ChuckJHardy

Install Gource

brew install gource

Convert Quicktime Movie to Animated Gif

ffmpeg -i in.mov -s 600x400 -pix_fmt rgb24 -r 10 -f gif - | gifsicle --optimize=3 --delay=3 > out.gif

Record Gource

eirikb

About

This is a bash script, as an example, on how to do click-testing GUI based on finding components based on how they look.

Dependencies

• opencv
• scrot
• findimage
• xdotool

lotabout

#!/usr/bin/env python
# -*- coding: utf-8 -*-

# translate utility that utilize google translator, support python2 & python3
# Note that the order or arguments in the URL matters.

try:
    from urllib import urlencode
except:
    from urllib.parse import urlencode

lrq3000

import dis
import types

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

chrisgorgo

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

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,...]

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

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
    """

flarb

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

public class SDKSwap : EditorWindow {

	static string _cardboardPath;
	static string _OVRPath;