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#!/bin/python3

import argparse, textwrap
import cv2 as cv
import numpy as np
from pathlib import Path
from fpdf import FPDF
from tempfile import NamedTemporaryFile

class Selector(object):

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# remotes::install_github("coolbutuseless/eventloop")

Pong <- R6::R6Class(
  "pong",
  
  public = list(
    initialize = function(width=10, height=7, speed=0.02) {
      require(grid)
      private$width <- width
      private$height <- height

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#include <stdio.h>
#include <gmp.h>

int main() {
    mpz_t x, y, odd_or_even;
    mpz_init(x);
    mpz_init(y);
    mpz_init(odd_or_even);
    
    unsigned long int i, p;

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#!/usr/bin/env bash

############################################################
#
# cloudsend.sh
#
# Uses curl to send files to a shared
# Nextcloud/Owncloud folder
#
# Usage: ./cloudsend.sh <file> <folderLink>

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let mapleader=","

set laststatus=2
set colorcolumn=81
highlight ColorColumn ctermbg=8
set number
set cursorline
set wildmenu
set showmatch

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#include <stdio.h>
#include <stdlib.h>
#include <setjmp.h>
#include <math.h>
#include <time.h>

typedef struct process {
  double *now;
  double (*run)(struct process *);
  jmp_buf buf;

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#' @param h5File HDF5 file path
#' @param dataset data frame path in the HDF5 file
#' @examples
#' df <- loadhdf5data("/path/to/file.hdf5", "/path/to/dataset")
#' 
loadhdf5data <- function(h5File, dataset) {
  require(h5) # available on CRAN
  
  f <- h5file(h5File)
  nblocks <- h5attr(f[dataset], "nblocks")

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#!/bin/bash
# Remove and purge old mistakes and/or unwanted big files from git history
# author: Iñaki Ucar <i.ucar86@gmail.com>
# based on: http://blog.ostermiller.org/git-remove-from-history

if [ "$#" -ne 2 ]; then
  echo "usage: $0 <repo-URL> <pattern>"
  exit 1
fi

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#!/usr/bin/env python3
# coding=UTF8
# Author: Iñaki Ucar <i.ucar86@gmail.com>
# Description: Download all events, births and deaths from Wikipedia

import sys, requests, locale
from datetime import date, timedelta as td
from pypandoc import convert # <3

MAX_TITLES = 50

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clap = audioread('clap.wav');
fs = 96e3;      % sampling frequency
N = 40;         % steps
ssize = 0.15;   % step size
delay = ssize * 2 / 340;
samples = round(delay * fs);
stairs = zeros(samples * N + length(clap) + N, N);
for i = 1:N
    samples = samples + 1;
    indexes = (i-1)*samples+1 : length(clap)+(i-1)*samples;