jakekara

#!/usr/bin/env wolframscript

(* Recursively dump a list of files that match a given pattern *)
(* Very basic script to play with Wolfram outside of Notebooks *)
(* Jake Kara <jake@jakekara.com *)
(* Example usage:  *)
(* ./glob.wl "*.txt" *)

If[
    Length[$ScriptCommandLine] < 2, 

jakekara

"""
    Generate input files for aria2c.

    For examples and documentation: https://aria2.github.io/manual/en/html/aria2c.html#input-file
"""

import re


class Aria2cInputEntry:

jakekara

import numpy as np
import cv2

# use the crop_image() function at the bottom. The rest are pretty much helpers.
# works well enough with William Blake illuminated books that I didn't have to 
# try anything more sophisticated

def read_image(path):
    return cv2.cvtColor(cv2.imread(path), cv2.COLOR_RGB2BGR)

jakekara

# Download copies of illuminated texts from from Blake Archive

import json
import requests
from PIL import Image
from io import BytesIO
import os
from progress.bar import Bar

jakekara

while [ 1 = 1 ]; do if [ $(date +"%H") = "12" ]; then say LUNCH TIME; break; else echo NOT LUNCH TIME; sleep 60; fi; done

jakekara

#!/usr/bin/env bash
# print a pseudorandom string of 40 integers from command line
$(python -c "import random; print(''.join([str(random.randint(0,9)) for x in range(40)]))")

jakekara

import requests
import magic
import mimetypes

class Blob:

    def __init__(self,
                 blob_id,
                 base_url="http://www.newhavenct.gov/civicax/filebank/blobdload.aspx?blobid="):

jakekara

#!/usr/bin/env sh

#
# netyet.sh - check a site every minute until it's back online
# jake@jakekara.com
#
# usage: netyet.sh google.com
# 

# Read the site as the only command line arg 

jakekara

bash-3.2$ python sears-parts.py "door handle"
           WP8519336    Dryer door handle pad
             8519373    Dryer door handle screw hole plug (graphite)
             8519374    Dryer door handle screw hole plug (black)

jakekara

#!/usr/bin/env sh

#
# clean-mess.sh - Convert a SQL text output to CSV, for when 
# someone sends you SQL text output of a table instead of a CSV...
#
# Beware, this will not properly handle double spaces in a column
# because that wasn't an issue for the data I received.
#
# In this case, it just does every .mess file in a folder called data