astromme

import kotlin.system.measureTimeMillis

fun test_permutations() {
    val list = listOf<Int>(1, 2, 3)
   	val truth_permutations = listOf<List<Int>>(
    	listOf<Int>(1, 2, 3),
        listOf<Int>(2, 1, 3),
        listOf<Int>(3, 1, 2),
        listOf<Int>(1, 3, 2),
        listOf<Int>(2, 3, 1),

astromme

#!/bin/bash

# assuming convert.sh is in the folder you want the new images to be in,
# and the source images are one level up, then run with:
# ./convert_for_screensaver.sh ../*.{JPG,jpg}

# each copy shows for about 5 seconds, so 120 copies is about 6 minutes per slide
copies=120

num=1

astromme

#!/bin/bash

# assuming convert.sh is in the folder you want the new images to be in,
# and the source images are one level up, then run with:
# ./convert.sh ../*.{JPG,jpg}

# each copy shows for about 5 seconds, so 120 copies is about 6 minutes per slide 
copies=120

# my external monitor is 2560x1440. change this as needed for full-bleed images

astromme

import tensorflow as tf

## Tensorflow image translation op
# images:        A tensor of shape (num_images, num_rows, num_columns, num_channels) (NHWC),
#                (num_rows, num_columns, num_channels) (HWC), or (num_rows, num_columns) (HW).
# tx:            The translation in the x direction.
# ty:            The translation in the y direction.
# interpolation: If x or y are not integers, interpolation comes into play. Options are 'NEAREST' or 'BILINEAR'
def tf_image_translate(images, tx, ty, interpolation='NEAREST'):
    # got these parameters from solving the equations for pixel translations

astromme

// Credit goes to https://github.com/yeoman/generator-chrome-extension
// Reload client for Chrome Apps & Extensions.
// The reload client has a compatibility with livereload.
// WARNING: only supports reload command.

var LIVERELOAD_HOST = 'localhost:';
var LIVERELOAD_PORT = 35729;
var connection = new WebSocket('ws://' + LIVERELOAD_HOST + LIVERELOAD_PORT + '/livereload');

connection.onerror = function (error) {

astromme

import random
import numpy as np
from shapely.geometry import Point
from shapely.geometry.polygon import Polygon

points = [
    [0, 0],
    [0, 1],
    [1, 0],
    [1, 1]

astromme

#!/bin/bash

INPUT_DIR="."
INPUT_FILE_EXTENSION=".flac"
BITRATE="320k"
OUTPUT_DIR="MP3"
OUTPUT_FILE_EXTENSION=".mp3"
N_PARALLEL=4

find "$INPUT_DIR" -print0 | xargs -0 -n 1 -P $N_PARALLEL sh -c 'ffmpeg -i "$1" -ab $BITRATE "$OUTPUT_DIR/${1%$INPUT_FILE_EXTENSION}$OUTPUT_FILE_EXTENSION"' sh