flxai

import torch
import numpy as np
import matplotlib.pyplot as plt

from scipy.stats import wasserstein_distance
from emd import EMDLoss

def gaussian(x, mu, sig):
        return np.exp(-np.power(x - mu, 2.) / (2 * np.power(sig, 2.)))

flxai

#!/bin/bash
# Run a number of commands within tmux in a grid layout

# Session name
s=exp
# Command
c="for i in {1..10}; do echo -n .; sleep 1; done; read"

if tmux has-session -t $s 2>/dev/null; then
    echo "Session '$s' exists already, bailing out!"

flxai

flxai

flxai

#!/usr/bin/env python3
import re
import requests
import sys
import time

from bs4 import BeautifulSoup
from matplotlib.lines import Line2D

import numpy as np

flxai

#!/bin/bash
# Draws an endless carpet
# carpet [REPETITION] [FLICKER_MODE]
[[ $# -gt 0 ]] && s="$1" || s=4
[[ $# -gt 1 ]] && m="$2" || m=0
while :; do
    if [[ -z "$b" ]]; then
        p=$(pyceau -m "$m" -r 18+18 -d $(tput cols)x1 -s "$s")
    else
        p=$(pyceau -m "$m" -r 18+18 -d $(tput cols)x1 -s "$s" -b $b)

flxai

#!/usr/bin/env python3
# Send stuff to the landscape flipdot panel
from socket import *
from time import sleep

FD_ADDRESS = ('192.168.1.132', 1234)
SLEEP_S = 1.5
TEXT = ["1  flipdot", "2   hacker", "3  space", "4  kassel"]

while True:

flxai

Plot COVID-19 data on the city of Kassel. Data source is the city's own dedicated website which was scraped from a bot who posted changes in IRC. These changes have then been scraped again using some regexes:

echo 'day,time,county,total,total_rel,recovered,recovered_rel,infected,infected_rel,dead,dead_rel' > covid-ks-$(date -I).csv
grep -E 'Kassel (Stadt|Land):.+tot$' ~/.weechat/logs/irc.freenode.\#flipdot.weechatlog | sed -re 's/(,|\[psa\]|insgesamt|genesen|infiziert|tot|\)|\+|Kassel)//g' -e 's/@flipbot//' -e 's/(: )/ /g' -e 's/Stadt/0/' -e 's/Land/1/g' -e 's/(\s|\t|\(| )+/,/g' -e 's/,$//' >> covid-ks-$(date -I).csv

To see interactive plots, download the necessary libraries first:

flxai

flxai

#!/usr/bin/env python
# dfget gets URL and interprets interactively selected table as Pandas DataFrame

import inquirer
import requests
import sys
import IPython

import pandas as pd