fastai/docs/expand_adoc_templ.ipynb

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   "cell_type": "code",
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   "source": [
    "import sys\n",
    "import re"
   ]
  },
  {
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   "metadata": {},
   "outputs": [],
   "source": [
    "f = open(\"transforms.md\", \"r\")\n",
    "contents = f.read()"
   ]
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   "cell_type": "code",
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    "t = \"hello {{method Jeremy}} there {{method close}}\""
   ]
  },
  {
   "cell_type": "code",
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    "def do_method(ps): return str(ps)"
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    "fn_lu = {#'class': sub_class,\n",
    "         #'arguments': sub_arguments,\n",
    "         #'arg': sub_arg,\n",
    "         #'xref': sub_xref,\n",
    "         #'methods': sub_methods,\n",
    "         'method': do_method}"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "def sub_methods():\n",
    "    \"\"\"<h3 class=\"methods\">Methods</h3>\n",
    "        <ul class=\"methodlist\">\"\"\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "def sub_method(ps):\n",
    "    return f'<li id=\"Transform-set_state\" class=\"method\">'"
   ]
  },
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   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
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    "def do_tmpl(s):\n",
    "    inner = s.group(1)\n",
    "    fn_name,*params = inner.split(' ')\n",
    "    fn = fn_lu[fn_name]\n",
    "    return fn(params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"hello ['Jeremy'] there ['close']\""
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "re.sub(r\"{{(.*?)}}\", do_tmpl, t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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