muety

# before: https://anchr.io/i/1NQ3x.png
# after: https://anchr.io/i/iMkiK.png

# script is interactive
# it will first fetch all broken products and then ask you for confirmation before actually updating them

import re
import sys
from typing import Tuple, Set, List, Any, Dict
import requests

muety

import time

if __name__ == '__main__':
    while True:
        with open('/sys/class/power_supply/BAT0/current_now', 'r') as f:
            current = float(f.readline().strip())
        with open('/sys/class/power_supply/BAT0/voltage_now', 'r') as f:
            voltage = float(f.readline().strip())

        print(f'{current * voltage / 1000000000000} W', end='\r')

muety

http://localhost:8080 {
	@get method GET
	@propfind method PROPFIND

	root * /tmp/data

	# TODO: add basic auth for DELETE, PROPPATCH, LOCK, etc.
	# TODO: add matchers so uploaded file keys must be uuids

	route {

muety

Script that will trigger a local to remote sync when any changes below your local Google Drive folder occur - but at max. every 10 minutes - and a remote to local sync every x (e.g. 30 minutes) via a cron job.

0. Install rclone and configure it for Google Drive
1. Create files listed below
2. Configure rclone_watch_local.sh to be run on startup (e.g. using a systemd service unit)
3. Add a cron job that runs rclone_remote2local.sh every x (e.g. 30) minutes

----------------------
rclone_local2remote.sh
----------------------

muety

// Reboot after 5 minutes of disconnect
let wait_sec = 30;
let retries = 10;

let c = 0;
let timer = Timer.set(wait_sec * 1000, true, function () {
  Shelly.call('WiFi.GetStatus', null, function (result, error_code) {
    if (result.status !== 'got ip') {
      if (c++ < retries) {
        print('wifi not connected, waiting another', (retries - c) * wait_sec, 'seconds until reboot');

muety

# run with gunicorn:
# gunicorn --preload --workers 4 --worker-class=uvicorn.workers.UvicornWorker app.main:app
# ('preload' is the important bit here)
# alternatively, set GUNICORN_CMD_ARGS='--preload'

import ctypes
import multiprocessing as mp

from fastapi import FastAPI

muety

import time
import multiprocessing
import numpy as np
from sklearn.model_selection import ParameterGrid

import qcartpole

N_RUNS = 10

grid_params = {

muety

<?php 
$data = file_get_contents('php://input');
$json = json_decode($data);

header("Content-type: application/json");

if ($json->_type !== 'location') {
    return;
}

muety

#!/usr/bin/python

# TODO: https://stackoverflow.com/a/58840987/3112139

import os
import stat
import time
import logging
import asyncio
from dataclasses import dataclass

muety

# Inspired by https://keon.io/deep-q-learning/

import random
import gym
import math
import numpy as np
from collections import deque
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam