monopoly go dice monopoly go dice monopoly go dice monopoly go dice
Discover gists
extends KinematicBody2D | |
export var move_speed = 200.0 | |
var velocity := Vector2.ZERO | |
export var jump_height : float | |
export var jump_time_to_peak : float | |
export var jump_time_to_descent : float |
TLDR: JWTs should not be used for keeping your user logged in. They are not designed for this purpose, they are not secure, and there is a much better tool which is designed for it: regular cookie sessions.
If you've got a bit of time to watch a presentation on it, I highly recommend this talk: https://www.youtube.com/watch?v=pYeekwv3vC4 (Note that other topics are largely skimmed over, such as CSRF protection. You should learn about other topics from other sources. Also note that "valid" usecases for JWTs at the end of the video can also be easily handled by other, better, and more secure tools. Specifically, PASETO.)
A related topic: Don't use localStorage (or sessionStorage) for authentication credentials, including JWT tokens: https://www.rdegges.com/2018/please-stop-using-local-storage/
The reason to avoid JWTs comes down to a couple different points:
- The JWT specification is specifically designed only for very short-live tokens (~5 minute or less). Sessions
The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.
In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.
This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.
- Open Chrome Developer tools and click the Network tab.
- Navigate to the page with the video and get it to start playing.
- Filter the list of files to "m3u8".
- Find master.m3u8 or index.m3u8 and click on it.
- Save the file to disk and look inside it.
- If the file contains a single m3u8 master url, copy that one instead.
- Run the program m3u8x.
- Paste the same m3u8 url in both textboxes (URL and Quality URL) and click "Headers" and set the referral url and user-agent from the request as found in Chrome.
Paprika doesn't have their API documented, so this is me reverse-engineering it from an Android device
Syncing an Ethereum node is largely reliant on IOPS, I/O Per Second. Budget SSDs will struggle to an extent, and some won't be able to sync at all.
This document aims to snapshot some known good and known bad models.
For size, 4TB comes recommended as of mid 2024. The smaller 2TB drive should last an Ethereum full node until early 2025 or thereabouts, with crystal ball uncertainty. Remy wrote a migration guide to 4TB.
High-level, QLC and DRAMless are far slower than "mainstream" SSDs. QLC has lower endurance as well. Any savings will be gone when the drive fails early and needs to be replaced.
This is how I make pebre, but here is another variant: https://www.youtube.com/watch?v=YP0TqSGeUiQ
- 4 large tomatoes or the correspoding amount of cherry tomatoes. Choose the tastiest. On large tomatoes, remove the insides to reduce water.
- 1 mild onion (red, shallot, silver etc)
- 2 garlic cloves
- 2 limes (or lemon)
- 1-2 chillies (or sambal oelek), to taste.
- 1/2 dl red wine vinegar
- Lots (1 pot, a handful, or 100-200 grams?) of koriander/cilantro.