Adapting d3.geo.tile to show OpenStreetMap vector tiles. See also the static example.
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#!/usr/bin/env python3 | |
import argparse | |
import random | |
import sys | |
DEFAULT_PERCENTAGE = 40 | |
def randcaps(text: str, percentage: float = DEFAULT_PERCENTAGE) -> str: |
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#!/usr/bin/env python3 | |
# Dirty tiles in a specified area in OpenStreetMap | |
import argparse | |
import datetime | |
import decimal | |
import email.utils | |
import math | |
import re |
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# Copyright (C) 2019 Chris Lawrence | |
# You may freely modify, copy, and reuse this software under the terms of the MIT License. | |
def test_bitmask(value: int, mask: str) -> bool: | |
mask = mask.replace("_", "") | |
testval: int = 1 | |
for bit in reversed(mask): | |
if bit == '1' and not (value & testval): | |
return False | |
elif bit == '0' and (value & testval): |
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-- Tested on macOS 10.14.5 | |
use scripting additions | |
using terms from application "Mail" | |
on perform mail action with messages messageList -- in mailboxes mbox for rule aRule | |
-- Must be in your Downloads folder or a subfolder in recent macOS versions | |
set destinationPath to (POSIX file "/Users/quango/Downloads/enrollment/") as string | |
tell application "Mail" |
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#!/usr/bin/env python3 | |
# Get 'fdkaac' from https://github.com/nu774/fdkaac (or Homebrew etc.) | |
import glob | |
import subprocess | |
import sys | |
import os | |
def convert_file(filename, trackcount): |
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library(ggmap) | |
library(plyr) | |
library(sp) | |
library(geosphere) | |
library(doMC) | |
registerDoMC() | |
allcells <- data.frame() | |
for(cell in list.files(pattern="^cellinfolte.*[.]csv$")) { |
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#!/usr/bin/env python3.6 | |
import string | |
import secrets | |
while True: | |
password = secrets.randbelow(100000000000000000) | |
if password >= 100000000000: | |
break |
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#!/usr/bin/env python3 | |
import sys | |
import subprocess | |
import json | |
import os | |
# Supported by Chrome OS according to https://www.chromium.org/audio-video | |
ACCEPTABLE_VIDEO=('theora', 'vp8', 'vp9', 'h264', 'mpeg4') |
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## Note: we're assuming each grade should be weighted equally here. | |
dropmean <- function(x, drop=2) { | |
count <- length(x)-drop | |
round(sum(sort(x, decreasing=TRUE)[seq(1, count)], na.rm=T)/count, 2) | |
} | |
## Same formula for multiple sections; note list.files uses a regex pattern, not a glob pattern | |
infiles <- list.files(pattern='^gradebook-quizzes-[0-9]+\\.csv$') | |
for(filename in infiles) { |
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