sujinleeme

import { useState, useEffect } from "react";

interface Dimensions {
  width: number | null;
  height: number | null;
}

export const useWindowDimensions = (): Dimensions => {
  const hasWindow = typeof window !== "undefined";

sujinleeme

// mock file
function MockFile() { };

MockFile.prototype.create = function (name, size, mimeType) {
    name = name || "mock.txt";
    size = size || 1024;
    mimeType = mimeType || 'plain/txt';

    function range(count) {
        var output = "";

sujinleeme

{ 
  "type":"object",
  "require": true,
  "patternProperties":{
     "[A-Za-z:0-9]":{
        "type":"object",
        "additionalProperties":false,
        "required":[
           "time",
           "timestamp",

sujinleeme

// Require to install a package from npm with ResizeObserver typings.
// yarn --dev @types/resize-observer-browser
import { useCallback, useLayoutEffect, useRef, useState } from "react";

import ResizeObserver from 'resize-observer-polyfill'

type RectResult = {
  bottom: number;
  height: number;
  left: number;

sujinleeme

Basic Implmentation

function renderWithRedux(ui, { initialState, store = createStore(rootReducer, initialState) } = {}, renderFn = render) {
  const obj = {
    ...renderFn(<Provider store={store}>{ui}</Provider>),
    store,
  };
  obj.rerenderWithRedux = (el) => renderWithRedux(el, { store }, obj.rerender);
  return obj;

sujinleeme

import { RefObject, useEffect } from 'react';

const MOUSEDOWN = 'mousedown';
const TOUCHSTART = 'touchstart';

type HandledEvents = [typeof MOUSEDOWN, typeof TOUCHSTART];

interface UseOnClickOutsideProps {
  innerRef: RefObject<HTMLElement>;
  outerRef?: RefObject<HTMLElement> | { current: HTMLDocument };

sujinleeme

const hiddenNumNeurons = 20
const hidden2NumNeurons = 5

const learningRate = 0.01
const num_iterations = 100
const batch_size = 20

const weights = tf.variable(tf.randomNormal([2, hiddenNumNeurons]))
const biases = tf.variable(tf.zeros([hiddenNumNeurons]))
const weights2 = tf.variable(tf.randomNormal([hiddenNumNeurons, hidden2NumNeurons]))

sujinleeme

class Minesweeper {
  constructor(cols, rows, mines) {
    this.cols = cols
    this.rows = rows
    this.mines = mines
  }

  drawGrid() {
    let grid = []
    for (let i = 0; i < this.rows; i++) {

sujinleeme

Find the nearest coordinate from a set of geographical coordinates using haversine

sujinleeme

Get Street Geojson using Openstreet's Nominaim API

1. Update street names in all-streets.txt.
2. Update your COUNTRY_CODE = 'sg' in geojson_generator.py.
3. Run geojson_generator.py
4. Check *.csv and geojson.json file.

Nominatim is a search engine for OpenStreetMap data. This is the debugging interface. You may search for a name or address (forward search) or look up data by its geographic coordinate (reverse search). Each result comes with a link to a details page where you can inspect what data about the object is saved in the database and investigate how the address of the object has been computed. To enhance understand of Nominatim, recommend to visit https://nominatim.openstreetmap.org/ and play for a while.