rene-d

[package]
name = "pcape"
version = "0.1.0"
edition = "2024"

[dependencies]

[[bin]]
name = "pcape"
path = "pcape.rs"

rene-d

#!/usr/bin/env python3


import os
import typing as t
from dataclasses import dataclass
from pathlib import Path

import gpxpy.gpx
import matplotlib.pyplot as plt

rene-d

#!/usr/bin/env python3

"""
Command-line tool to write a disk image on a USB device with macOS.

Exactly like [etcher](https://etcher.balena.io), [rpi-imager](https://github.com/raspberrypi/rpi-imager),
[rufus.ie](https://rufus.ie), [UNetbootin](https://unetbootin.github.io), etc.
No frills, no freaks, much simple and so more efficient.

Unix has the right tool for over 50 years: [`dd`](https://en.wikipedia.org/wiki/Dd_(Unix)). Sorry folks and

rene-d

#!/usr/bin/env bash

# https://en.wikipedia.org/wiki/ANSI_escape_code


print_colors()
{
    # Print column headers.
    printf "%-4s    " '' ${bgs[@]}
    echo

rene-d

#!/usr/bin/env python3

from curses import wrapper
from math import pi, sin, cos


def bresenham(x0, y0, x1, y1):
    """
    Bresenham's line algorithm.
    Yield integer coordinates on the line from (x0, y0) to (x1, y1).

rene-d

#!/usr/bin/env python3

"""
Read terminal properties and imgcat in Python.

References:
    https://en.wikipedia.org/wiki/ANSI_escape_code
    https://iterm2.com/documentation-escape-codes.html
    https://iterm2.com/documentation-images.html
"""

rene-d

#!/usr/bin/env python3

# Chromium-like browsers cache viewer (Linux, macOS)

import argparse
import binascii
import struct
from datetime import datetime
from pathlib import Path
import traceback

rene-d

convmv manpage

Install convmv if you don't have it

sudo apt-get install convmv

Convert all files in a directory from NFD to NFC:

convmv -r -f utf8 -t utf8 --nfc --notest .

rene-d

#!/usr/bin/env python3

from tkinter import Tk, Canvas, Frame, BOTH
from typing import List
import random


root = Tk()
root.geometry("600x600")
f = Frame()

rene-d

#!/usr/bin/env python3

# The Dog problem
# https://en.wikipedia.org/wiki/Pursuit_curve

import subprocess
from tkinter import Tk, Canvas, Frame, BOTH
import numpy as np
from PIL import Image
from pathlib import Path