cehua-HWJ35
2019-01-11 e5d254a0152d8712b8f2d1618272e842471012fc
db/PyMongoDataServer/PySysDB/tagGatherSoulAttr.txt
@@ -1,17 +1,17 @@
AttrType   AttrInfo1   AttrInfo2   AttrInfo3   AttrInfo4   AttrInfo5
6   (level-1)*100   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.7   5_725|4_238|3_25|2_15|1_10   0_1.5|1_1.6
7   (level-1)*100   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.8   5_14459|4_4722|3_480|2_288|1_192   0_1.5|1_1.7
8   (level-1)*100   1_0.3|2_0.45|3_0.6|4_0.75|5_1   2_1.5|3_1.6|4_1.9   5_1200|4_600|3_300|2_180|1_120   0_1.5|1_1.8
46   (level-1)*500   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.9   5_2800|4_1400|3_700|2_420|1_280   0_1.5|1_1.9
42   (level-1)*500*1.3   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.9   5_3520|4_1760|3_880|2_528|1_352   0_1.5|1_1.10
41   (level-1)*500   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.9   5_2080|4_1040|3_520|2_312|1_208   0_1.5|1_1.11
43   (level-1)*500   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.9   5_2280|4_1140|3_570|2_342|1_228   0_1.5|1_1.12
26   (level-1)*600   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.9   5_1480|4_740|3_370|2_222|1_148   0_1.5|1_1.13
27   (level-1)*400   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.9   5_880|4_440|3_220|2_132|1_88   0_1.5|1_1.14
35   (level-1)*25   1_0.3|2_0.45|3_0.6|4_0.75|5_1   2_1.5|3_1.6|4_1.9   5_964|4_482|3_241|2_145|1_96   0_1.5|1_1.15
36   (level-1)*100   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.9   5_623|4_270|3_104|2_63|1_42   0_1.5|1_1.16
32   (level-1)*50   1_0.3|2_0.45|3_0.6|4_0.75|5_1   2_1.5|3_1.6|4_1.9   5_1348|4_674|3_337|2_202|1_135   0_1.5|1_1.17
2   (level-1)*20   1_0.3|2_0.45|3_0.6|4_0.75|5_1   2_1.5|3_1.6|4_1.9   5_520|4_260|3_130|2_78|1_52   0_1.5|1_1.18
3   (level-1)*40   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.9   5_640|4_320|3_160|2_96|1_64   0_1.5|1_1.19
4   (level-1)*50   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.9   5_440|4_220|3_110|2_66|1_44   0_1.5|1_1.20
5   (level-1)*40   1_0.2|2_0.3|3_0.5|4_0.7|5_1   2_1.5|3_1.6|4_1.9   5_240|4_120|3_60|2_36|1_24   0_1.5|1_1.21
6   int(2960210*(0+0.3*((level-1)/49.0)+0.35*pow((level-1)/49.0,2)+0.25*pow((level-1)/49.0,3)+0.1*pow((level-1)/49.0,4))*0.125)   5_1|4_0.7|3_0.5|2_0.3|1_0.2   2_1.5|3_1.5|4_1.5   5_105721|4_52860|3_26430|2_15858|1_10572   0_1|1_1.8
