$ uname -r
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from flask import Flask | |
from flask import request | |
import json | |
import requests | |
import hashlib as hasher | |
import datetime as date | |
node = Flask(__name__) | |
# Define what a Snakecoin block is | |
class Block: |
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#!/bin/sh | |
yum -y install wget unzip | |
rpm -ivh http://dl.fedoraproject.org/pub/epel/6/i386/epel-release-6-8.noarch.rpm | |
rpm -ivh http://yum.pgrpms.org/9.2/redhat/rhel-6-i386/pgdg-centos92-9.2-6.noarch.rpm | |
yum -y install python-psycopg2 python-lxml PyXML python-setuptools libxslt-python pytz \ | |
python-matplotlib python-babel python-mako python-dateutil python-psycopg2 \ | |
pychart pydot python-reportlab python-devel python-imaging python-vobject \ | |
hippo-canvas-python mx python-gdata python-ldap python-openid \ | |
python-werkzeug python-vatnumber pygtk2 glade3 pydot python-dateutil \ | |
python-matplotlib pygtk2 glade3 pydot python-dateutil python-matplotlib \ |
- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
Create an .htaccess file in the webroot:
AuthUserFile /app/www/.htpasswd
AuthType Basic
AuthName "Restricted Access"
Require valid-user
Create a .htpasswd file:
htpasswd -c /app/www/.htpasswd [username]
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<?php | |
/* | |
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | |
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | |
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR | |
* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT | |
* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, | |
* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT | |
* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, |