Benchmark: excludes once vs. each time

excludes-on-the-fly.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import attr\n",
    "from attr.filters import exclude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a': 'a', 'b': 'b', 'c': 'c', 'd': 'd'}"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@attr.s(frozen=True, slots=True)\n",
    "class TestThing:\n",
    "    a = attr.ib()\n",
    "    b = attr.ib()\n",
    "    c = attr.ib()\n",
    "    d = attr.ib()\n",
    "    w = attr.ib()\n",
    "    x = attr.ib()\n",
    "    y = attr.ib()\n",
    "    z = attr.ib()\n",
    "\n",
    "    def as_dict(self):\n",
    "        d = attr.asdict(\n",
    "            self,\n",
    "            filter=exclude(\n",
    "                attr.fields(self.__class__).w,\n",
    "                attr.fields(self.__class__).x,\n",
    "                attr.fields(self.__class__).y,\n",
    "                attr.fields(self.__class__).z,\n",
    "            ),\n",
    "        )\n",
    "        return d\n",
    "    \n",
    "TestThing(*'abcdwxyz').as_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22.1 µs ± 4.2 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit tut = TestThing(1,2,3,4,5,6,7,8)\n",
    "tut.as_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a': 'a', 'b': 'b', 'c': 'c', 'd': 'd'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@attr.s(frozen=True, slots=True)\n",
    "class TestThing2:\n",
    "    a = attr.ib()\n",
    "    b = attr.ib()\n",
    "    c = attr.ib()\n",
    "    d = attr.ib()\n",
    "    w = attr.ib()\n",
    "    x = attr.ib()\n",
    "    y = attr.ib()\n",
    "    z = attr.ib()\n",
    "    \n",
    "    def as_dict(self):\n",
    "        d = attr.asdict(\n",
    "            self,\n",
    "            filter=self.__class__.excludes,\n",
    "        )\n",
    "        return d\n",
    "\n",
    "TestThing2.excludes = exclude(\n",
    "    attr.fields(TestThing2).w,\n",
    "    attr.fields(TestThing2).x,\n",
    "    attr.fields(TestThing2).y,\n",
    "    attr.fields(TestThing2).z,\n",
    ")\n",
    "    \n",
    "TestThing2(*'abcdwxyz').as_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14 µs ± 3.36 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit tut2 = TestThing2(1,2,3,4,5,6,7,8)\n",
    "tut2.as_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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