cehua_LC
2018-12-22 48543615667931d8a040cccb7d40ba1c76192940
5366 【开发】【1.4】聚魂功能开发
1个文件已修改
32 ■■■■ 已修改文件
db/PyMongoDataServer/PySysDB/tagGatherSoulAttr.txt 32 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
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