Treap vs Set benchmark

gistfile1.txt

{
 "metadata": {
  "name": "Plot Benchmarks"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%pylab inline\n",
      "import pandas as pd\n",
      "pd.options.display.max_columns = 50"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].\n",
        "For more information, type 'help(pylab)'.\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from pylab import plot"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def buildResults(results, name):\n",
      "    figure(num=None, figsize=(12, 8))\n",
      "\n",
      "    for result in results.iterrows():\n",
      "        data = list(result[1].iteritems())\n",
      "        name = data[0][1]\n",
      "        data = data[1:]\n",
      "        x = [int(v[0]) for v in data]\n",
      "        y = [v[1] for v in data]\n",
      "        plot(x, y, label=name)\n",
      "        \n",
      "    legend(loc='upper left', fancybox=True, shadow=True, prop=dict(size=15))\n",
      "    grid(True, which=\"major\", linestyle=\"dotted\")\n",
      "    xlabel(\"Size (elements)\", fontsize=13)\n",
      "    ylabel(\"Response time (usec)\", fontsize=13)\n",
      "    #xscale('log')\n",
      "    xticks(fontsize=11)\n",
      "    yticks(fontsize=11)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "find_results = pd.read_csv('results_find.csv', skipfooter=1)\n",
      "find_results = find_results.drop(find_results.columns[-1], axis=1)\n",
      "buildResults(find_results, 'find')\n",
      "find_results"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>TreeFind</th>\n",
        "      <th>2</th>\n",
        "      <th>4</th>\n",
        "      <th>8</th>\n",
        "      <th>16</th>\n",
        "      <th>32</th>\n",
        "      <th>64</th>\n",
        "      <th>128</th>\n",
        "      <th>256</th>\n",
        "      <th>512</th>\n",
        "      <th>1024</th>\n",
        "      <th>2048</th>\n",
        "      <th>4096</th>\n",
        "      <th>8192</th>\n",
        "      <th>16384</th>\n",
        "      <th>32768</th>\n",
        "      <th>65536</th>\n",
        "      <th>131072</th>\n",
        "      <th>262144</th>\n",
        "      <th>524288</th>\n",
        "      <th>1048576</th>\n",
        "      <th>2097152</th>\n",
        "      <th>4194304</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>      StdSet</td>\n",
        "      <td> 111.75</td>\n",
        "      <td> 111.31</td>\n",
        "      <td> 112.33</td>\n",
        "      <td> 112.50</td>\n",
        "      <td> 113.04</td>\n",
        "      <td> 116.26</td>\n",
        "      <td> 120.24</td>\n",
        "      <td> 128.83</td>\n",
        "      <td> 145.62</td>\n",
        "      <td> 174.79</td>\n",
        "      <td> 238.29</td>\n",
        "      <td> 363.08</td>\n",
        "      <td> 607.80</td>\n",
        "      <td> 1094.06</td>\n",
        "      <td> 2059.28</td>\n",
        "      <td> 3985.83</td>\n",
        "      <td> 7883.24</td>\n",
        "      <td> 15705.7</td>\n",
        "      <td> 31253.9</td>\n",
        "      <td> 62016.5</td>\n",
        "      <td> 124255</td>\n",
        "      <td> 248684</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>       Treap</td>\n",
        "      <td> 104.03</td>\n",
        "      <td> 104.28</td>\n",
        "      <td> 103.50</td>\n",
        "      <td> 105.15</td>\n",
        "      <td> 105.34</td>\n",
        "      <td> 108.47</td>\n",
        "      <td> 113.41</td>\n",
        "      <td> 120.52</td>\n",
        "      <td> 137.67</td>\n",
        "      <td> 163.92</td>\n",
        "      <td> 228.70</td>\n",
        "      <td> 343.45</td>\n",
        "      <td> 582.53</td>\n",
        "      <td> 1067.01</td>\n",
        "      <td> 2044.24</td>\n",
        "      <td> 3949.67</td>\n",
        "      <td> 7857.31</td>\n",
        "      <td> 15524.2</td>\n",
        "      <td> 30807.5</td>\n",
        "      <td> 61563.0</td>\n",
        "      <td> 124189</td>\n",
        "      <td> 246795</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> TreapVector</td>\n",
        "      <td>  78.46</td>\n",
        "      <td>  79.15</td>\n",
        "      <td>  79.04</td>\n",
        "      <td>  78.80</td>\n",
        "      <td>  81.07</td>\n",
        "      <td>  82.30</td>\n",
        "      <td>  86.88</td>\n",
        "      <td>  96.09</td>\n",
        "      <td> 112.75</td>\n",
        "      <td> 146.19</td>\n",
