (T_11*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*15.5)/(0.893*15.5))),16.5<SDQSFS_1||V_1*1>=1?(0.0): (T_12*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*16.5)/(0.893*16.5))),17.5<SDQSFS_1||V_1*1>=1?(0.0): (T_13*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*17.5)/(0.893*17.5))),18.5<SDQSFS_1||V_1*1>=1?(0.0): (T_14*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*18.5)/(0.893*18.5))),19.5<SDQSFS_1||V_1*1>=1?(0.0): (T_15*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*19.5)/(0.893*19.5))))):0.0
部分日志 `11:02:25.677 [main] WARN XXXXRasterCalculator - 固定参数:GDQSFS_1 -> 5.5 11:02:25.679 [main] WARN XXXXRasterCalculator - 固定参数:CDQSFS_1 -> 5.5 11:02:25.680 [main] WARN XXXXRasterCalculator - 固定参数:SDQSFS_1 -> 5.5 11:02:38.697 [raster-cal-0-0] DEBUG XXXXRasterCalculator - 读取耗时: 12s 11:02:40.123 [raster-cal-0-0] DEBUG XXXXRasterCalculator - 计算耗时: 1s 11:02:40.391 [raster-cal-0-0] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:02:43.824 [raster-cal-0-2] DEBUG XXXXRasterCalculator - 读取耗时: 1s 11:02:55.201 [raster-cal-0-2] DEBUG XXXXRasterCalculator - 计算耗时: 11s 11:02:55.244 [raster-cal-0-2] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:02:57.002 [raster-cal-0-3] DEBUG XXXXRasterCalculator - 读取耗时: 1s 11:03:54.974 [raster-cal-0-3] DEBUG XXXXRasterCalculator - 计算耗时: 57s 11:03:55.044 [raster-cal-0-3] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:03:56.695 [raster-cal-0-4] DEBUG XXXXRasterCalculator - 读取耗时: 1s 11:05:03.251 [raster-cal-0-4] DEBUG XXXXRasterCalculator - 计算耗时: 66s 11:05:03.315 [raster-cal-0-4] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:05:43.424 [raster-cal-1-0] DEBUG XXXXRasterCalculator - 读取耗时: 16s 11:05:44.966 [raster-cal-1-0] DEBUG XXXXRasterCalculator - 计算耗时: 1s 11:05:45.046 [raster-cal-1-0] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:05:45.353 [raster-cal-1-1] DEBUG XXXXRasterCalculator - 读取耗时: 0s 11:05:56.614 [raster-cal-1-1] DEBUG XXXXRasterCalculator - 计算耗时: 11s 11:05:56.662 [raster-cal-1-1] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:05:56.989 [raster-cal-1-2] DEBUG XXXXRasterCalculator - 读取耗时: 0s 11:07:11.357 [raster-cal-1-2] DEBUG XXXXRasterCalculator - 计算耗时: 74s 11:07:11.451 [raster-cal-1-2] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:07:11.803 [raster-cal-1-3] DEBUG XXXXRasterCalculator - 读取耗时: 0s 11:08:35.485 [raster-cal-1-3] DEBUG XXXXRasterCalculator - 计算耗时: 83s 11:08:35.606 [raster-cal-1-3] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:11:20.790 [raster-cal-1-6] DEBUG XXXXRasterCalculator - 读取耗时: 1s 11:11:59.875 [raster-cal-1-6] DEBUG XXXXRasterCalculator - 计算耗时: 39s 11:11:59.901 [raster-cal-1-6] DEBUG XXXXRasterCalculator - 写入耗时: 0s `
主要代码
int floatArrLength = 2560 * 2560; for (int i = 0; i < floatArrLength; i++) { Object[] objs = new Object[variableNames.size() * 2]; boolean isCal = true; for (int i1 = 0; i1 < variableNames.size(); i1++) { String variableName = variableNames.get(i1); if (!isCal) { continue; } Double noData = noDataMap.get(variableName); boolean floatsIsNull = floatMap.get(variableName) == null; double v = floatsIsNull ? tifMap.getDouble(variableName) : floatMap.get(variableName)[i]; if (x == 0 && y == 0) { noData = noData == null ? floatsIsNull ? noDataValue : floatMap.get(variableName)[0] : noData; noDataMap.put(variableName, noData); } if (!floatsIsNull && v == noData) { isCal = false; } objs[i1 != 0 ? 2 * i1 : 0] = variableName; objs[i1 != 0 ? 2 * i1 + 1 : 1] = v; } float d = isCal ? Float.parseFloat(compile.execute(compile.newEnv(objs)).toString()) : noDataValue; floats[i] = d; }
The text was updated successfully, but these errors were encountered:
我看表达式中存在大量重复的子表达式,这些是否可以抽取成变量:
let x = ...; let y = ...; x +y
避免无谓的重复计算。
Sorry, something went wrong.
