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setup1 = """
from itertools import zip_longest

def zip_equal(*iterables):
    sentinel = object()
    for combo in zip_longest(*iterables, fillvalue=sentinel):
        if sentinel in combo:
            raise ValueError('Iterables have different lengths')
        yield combo

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loadNamespace("dplyr") # Like library, but forces us to use dplyr:: on all the calls
loadNamespace("DBI")
loadNamespace("RSQLite")
loadNamespace("dbplyr") # we don't directly use dbplyr, but dplyr uses it internally so better do the check now
`%>%` <- dplyr::`%>%` # We don't want to write dplyr::`%>%` every time

db_file <- "/tmp/iris55.db"

# This tryCatch makes sure that the database connection is properly disconnected
# at the end, even if there are errors in the middle of the script

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#' Add space between the legend title and the legend items
#' @param gplt A plot created with ggplot
#' @param x How much space to add, given in x_unit units (default 0.5 lines)
#' @param x_unit Unit of x, "line" by default
#' @return A gtable object that can be plotted using plot()
#' @examples
#' library(ggplot2)
#' gplt <- ggplot(iris) + geom_point(aes(x=Sepal.Length, y = Sepal.Width, color = Species))
#' plt_gtable <- add_legend_title_space(gplt)
#' plot(plt_gtable)

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rm(list=ls())
paquets_CRAN <- c("reshape2",
                  "ggplot2", "colorspace",
                  "class", "e1071", "sfsmisc", "MASS",
                  "ChemometricsWithR", "ChemometricsWithRData",
                  "ptw", "signal", "dplyr", "gtools")

paquets_biocond <- c("DOSE","clusterProfiler","org.Hs.eg.db",
                     "Rgraphviz","pathview",
                     "KEGGgraph", "ALL","hgu95av2.db", "topGO",

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#!/usr/bin/env python3
"""
Moodle provides a backup system for courses offering an mbz file. This is a zip file with
all the resources and files included and the needed metadata about the files encoded in XML.

This script gets an unzipped mbz directory and copies all the files from the course into 
a directory tree with the same layout than the original moodle course.

unzip my_moodle_backup.zip
extract_moodle_files.py --source my_moodle_backup_FILES --destination sorted_course 

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#!/bin/bash
# Shell script to get disk usage, cpu usage, RAM usage,system load,etc.
# from multiple Linux servers and output the information on a single
# server in html format. Read below for usage/installation info
# *--------------------------------------------------------------------*
# * ORIGINAL WORK BY:
# * dig_remote_linux_server_information.bash,v0.1
# * Last updated on 25-Jul-2005*
# * Copyright (c) 2005 nixCraft project *
# * Comment/bugs: http://cyberciti.biz/fb/ *

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#!/bin/bash -x

# Distribution codename:
which lsb_release >/dev/null|| (echo "Could not find lsb_release" ; exit 1)
which apt-get >/dev/null|| (echo "Could not find apt-get" ; exit 1)

codename=$(lsb_release -cs)   # "precise"

# Add R repository:
rsourceslist="/etc/apt/sources.list.d/r_sources.list"

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