In computing, memoization or memoisation
is an optimization technique used primarily
to speed up computer programs by storing
the results of expensive function calls and
returning the cached result when the same
inputs occur again.
— wikipedia
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| import React, { Component } from 'react'; | |
| import ReactSelect, { components } from 'react-select'; | |
| const TextOption = props => ( | |
| components.Option && ( | |
| <components.Option { ...props }> | |
| ... | |
| </components.Option> | |
| ) | |
| ); |
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| const isEqual = (a, b) => { | |
| const aKeys = Object.keys(a); | |
| if (aKeys.length !== Object.keys(b).length) { | |
| return false; | |
| } | |
| return aKeys.every( | |
| (k) => Object.prototype.hasOwnProperty.call(b, k) | |
| && a[k] === b[k], |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"/> | |
| <title>`value => value` vs Boolean #jsbench #jsperf</title> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/benchmark/1.0.0/benchmark.min.js"></script> | |
| <script src="./suite.js"></script> | |
| </head> | |
| <body> | |
| <h1>Open the console to view the results</h1> |
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| // https://codepen.io/P3R0/pen/MwgoKv | |
| var matrix = (function(){ | |
| var init = function() { | |
| document.body.style.background = 'black'; | |
| var mdr = document.createElement('canvas'); | |
| mdr.id = "mdr"; | |
| mdr.style.display = 'block'; | |
| mdr.style.position = 'fixed'; | |
| mdr.style.top = '0'; | |
| mdr.style.left = '0'; |
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| --scrollbar-thumb-width: 9px; // bigger = smaller width | |
| --scrollbar-thumb-margin: 3px; | |
| --scrollbar-thumb-color: rgba(255, 255, 255, 0.25); | |
| /* Chrome-like (mobile) scrollbar */ | |
| &::-webkit-scrollbar { | |
| width: var(--scrollbar-thumb-width); | |
| } | |
| &::-webkit-scrollbar-thumb { |
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| # delete local tag '12345' | |
| git tag -d 12345 | |
| # delete remote tag '12345' (eg, GitHub version too) | |
| git push origin :refs/tags/12345 | |
| # alternative approach | |
| git push --delete origin tagName | |
| git tag -d tagName |
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| function* fibonacci(limit = Infinity) { | |
| let [prev, current] = [0, 1] | |
| while (current < limit) { | |
| ;[prev, current] = [current, prev + current] | |
| yield current | |
| } | |
| } | |
| for (let i of fibonacci(30)) console.log(i) |
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