ap--

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# When loading data with scipy.io.loadmat the information is terribly deep encapsulated in structured arrays.
# This function returns some nice simplified python types.

def unnumpyfy(arr):
    if isinstance(arr, (np.ndarray,)):
        if arr.dtype == np.dtype('O') or arr.dtype.names is None:
            try:
                return unnumpyfy(arr.item())
            except ValueError:
                tmplist = arr.squeeze()

ap--

#!/bin/bash
CDIR=`pwd`
TDIR=`mktemp -d`
DOCXFN=$(basename "$1")
MDFN=${DOCXFN%.docx}.md
echo "Converting: $DOCXFN"
cp "$1" $TDIR
cd $TDIR
ebook-convert $DOCXFN output.htmlz
unzip output.htmlz

ap--

#!/usr/bin/env python

import requests

def compile2pdf(ifile, ofile):
    """
    Sends the tex file to sciencesoft.at and compiles it to pdf.
    
    requires two file objects.
    """