ma7555

"""
https://gist.github.com/Azadehkhojandi/50eaae4cf20b21faef186f2c8ee97873
"""
    
import hmac
import hashlib
import binascii


def create_sha256_signature(key, message):

ma7555

import petpy
import pandas as pd
import urllib.request
import time
import os
from ast import literal_eval
from tqdm import tqdm_notebook

def downloader(filename, image_url):
    full_file_name = filename + '.jpg'

ma7555

import pandas as pd
from sklearn.model_selection import StratifiedShuffleSplit

def get_stf_ttv(data, targets, train_size=0.8, random_state=555):
  
    '''
    Used to get stratified train/test/validation splits
    Test and validation splits are equal, if train_size is set to 0.8,
    the remaining 0.2 will be split between test and validation 
    resulting in 80% train, 10% test, 10% validation

ma7555

import pandas as pd
import time
from multiprocessing import Pool, cpu_count, freeze_support
import numpy as np
import os

def timeit(method):
    def timed(*args, **kw):
        ts = time.time()
        result = method(*args, **kw)

ma7555

#!/bin/sh

# Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

############################################################
# Function                                                 #
############################################################
Help()
{

ma7555

On the VPS:

• Create a 10 year certificate. The "Common Name" (CN) must be the static IP of the instance.

  openssl req  -nodes -new -x509 -keyout key.pem -out cert.pem -days 3650

• Run the SoftEther docker with either of the following:
  1. A Single User, SSTP only. Not updated recently (7 years ago at the time of creating the gist)

  sudo docker run -d --cap-add NET_ADMIN -e SSTP_ENABLED=1 -e USERNAME=YOUR_VPN_USERNAME -e PASSWORD=YOU_VPN_PASS -e SERVER_PWD=YOUR_SERVER_PASS -e CERT="$(cat cert.pem)" -e KEY="$(cat key.pem)" -p 443:443/tcp fernandezcuesta/softethervpn

ma7555

import keras

class XBM(keras.losses.Loss):
    def __init__(
        self,
        inner_loss,
        memory_size=1024,
        warmup_steps=0,
        name="xbm_loss",
        **kwargs,