marmbrus

package com.databricks.spark.jira

import scala.io.Source

import org.apache.spark.rdd.RDD

import org.apache.spark.sql._
import org.apache.spark.sql.functions._
import org.apache.spark.sql.sources.{TableScan, BaseRelation, RelationProvider}

mmazzarolo

import android.content.Context;
import android.support.design.widget.CoordinatorLayout;
import android.support.design.widget.Snackbar;
import android.support.v4.view.ViewCompat;
import android.support.v4.view.ViewPropertyAnimatorListener;
import android.util.AttributeSet;
import android.view.View;

import com.github.clans.fab.FloatingActionMenu;

shreyansb

"""
This module provides a simple WSGI profiler middleware for finding 
bottlenecks in web application. It uses the profile or cProfile 
module to do the profiling and writes the stats to the stream provided

To use, run `flask_profiler.py` instead of `app.py`

see: http://werkzeug.pocoo.org/docs/0.9/contrib/profiler/
and: http://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-xvi-debugging-testing-and-profiling
"""

nrrb

from time import sleep
import json
import csv
import re
import requests
from omgsecrets import MAPQUEST_APP_KEY

DIVVY_STATIONS_URL = 'http://divvybikes.com/stations/json'
MAPQUEST_URL = 'http://open.mapquestapi.com/directions/v2/routematrix?key={appkey}'

LukeMurphey

# timesince
# -----------------------------
# makes a human readable description of the amount of time since a device was observed
#
[timesince(2)]
args = sourceField,destField
definition =   eval now=time() | eval $destField$ = case( $sourceField$ > now, "0 minutes ago", now-$sourceField$ > (2*86400), round((now-$sourceField$) / (86400)) . " days ago", now-$sourceField$ > (2*3600), round((now-$sourceField$) / (3600)) . " hours ago", now-$sourceField$ > (2*60), round((now-$sourceField$) / (60)) . " minutes ago", now-$sourceField$ > 60, "1 minute ago", now-$sourceField$ <= 60, "just now" ) | fields - now
iseval = 0

maccman

import os
from flask import Flask, render_template, request
import stripe

stripe_keys = {
  'secret_key': os.environ['SECRET_KEY'],
  'publishable_key': os.environ['PUBLISHABLE_KEY']
}

stripe.api_key = stripe_keys['secret_key']

dupuy

Markdown and reStructuredText

GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as things like automatic generation of tables of contents.

danverbraganza

[tox]
envlist=py27,lint

[testenv]
downloadcache={homedir}/.pipcache
distribute=True
sitepackages=False

[testenv:py27]
deps=nose

jasny

#!/bin/bash

####
# Split MySQL dump SQL file into one file per table
# based on http://blog.tty.nl/2011/12/28/splitting-a-database-dump
####

if [ $# -lt 1 ] ; then
  echo "USAGE $0 DUMP_FILE [TABLE]"
  exit

casidiablo

/*
 * Copyright 2012 CodeSlap - Cristian Castiblanco
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software