websocket data masking implementations

ws_mask.ipynb

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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "websocket data masking implementations from https://www.willmcgugan.com/blog/tech/post/speeding-up-websockets-60x/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import cycle\n",
    "def mask_cycle(mask, data):\n",
    "    return bytes(a ^ b for a, b in zip(cycle(mask), data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wsaccel.xormask import XorMaskerSimple\n",
    "def mask_wsaccel(mask, data):\n",
    "    return XorMaskerSimple(mask).process(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sys import byteorder as native_byteorder\n",
    "def mask_from_bytes(mask, data):\n",
    "    datalen = len(data)\n",
    "    data = int.from_bytes(data, native_byteorder)\n",
    "    mask = int.from_bytes(mask * (datalen // 4) + mask[: datalen % 4], native_byteorder)\n",
    "    return (data ^ mask).to_bytes(datalen, native_byteorder)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "_XOR_TABLE = [bytes(a ^ b for a in range(256)) for b in range(256)]\n",
    "def mask_translate(mask, data):\n",
    "    data_bytes = bytearray(data)\n",
    "    a, b, c, d = (_XOR_TABLE[n] for n in mask)\n",
    "    data_bytes[::4] = data_bytes[::4].translate(a)\n",
    "    data_bytes[1::4] = data_bytes[1::4].translate(b)\n",
    "    data_bytes[2::4] = data_bytes[2::4].translate(c)\n",
    "    data_bytes[3::4] = data_bytes[3::4].translate(d)\n",
    "    return bytes(data_bytes)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.28 ms ± 18.8 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n",
      "41.7 µs ± 842 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n",
      "17.9 µs ± 1.2 µs per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n",
      "20.6 µs ± 599 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "data = os.urandom(10 * 1024)\n",
    "mask = os.urandom(4)\n",
    "%timeit mask_cycle(mask, data)\n",
    "%timeit mask_from_bytes(mask, data)\n",
    "%timeit mask_translate(mask, data)\n",
    "%timeit mask_wsaccel(mask, data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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