Russell Brian Fulache Dugaduga Jale Palma RussPalms

Tinder API documentation

Note: this was written in April/May 2014 and the API may has definitely changed since. I have nothing to do with Tinder, nor its API, and I do not offer any support for anything you may build on top of this. Proceed with caution

I've sniffed most of the Tinder API to see how it works. You can use this to create bots (etc) very trivially. Some example python bot code is here -> https://gist.github.com/rtt/5a2e0cfa638c938cca59 (horribly quick and dirty, you've been warned!)

Snapchat API

Base URL

https://snapchat-example-api.herokuapp.com/api/v1/

Notes

All endpoints accept JSON payloads for parameters
- Must include "Content-Type" HTTP header with value "application/json"
- All endpoints accept /users/authenticate require the X-Api-Token HTTP header

QEMU with VirtIO GPU Vulkan Support

With its latest reales qemu added the Venus patches so that virtio-gpu now support venus encapsulation for vulkan. This is one more piece to the puzzle towards full Vulkan support.

An outdated blog post on clollabora described in 2021 how to enable 3D acceleration of Vulkan applications in QEMU through the Venus experimental Vulkan driver for VirtIO-GPU with a local development environment. Following up on the outdated write up, this is how its done today.

Definitions

Let's start with the brief description of the projects mentioned in the post & extend them:

	//
	// GACarousel.swift
	// rpg
	//
	// Created by Chris Hodge on 3/4/25.
	//

	import SwiftUI
	import MetalKit

	from typing import Dict, Union
	from huggingface_hub import get_safetensors_metadata
	import argparse
	import sys

	# Example:
	# python get_gpu_memory.py Qwen/Qwen2.5-7B-Instruct

	# Dictionary mapping dtype strings to their byte sizes
	bytes_per_dtype: Dict[str, float] = {

	import asyncio
	import base64
	import json
	import os
	import pyaudio
	from websockets.asyncio.client import connect


	class SimpleGeminiVoice:
	def __init__(self):

	### JHW 2018
	import numpy as np
	import umap



	# This code from the excellent module at:
	# https://stackoverflow.com/questions/4643647/fast-prime-factorization-module

	import random

	library(geojsonsf)
	library(sf)
	library(rayrender)

	#Data source: https://github.com/telegeography/www.submarinecablemap.com
	cables = geojson_sf("cable-geo.json")

	cablescene = list()
	counter = 1
	for(i in 1:length(cables$geometry)) {

	#!/usr/bin/env bash
	#Install brew and qemu + cloud init metadata dependencies
	/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"
	brew install qemu
	brew install cdrtools

	rm -rf /tmp/ubuntuqemuboot

	#download Ubuntu 20.04 Cloud Image and resize to 30 Gigs
	mkdir -p /tmp/ubuntuqemuboot/images

	FROM python:3.5

	MAINTAINER Marlon Baptista de Quadros(marlonbaptista@hotmail.com)

	ENV PYTHONUNBUFFERED 1

	RUN apt-get update -y
	RUN apt-get -y install binutils libproj-dev gdal-bin postgresql-client python3-lxml
	RUN apt-get -y install libmemcached-dev