Maksym L maksymx

Bash Environment Example with SSM to get Parameter Values using GetParameter:

IAM Policy:

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "Stmt1517398919242",

	"""This is not the full code. We do a lot of stuff to clean up connections, particularly for unit testing."""
	import sqlalchemy
	from sqlalchemy.orm import Query, Session, scoped_session, sessionmaker

	CONFIG_KEY_SQLALCHEMY_BINDS = 'SQLALCHEMY_BINDS'
	CONFIG_KEY_SQLALCHEMY_RO_BINDS = 'SQLALCHEMY_READ_ONLY_BINDS'

	class Config:
	# These default values are for testing. In a deployed environment, they would be three separate instances.
	SQLALCHEMY_DATABASE_URI = 'postgresql://localhost/branded_dev'

	import random
	import math
	import timeit
	import matplotlib.pyplot as plt

	timeBubble = []
	timeSelection = []
	timeInsertion = []
	timeQuick = []
	timeMerge = []

	# Enter your code here. Read input from STDIN. Print output to STDOUT
	class Node:
	def __init__(self,value,point):
	self.value = value
	self.point = point
	self.parent = None
	self.H = 0
	self.G = 0
	def move_cost(self,other):
	return 0 if self.value == '.' else 1

	# Something in lines of http://stackoverflow.com/questions/348630/how-can-i-download-all-emails-with-attachments-from-gmail
	# Make sure you have IMAP enabled in your gmail settings.
	# Right now it won't download same file name twice even if their contents are different.

	import email
	import getpass, imaplib
	import os
	import sys

	detach_dir = '.'

	import os
	from io import BytesIO

	import boto3
	from PIL import Image
	from django.conf import settings


	def store_in_bucket(data, key, content_type, public_read=False):
	boto3.client('s3').put_object(

	import urllib2
	from multiprocessing.dummy import Pool as ThreadPool

	urls = [
	'http://www.python.org',
	'http://www.python.org/about/',
	'http://www.onlamp.com/pub/a/python/2003/04/17/metaclasses.html',
	'http://www.python.org/doc/',
	'http://www.python.org/download/',
	'http://www.python.org/getit/',

	from numpy import exp, array, random, dot


	class NeuronLayer():
	def __init__(self, number_of_neurons, number_of_inputs_per_neuron):
	self.synaptic_weights = 2 * random.random((number_of_inputs_per_neuron, number_of_neurons)) - 1


	class NeuralNetwork():
	def __init__(self, layer1, layer2):

	@namespace url(http://www.mozilla.org/keymaster/gatekeeper/there.is.only.xul);

	/* Set Font Size In Folder Pane */

	#folderTree >treechildren::-moz-tree-cell-text {
	/font-family: Lucida Sans !important;/
	font-size: 12pt !important; }

	/* Set Font Size In Thread Pane */

	{
	"cmd": ["fpcbuild.bat", "$file"], "quiet": true
	}