No branches or pull requests
计算数据是2560 * 2560大小的float[]
目前测试最慢的地方需要120s左右计算完成,想问一下还可以在那些方面优化,我不需要很高的精度
公式:
(TD == 12 || TD == 13)?(6000.0*0.018*(1-W)*math.sum((5.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_1*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*5.5))),(6.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_2*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*6.5))),(7.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_3*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*7.5))),(8.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_4*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*8.5))),(9.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_5*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*9.5))),(10.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_6*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*10.5))),(11.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_7*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*11.5))),(12.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_8*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*12.5))),(13.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_9*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*13.5))),(14.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_10*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*14.5))),(15.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_11*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*15.5))),(16.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_12*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*16.5))),(17.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_13*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*17.5))),(18.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_14*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*18.5))),(19.5<GDQSFS_1||(Z_1<=0||V_1*1>=1))?(0.0): (T_15*math.exp(-9.208 + 0.018/Z_1 + 1.955 * math.sqrt(0.893*19.5))))): (TD == 21 || TD == 22 || TD == 23||TD == 31 || TD == 32 || TD == 33 || TD == 41 || TD == 42 || TD == 43)?(6000.0*0.018*(1-W)*math.sum(5.5<CDQSFS_1||V_1*1>=1?(0.0): (T_1*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/5.5)),6.5<CDQSFS_1||V_1*1>=1?(0.0): (T_2*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/6.5)),7.5<CDQSFS_1||V_1*1>=1?(0.0): (T_3*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/7.5)),8.5<CDQSFS_1||V_1*1>=1?(0.0): (T_4*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/8.5)),9.5<CDQSFS_1||V_1*1>=1?(0.0): (T_5*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/9.5)),10.5<CDQSFS_1||V_1*1>=1?(0.0): (T_6*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/10.5)),11.5<CDQSFS_1||V_1*1>=1?(0.0): (T_7*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/11.5)),12.5<CDQSFS_1||V_1*1>=1?(0.0): (T_8*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/12.5)),13.5<CDQSFS_1||V_1*1>=1?(0.0): (T_9*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/13.5)),14.5<CDQSFS_1||V_1*1>=1?(0.0): (T_10*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/14.5)),15.5<CDQSFS_1||V_1*1>=1?(0.0): (T_11*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/15.5)),16.5<CDQSFS_1||V_1*1>=1?(0.0): (T_12*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/16.5)),17.5<CDQSFS_1||V_1*1>=1?(0.0): (T_13*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/17.5)),18.5<CDQSFS_1||V_1*1>=1?(0.0): (T_14*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/18.5)),19.5<CDQSFS_1||V_1*1>=1?(0.0): (T_15*math.exp(2.4869 -0.0014*10000*math.pow(1*V_1,2) - 61.3935/19.5)))): (TD == 81 || TD == 82 || TD == 83)?(6000.0*0.018*(1-W)*math.sum(5.5<SDQSFS_1||V_1*1>=1?(0.0): (T_1*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*5.5)/(0.893*5.5))),6.5<SDQSFS_1||V_1*1>=1?