helxsz

How to setup Let's Encrypt for Nginx on Ubuntu 18.04 (including IPv6, HTTP/2 and A+ SLL rating)

---

Virtual hosts

Let's say you want to host domains first.com and second.com.

Create folders for their files:

helxsz

/**
 * Created by leo6104 (github.com/leo6104)
 * You can use this nodejs script on angular v5/v4/v2 project.
 * 1. Place this gist file `ng-update-v6.js` to angular project's root path
 * 2. use command `node ng-update-v6.js .angular-cli.json` 
 * 3. check angular.json file (created by ng-update-v6.js)
 **/
const fs = require('fs');
const path = require('path');

helxsz

const Web3      = require('web3');
const ZeroEx    = require('0x.js').ZeroEx;
const BigNumber = require('bignumber.js');

// Default provider for TestRPC
const provider = new Web3.providers.HttpProvider('http://localhost:8545')

// Calling constructor
const zeroEx = new ZeroEx(provider);

helxsz

  sendSigned(txData,wallet_privatekey, cb) {
      var web3 = this.web3;
      const tx = new Tx(txData)
      var _pk = wallet_privatekey.slice(2);
      var privateKey = new Buffer(_pk, 'hex');
      tx.sign(privateKey)
      const serializedTx = tx.serialize()
      web3.eth.sendSignedTransaction('0x' + serializedTx.toString('hex'), cb)
  }

helxsz

var Web3 = require('web3');
var util = require('ethereumjs-util');
var tx = require('ethereumjs-tx');
var lightwallet = require('eth-lightwallet');
var txutils = lightwallet.txutils;
var web3 = new Web3(
    new Web3.providers.HttpProvider('https://rinkeby.infura.io/')
);
var address = '0x8D68583e625CAaE969fA9249502E105a21435EbF';
var key = '1ce642301e680f60227b9d8ffecad474f15155b6d8f8a2cb6bde8e85c8a4809a';

helxsz

pragma solidity ^0.4.0;
contract Ballot {

    struct Voter {
        uint weight;
        bool voted;
        uint8 vote;
        address delegate;
    }
    struct Proposal {

helxsz

# -*- coding: UTF-8 -*-
import cv2
import numpy as np
import os
import random


def car_position(input_file):
	position = []
	img_gray = cv2.imread(input_file,cv2.IMREAD_GRAYSCALE)

helxsz

53.380827, -2.975304
53.385516, -2.981218
53.385041, -2.980835
53.384792, -2.980543
53.384661, -2.982629
53.384059, -2.981964
53.383523, -2.981326
53.383448, -2.979853
53.383102, -2.979456
53.383349, -2.978617

helxsz

'''
texture image path are relative to the blend file directory. run from command line like this:
 
texture=img/2012720989_c.jpg blender -b mug.blend --python texture_change.py -F PNG -s 1 -e 1 -j 1 -t 0 -a
''''
import os

image_file = os.getenv('texture')
if not image_file:
	image_file="img/2012720989_c.jpg"

helxsz

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman