import lodash from 'lodash' // 元素反应类型及基数 export const erType = { 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' } } let erTmp = {} lodash.forEach(erType, (er, key) => { erTmp[er.title] = key }) export const erTitle = erTmp // 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 }