7   int(2960210*(0+0.3*((level-1)/49.0)+0.35*pow((level-1)/49.0,2)+0.25*pow((level-1)/49.0,3)+0.1*pow((level-1)/49.0,4))*0.00625)   5_1|4_0.7|3_0.5|2_0.3|1_0.2   2_1.5|3_1.5|4_1.5   5_4698|4_2349|3_1174|2_704|1_469   0_1|1_1.8
8   int(2960210*(0+0.3*((level-1)/49.0)+0.35*pow((level-1)/49.0,2)+0.25*pow((level-1)/49.0,3)+0.1*pow((level-1)/49.0,4))*0.00625)   5_1|4_0.7|3_0.5|2_0.3|1_0.2   2_1.5|3_1.5|4_1.5   5_4111|4_2055|3_1027|2_616|1_411   0_1|1_1.8
46   int((level-1)*100)   5_1|4_0.75|3_0.6|2_0.45|1_0.3   2_1|3_1|4_1   5_1500|4_750|3_375|2_225|1_150   0_1|1_1.5
42   int(2960210*(0+0.3*((level-1)/49.0)+0.35*pow((level-1)/49.0,2)+0.25*pow((level-1)/49.0,3)+0.1*pow((level-1)/49.0,4))*0.00625)   5_1|4_0.7|3_0.5|2_0.3|1_0.2   2_1.5|3_1.5|4_1.5   5_4111|4_2055|3_1027|2_616|1_411   0_1|1_1.8
41   int(2960210*(0+0.3*((level-1)/49.0)+0.35*pow((level-1)/49.0,2)+0.25*pow((level-1)/49.0,3)+0.1*pow((level-1)/49.0,4))*0.00625)   5_1|4_0.7|3_0.5|2_0.3|1_0.2   2_1.5|3_1.5|4_1.5   5_2936|4_1468|3_734|2_440|1_293   0_1|1_1.8
43   int(2960210*(0+0.3*((level-1)/49.0)+0.35*pow((level-1)/49.0,2)+0.25*pow((level-1)/49.0,3)+0.1*pow((level-1)/49.0,4))*0.00625)   5_1|4_0.7|3_0.5|2_0.3|1_0.2   2_1.5|3_1.5|4_1.5   5_1174|4_587|3_293|2_176|1_117   0_1|1_1.8
26   int(2960210*(0+0.3*((level-1)/49.0)+0.35*pow((level-1)/49.0,2)+0.25*pow((level-1)/49.0,3)+0.1*pow((level-1)/49.0,4))*0.00625)   5_1|4_0.7|3_0.5|2_0.3|1_0.2   2_1.5|3_1.5|4_1.5   5_1174|4_587|3_293|2_176|1_117   0_1|1_1.8
27   int(2960210*(0+0.3*((level-1)/49.0)+0.35*pow((level-1)/49.0,2)+0.25*pow((level-1)/49.0,3)+0.1*pow((level-1)/49.0,4))*0.00625)   5_1|4_0.7|3_0.5|2_0.3|1_0.2   2_1.5|3_1.5|4_1.5   5_1174|4_587|3_293|2_176|1_117   0_1|1_1.8
35   int((level-1)*400)   5_1|4_0.75|3_0.6|2_0.45|1_0.3   2_1|3_1|4_1   5_1500|4_750|3_375|2_225|1_150   0_1|1_1.5
36   int((level-1)*400)   5_1|4_0.75|3_0.6|2_0.45|1_0.3   2_1|3_1|4_1   5_1500|4_750|3_375|2_225|1_150   0_1|1_1.5
32   int((level-1)*400)   5_1|4_0.75|3_0.6|2_0.45|1_0.3   2_1|3_1|4_1   5_1500|4_750|3_375|2_225|1_150   0_1|1_1.5
2   int((level-1)*20)   5_1|4_0.75|3_0.6|2_0.45|1_0.3   2_1.25|3_1.25|4_1.25   5_220|4_110|3_55|2_33|1_22   0_1|1_1.4
3   int((level-1)*20)   5_1|4_0.75|3_0.6|2_0.45|1_0.3   2_1.25|3_1.25|4_1.25   5_220|4_110|3_55|2_33|1_22   0_1|1_1.4
4   int((level-1)*20)   5_1|4_0.75|3_0.6|2_0.45|1_0.3   2_1.25|3_1.25|4_1.25   5_220|4_110|3_55|2_33|1_22   0_1|1_1.4
5   int((level-1)*20)   5_1|4_0.75|3_0.6|2_0.45|1_0.3   2_1.25|3_1.25|4_1.25   5_220|4_110|3_55|2_33|1_22   0_1|1_1.4