boxysean

# airflow.cfg

[core]
airflow_home = /opt/titan/airflow
dags_folder = /opt/titan/airflow/dags
s3_log_folder = None
executor = CeleryExecutor
sql_alchemy_conn = mysql://airflow:airflow@mysql/airflow
parallelism = 32
dag_concurrency = 16

boxysean

# airflow/plugins/slack.py

import logging

from airflow.operators.python_operator import PythonOperator
from airflow.plugins_manager import AirflowPlugin
from slackclient import SlackClient
from titan.utils import config

boxysean

import fileinput


def main():
    for line in fileinput.input():
        i, j = [int(x) for x in line.split()]
        # beware the min and max!
        low = min(i, j)
        high = max(i, j)
        print('%d %d %d' % (i, j, solve(low, high)))

boxysean

import fileinput


def solve(sequence):
    pass

def main():
    sequence = []
    for line in fileinput.input():
        for word in line.split():

boxysean

# Problem A - The 3n + 1 problem
# https://vjudge.net/contest/145712#problem/A
# Author: Adam

import sys
import functools

@functools.lru_cache(maxsize=1000000)
def cycle_len(k):
    if k == 1:

boxysean

// All units inches

function form(length, width, height, thickness) {
  return union([
      cube({size: [length, thickness, height]}),
      cube({size: [length, thickness, height]})
        .translate([0, width - thickness, 0]),
      cube({size: [thickness, width, height]}),
      cube({size: [thickness, width, height]})
        .translate([length - thickness, 0, 0])

boxysean

init_config: null
instances:
-   collect_activity_metrics: true
    collect_default_database: true
    collect_function_metrics: true
    dbname: mydb
    host: main-database.example.com
    password: mypassword
    port: 5432
    relations: null

boxysean

# dbt_utils/dbt_project.yml

name: 'dbt_utils'
version: '0.1.0'

boxysean

// All units inches

var extrude_ = 0.1;
var nutSize = 0.375;
var threadDiameter = 0.22;
var screwPosition = [0.5, 0.5];

function makeHalf() {
    var half = polygon([
        [0,0.7],

boxysean

import aiohttp
import asyncio
import sqlite3


URLS = [
    'http://www.foxnews.com/',
    'http://www.cnn.com/',
    'http://europe.wsj.com/',
    'http://www.bbc.co.uk/',