frankie567

import asyncio

import streamlit as st
from httpx_oauth.clients.google import GoogleOAuth2

st.title("Google OAuth2 flow")

"## Configuration"

client_id = st.text_input("Client ID")

mattb

// transcribed from an Apache Spark 1.0 spark-shell session
// using data from http://chriswhong.com/open-data/foil_nyc_taxi/
// and the QTree algorithm for approximate quantiles over large datasets
// each of the distanceRange and minutesRange calculations below takes about 15 minutes on my four-core SSD-based Macbook Pro

import com.twitter.algebird._
import com.twitter.algebird.Operators._
implicit val qtSemigroupD = new QTreeSemigroup[Double](6)

val in = sc.textFile("trip_data") // a directory containing all the trip_data*.csv files downloaded from the above link

adamjmurray

require 'ffi'

# A MIDI driver to play MIDI using OSX's built in DLS synthesizer.
#
# == Authors
#
# * Adam Murray <[email protected]>
#
# == Copyright
#

leecrossley

/*
THIS GIST IS OUT OF DATE AND NOT MONITORED
PLEASE SEE https://github.com/leecrossley/cordova-plugin-shake-detection
*/

var shake = (function () {
	var shake = {},
		watchId = null,
		options = { frequency: 300 },
		previousAcceleration = { x: null, y: null, z: null },

max-mapper

function createDimensions(key) {
  var asc = xf.dimension(function (d) { return +(d[key]) })
  var desc = xf.dimension(function (d) { return -1 * (+(d[key])) })
  var sorter = new BucketSort(+(desc.top(1)[0][key]), +(asc.top(1)[0][key]), 100)
  var buckets = xf.dimension(function (d) { return sorter.getBucket(+d[key]) })
  var group = buckets.group()
  return {
    asc: asc,
    desc: desc,
    buckets: buckets,