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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | 11x 14x 14x 14x 14x 212x 212x 70x 70x 70x 70x 142x 14x 14x 106x 106x 106x 14x | import { OneOrMore } from '../types' export type OrderByRulesRuleObject<T> = { /** * 迭代函数。 * * @param item 项目 * @returns 返回参与排序计算的值 */ iteratee: (item: T) => any /** * 类型。 */ type: 'asc' | 'desc' } export type OrderByRulesRuleArray<T> = [ /** * 迭代函数。 * * @param item 项目 * @returns 返回参与排序计算的值 */ iteratee: (item: T) => any, /** * 类型。 */ type: 'asc' | 'desc', ] export type OrderByRulesRule<T> = | OrderByRulesRuleObject<T> | OrderByRulesRuleArray<T> /** * 允许指定一个或多个规则对数据进行排序。 * * @param data 要排序的数据 * @param rules 一个或多个规则 * @returns 返回排序后的数据 * @example * ```ts * orderByRules( * ['x', 'xyz', 'xy'], * { * iteratee: item => item.length, * type: 'desc', * }, * ) * // => ['xyz', 'xy', 'x'] * ``` */ export function orderByRules<T>( data: T[], rules: OneOrMore<OrderByRulesRule<T>>, ): T[] { return ( (Array.isArray(rules) ? typeof rules[0] === 'function' ? [rules] : rules : [rules]) as OrderByRulesRule<T>[] ) .map<OrderByRulesRuleObject<T>>(rule => Array.isArray(rule) ? { iteratee: rule[0], type: rule[1], } : rule, ) .reduce<T[]>((orderedData, rule) => { const cachedKeys: T[] = [] const cachedValues: any[] = [] const cachedIteratee: OrderByRulesRuleObject<T>['iteratee'] = item => { const index = cachedKeys.indexOf(item) if (index === -1) { const value = rule.iteratee(item) cachedKeys.push(item) cachedValues.push(value) return value } return cachedValues[index] } const isAsc = rule.type === 'asc' orderedData.sort((a, b) => { a = cachedIteratee(a) b = cachedIteratee(b) return a === b ? 0 : a > b ? (isAsc ? 1 : -1) : isAsc ? -1 : 1 }) return orderedData }, data.slice()) } |