jstn

/*
    var t = Timer()
    
    t.start()
    // do something
    t.stop()

    print("took \(t.seconds)")
*/

markandrewj

# ----------------------
# Status Bar
# -----------------------
set-option -g status on                # turn the status bar on
set -g status-utf8 on                  # set utf-8 for the status bar
set -g status-interval 5               # set update frequencey (default 15 seconds)
set -g status-justify centre           # center window list for clarity
# set-option -g status-position top    # position the status bar at top of screen

# visual notification of activity in other windows

jedi4ever

Some notes on remote debugging mac builds on Travisci.  It's hard to tell when something hangs what the cause it. Trial and error via commits is tedious. And on Mac , sometimes it's the gui asking for input. So I worked my around to get the access I needed for faster debugging a build.

#################################################
# Enable remote ssh access to travisci build for debugging
#################################################
# Add a key so we can login to travisci vm
- cat ssh/travisci.pub >> ~/.ssh/authorized_keys
- chmod 600 ssh/travisci
  
# Install netcat

joferkington

import numpy as np
import matplotlib.pyplot as plt

class DrawDragPoints(object):
    """
    Demonstrates a basic example of the "scaffolding" you need to efficiently
    blit drawable/draggable/deleteable artists on top of a background.
    """
    def __init__(self):
        self.fig, self.ax = self.setup_axes()

johnhany97

Create a file with this:

#!/bin/bash

oldtext=$1
newtext=$2
pdffile=$3

cp $pdffile $pdffile.bak
pdftk $pdffile output $pdffile.tmp uncompress

imneme

/*
 * Random-Number Utilities (randutil)
 *     Addresses common issues with C++11 random number generation.
 *     Makes good seeding easier, and makes using RNGs easy while retaining
 *     all the power.
 *
 * The MIT License (MIT)
 *
 * Copyright (c) 2015-2022 Melissa E. O'Neill
 *

GOFAI

class Deepcl < Formula
  desc "OpenCL library to train deep convolutional neural networks"
  homepage "https://github.com/hughperkins/DeepCL"
  url "https://github.com/hughperkins/DeepCL/archive/v8.1.3.tar.gz"
  sha256 "e0301ba5ae4464ae27a3ec2c777b77faa90b9ee6d1059b200f06a9100d182de1"

  resource "EasyCL" do
    url "https://github.com/hughperkins/EasyCL/archive/b9023cdf25c10524ad06227275d3756bbe0c0ed2.tar.gz"
    sha256 "96c6061385e850081cfce17673353b41dbf470fc6b6f3a15e047b1d6506ba80e"
  end

hfreire

# Install QEMU OSX port with ARM support
sudo port install qemu +target_arm
export QEMU=$(which qemu-system-arm)

# Dowload kernel and export location
curl -OL \
https://github.com/dhruvvyas90/qemu-rpi-kernel/blob/master/kernel-qemu-4.1.7-jessie
export RPI_KERNEL=./kernel-qemu-4.1.7-jessie

# Download filesystem and export location

marians

This is an unofficial manual for the couchdb Python module I wish I had had.

Installation

pip install couchdb

Importing the module

hugke729

# Example animations using matplotlib's FuncAnimation
# Ken Hughes. 18 June 2016.

# For more detail, see
# https://brushingupscience.wordpress.com/2016/06/21/matplotlib-animations-the-easy-way/

# Examples include
#    - line plot
#    - pcolor plot
#    - scatter plot