{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os, glob\n",
    "from IPython.display import Image, display, HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "exps = sorted(glob.glob('RGIV62/*/*/qc*/pcp*/_scores'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Results of the cross-validation for various OGGM v1.4 set-ups  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('crossval.html', 'w') as of:\n",
    "    of.write('<h1>OGGM v1.4 cross-validation results</h1>')\n",
    "    for exp in exps:\n",
    "        rgi, baseline, fl, qc, pcp, _ = exp.split('/')\n",
    "        if os.path.exists(os.path.join(exp, 'scores.txt')):\n",
    "            # with open(os.path.join(exp, 'scores.txt')) as f:\n",
    "            #     scores = f.read()\n",
    "            # display(HTML(f'<h2>{rgi} {baseline} {fl} {qc} {pcp}</h2>'))\n",
    "            # display(HTML(scores.replace('\\n', '<br>')))\n",
    "            img_str = (\"<img style='width: 620px; margin: 0px; float: left; border: 0px solid black;' \"\n",
    "                       \"src={} />\".format(os.path.join(exp, 'cv_histogram.png')))\n",
    "            of.write(img_str)\n",
    "\n",
    "#             display(HTML(img_str))\n",
    "#             display(HTML('<br>'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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