clawtros

  L.HtmlSpriteIcon = L.Icon.extend({
    options: {
      /*
  spritesheet: (String) (required)
        animation: (String) (required)
	iconAnchor: (Point)
	popupAnchor: (Point)
      */
    },
    currentFrame: 0,

clawtros

import requests
import simplejson

def getactors():
    baseurl = 'http://en.wikipedia.org/w/api.php?cmtitle=Category:American_film_actors&action=query&list=categorymembers&cmlimit=500&cmprop=title|sortkey|timestamp&format=json'
    results = []
    cont = ""

    while True:
        r = requests.get(baseurl + cont)

clawtros

def dragon_generator():
    count = 0
    fold_index = 0
    curve = []
    while True:
        fold_index -= 1
        count += 1
        if fold_index < 0:
            fold_index = count - 1

clawtros

from nltk.corpus import cmudict

def char_range(c1, c2):
    for c in xrange(ord(c1), ord(c2)+1):
        yield chr(c)

candidates = [e for e in cmudict.entries() if e[0][0].lower() != e[1][0][0].lower()]
separated = {}
for l in char_range('a', 'z'):
    separated[l] = [e for e in candidates if e[0][0].lower() == l]

clawtros

import turtle
import math

turtle.clear()
turtle.setposition(0, 0)
turtle.speed("fastest")

for i in range(500): 
    turtle.left(math.sin(i / (2*math.pi)) * (180 / math.pi))
    turtle.forward(math.sqrt(i))

clawtros

import turtle
import math

MIN_X = -math.pi * 2
MIN_Y = -2
MAX_X = math.pi * 2
MAX_Y = 2
TURTLE_STEP = 0.1

clawtros

import sys

def is_valid(p):
    # words must be at least 3 characters
    padded = '1' + p + '1'
    return "101" not in padded and "1001" not in padded


def groups(size):
    current = ""

clawtros

'use strict';

function convolve(arr, vs, size, x, y) {
  const hl = parseInt(arr.length / 2);
  return arr.map((row, offY)=>row.map((m, offX)=>vs[indexOf(x + offX - hl, y + offY - hl, size)] * m))
}

function position(index, size) {
  return [Math.floor(index % size), Math.floor(index / size)]
}

clawtros

from bs4 import BeautifulSoup
import requests


url = "https://leapmanifesto.org/en/whos-on-board/"

soup = BeautifulSoup(requests.get(url).text)

signatories = {}
for signatory_container in soup.find_all("div", class_="section-wrap signatories"):

clawtros

    def shift_loss_fn(x):
        return x_tile_scale * tf.reduce_sum(tf.square(x)) / float(width) / float(height)

    x_tile_loss_layer = keras.layers.Lambda(
        shift_loss_fn,
        output_shape=lambda input_shape: [1]
    )
    x_tile_difference = keras.layers.add([pyramid_model.outputs[0], x_tile_shifter(pyramid_model.outputs[0])])