{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [],
   "source": [
    "from typing import Dict\n",
    "import uuid\n",
    "from uhashring import HashRing"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [],
   "source": [
    "def rnd_key() -> str:\n",
    "    return uuid.uuid4().hex\n",
    "\n",
    "def print_hist(counts: Dict[str, int]):\n",
    "    total = sum(list(counts.values()))\n",
    "    hist = {\n",
    "        k: \"%.2f %%\" % (v / total * 100,)\n",
    "        for k, v in counts.items()\n",
    "    }\n",
    "    print(hist)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "at begin, only two nodes\n",
      "test with 1000 requests\n",
      "{'n1': '52.00 %', 'n2': '48.00 %'}\n"
     ]
    }
   ],
   "source": [
    "print(\"at begin, only two nodes\")\n",
    "hr = HashRing(nodes=[\"n1\", \"n2\"])\n",
    "counts = {\"n1\": 0, \"n2\": 0}\n",
    "n_test = 1000\n",
    "for _ in range(n_test):\n",
    "    counts[hr.get_node(rnd_key())] += 1\n",
    "print(f\"test with {n_test} requests\")\n",
    "print_hist(counts)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "add third node\n",
      "test with 1000 requests\n",
      "{'n1': '33.00 %', 'n2': '32.40 %', 'n3': '34.60 %'}\n"
     ]
    }
   ],
   "source": [
    "print(\"add third node\")\n",
    "hr.add_node(\"n3\")\n",
    "counts = {\"n1\": 0, \"n2\": 0, \"n3\": 0}\n",
    "for _ in range(n_test):\n",
    "    counts[hr.get_node(rnd_key())] += 1\n",
    "print(f\"test with {n_test} requests\")\n",
    "print_hist(counts)\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "add fourth node\n",
      "test with 1000 requests\n",
      "{'n1': '25.50 %', 'n2': '24.00 %', 'n3': '25.10 %', 'n4': '25.40 %'}\n"
     ]
    }
   ],
   "source": [
    "print(\"add fourth node\")\n",
    "hr.add_node(\"n4\")\n",
    "counts = {\"n1\": 0, \"n2\": 0, \"n3\": 0, \"n4\": 0}\n",
    "for _ in range(n_test):\n",
    "    counts[hr.get_node(rnd_key())] += 1\n",
    "print(f\"test with {n_test} requests\")\n",
    "print_hist(counts)\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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