Clayton A Davis clayadavis
lrvick
/ flask_geventwebsocket_example.py
Created
September 1, 2011 07:17
Simple Websocket echo client/server with Flask and gevent / gevent-websocket
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| from geventwebsocket.handler import WebSocketHandler | |
| from gevent.pywsgi import WSGIServer | |
| from flask import Flask, request, render_template | |
| app = Flask(__name__) | |
| @app.route('/') | |
| def index(): | |
| return render_template('index.html') |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| class RedisCircularBuffer(object): | |
| def __init__(self, namespace, size): | |
| self.namespace = namespace | |
| self.size = size | |
| import redis | |
| self.redis = redis.Redis() | |
| def append(self, item): | |
| self.redis.lpush(self.namespace, item) |
brianckeegan
/ backbone_extractor.py
Last active
August 2, 2023 19:26
Given a networkx graph containing weighted edges and a threshold parameter alpha, this code will return another networkx graph with the "backbone" of the graph containing a subset of weighted edges that fall above the threshold following the method in Serrano et al. 2008.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # Serrano, Boguna, Vespigani backbone extractor | |
| # from http://www.pnas.org/content/106/16/6483.abstract | |
| # Thanks to Michael Conover and Qian Zhang at Indiana with help on earlier versions | |
| # Thanks to Clay Davis for pointing out an error | |
| import networkx as nx | |
| import numpy as np | |
| def extract_backbone(g, weight='weight', alpha=.05): | |
| backbone_graph = nx.Graph() |