FlyingFathead

# async_tts.py, for `TTS` pypi package (also requires `pydub`)
# $ pip install -U tts pydub
#
# v0.02
# changes:
# - now uses pydub, normalizes audio
#
# performs a staggered execution / playback of the audio, 
# where the next chunk is being processed while the previous is still playing
#

FlyingFathead

#!/bin/bash
#
# 	>>> SCANLAN <<<
#
# this script can used for i.e. checking out what's on your LAN
# requires `nmap`, `xmlstarlet` and `lolcat` (just because)
# adjust to your own ip range as needed. 
# NO WARRANTIES, use only for your own LAN diagnostics and at your own risk
#
#

FlyingFathead

# v0.03 // added preformat sanitizer for hyphenation and other text formatting

import shutil
import sys
import os
import re

# print term width horizontal line
def hz_line(character='-'):
    terminal_width = shutil.get_terminal_size().columns

FlyingFathead

# requires the `transformers` package; please install with `pip -U install transformers`

import sys
from transformers import GPT2Tokenizer

def count_tokens(file_path):
    print(f"Counting the token count estimate for: {inputfile} ...", flush=True)
    tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
    try:
        with open(file_path, 'r', encoding='utf-8') as file:            

FlyingFathead

# requires `pdfminer.six`; install with `pip install -U pdfminer.six`

import sys
import os
from pdfminer.high_level import extract_text

def extract_pdf_text(pdf_file, output_file):
    if os.path.exists(output_file):
        print(f"File {output_file} already exists. Aborting to prevent overwriting.")
        return False

FlyingFathead

# requires `pyttsx3` -- install with:
# pip install -U pyttsx3

import tkinter as tk
from tkinter.scrolledtext import ScrolledText
import pyttsx3
import threading

class SpeechManager:
    def __init__(self):

FlyingFathead

# file under: laziness check, December 2023...

import torch
from torch.utils.data import Dataset
from numba import cuda
import numpy as np

# CPU function to generate Fibonacci numbers within uint64 range
def generate_fibonacci_numbers(max_length):
    fib_numbers = np.zeros(max_length, dtype=np.uint64)

FlyingFathead

# requires the pip `pycuda` package
# install it with: `pip install pycuda`

import pycuda.driver as cuda

cuda.init()

# Assuming you want to check the first GPU
device = cuda.Device(0)
compute_capability = device.compute_capability()

FlyingFathead

# print term-width horizontal line
function viivo() {
printf '%*s\n' "${COLUMNS:-$(tput cols)}" '' | tr ' ' - | lolcat -f ;
}

# find nvidia related troubles
function nvidiatroubleshoot() {
sudo echo ""
viivo &&
sudo dmesg | grep -i -e "nv-" -e "nvidia" -e "drm" &&

FlyingFathead

#!/bin/bash

# print a terminal-wide horizontal line with '-' characters
function hr_prn(){
printf '%*s\n' "${COLUMNS:-$(tput cols)}" '' | tr ' ' -
}

# Get the list of connected displays and their resolutions
DISPLAYS=($(xrandr | grep " connected" | awk '{print $1}'))
CURRENT_PRIMARY=$(xrandr --query | grep " connected primary" | awk '{print $1}')