M0r13n

# Temporarily add a normal upstream DNS resolver
/ip dns set servers=1.1.1.1,1.0.0.1

# CA certificates extracted from Mozilla
/tool fetch url=https://curl.se/ca/cacert.pem

# Import the downloaded ca-store (127 certificates)
/certificate import file-name=cacert.pem passphrase=""

# Set the DoH resolver to cloudflare

M0r13n

#!/usr/bin/env bash

set -e

# ------------------------------------------------------------------------------
# This script will generate a new private key and a Certificate Signing Request
# (CSR) using OpenSSL.
# This script is non-interactive. Instead it uses the variables set at the
# beginning of this script.
# ------------------------------------------------------------------------------

M0r13n

import torch
from llama_index.llms import HuggingFaceLLM
from llama_index.prompts import PromptTemplate

selected_model = 'mistralai/Mixtral-8x7B-Instruct-v0.1'

SYSTEM_PROMPT = """You are an AI assistant that answers questions in a friendly manner, based on the given source documents. Here are some rules you always follow:
- Generate human readable output, avoid creating output with gibberish text.
- Generate only the requested output, don't include any other language before or after the requested output.
- Never say thank you, that you are happy to help, that you are an AI agent, etc. Just answer directly.

M0r13n

This is a simple example of how to use loguru in your flask application

Just create a new InterceptHandler and add it to your app. Different settings should be configured in your config file, so that it is easy to change settings.

Logging is then as easy as:

from loguru import logger

logger.info("I am logging from loguru!")

M0r13n

import itertools


def row2int(row: str) -> list[int]:
    return list(map(int, row.strip().split(' ')))


def rows2list(fd):
    l = []
    for row in fd:

M0r13n

"""An example demonstrating the limitations of the GIL (CPython). This example
increments a counter for a given challenge so that the first N bits of the SHA1
hash of the challenge are all zeros (0). The computational effort increases
exponentially with the number of bits required to be zero.

This demo illustrates that this task cannot be sped up by parallelizing the
computation."""
import base64
import hashlib
import threading

M0r13n

import base64
import datetime
import hashlib
import string
import random

YYMMDDhhmm = '%y%m%d%H%M'
YYMMDDhhmmss = '%y%m%d%H%M%S'

ASCII_LETTERS = string.ascii_letters

M0r13n

  <form action="" method="POST" role="form" class="form">
            {{ form.hidden_tag() }}
            <!--Other fields-->
            {{ wtf.form_field(form.tags, placeholder='audio, hardware, chip') }}
            <button class="btn btn-success" type="submit">submit</button>
  </form>

M0r13n

from typing import List

class Solution:
    def firstMissingPositive(self, nums: List[int]) -> int:

        return 0


if __name__ == '__main__':
    assert Solution().firstMissingPositive([2,1,0]) == 3

M0r13n

"""
Requires sqlalchemy and sqlalchemy_mixins. Install via pip
"""
import pathlib
import typing

from sqlalchemy import ForeignKey, Text, create_engine, Column, Integer, String
from sqlalchemy.orm import create_session, relationship, declarative_base

from sqlalchemy_mixins import ReprMixin