This package includes several recursive methods. The functions of them are as same as the JS native methods such as Array.sort, Array.map. The difference between the native methods and these methods is that these methods are recursive methods and with trail optimization, never worry about memory out, after using async and await, JS implements the trail optimization very well. e.g.
export const extreme = async <T>(func: (a: T, b: T) => boolean, list: List<T>): Promise<T> => {
if (list.length <= 1) {
return list[0];
}
const extremeI = async (fun: (a: T, b: T) => boolean, li: List<T>, max: T): Promise<T> => {
await null;
const temMax = fun(max, li[0]) ? max : li[0];
if (li.length <= 1) {
return temMax;
}
return extremeI(fun, li.slice(1), temMax);
};
return extremeI(func, list.slice(1), list[0]);
};
const arr = new Array(1000000).fill(0).map(() => Math.random());
(async () => {
console.time('s')
console.log(await methods.extreme((a, b) => a > b,arr))
console.timeEnd('s')
})()
// Even though the array length is over 1,000,000, it still works, it just takes time, it doesn't take memory
npm install recursive-methods --save
javascript
const recursiveMethods = require('recursive-methods');
(async () => {
const greatest = await recursiveMethods.extreme((a, b) => a > b,[1, 2, 3, 4, 5, 6, 7, 8]);
console.log(greatest);
})();
// 8
typescript
import { map } from 'recursive-methods';
const list = ['one', 'two', 'three', 'four', 'five'];
(async () => {
const newList = await map((v, i) => v + String(i), lists);
console.log(newList);
})();
// ['one0', 'two1', 'three2', 'four3', 'five4']
Return a fibonacci number
.fibonacci(0); .fibonacci(1); .fibonacci(2);
// Individually return 1; 1; 2;
Return a fibonacci list
.fibonacciArr(0); .fibonacciArr(1); .fibonacciArr(2);
// Individually return [1]; [1, 1]; [1, 1, 2];
Return a filtered list
.filter(v => v > 5, [1, 2, 3, 4, 5, 6, 7, 8]);
// return [6, 7, 8]
Return a sorted list(it's faster a bit)
.sort((a, b) => a > b, [1,4,5,2,8,2,4,6]);
// return [1,2,2,4,4,5,6,8]
Return a sorted list, but it has trail optimization
.sorter((a, b) => a > b,[1,4,5,2,8,2,4,6]);
// return [1,2,2,4,4,5,6,8]
Return an extreme value
.extreme((a, b) => a > b, [1,4,5,2,8,2,4,6]);
// return 8
Return the slice when the values matched
.whileis(v => v > 3,[5,6,7,8,9,3,2,1,2,8,9]);
// return [5,6,7,8,9]
Return the rest list which dropping one specific value
.drop(v => v === 9,[5,6,7,8,9,3,2,1,2,8,9]);
// return [5,6,7,8,3,2,1,2,8,9]
Return a list that created by the returned value of the input function
.map((v, i) => `Value: ${v}, Index: ${i}`, ['value1', 'value2', 'value3']);
// return [Value: value1, Index: 0,Value: value2, Index: 1,Value: value3, Index: 2]
Compare the two values, return false or true
.isCongruence({a: [{b:'one', c: [222,'dd']}]},{a: [{b:'one', c: [222,'dd']}]});
// return true
.isCongruence({a: [{b:'one', c: [223,'dd']}]},{a: [{b:'one', c: [222,'dd']}]});
// return false
.isCongruence((a, b) => a + b,(a, b) => a + b);
// return true
Return a reversed list
.reverse([1, 2, 3, 4, 5, 6]);
// return [6, 5, 4, 3, 2, 1]
Return a list which created by the returned value of the parameter func. The difference between function map and this function is that this function do not loop every element of the list, it depends on the specific parameter gap
.fragment(
3,
(v, i) => (v[0] || 0) + (v[1] || 0) + (v[2] || 0),
[1, 2, 3, 4, 5, 6, 7, 8]
);
// return [6, 15, 15]
.fragment(3, (v, i) => v, [22, 33, 44, 55, 66, 77, 88, 99, 12, 12, 124]);
// return [[22, 33, 44], [55, 66, 77], [88, 99, 12], [12, 124]]
Return a list which is deleted duplicated values
.deduplicate([1,2,3,4,4,4,2,2,2,5,5,1,2,3,6]);
// return [1,2,3,4,5,6]
.deduplicate(['aa','bb','cc','cc','cc','dd']);
// return ['aa','bb','cc','dd']
.deduplicate([{a: 2,b: 2}, {a: 3,b: 3}, {a: 2,b: 2}, {a: 4,b: 4}]);
// return [{a: 2,b: 2}, {a: 3,b: 3}, {a: 4,b: 4}]
matrix is an array like
[[1,2,3],[4,5,6],[7,8,9]]
pick the column values as the new matrix's row values
.regenerateMatrix([['1','2',3],['4','5',6],['7','8',9]])
// return [['1','4','7'], ['2','5','8'],[3,6,9]]
rotate a matrix 90 degrees as anti-clockwise
.rotateMatrix([['1','2',3],['4','5',6],['7','8',9]])
// return [[3,6,9],['2','5','8'],['1','4','7']]