Rails 3 提供了 match
方法供我们自定义 routes,然而我们要小心使用它以避免“跨站脚本攻击”(XSS Attack)。比如像这样的 routes:
注:(r3 代表 Rails 3,r4 代表 Rails 4)
# routes.rb
# train_grpo.py | |
# | |
# See https://github.com/willccbb/verifiers for ongoing developments | |
# | |
import re | |
import torch | |
from datasets import load_dataset, Dataset | |
from transformers import AutoTokenizer, AutoModelForCausalLM | |
from peft import LoraConfig | |
from trl import GRPOConfig, GRPOTrainer |
<?xml version="1.0" encoding="utf-8"?><gexf version="1.1" xmlns="http://www.gexf.net/1.1draft" xmlns:viz="http://www.gexf.net/1.1draft/viz" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.w3.org/2001/XMLSchema-instance"> | |
<graph defaultedgetype="undirected" mode="static"> | |
<attributes class="node" mode="static"> | |
<attribute id="0" title="country_rank" type="integer" /> | |
<attribute id="1" title="confederation" type="string" /> | |
<attribute id="2" title="team_count" type="integer" /> | |
<attribute id="3" title="country" type="string" /> | |
<attribute id="4" title="premier" type="boolean" /> | |
<attribute id="5" title="type" type="string" /> | |
<attribute id="6" title="rank" type="integer" /> |
#!/usr/bin/env python | |
# Twilio Tools for Reminding & Calling | |
# Download the twilio-python library from http://twilio.com/docs/libraries | |
from twilio.rest import TwilioRestClient | |
from twilio import twiml | |
from flask import Flask | |
app = Flask(__name__) | |
account = "TWILIO ACCOUNT" |
#!/usr/bin/env bash | |
# Pre-requisites | |
sudo apt-get -y update | |
sudo apt-get --no-install-recommends -y install build-essential openssl libreadline6 libreadline6-dev curl git-core zlib1g zlib1g-dev libssl-dev libyaml-dev libsqlite3-dev sqlite3 libxml2-dev libxslt-dev autoconf libc6-dev libgdbm-dev ncurses-dev automake libtool bison subversion pkg-config libffi-dev vim | |
# Download and compile Ruby 2.0.0-p0 | |
cd /tmp | |
wget ftp://ftp.ruby-lang.org/pub/ruby/2.0/ruby-2.0.0-p0.tar.gz | |
tar -xvzf ruby-2.0.0-p0.tar.gz |
Install Python
$ brew install readline sqlite gdbm
$ brew install python --universal --framework
$ python --version
Python 2.7
Symlinks...
Below are the actual files we use in one of our latest production applications at Agora Games to achieve zero downtime deploys with unicorn. You've probably already read the GitHub blog post on Unicorn and would like to try zero downtime deploys for your application. I hope these files and notes help. I am happy to update these files or these notes if there are comments/questions. YMMV (of course).
Other application notes:
Salient points for each file:
The range sliders at the top change the values for the force-directed algorithm and the buttons load new graphs and apply various techniques. This will hopefully serve as a tool for teaching network analysis and visualization principles during my Gephi courses and general Networks in the Humanities presentations.
Notice this includes a pretty straightforward way to load CSV node and edge lists as exported from Gephi.
It also includes a pathfinding algorithm built for the standard data structure of force-directed networks in D3. This requires the addition of .id attributes for the nodes, however.
Now with Clustering Coefficients!
Also, it loads images for nodes but the images are not in the gist. The code also refers to different network types but the data files on Gist only refer to the transportation network.