edvakf

#!/usr/bin/python
class List(list):
    def dup(self):
        def _dup(lst,ancestors):
            for orig,copy in ancestors:
                if lst == orig:
                    return copy
            copy = lst[:]
            _ancestors = ancestors+[(lst,copy)]
            for i,x in enumerate(copy):

pib

from string import whitespace

atom_end = set('()"\'') | set(whitespace)

def parse(sexp):
    stack, i, length = [[]], 0, len(sexp)
    while i < length:
        c = sexp[i]

        print c, stack

eiennohito

#include <iostream>

#include <vector>
#include <random>
#include <chrono>
#include <popcntintrin.h>

#include <stdlib.h>

std::vector<int> fill_vector(long size) {

eiennohito

#!/usr/bin/env python

from optparse import OptionParser
import re
from os import execvp

parser = OptionParser()

parser.add_option('-i', action="store_const", dest='mode', const='i')
parser.add_option('-m', action="store_const", dest='mode', const='m')

adriaandens

XSS-game by Google

Welcome, recruit! Cross-site scripting (XSS) bugs are one of the most common and dangerous types of vulnerabilities in Web applications. These nasty buggers can allow your enemies to steal or modify user data in your apps and you must learn to dispatch them, pronto!

At Google, we know very well how important these bugs are. In fact, Google is so serious about finding and fixing XSS issues that we are paying mercenaries up to $7,500 for dangerous XSS bugs discovered in our most sensitive products.

In this training program, you will learn to find and exploit XSS bugs. You'll use this knowledge to confuse and infuriate your adversaries by preventing such bugs from happening in your applications.

There will be cake at the end of the test.

Birch-san

Install HF Code Autocomplete VSCode plugin.

We are not going to set an API token. We are going to specify an API endpoint.
We will try to deploy that API ourselves, to use our own GPU to provide the code assistance.

We will use bigcode/starcoder, a 15.5B param model.
We will use NF4 4-bit quantization to fit this into 10787MiB VRAM.
It would require 23767MiB VRAM unquantized. (still fits on a 4090, which has 24564MiB)!

Setup API