Glavin001

Here are several different ways to test a TCP port without telnet.

BASH (man page)

$ cat < /dev/tcp/127.0.0.1/22
SSH-2.0-OpenSSH_5.3
^C

$ cat &lt; /dev/tcp/127.0.0.1/23

Glavin001

class Frame extends Component {
  componentDidMount() {
    this.iframeHead = this.node.contentDocument.head
    this.iframeRoot = this.node.contentDocument.body
    this.forceUpdate()
  }

  render() {
    const { children, head, ...rest } = this.props
    return (

Glavin001

<!--DOCUSAURUS_CODE_TABS-->
<!--JavaScript-->
```js
console.log('Hello, world!');
```
<!--Python-->
```py
print('Hello, world!')
```

Glavin001

exercise-pose-analyzer    | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
exercise-pose-analyzer    | Instructions for updating:
exercise-pose-analyzer    | Pass is_training directly to the network instead of the arg_scope.
exercise-pose-analyzer    | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
exercise-pose-analyzer    | Instructions for updating:
exercise-pose-analyzer    | Pass is_training directly to the network instead of the arg_scope.
exercise-pose-analyzer    | 2018-10-20 14:44:19.454505: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
exerc

Glavin001

exercise-pose-analyzer    | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
exercise-pose-analyzer    | Instructions for updating:
exercise-pose-analyzer    | Pass is_training directly to the network instead of the arg_scope.
exercise-pose-analyzer    | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
exercise-pose-analyzer    | Instructions for updating:
exercise-pose-analyzer    | Pass is_training directly to the network instead of the arg_scope.
exercise-pose-analyzer    | 2018-10-20 14:44:19.454505: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
exerc

Glavin001

<?php

require_once __DIR__.'/../vendor/autoload.php';

use Symfony\Component\Console\Helper\Table;
use Symfony\Component\Console\Output\ConsoleOutput;
use Symfony\Component\Console\Output\OutputInterface;
use Silex\Application;

/**

Glavin001

1. Run the RunInBrowser.js script by copying and pasting into the Developer Tools' Console.

Glavin001

function install_faiss() {
  pyenv shell rise
  pip install numpy
  sudo apt-get install -y \
    build-essential \
    libopenblas-dev \
    gfortran \
    swig

  PREFIX_MAIN=$(pyenv virtualenv-prefix)

Glavin001

import string
import re
import nltk

def normalize(text):
	# remove punctuation
	text = re.sub('[%s]' % re.escape(string.punctuation), '', text)
	# split into words
	# nltk.data.path.append("/nltk_data")
	from nltk.tokenize import word_tokenize

Glavin001

import string
import re
import nltk

def normalize(text):
	# remove punctuation
	text = re.sub('[%s]' % re.escape(string.punctuation), '', text)
	# split into words
	# nltk.data.path.append("/nltk_data")
	from nltk.tokenize import word_tokenize