bmwant

 # Check existing
 - name: Ansible check file exists.
    stat:
      path: /etc/filename
    register: file_status
  - debug:
      msg: "File exists..."
    when: file_status.stat.exists
  - debug:
      msg: "File not found"

bmwant

import re
import os
import argparse
from urllib import request
from urllib.parse import urljoin
from html.parser import HTMLParser


class ArticleParser(HTMLParser):

bmwant

#!/usr/bin/env bash
set -ex

## This is current directory
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"


######
# Add variables to travis encrypted section
######

bmwant

#!/usr/bin/env bash
# help set
set -e  # Exit immediately if a command exits with a non-zero status.
set -x  # Print commands and their arguments as they are executed.

# Export same evironment as process has
strings /proc/$PID/environ

strings /proc/20316/environ | awk '{ print "export "$1}' >> export_env.sh
source export_env.sh

bmwant

from html.parser import HTMLParser



class MyBase(object):
    def __init__(self):
        print('I want this called')

bmwant

class NeuralNetwork(object):

    ...
    
    def predict(self, x):
        layer1 = sigmoid(np.dot(x, self.weights1))
        output = sigmoid(np.dot(layer1, self.weights2))
        return output
        
x_seen = np.array([1, 1, 0])

bmwant

import random
from abc import ABC, abstractmethod

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker


class EnvData(object):
    def __init__(self, step: int, gas_price: float, consumption: float):

bmwant

#!/usr/bin/env bash
set -e

# Reset in case getopts has been used previously in the shell.
OPTIND=1

DRY_RUN=0
KEEP_MONTHS=6  # remove only branches older than keep value
GIT_REF_PREFIX="refs/remotes/origin"
EXCLUDE=('INT' 'QA' 'STAGE' 'master')

bmwant

[tool.poetry]
name = "venv"
version = "1.0"
description = "venv project"
authors = ["venv"]

[tool.poetry.dependencies]
python = "^3.5.2"
Django = "=1.11.14"
stripe = "=1.43.0"

bmwant

OPEN_BRACKETS = '[{('
CLOSING_BRACKETS = ']})'


def is_matching(open_bracket: str, close_bracket: str) -> bool:
    return OPEN_BRACKETS.index(open_bracket) == \
           CLOSING_BRACKETS.index(close_bracket)


def is_balanced(input_string: str) -> bool: