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<link rel="import" href="../chart-js/chart-js.html"> | |
<link rel="import" href="../cool-clock/cool-clock.html"> | |
<link rel="import" href="../core-input/core-input.html"> | |
<link rel="import" href="../paper-radio-button/paper-radio-button.html"> | |
<link rel="import" href="../paper-radio-group/paper-radio-group.html"> | |
<link rel="import" href="../google-map/google-map.html"> | |
<polymer-element name="my-element"> | |
<template> |
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(function() { | |
d3.geo.project = function(object, projection) { | |
var stream = projection.stream; | |
if (!stream) throw new Error("not yet supported"); | |
return (object && d3_geo_projectObjectType.hasOwnProperty(object.type) ? d3_geo_projectObjectType[object.type] : d3_geo_projectGeometry)(object, stream); | |
}; | |
function d3_geo_projectFeature(object, stream) { | |
return { | |
type: "Feature", | |
id: object.id, |
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import io | |
import sys | |
class IteratorFile(io.TextIOBase): | |
""" given an iterator which yields strings, | |
return a file like object for reading those strings """ | |
def __init__(self, it): | |
self._it = it | |
self._f = io.StringIO() |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<link href='https://fonts.googleapis.com/css?family=Press+Start+2P' rel='stylesheet' type='text/css'> | |
<title>brown</title> | |
<style type="text/css"> | |
html, body { | |
height: 100%; | |
background-color: brown; | |
margin: 0px; |
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import random | |
GOAT = 0 | |
CAR = 1 | |
TRIALS = 10**4 | |
def run_trial(switch=False): | |
choice = random.randint(0,2) | |
doors = [GOAT, GOAT, CAR] | |
random.shuffle(doors) |
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import random | |
class Foo(): | |
data = (random.randint(0, 1000) for x in range(10)) | |
last = None | |
def __iter__(self): | |
return self |
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""" provides latest_uw_data(), a generator which yields dictionary records of current | |
weather obs from UW ATG """ | |
from datetime import datetime,timedelta | |
from urllib import request | |
def latest_uw_data(): | |
url = "http://www.atmos.washington.edu/cgi-bin/latest_uw.cgi?data" | |
with request.urlopen(url) as f: |
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#!/usr/bin/env python | |
""" parses a JSON document on stdin, and prints to stdout the portion of the document | |
referenced by the Python getter substring given as the first argument. | |
This implementation uses eval(), so use with care! No warranty implied. | |
For example | |
$ curl 'http://api.duckduckgo.com/?q=ramen&format=json' 2> /dev/null | ~/bin/extract_data.py '["RelatedTopics"][0]["Text"]' |
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def floyd_steinberg_dither(data): | |
result = data.astype(np.float64) | |
fs_matrix = np.array( ( | |
( np.nan, np.nan, 7/16 ), | |
( 3/16, 5/16, 1/16), | |
), dtype=np.float64 ); | |
fs_mask = np.array( ( |
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def skeletonize(img): | |
""" OpenCV function to return a skeletonized version of img, a Mat object""" | |
# hat tip to http://felix.abecassis.me/2011/09/opencv-morphological-skeleton/ | |
img = img.copy() # don't clobber original | |
skel = img.copy() | |
skel[:,:] = 0 | |
kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (3,3)) |
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