lifeeth

#!/bin/bash
# /etc/init.d/selenium
# debian-compatible selenium-grid startup script.
# Based on jenkins startups
# Praneeth Bodduluri <lifeeth[at]gmail.com>
# update-rc.d -n -f selenium start 90 2 3 4 5 . stop 10 0 1 6 .
### BEGIN INIT INFO
# Provides:          selenium-grid
# Required-Start:    $remote_fs $syslog $network
# Required-Stop:     $remote_fs $syslog $network

lifeeth

import osmnodepbf

foo = osmnodepbf.Parser("some.osm.pbf")

tags = foo.return_tags(refresh=True) # To see what tags are available

railways_stations = foo.parse({"railway":"station"})

lifeeth

import os
import math
import csv
from openpyxl.reader.excel import load_workbook
files = os.listdir('files/')
for filename in files:
    filename = filename.split(".")[0]
    wb2 = load_workbook("files/"+filename+'.xlsx')
    output_writer = csv.writer(open("csvfiles/"+filename+'.csv','wb'))
    sheet = wb2.get_sheet_by_name(name = 'Sheet1')

lifeeth

possible_drives = [
        r"\\.\PhysicalDrive1", # Windows
        r"\\.\PhysicalDrive2",
        r"\\.\PhysicalDrive3",
        "/dev/mmcblk0", # Linux - MMC
        "/dev/mmcblk1",
        "/dev/mmcblk2",
        "/dev/sdb", # Linux - Disk
        "/dev/sdc",
        "/dev/sdd",

lifeeth

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sys

# Note the app name is hardcoded!
APPLICATION = 'eden'

if '__file__' in globals():
    path = os.path.dirname(os.path.abspath(__file__))

lifeeth

<uwsgi>
    <uid>web2py</uid>
    <gid>web2py</gid>
    <pythonpath>/home/web2py/</pythonpath>
    <app mountpoint="/">
        <script>wsgihandler</script>
    </app>
    <mule>run_scheduler.py</mule>
    <workers>4</workers>
    <pidfile>/tmp/uwsgi-prod.pid</pidfile>

lifeeth

nm binary_to_check | grep  --quiet _sfloat  && echo 'ARMv5 Binary' || echo 'Not ARMv5 Binary'

lifeeth

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.

lifeeth

lifeeth