glom-hypothesis.ipynb

{
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "from __future__ import unicode_literals, print_function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import collections\n",
    "import uuid\n",
    "\n",
    "import hypothesis\n",
    "import hypothesis.strategies as st\n",
    "\n",
    "import glom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "_values_base = st.one_of(st.none(), st.booleans(), st.integers(), st.floats(), st.text())\n",
    "values = st.deferred(lambda: st.one_of(_values_a, st.lists(_values_base)))\n",
    "hashable = values.filter(lambda n: isinstance(n, collections.Hashable))\n",
    "\n",
    "some_dict = st.dictionaries(keys=hashable, values=values, min_size=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Null(object):\n",
    "    pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "@st.composite\n",
    "def gen_glom_simple_dict_layer(draw, child_target_spec=({}, Null())):\n",
    "    if isinstance(child_target_spec, st.OneOfStrategy):\n",
    "        child_target_spec = draw(child_target_spec)\n",
    "    child_target, child_spec = child_target_spec\n",
    "    target_dict = draw(some_dict)\n",
    "    with_child = draw(st.dictionaries(keys=hashable,\n",
    "                                      values=st.just(child_target), min_size=1))\n",
    "    target_dict.update(with_child)\n",
    "    spec = glom.Path(draw(st.sampled_from(with_child.keys())))\n",
    "    if not isinstance(child_spec, Null):\n",
    "        spec = glom.Path(spec, child_spec)\n",
    "    return (target_dict, spec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "target_value = str(uuid.uuid4())\n",
    "a = st.deferred(lambda: gen_glom_simple_dict_layer(({'key': target_value}, 'key')) | b)\n",
    "b = st.deferred(lambda: gen_glom_simple_dict_layer(a))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'be311e8d-a1a8-4557-aa38-815f1abe5ba4'"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target, spec = b.example()\n",
    "glom.glom(target=target, spec=spec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Path(inf, True, u'key')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{-1.1: {-1.192092896e-07: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  True: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  32310: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  u'&\\r': 115},\n",
       " -0.3333333333333333: {-1.192092896e-07: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  True: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  32310: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  u'&\\r': 115},\n",
       " False: {-1.192092896e-07: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  True: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  32310: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  u'&\\r': 115},\n",
       " inf: {-1.192092896e-07: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  True: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  32310: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  u'&\\r': 115},\n",
       " u'\\ub6d2.\\U00093f87\\U000d3c16\\u9ea1(/\\U000946f5': {-1.192092896e-07: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  True: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  32310: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  u'&\\r': 115},\n",
       " u'\\U0003c9c2\\U000f663e/\\U000f2e21\\u3272\\U0002493c\\U000d0046#\\U0008cd52\\U000c4b24\\U000a5a22\\U00057016\\U00094c0a\\U000d0010\\x1f\\U000f060b\\n\\U00067928\\U00078187': {-1.192092896e-07: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  True: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  32310: {u'key': 'be311e8d-a1a8-4557-aa38-815f1abe5ba4'},\n",
       "  u'&\\r': 115}}"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(spec)\n",
    "target"
   ]
  }
 ],
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