| [package] | |
| name = "mapactix" | |
| version = "0.1.0" | |
| edition = "2021" | |
| [dependencies] | |
| actix-web = "4.9.0" | |
| futures = "0.3.31" | |
| phf = {version = "0.11.2", features = ["macros"]} |
| /// This script will generate 3D objects of word tags for language learning purposes | |
| scale([3,3,3]) { | |
| // word values | |
| word = "心配-しんぱい"; | |
| word_h = 1; | |
| font_size = 4; | |
| // base values | |
| base = 4; | |
| height = 0.5; | |
| linear_extrude(height = word_h) |
| # cat ~/.config/systemd/user/xpra.service | |
| [Unit] | |
| Description=xpra user service | |
| [Service] | |
| Type=simple | |
| ExecStart=/usr/bin/xpra start-desktop --no-daemon --resize-display="1920x1080" --start-child=cinnamon-session-cinnamon | |
| [Install] | |
| WantedBy=default.target |
| function Get-DNSDebugLog | |
| { | |
| <# | |
| .SYNOPSIS | |
| This cmdlet parses a Windows DNS Debug log with details. | |
| Author: @jarsnah12 | |
| License: BSD 3-Clause | |
| Required Dependencies: None | |
| Optional Dependencies: None |
| import re | |
| import subprocess | |
| from os.path import exists | |
| # Ask the user for the CIDR range to scan | |
| cidr_range = input("Enter the CIDR range to scan (e.g., '10.10.4.0/22'): ") | |
| if cidr_range == "": | |
| cidr_range = "10.10.4.0/22" | |
| if not exists("./scan.txt"): | |
| try: |
| # M3U to Samsung SMPL Playlist Converter | |
| # Written by ChatGPT | |
| # This script converts an M3U playlist file to the Samsung SMPL format. It reads an M3U file, extracts file paths, | |
| # and generates a Samsung SMPL JSON file with a "members" array, where each item represents a file from the M3U playlist. | |
| # Samsung SMPL format is old but used in the samsung music app here: https://github.com/AyraHikari/SamsungMusicPort | |
| import json | |
| import json |
| #include <iostream> | |
| #include <fstream> | |
| #include <curl/curl.h> | |
| // g++ -o test test.cpp -lcurl | |
| // Callback function to write data to a file | |
| size_t WriteCallback(void* contents, size_t size, size_t nmemb, void* userp) | |
| { | |
| size_t totalSize = size * nmemb; | |
| std::ofstream* fileStream = static_cast<std::ofstream*>(userp); |
| #!/bin/bash | |
| # Assuming this Wallpapers folder is a nas mount | |
| IMAGE_DIR="/home/user/Wallpapers/cats/" | |
| TMP_DIR="/tmp/wallpapers" | |
| NUM_IMAGES=20 | |
| # Create temporary directory if it doesn't exist | |
| mkdir -p $TMP_DIR | |
| # Check if the temporary directory is empty |
Usecase -> not able to port forward in your network.
Assumptions:
12345 is the mc server's port that its opening on the remote server (25565).
User mc is the user on the minecraft server.
User minecraft is the user on the cloud SSH server.
If you have fail2ban installed, make sure to add the following to /etc/fail2ban/jail.local:
This assumes you're using a Linux system (or WSL) with modern python3 and sox.
First, download the stream(s) you want to use for the dataset. The requirements are, it must be as clean as possible, and primarily the target voice talking a ton. Streams like Minecraft streams tend to be ideal. (This uses yt-dlp)
Use the command below to download the stream(s):
yt-dlp -f ba -x --audio-format "wav" --audio-quality 0 --embed-metadata https://youtu.be/omegalul
Once you have the stream, you'll need to split it into multiple files because it's too computationally hard to process a 3 hour stream. Use the command below to split the file based off of the silence it detects. This may result in longer files if the background sounds/music are as loud as the speech in the source. This command assumes the input stream is input.wav:
sox -V3 input.wav split.wav silence 1 5.0 0.1% 1 0.3 0.1% : newfile : restart
