techbless

import keras
from keras.datasets import mnist
from sklearn import preprocessing
import numpy as np

(train_xs, train_ys), (test_xs, test_ys) = mnist.load_data()
dim_x = train_xs.shape[1] * train_xs.shape[2]
dim_y = 10

train_xs = train_xs.reshape(train_xs.shape[0], dim_x).astype(np.float32)

techbless

import { Op } from "sequelize";

/*
  SEQUELIZE FILTERING QUERY BUILDER

  SAMPLE URI
  /api/v1/ubello-products?page=1&n_product=20&PRICE_RETAIL[lte]=90000&PRICE_RETAIL[gte]=10&PRICE_SUPPLY[gte]=20000&PRICE_SUPPLY[lte]=50000&sort=PRICE_RETAIL&PRODUCT_NAME=%GIFT%
  
  SAMPLE req.query from express
  {

techbless

🌞 Morning    56 commits  █░░░░░░░░░░░░░░░░░░░░   4.9%
🌆 Daytime   258 commits  ████▋░░░░░░░░░░░░░░░░  22.4%
🌃 Evening   475 commits  ████████▋░░░░░░░░░░░░  41.2%
🌙 Night     363 commits  ██████▌░░░░░░░░░░░░░░  31.5%

techbless

# block address

# adult
127.0.0.1 kkdate.com
127.0.0.1 www.qmov.net
127.0.0.1 kordating.com
127.0.0.1 hottoy.co.kr
127.0.0.1 hangukdate.com
127.0.0.1 porngames.adult
127.0.0.1 free3dadultgames.com

techbless

package Client;

import java.io.DataInputStream;
import java.io.DataOutputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.net.Socket;

public class fileReciever {
    public static void main(String[] args) {

techbless

import scala.util.Random

object MakePassword extends App{
    var list = List( 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o',
                     'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', 'A', 'B', 'C', 'D',
                     'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
                     'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '0', '1', '2', '3', '4', '5', '6', '7',
                     '8', '9', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '~', '!', '@',
                     '#', '$', '%', '^', '&', '*', '(', ')', '-', '_', '=', '+', '[', ']', '{',
                     '}', '?', '<', '>', '.', '/' );