wolph

Enhanced Toastr Notification Library

Version: 2.1.4
Built for modern web applications with extended notification API functionality.

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Overview

The Enhanced Toastr Notification Library is a lightweight, flexible, and developer-friendly solution for displaying notifications in your web applications. Building on the legacy of Toastr.js, this modified version returns a rich notification API object with methods for dynamic updates and programmatic control. The library adheres to modern JavaScript best practices, supporting asynchronous operations, streamlined debugging, and modular configuration.

wolph

GMStorage – Advanced Storage Utility for Userscripts

The GMStorage class is an advanced wrapper for Greasemonkey, Tampermonkey, or Violentmonkey storage APIs. It streamlines persistent data management by offering a natural JavaScript object interface with built-in synchronization across tabs, deep object update detection, and robust merging of default values.

Key Features:

• Natural Read/Write Operations:
  Access and update storage keys as if they were object properties.

• Deep Proxying for Nested Updates:

wolph

#!/usr/bin/env python3
"""
Script to split existing nginx logs per year/month with verbose output.

This script accepts a configurable directory (defaulting to the current working
directory) of nginx logs. It looks for files named <domain>.access_log and
<domain>.error_log. Each log line is expected to contain a timestamp inside
square brackets, e.g., [10/Oct/2000:13:55:36 -0700]. The script extracts the
date and writes each line into a separate file under a subdirectory formatted
as YYYY-MM.

wolph

#!/usr/bin/env python3

import argparse
import ast
import asyncio
import difflib
import logging
import os
import pathlib
import re

wolph

#!/usr/bin/env python3

import argparse
import configparser
import os
import re
import shlex
import sys

from typing import Any

wolph

import string
import persist

var PERSIST_VERSION = 2
var PIXEL_COUNT = 28
var BUTTON_COUNT = size(tasmota.get_power()) - 1
var LEDS = {
  2: {
    0: [11, 20],

wolph

// ==UserScript==
// @name         Albert Heijn Korting Updated (with Promotion Parsing)
// @namespace    https://wol.ph/
// @version      1.0.6
// @description  Add price per unit and discount percentage to products and promotion cards (updated for new page structures)
// @author       wolph
// @match        https://www.ah.nl/*
// @icon         https://icons.duckduckgo.com/ip2/ah.nl.ico
// @grant        none
// @license      BSD

wolph

'''
Use an influxdb query like this to fetch the data and store it as `meterstanden.csv`:
```
SELECT max("value") FROM "m3" WHERE ("entity_id"::tag = 'gas_consumption') AND $timeFilter GROUP BY time(1d) fill(linear)
```
'''
import pandas as pd
import json
import requests
import progressbar

wolph

#!/usr/bin/env python -u
import os
import re
import sys
import itertools
import contextlib
import subprocess

sys.stdout.reconfigure(line_buffering=True)

wolph

light:
  - platform: neopixelbus
    type: GRB
    variant: WS2812
    pin: GPIO1
    num_leds: 1
    name: "NeoPixel 1"
    internal: true
  - platform: neopixelbus
    type: GRB