bjgrosse

import { useCallback } from "react";
import { useHistory } from "react-router-dom";
/**
 * Uses history.push to navigate to the specified URL.
 *
 * @param {string} url
 *
 * Usage:
 *  <Button onClick={useNavigateTo("/start")}>Start</Button>
 */

stolinski

[
    { "key": "ctrl+1", "command": "workbench.action.focusFirstEditorGroup" },
    { "key": "ctrl+2", "command": "workbench.action.focusSecondEditorGroup" },
    { "key": "ctrl+3", "command": "workbench.action.focusThirdEditorGroup" },
    { "key": "cmd+1", "command": "workbench.action.openEditorAtIndex1" },
    { "key": "cmd+2", "command": "workbench.action.openEditorAtIndex2" },
    { "key": "cmd+3", "command": "workbench.action.openEditorAtIndex3" },
    { "key": "cmd+4", "command": "workbench.action.openEditorAtIndex4" },
    { "key": "cmd+5", "command": "workbench.action.openEditorAtIndex5" },
    { "key": "cmd+6", "command": "workbench.action.openEditorAtIndex6" },

nylki

do androids dream of cooking?

The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.

The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.

rreimi

var url = 'http://www.pdf995.com/samples/pdf.pdf';
var fileName = 'pdf.pdf';
var xhr = new XMLHttpRequest();
xhr.open('GET', url, true);
xhr.responseType = 'blob';
 
xhr.onprogress = function(pe) {
  console.log('progress');
  if (pe.lengthComputable) {
    console.log((pe.loaded / pe.total) * 100);