fdavidcl

#!/usr/bin/env ruby
#encoding: utf-8

############ Interface code
class InterfaceClass < Module
  private
  def included(klass)
    if klass != Object
      @_implemented.each do |m|
        if !klass.method_defined?(m)

fdavidcl

#!/bin/bash
# David Charte, Ignacio Cordón y Mario Román

# Parámetros
#  1 - regla para encontrar los archivos a compilar
#  2 - argumento a pasar al programa

CFLAGS="-flto -fopenmp -fwhole-program -Wall -Wl,--no-as-needed"
CXXFLAGS="$CFLAGS -std=c++0x"
LDFLAGS="-lm -lrt"

fdavidcl

# .bash_aliases

# Usage:
#   todo - Shows tasks
#   todo "New task" - Adds task to TODO list
#   todo do 2 - Deletes 2nd task
function todo() {
    [[ $# -ge 1 ]] && (
        [[ $# -ge 2 ]] && (
            cp ~/.TODO ~/.TODO.old

fdavidcl

###############################################################################
# Makefile
# Compiles Lex programs in C++
###############################################################################

SHELL = /bin/bash

BIN = .
SRC = $(wildcard *.l)
EXE = $(basename $(BIN)/$(SRC))

fdavidcl

# The hasselhoff attack taken to a new level
# curl -L http://git.io/pxu2 | bash
TARGET=`echo ~`/hasselhoff.jpg
wget http://www.ljpaez.es/imagen/hasselhoff.jpg $TARGET
gsettings set org.gnome.desktop.background picture-uri file:///$TARGET
xmessage -center "you have been hasselhoffinated"

fdavidcl

void Environment::Show(int w,int h) const
{
	const static float trufa_level=50.0;
    
    /* Formatting */
    const static string RED = "\e[31m";
    const static string GREEN = "\e[32m";
    const static string ORNG = "\e[33m";
    const static string BLUE = "\e[34m";
    const static string BOLD = "\e[1m";

fdavidcl

PDF=$(addsuffix .pdf, $(basename $(basename $(wildcard *.doc.md *.pres.md))))

default: $(PDF)

%.pdf: %.doc.md
	pandoc --to latex --latex-engine xelatex -N -o $@ $< --filter pandoc-citeproc

%.pdf: %.pres.md
	pandoc --to beamer --latex-engine xelatex -N -o $@ $<

fdavidcl

# Guion para comprobación del Teorema Central del Límite:

#
# The central limit theorem (CLT) states that, given certain conditions, 
# the arithmetic mean of a sufficiently large number of iterates of 
# independent random variables, each with a well-defined expected value 
# and well-defined variance, will be approximately normally distributed, 
# regardless of the underlying distribution -- Wikipedia (https://en.wikipedia.org/wiki/Central_limit_theorem)
#
simular <- function(dados = 20, caras = 6, muestras = 1000) {

fdavidcl

emotions <- mldr_from_dataframe(mldr::emotions$dataset, mldr::emotions$labels$index, "emotions")
birds <- mldr_from_dataframe(mldr::birds$dataset, mldr::birds$labels$index, "birds")
genbase <- mldr_from_dataframe(mldr::genbase$dataset, mldr::genbase$labels$index, "genbase")

save(emotions, file = "emotions.rda", compress = "xz")
save(birds, file = "birds.rda", compress = "xz")
save(genbase, file = "genbase.rda", compress = "xz")

fdavidcl

# ...

catkin-setup() {
  source /opt/ros/jade/setup.bash &> /dev/null
}
catkin-setup

catkin-make() {
  catkin_make -DPYTHON_EXECUTABLE=/usr/bin/python2 -DPYTHON_INCLUDE_DIR=/usr/include/python2.7 -DPYTHON_LIBRARY=/usr/lib/libpython2.7.so $*
  source devel/setup.bash