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#!/bin/bash
# Author: Andrea Lazzarotto
# http://andrealazzarotto.com
# [email protected]

# Slideshare Downloader
# This script takes a slideshare presentation URL as an argument and
# carves all the slides in flash format, then they are converted to
# and finally merged as a PDF

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source :rubygems

gem "eventmachine", "0.12.10"
gem "rack"

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/*
## 对象健身操

http://www.infoq.com/cn/minibooks/thoughtworks-anthology

###规范
1. 方法只使用一级缩进。
 1. 全部符合要求
 1. 大部分通过方法提取做到，有的带yield的语句块不好提取，幸好一些Linq方法可以用来抽象一些集合操作。
 1. 所有方法都尽量控制在5行以内，不包含空行和括号单独占的行

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#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <string.h>


struct stock5Min
{
    unsigned short  monthDay;            // 月日
    unsigned short  hourMin;             // 小时, 分钟

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# Postgresql 9.1 conf
# by http://www.postgresql.org/docs/9.1/interactive/monitoring-stats.html#MONITORING-STATS-FUNCS-TABLE
#
# Server specific parameters
# Example: psql.pg_stat_get_bgwriter_timed_checkpoints
#
UserParameter=psql.pg_stat_get_bgwriter_timed_checkpoints,psql -d neiron -t -c "SELECT pg_stat_get_bgwriter_timed_checkpoints() FROM pg_database WHERE datname='${1-"neiron"}'"
UserParameter=psql.pg_stat_get_bgwriter_requested_checkpoints,psql -d neiron -t -c "SELECT pg_stat_get_bgwriter_requested_checkpoints() FROM pg_database WHERE datname='${1-"neiron"}'"
UserParameter=psql.pg_stat_get_bgwriter_buf_written_checkpoints,psql -d neiron -t -c "SELECT pg_stat_get_bgwriter_buf_written_checkpoints() FROM pg_database WHERE datname='${1-"neiron"}'"
UserParameter=psql.pg_stat_get_bgwriter_buf_written_clean,psql -d neiron -t -c "SELECT pg_stat_get_bgwriter_buf_written_clean() FROM pg_database WHERE datname='${1-"neiron"}'"

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!-------------------------------------------------------------------------------
! Xft settings
!-------------------------------------------------------------------------------

Xft.dpi:                    96
Xft.antialias:              false
Xft.rgba:                   rgb
Xft.hinting:                true
Xft.hintstyle:              hintslight

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L1 cache reference                          0.5 ns
Branch mispredict                             5 ns
L2 cache reference                            7 ns
Mutex lock/unlock                            25 ns
Main memory reference                       100 ns
Compress 1K bytes with Zippy              3,000 ns
Send 2K bytes over 1 Gbps network        20,000 ns
Read 1 MB sequentially from memory      250,000 ns
Round trip within same datacenter       500,000 ns
Disk seek                            10,000,000 ns

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The basic idea here is to substantiate the claims made by this square post:
http://corner.squareup.com/2011/06/postgresql-data-is-important.html

In PostgreSQL, and MySQL (MyISAM and InnoDB) I create millions of rows and then add 
and remove columns and add and remove indexes.  For columns without defaults this is
basically free in PostgreSQL and O(n) in MySQL.  For adding indexes its at best O(n) 
everywhere, but with PostgreSQL it claims not to do any locking that would otherwise
prevent table interaction.

Also, PostgreSQL has _awsome_ documentation (it has real examples!). I always get 

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####################
# centos 5.8
# post installation
# adapted from 
# https://github.com/jedi4ever/veewee/tree/master/templates/CentOS-5.7-i386-netboot
####################

yum -y install sudo

/usr/sbin/groupadd vagrant

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#!/usr/bin/env python2

import sys
import urllib
from HTMLParser import HTMLParser

class FlvcdParser(HTMLParser):

    def handle_starttag(self, tag, attrs):
        if tag == "a":