miao-plugin/models/profile/DmgCalcMeta.js

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import lodash from 'lodash'
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// 元素反应类型及基数
export const erType = {
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vaporize: { type: 'pct', num: ({ element }) => element === '水' ? 2 : 1.5, title: '蒸发' },
melt: { type: 'pct', num: ({ element }) => element === '火' ? 2 : 1.5, title: '融化' },
burning: { type: 'fusion', num: () => 1, title: '燃烧' },
superConduct: { type: 'fusion', num: () => 2, title: '超导' },
swirl: { type: 'fusion', num: () => 2.4, title: '扩散' },
electroCharged: { type: 'fusion', num: () => 4.8, title: '感电' },
shatter: { type: 'fusion', num: () => 6, title: '碎冰' },
overloaded: { type: 'fusion', num: () => 8, title: '超载' },
bloom: { type: 'fusion', num: () => 8, title: '绽放' },
burgeon: { type: 'fusion', num: () => 12, title: '烈绽放' },
hyperBloom: { type: 'fusion', num: () => 12, title: '超绽放' },
aggravate: { type: 'bonus', num: () => 4.6, title: '超激化' },
spread: { type: 'bonus', num: () => 5.0, title: '蔓激化' }
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}
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let erTmp = {}
lodash.forEach(erType, (er, key) => {
erTmp[er.title] = key
})
export const erTitle = erTmp
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// 各等级精通基础伤害
export const eleBaseDmg = {
1: 4.291,
2: 4.634,
3: 4.976,
4: 5.319,
5: 5.661,
6: 6.162,
7: 6.660,
8: 7.217,
9: 7.842,
10: 8.536,
11: 9.300,
12: 10.165,
13: 11.112,
14: 12.141,
15: 13.437,
16: 14.770,
17: 16.105,
18: 17.431,
19: 18.781,
20: 20.146,
21: 21.528,
22: 22.926,
23: 24.311,
24: 25.703,
25: 27.102,
26: 28.300,
27: 29.526,
28: 30.745,
29: 32.432,
30: 34.073,
31: 35.668,
32: 37.257,
33: 38.854,
34: 40.456,
35: 42.277,
36: 44.130,
37: 46.018,
38: 47.927,
39: 49.889,
40: 51.846,
41: 53.850,
42: 56.041,
43: 58.376,
44: 60.838,
45: 64.016,
46: 67.136,
47: 70.382,
48: 73.753,
49: 77.267,
50: 80.900,
51: 84.189,
52: 87.633,
53: 91.121,
54: 94.655,
55: 99.650,
56: 104.100,
57: 108.597,
58: 113.238,
59: 118.152,
60: 123.221,
61: 128.392,
62: 134.776,
63: 141.378,
64: 148.135,
65: 156.111,
66: 162.868,
67: 169.874,
68: 176.949,
69: 184.168,
70: 191.410,
71: 198.693,
72: 206.169,
73: 212.789,
74: 219.436,
75: 228.557,
76: 236.687,
77: 244.853,
78: 252.806,
79: 261.198,
80: 269.361,
81: 277.499,
82: 285.744,
83: 294.092,
84: 302.546,
85: 313.459,
86: 322.238,
87: 331.371,
88: 340.864,
89: 351.274,
90: 361.713
}