Douglas Duhaime duhaime

## demo-middleware-1.js
const restaurantOwnerOnlyMiddleware = (req, res, next) => {
    const {restaurantId} = req.params; // in this case, the id is part of the path
    const user = req.user; // available if you're using Google Firebase Authentication Middleware

    const hasPermission = (id, user) => true; // do your checks here instead

    if (!hasPermission(restaurantId, user)) {
        res.status(403).send("Unauthorized");
        return;
    }

## map, filter and reduce explained
map(['🐮','🍠', '🐔', '🌽'], cook);
=> ['🍔', '🍟', '🍗', '🍿'];

filter(['🍔', '🍟', '🍗', '🍿'],  isVegetarian);
=> ['🍟', '🍿'];

reduce(['🍔', '🍟', '🍗', '🍿'], eat);
=> ['💩'];

## index.html
<!DOCTYPE html>
<html>
<head>
    <title>海德沙龙刷机包</title>
    <style>
        .node circle {
          fill: #fff;
          stroke: steelblue;
          stroke-width: 3px;
        }

## hello.md

      
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              56 comments
            
          
              3 stars
            
          
                brentvatne
                / hello.md
            
            
              Created
              March 13, 2019 17:05
            
          
      View hello.md
  
      
    👋👋👋👋👋👋👋👋👋👋👋👋👋👋👋👋👋

  
## biggan-search.ipynb

      
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              7 stars
            
          
                kylemcdonald
                / biggan-search.ipynb
            
            
              Last active
              December 16, 2018 03:34
            
              
                BigGAN Search
              
          
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## umap_sparse.py
### JHW 2018
import numpy as np
import umap


# This code from the excellent module at:
# https://stackoverflow.com/questions/4643647/fast-prime-factorization-module

import random

## convert_daily_to_monthly.py
################################################################################################
#	name:	convert_daily_to_monthly.py
#	desc:	takes inout as daily prices and convert into monthly data
#	date:	2018-06-15
#	Author:	conquistadorjd
################################################################################################
import pandas as pd
import numpy as np

print('*** Program Started ***')

## pwd.js
{passwords:"123456,password,12345678,qwerty,123456789,12345,1234,111111,1234567,dragon,123123,baseball,abc123,football,monkey,letmein,shadow,master,696969,mustang,666666,qwertyuiop,123321,1234567890,pussy,superman,654321,1qaz2wsx,7777777,fuckyou,qazwsx,jordan,123qwe,000000,killer,trustno1,hunter,harley,zxcvbnm,asdfgh,buster,batman,soccer,tigger,charlie,sunshine,iloveyou,fuckme,ranger,hockey,computer,starwars,asshole,pepper,klaster,112233,zxcvbn,freedom,princess,maggie,pass,ginger,11111111,131313,fuck,love,cheese,159753,summer,chelsea,dallas,biteme,matrix,yankees,6969,corvette,austin,access,thunder,merlin,secret,diamond,hello,hammer,fucker,1234qwer,silver,gfhjkm,internet,samantha,golfer,scooter,test,orange,cookie,q1w2e3r4t5,maverick,sparky,phoenix,mickey,bigdog,snoopy,guitar,whatever,chicken,camaro,mercedes,peanut,ferrari,falcon,cowboy,welcome,sexy,samsung,steelers,smokey,dakota,arsenal,boomer,eagles,tigers,marina,nascar,booboo,gateway,yellow,porsche,monster,spider,diablo,hannah,bulldog,junior,london,purple,co

## separate_points.py
def lat_lon_hex_mesh(bounds, d=3):
    """Creates a hexagonal lat/lon mesh within bounds that has a radial separation of d"""

    lone, lonw, lats, latn = bounds

    # heigt of equilatral triangle from radial distance sqrt(r^2 - (r/2)^2)
    h = np.sqrt(0.75) * d
    w = d / 2

    lat_vals = np.arange(lats, latn, h)

## line_girl.rb
W = 500
H = 585
W1 = W - 1
H1 = H - 1

def setup
  @img = load_image '../scratch/girl.png'
  @img.filter BLUR, 3
  @img.load_pixels
end
	const restaurantOwnerOnlyMiddleware = (req, res, next) => {
	const {restaurantId} = req.params; // in this case, the id is part of the path
	const user = req.user; // available if you're using Google Firebase Authentication Middleware

	const hasPermission = (id, user) => true; // do your checks here instead

	if (!hasPermission(restaurantId, user)) {
	res.status(403).send("Unauthorized");
	return;
	}
	map(['🐮','🍠', '🐔', '🌽'], cook);
	=> ['🍔', '🍟', '🍗', '🍿'];

	filter(['🍔', '🍟', '🍗', '🍿'], isVegetarian);
	=> ['🍟', '🍿'];

	reduce(['🍔', '🍟', '🍗', '🍿'], eat);
	=> ['💩'];
	<!DOCTYPE html>
	<html>
	<head>
	<title>海德沙龙刷机包</title>
	<style>
	.node circle {
	fill: #fff;
	stroke: steelblue;
	stroke-width: 3px;
	}
	### JHW 2018
	import numpy as np
	import umap



	# This code from the excellent module at:
	# https://stackoverflow.com/questions/4643647/fast-prime-factorization-module

	import random
	################################################################################################
	# name: convert_daily_to_monthly.py
	# desc: takes inout as daily prices and convert into monthly data
	# date: 2018-06-15
	# Author: conquistadorjd
	################################################################################################
	import pandas as pd
	import numpy as np

	print('* Program Started *')
	def lat_lon_hex_mesh(bounds, d=3):
	"""Creates a hexagonal lat/lon mesh within bounds that has a radial separation of d"""

	lone, lonw, lats, latn = bounds

	# heigt of equilatral triangle from radial distance sqrt(r^2 - (r/2)^2)
	h = np.sqrt(0.75) * d
	w = d / 2

	lat_vals = np.arange(lats, latn, h)
	W = 500
	H = 585
	W1 = W - 1
	H1 = H - 1

	def setup
	@img = load_image '../scratch/girl.png'
	@img.filter BLUR, 3
	@img.load_pixels
	end