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cmake_minimum_required(VERSION 3.0)
project(hdf5_check_ds)

# output paths
set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)

find_package(HDF5 REQUIRED COMPONENTS C HL)
include_directories(${HDF5_INCLUDE_DIRS})

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#!/usr/bin/env bash

# This is free and unencumbered software released into the public domain.

# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a compiled
# binary, for any purpose, commercial or non-commercial, and by any
# means.

# In jurisdictions that recognize copyright laws, the author or authors

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#!/usr/bin/env python

import numpy as np
import matplotlib.pyplot as plt
from dragons import meraxes
import pandas as pd

__author__ = "Simon Mutch"
__date__ = "2016-05-17"

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#!/usr/bin/env python3

"""ADS tools."""

from requests import post
from pathlib import Path
import subprocess
import click
import webbrowser
from urllib.parse import quote as url_quote

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<!-- Place these cells at the head of the notebook (N.B. there are cells below which go at the end though)-->
<script>
  jQuery(document).ready(function($) {

  $(window).load(function(){
    $('#preloader').fadeOut('slow',function(){$(this).remove();});
  });

  });
</script>

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import numpy as np

class Bootstrap():
    def __init__(self, arr, n, statistic=np.mean):
        self.ii = 0
        self.n = n
        self.arr = np.array(arr).squeeze()
        self.statistic = statistic

    def __iter__(self):