This guide is unmaintained and was created for a specific workshop in 2017. It remains as a legacy reference. Use at your own risk.
Workshop Instructor:
- Lilly Ryan @attacus_au
This workshop is distributed under a CC BY-SA 4.0 license.
# coding: utf-8 | |
import json | |
from django import template | |
from django.utils.dateparse import parse_datetime | |
from django.utils.html import mark_safe | |
register = template.Library() |
map $request $loggable { | |
~*\.css|\.js|\.png|\.woff 0; | |
default 1; | |
} | |
log_format slim '[$time_local] - $body_bytes_sent - $request_time - "$request" $status'; | |
include bcore/local-nginx-default; | |
include mime.types; | |
default_type application/octet-stream; | |
access_log /path/to/access.log slim if=$loggable; |
"""A library for describing and applying affine transforms to PIL images.""" | |
import numpy as np | |
import PIL.Image | |
class RGBTransform(object): | |
"""A description of an affine transformation to an RGB image. | |
This class is immutable. |
This guide is unmaintained and was created for a specific workshop in 2017. It remains as a legacy reference. Use at your own risk.
Workshop Instructor:
This workshop is distributed under a CC BY-SA 4.0 license.
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.
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.