| contract MetaCoin { | |
| mapping (address => uint) balances; | |
| event Transfer(address _from,address _to, uint _amount); | |
| function MetaCoin() { | |
| balances[tx.origin] = 10000; | |
| } | |
| function sendCoin(address receiver, uint amount) returns(bool sufficient) { | |
| if (balances[msg.sender] < amount) return false; |
| # Copyright (C) 2013 Istituto per l'Interscambio Scientifico I.S.I. | |
| # You can contact us by email (isi@isi.it) or write to: | |
| # ISI Foundation, Via Alassio 11/c, 10126 Torino, Italy. | |
| # | |
| # This work is licensed under a Creative Commons 4.0 | |
| # Attribution-NonCommercial-ShareAlike License | |
| # You may obtain a copy of the License at | |
| # http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| # | |
| # This program was written by Andre Panisson <panisson@gmail.com> at |
| #!/bin/bash | |
| # This script can be used in "run & hope" mode or you can use it as a recipe to | |
| # do things manually - you probably want the latter if you really care about | |
| # the data in your databases. | |
| # Happy hacking | |
| # /Eoin/ | |
| # Tell bash to stop if something goes wrong | |
| set -e |
My notes on setting up a Raspberry Pi with an Edimax EW-7811UN WiFi Dongle and motion sensors.
We intend to use a few Raspberry Pis around the office, in order to find out if certain rooms are beeing used or not. For this, we need to get WiFi and a motion sensor working.
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# The unreasonable effectiveness of Character-level Language Models\n", | |
| "## (and why RNNs are still cool)\n", | |
| "\n", | |
| "###[Yoav Goldberg](http://www.cs.biu.ac.il/~yogo)\n", |
| ./elastic-mapreduce --create --alive \ | |
| --name "Hive cluster" \ | |
| --hive-interactive --hive-versions latest \ | |
| --hive-site=s3://${s3bucket}/emr/conf/hive-site.xml \ | |
| --ami-version latest \ | |
| --availability-zone us-east-1d --log-uri s3n://york-emr-logs \ | |
| --instance-group master --instance-type m1.medium --instance-count 1 --bid-price 0.175 \ | |
| --instance-group core --instance-type m1.large --instance-count 3 --bid-price 0.35 \ | |
| --enable-debugging --log-uri s3n://${s3bucket}/emr/logs \ | |
| --bootstrap-action s3://elasticmapreduce/bootstrap-actions/run-if \ |
| <!DOCTYPE HTML> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title></title> | |
| <script src="http://d3js.org/d3.v2.js"></script> | |
| <style> | |
| line.arrow { | |
| stroke: #666; |
| data = sqlContext.load("/home/rxin/ints.parquet") | |
| data.groupBy("a").agg(col("a"), avg("num")).collect() |
| -- | |
| -- This is SQL query to extract AddressBook info from respective sqlite3 file from iOS backup. | |
| -- It has been tested only on my own backup, so, if anything is wrong, fork, edit, and stuff. | |
| -- | |
| -- # parse-manifest.py from http://stackoverflow.com/questions/3085153/how-to-parse-the-manifest-mbdb-file-in-an-ios-4-0-itunes-backup | |
| -- | |
| -- $ python ../parse-manifest.py | grep AddressBook.sqlitedb | |
| -- -rw-r--r-- 000001f5 000001f5 1654784 1312812502 1312812502 1287387943 (31bb7ba8914766d4ba40d6dfb6113c8b614be442)HomeDomain::Library/AddressBook/AddressBook.sqlitedb | |
| -- | |
| -- $ sqlite3 31bb7ba8914766d4ba40d6dfb6113c8b614be442 |
| #!/bin/bash | |
| # Backs up the OpenShift PostgreSQL database for this application | |
| # by Skye Book <skye.book@gmail.com> | |
| NOW="$(date +"%Y-%m-%d")" | |
| FILENAME="$OPENSHIFT_DATA_DIR/$OPENSHIFT_APP_NAME.$NOW.backup.sql.gz" | |
| pg_dump $OPENSHIFT_APP_NAME | gzip > $FILENAME |