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( |
{ | |
"cmd": ["fpcbuild.bat", "$file"], "quiet": true | |
} |
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 */ |