tiarno

PDF Testing Gist

These two files, pdf_linkchecker.py and pdf_fontchecker.py are code examples to go along with a blog article: http://reachtim.com/articles/PDF-Testing.html

See the article for details on how to test your PDFs for broken internal and external links and for unembedded fonts.

Zulko

"""
This creates the following GIF, where the text appears to be "embedded"
in the video and "disappears" behind rapunzel.

http://i.imgur.com/gxEHfLX.gif
"""

from moviepy.editor import *
import numpy as np
import skimage.morphology as skm

angstwad

import collections

def dict_merge(dct, merge_dct):
    """ Recursive dict merge. Inspired by :meth:``dict.update()``, instead of
    updating only top-level keys, dict_merge recurses down into dicts nested
    to an arbitrary depth, updating keys. The ``merge_dct`` is merged into
    ``dct``.

    :param dct: dict onto which the merge is executed
    :param merge_dct: dct merged into dct

flarb

using UnityEngine;
using System.Collections;
using UnityEditor;
using System.IO;

public class SDKSwap : EditorWindow {

	static string _cardboardPath;
	static string _OVRPath;

StuartGordonReid

def get_probability(self, d, y, x, n, c):
    """
    This gets the probability of drop / pickup for any given Datum, d
    :param d: the datum
    :param x: the x location of the datum / ant carrying datum
    :param y: the y location of the datum / ant carrying datum
    :param n: the size of the neighbourhood function
    :param c: constant for convergence control
    :return: the probability of
    """

StuartGordonReid

import os
import math
import time
import numpy
import pandas
import random
import matplotlib
import numpy.random as nrand
import matplotlib.pylab as plt
from sklearn.preprocessing import normalize

mciantyre

"""
A script to take all of the LineString information out of a very large KML file. It formats it into a CSV file so
that you can import the information into the NDB of Google App Engine using the Python standard library. I ran this
script locally to generate the CSV. It processed a ~70 MB KML down to a ~36 MB CSV in about 8 seconds.

The KML had coordinates ordered by
    [Lon, Lat, Alt, ' ', Lon, Lat, Alt, ' ',...]   (' ' is a space)
The script removes the altitude to put the coordinates in a single CSV row ordered by
    [Lat,Lon,Lat,Lon,...]

danstowell

#!/usr/bin/env python

# Simple example of Wiener deconvolution in Python.
# We use a fixed SNR across all frequencies in this example.
#
# Written 2015 by Dan Stowell. Public domain.

import numpy as np
from numpy.fft import fft, ifft, ifftshift

chrisgorgo

lrq3000

import dis
import types

def getFuncByName(fname):
    possibles = globals().copy()
    possibles.update(locals())
    f = possibles.get(fname)
    if f:
        return f
    else: