auser

use async_trait::async_trait;
use chrono::Local;
use graph_flow::{
    Context, ExecutionStatus, FlowRunner, GraphBuilder, GraphStorage, InMemoryGraphStorage,
    InMemorySessionStorage, NextAction, Session, SessionStorage, Task, TaskResult,
};
use image::{ImageBuffer, Rgb};
use minifb::{Key, Window, WindowOptions};
use nokhwa::{
    pixel_format::RgbFormat,

a-agmon

use async_trait::async_trait;
use chrono::Local;
use graph_flow::{
    Context, ExecutionStatus, FlowRunner, GraphBuilder, GraphStorage, InMemoryGraphStorage,
    InMemorySessionStorage, NextAction, Session, SessionStorage, Task, TaskResult,
};
use image::{ImageBuffer, Rgb};
use minifb::{Key, Window, WindowOptions};
use nokhwa::{
    pixel_format::RgbFormat,

levelsio

# 2023-11-27 MIT LICENSE

Here's the open source version of my ChatGPT game MonkeyIslandAmsterdam.com.

It's an unofficial image+text-based adventure game edition of Monkey Island in Amsterdam, my home town.

Please use it however you want. It'd be nice to see more ChatGPT-based games appear from this. If you get inspired by it, please link back to my X https://x.com/levelsio or this Gist so more people can do the same!

Send me your ChatGPT text adventure game on X, I'd love to try it!

VictorTaelin

Notes on this tweet.

• The screenshots were taken on different sessions.

• The entire sessions are included on the screenshots.

• I lost the original prompts, so I had to reconstruct them, and still managed to reproduce.

• The "compressed" version is actually longer! Emojis and abbreviations use more tokens than common words.

terjanq

<!--
This was a sandboxing challenge where the JS language is presenteded in the form of exotic, made-up language. 
It's almost properly sandboxed but there is one bug that players needed to find. 
The bug I found was to construct HTML comment (<!--) that is understood by JS and which makes it possible to ignore one semicolon 
and then to concat array expression with variable name, like $var$['eval']. To get reference to eval we used DOM clobbering
and defined <iframe name=$win$>
-->

<iframe name=$win$></iframe>
<x-program>

nateraw

"""
Built on top of this gist by @karpathy:
https://gist.github.com/karpathy/00103b0037c5aaea32fe1da1af553355

stable diffusion dreaming over text prompts
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:
$ python stable_diffusion_walk.py --prompts "['blueberry spaghetti', 'strawberry spaghetti']" --seeds 243,523 --name berry_good_spaghetti

sts10

A curated list of command-line utilities written in Rust

Note: I have moved this list to a proper repository. I'll leave this gist up, but it won't be updated. To submit an idea, open a PR on the repo.

Note that I have not tried all of these personally, and cannot and do not vouch for all of the tools listed here. In most cases, the descriptions here are copied directly from their code repos. Some may have been abandoned. Investigate before installing/using.

The ones I use regularly include: bat, dust, fd, fend, hyperfine, miniserve, ripgrep, just, cargo-audit and cargo-wipe.

• atuin: "Magical shell history"
• bandwhich: Terminal bandwidth utilization tool

anvbis

Pwntools Cheatsheet

1. Program Interaction
2. Environment and Contexts
3. Logging and Output
4. Encoding, Packing and Utility
5. Assembly and Shellcraft
6. ELFs, Strings and Symbols
7. Return Oriented Programming
8. SROP and Sigreturn Frames

ferdinandosimonetti

apiVersion: operator.tigera.io/v1
kind: Installation
metadata:
  name: default
spec:
  # Configures Calico networking.
  calicoNetwork:
    # Note: The ipPools section cannot be modified post-install.
    ipPools:
    - blockSize: 26

githubfoam

#check if pytorch is using the GPU

python -c 'import torch; print(torch.cuda.is_available())' #should print True
python -c 'import torch; print(torch.rand(2,3).cuda())'

watch -n 2 nvidia-smi

=========================================================================
import torch
dev = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")