(0.0): (T_2*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*6.5)/(0.893*6.5))),7.5<SDQSFS_1||V_1*1>=1?(0.0): (T_3*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*7.5)/(0.893*7.5))),8.5<SDQSFS_1||V_1*1>=1?(0.0): (T_4*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*8.5)/(0.893*8.5))),9.5<SDQSFS_1||V_1*1>=1?(0.0): (T_5*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*9.5)/(0.893*9.5))),10.5<SDQSFS_1||V_1*1>=1?(0.0): (T_6*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*10.5)/(0.893*10.5))),11.5<SDQSFS_1||V_1*1>=1?(0.0): (T_7*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*11.5)/(0.893*11.5))),12.5<SDQSFS_1||V_1*1>=1?(0.0): (T_8*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*12.5)/(0.893*12.5))),13.5<SDQSFS_1||V_1*1>=1?(0.0): (T_9*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*13.5)/(0.893*13.5))),14.5<SDQSFS_1||V_1*1>=1?(0.0): (T_10*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*14.5)/(0.893*14.5))),15.5<SDQSFS_1||V_1*1>=1?(0.0): (T_11*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*15.5)/(0.893*15.5))),16.5<SDQSFS_1||V_1*1>=1?(0.0): (T_12*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*16.5)/(0.893*16.5))),17.5<SDQSFS_1||V_1*1>=1?(0.0): (T_13*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*17.5)/(0.893*17.5))),18.5<SDQSFS_1||V_1*1>=1?(0.0): (T_14*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*18.5)/(0.893*18.5))),19.5<SDQSFS_1||V_1*1>=1?(0.0): (T_15*math.exp(6.1689 - 0.0743*100*1*V_1 - 27.9613*math.log(0.893*19.5)/(0.893*19.5))))):0.0
部分日志
`11:02:25.677 [main] WARN XXXXRasterCalculator - 固定参数:GDQSFS_1 -> 5.5
11:02:25.679 [main] WARN XXXXRasterCalculator - 固定参数:CDQSFS_1 -> 5.5
11:02:25.680 [main] WARN XXXXRasterCalculator - 固定参数:SDQSFS_1 -> 5.5
11:02:38.697 [raster-cal-0-0] DEBUG XXXXRasterCalculator - 读取耗时: 12s
11:02:40.123 [raster-cal-0-0] DEBUG XXXXRasterCalculator - 计算耗时: 1s
11:02:40.391 [raster-cal-0-0] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:02:43.824 [raster-cal-0-2] DEBUG XXXXRasterCalculator - 读取耗时: 1s
11:02:55.201 [raster-cal-0-2] DEBUG XXXXRasterCalculator - 计算耗时: 11s
11:02:55.244 [raster-cal-0-2] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:02:57.002 [raster-cal-0-3] DEBUG XXXXRasterCalculator - 读取耗时: 1s
11:03:54.974 [raster-cal-0-3] DEBUG XXXXRasterCalculator - 计算耗时: 57s
11:03:55.044 [raster-cal-0-3] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:03:56.695 [raster-cal-0-4] DEBUG XXXXRasterCalculator - 读取耗时: 1s
11:05:03.251 [raster-cal-0-4] DEBUG XXXXRasterCalculator - 计算耗时: 66s
11:05:03.315 [raster-cal-0-4] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:05:43.424 [raster-cal-1-0] DEBUG XXXXRasterCalculator - 读取耗时: 16s
11:05:44.966 [raster-cal-1-0] DEBUG XXXXRasterCalculator - 计算耗时: 1s
11:05:45.046 [raster-cal-1-0] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:05:45.353 [raster-cal-1-1] DEBUG XXXXRasterCalculator - 读取耗时: 0s
11:05:56.614 [raster-cal-1-1] DEBUG XXXXRasterCalculator - 计算耗时: 11s
11:05:56.662 [raster-cal-1-1] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:05:56.989 [raster-cal-1-2] DEBUG XXXXRasterCalculator - 读取耗时: 0s
11:07:11.357 [raster-cal-1-2] DEBUG XXXXRasterCalculator - 计算耗时: 74s
11:07:11.451 [raster-cal-1-2] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:07:11.803 [raster-cal-1-3] DEBUG XXXXRasterCalculator - 读取耗时: 0s
11:08:35.485 [raster-cal-1-3] DEBUG XXXXRasterCalculator - 计算耗时: 83s
11:08:35.606 [raster-cal-1-3] DEBUG XXXXRasterCalculator - 写入耗时: 0s
11:11:20.790 [raster-cal-1-6] DEBUG XXXXRasterCalculator - 读取耗时: 1s
11:11:59.875 [raster-cal-1-6] DEBUG XXXXRasterCalculator - 计算耗时: 39s
11:11:59.901 [raster-cal-1-6] DEBUG XXXXRasterCalculator - 写入耗时: 0s
`
主要代码
The text was updated successfully, but these errors were encountered: