aliencaocao

from collections import namedtuple, OrderedDict

import numpy as np
import tensorrt as trt
import pycuda.driver as cuda

assert trt.__version__.split('.')[0] >= '10', 'TensorRT version >= 10 is required.'


class TRTInference:

aliencaocao

import torch
print(torch.cuda.is_available())
print(torch.cuda.get_device_name(0))
t = torch.randn(1,2).to('cuda')
print(t)

aliencaocao

import tensorflow as tf
print(tf.config.list_physical_devices('GPU'))
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
c = tf.matmul(a, b)
print(c)

aliencaocao

import json
import hashlib
import requests

API_URL = 'https://libc.rip/api/find'


def search(known_symbols: dict[str, str]) -> dict[str, str]:
    """
    Search for the libc version using the known symbols and their offsets.

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import time
import subprocess

possible_chars = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '0']  # possible characters in the password
length_of_password = 8
max_or_min = max  # choose if guessing the 'correct' answer result in longest (use max) or shortest (use min) execution time
path_to_executable = 'path to password checking executable'
error_msg = 'Last row of output you get for entering a wrong password'  # the last row of output you get for a wrong password

aliencaocao

import os, sys
import re
import time
import datetime
import atexit
import random
from typing import Dict, List, Any
import logging
import asyncio
import requests