Sujin Lee 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;

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

Get Street Geojson using Openstreet's Nominaim API

Update street names in all-streets.txt.
Update your COUNTRY_CODE = 'sg' in geojson_generator.py.
Run geojson_generator.py
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.

	import { useState, useEffect } from "react";

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

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

	// 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 = "";

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

	// 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;

	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 };

	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]))

	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++) {