llimllib

#!/usr/bin/env bash

# import an MS SQL .bak backup file to an MS SQL database, then export all
# tables to csv. run this script as `import.sh <filename>`. It expects to be
# run in the same directory as the backup file.

# this is only tested on my mac (OS X Catalina). I tried to stick to posix, but
# It will probably require some tweaking for you. I hope it gives a general
# sense of what you need to do at the very least.

llimllib

#!/usr/bin/env bash
# many settings from https://raw.githubusercontent.com/mathiasbynens/dotfiles/master/.macos
# many settings from https://raw.githubusercontent.com/thoughtbot/laptop/master/mac
# instructions on finding the default you've changed: https://pawelgrzybek.com/change-macos-user-preferences-via-command-line/
# previous install notes at:
# https://gist.github.com/llimllib/ee591266e05bd880629a4e7511a61bb3
# https://gist.github.com/llimllib/e864a92da94ceb1ef0da2e06fd1f8d70
# https://gist.github.com/llimllib/3fc4fefcfc0152dad8c58201246d8802
#
# this script's URL is: https://gist.github.com/llimllib/c4dd0a98a426022b0365d4c0a9090460

llimllib

#!/usr/bin/env bash
# many settings from https://raw.githubusercontent.com/mathiasbynens/dotfiles/master/.macos
# many settings from https://raw.githubusercontent.com/thoughtbot/laptop/master/mac
# instructions on finding the default you've changed: https://pawelgrzybek.com/change-macos-user-preferences-via-command-line/
# previous install notes at:
# https://gist.github.com/llimllib/ee591266e05bd880629a4e7511a61bb3
# https://gist.github.com/llimllib/e864a92da94ceb1ef0da2e06fd1f8d70

fancy_echo() {
  local fmt="$1"; shift

llimllib

#!/usr/bin/env bash
# many settings from https://raw.githubusercontent.com/mathiasbynens/dotfiles/master/.macos
# many settings from https://raw.githubusercontent.com/thoughtbot/laptop/master/mac
# instructions on finding the default you've changed: https://pawelgrzybek.com/change-macos-user-preferences-via-command-line/
# previous install notes at:
# https://gist.github.com/llimllib/ee591266e05bd880629a4e7511a61bb3
# https://gist.github.com/llimllib/e864a92da94ceb1ef0da2e06fd1f8d70
# https://gist.github.com/llimllib/aa4420cac617774ee2a54d8603d862e4

fancy_echo() {

llimllib

#!/usr/bin/env bash
#
# Installation (OS X):
#
# - save this file as "gpt" somewhere in your path
# - get an openai api key at: https://platform.openai.com/account/api-keys
# - save the openai api key to your keychain with:
#     security add-generic-password -s 'openai' -a '<account name>' -w '<api key>'
# - If you don't already have `jq`, install it with `brew install jq` or whatever
#

llimllib

from collections import UserList
from functools import partial
from operator import add

# a class that allows a subclass to declare a function to use to handle all protocols
class CustomApplyList(UserList):
    def __init__(self, f, args):
        super().__init__(args)
        self.f = f

llimllib

# https://voidlinux.org/usage/xbps/ is a handy site for docs that isn't linked
# from the docs page, for whatever reason. Gives good xbps-* examples

# install non-free repository:
sudo xbps-install void-repo-nonfree

# update the system; all installs failed before this:
sudo xbps-install -Su

# xbps is hard to type. Add these aliases to your bashrc if xbps-install is

llimllib

#!/usr/bin/env bash
set -euo pipefail

function usage {
    cat <<"EOF"
gif.sh [-rv] image.gif

display image.gif on your tidbyt. Assumes you have `pixlet` installed, and that
the device you want to display it on is the first in the list of `pixlet
devices`

llimllib

import json
from pprint import pprint as pp

def jenks_matrices_init(data, n_classes):
    #fill the matrices with data+1 arrays of n_classes 0s
    lower_class_limits = []
    variance_combinations = []
    for i in xrange(0, len(data)+1):
        temp1 = []
        temp2 = []

llimllib

# download_all_emoji.py: A script to query the slack API for all emojis on a 
# given instance, and then download them into an "emojis" folder
#
# USAGE
#
#   first, set a `SLACK_TOKEN` environment variable to a token that has 
#   `emoji:read` permission. Then, run this script with 
#   `python download_all_emoji.py`.
#
#   it does not run in parallel, so it may take a while. Are you really