MCardus

import os
import sys

class DataGenerator:
    def copy_files(self, src_dir: str, dest_dir: str) -> None:
        try:
            if not os.path.exists(dest_dir):
                os.makedirs(dest_dir)

            for filename in os.listdir(src_dir):

MCardus

Host  *
        User mcardus
        IdentityFile ~/.ssh/id_rsa

MCardus

# ZSHRC #

## ZSH CONF ##

### Mac OS Home ###
export HOME="/Users/$(whoami)"

export ZSH=$HOME"/.oh-my-zsh"

ZSH_THEME="agnoster"

MCardus

import unittest

class DummyTestCase(unittest.TestCase):
    def setUp(self):
        self.my_data = [1,2,3,4,5]

    def test_length(self):
        self.assertEqual(len(self.my_data),5)

    def tearDown(self):

MCardus

from functools import reduce

class MyData(object):

    def __init__(self, data):
        self.data = data

    def get_data(self):
        return self.data

MCardus

version: 1
formatters:
  human:
    format: |
        {
          "name" : "%(name)s",
          "timestamp" : "%(asctime)s",
          "severity" : "%(levelname)s",
          "message" : "%(message)s"
        }

MCardus

import os
import yaml
import logging
import logging.config
import functools
import json

def setup_logging(
    default_path= 'logging_properties.yml',
    default_level=logging.DEBUG,

MCardus

  def trainModel(inputPath: String) = {
    log.info("Training model from data in path: " + inputPath)
    val file: File = new File(inputPath)
    val iter = new BasicLineIterator(file)
    val cache  = new AbstractCache[VocabWord]
    val tokenizer = new DefaultTokenizerFactory
    tokenizer.setTokenPreProcessor(new CommonPreprocessor)

    try {
      _paragraphVectors = new ParagraphVectors.Builder().minWordFrequency(1).iterations(5).epochs(1).layerSize(100).learningRate(0.025).windowSize(5).iterate(iter).trainWordVectors(false).vocabCache(cache).tokenizerFactory(tokenizer).sampling(0).build

MCardus

# Provision Docker Ubuntu 16
# It installs docker and configure current user to being able to acces docker without sudo

#Docker user
USER=$(whoami)

#Install Docker
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
sudo apt-get update

MCardus

# Ubuntu base provisioning
# It installs base packets, python pip, ansible and git

# Upgrade system
sudo apt-get update && sudo apt-get -y upgrade


# Install essential packages
sudo apt-get install -y build-essential python git libpq-dev python-dev libxml2-dev libxslt1-dev libldap2-dev libsasl2-dev libffi-dev