        "      <td> 207.72</td>\n",
        "      <td> 340.18</td>\n",
        "      <td> 595.12</td>\n",
        "      <td> 1149.05</td>\n",
        "      <td> 2092.86</td>\n",
        "      <td> 4209.70</td>\n",
        "      <td> 8223.57</td>\n",
        "      <td> 16054.9</td>\n",
        "      <td> 33672.5</td>\n",
        "      <td> 65941.3</td>\n",
        "      <td> 132166</td>\n",
        "      <td> 258457</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 177,
       "text": [
        "      TreeFind       2       4       8      16      32      64     128  \\\n",
        "0       StdSet  111.75  111.31  112.33  112.50  113.04  116.26  120.24   \n",
        "1        Treap  104.03  104.28  103.50  105.15  105.34  108.47  113.41   \n",
        "2  TreapVector   78.46   79.15   79.04   78.80   81.07   82.30   86.88   \n",
        "\n",
        "      256     512    1024    2048    4096    8192    16384    32768    65536  \\\n",
        "0  128.83  145.62  174.79  238.29  363.08  607.80  1094.06  2059.28  3985.83   \n",
        "1  120.52  137.67  163.92  228.70  343.45  582.53  1067.01  2044.24  3949.67   \n",
        "2   96.09  112.75  146.19  207.72  340.18  595.12  1149.05  2092.86  4209.70   \n",
        "\n",
        "    131072   262144   524288  1048576  2097152  4194304  \n",
        "0  7883.24  15705.7  31253.9  62016.5   124255   248684  \n",
        "1  7857.31  15524.2  30807.5  61563.0   124189   246795  \n",
        "2  8223.57  16054.9  33672.5  65941.3   132166   258457  "
       ]
      },
      {
       "output_type": "display_data",
       "png": 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JnLIyo5zMKKe/OXgQ+veHCxfs3YBq13a+5IqsDhyw//J//jzMnQsPPWSxdN9S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\n/wCfAGdipgUPuAAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 177
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "insert_results = pd.read_csv('./results_insert.csv', skipfooter=1)\n",
      "insert_results = insert_results.drop(insert_results.columns[-1], axis=1)\n",
      "buildResults(insert_results, 'insert')\n",
      "insert_results"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>TreeInsert</th>\n",
        "      <th>2</th>\n",
        "      <th>4</th>\n",
        "      <th>8</th>\n",
        "      <th>16</th>\n",
        "      <th>32</th>\n",
        "      <th>64</th>\n",
        "      <th>128</th>\n",
        "      <th>256</th>\n",
        "      <th>512</th>\n",
        "      <th>1024</th>\n",
        "      <th>2048</th>\n",
        "      <th>4096</th>\n",
        "      <th>8192</th>\n",
        "      <th>16384</th>\n",
        "      <th>32768</th>\n",
        "      <th>65536</th>\n",
        "      <th>131072</th>\n",
        "      <th>262144</th>\n",
        "      <th>524288</th>\n",
        "      <th>1048576</th>\n",
        "      <th>2097152</th>\n",
        "      <th>4194304</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>      StdSet</td>\n",
        "      <td> 0.11</td>\n",
        "      <td> 0.22</td>\n",
        "      <td> 0.42</td>\n",
        "      <td> 0.86</td>\n",
        "      <td> 1.99</td>\n",
        "      <td> 4.03</td>\n",
        "      <td> 8.29</td>\n",
        "      <td> 19.58</td>\n",
        "      <td> 48.46</td>\n",
        "      <td> 115.58</td>\n",
        "      <td> 272.24</td>\n",
        "      <td> 616.79</td>\n",
        "      <td> 1482.23</td>\n",
        "      <td> 3560.61</td>\n",
        "      <td> 8187.48</td>\n",
        "      <td> 19199.5</td>\n",
        "      <td> 44267.1</td>\n",
        "      <td> 100639.0</td>\n",
        "      <td> 265446</td>\n",
        "      <td> 747791</td>\n",
        "      <td> 1969610</td>\n",
        "      <td> 4863990</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>       Treap</td>\n",
        "      <td> 0.14</td>\n",
        "      <td> 0.20</td>\n",
        "      <td> 0.37</td>\n",
        "      <td> 0.81</td>\n",
        "      <td> 1.61</td>\n",
        "      <td> 3.30</td>\n",
        "      <td> 7.12</td>\n",
        "      <td> 15.87</td>\n",
        "      <td> 40.44</td>\n",
        "      <td> 107.51</td>\n",
        "      <td> 261.65</td>\n",
        "      <td> 615.63</td>\n",
        "      <td> 1522.98</td>\n",
        "      <td> 3744.50</td>\n",
        "      <td> 8758.13</td>\n",
        "      <td> 21003.3</td>\n",
        "      <td> 49413.5</td>\n",
        "      <td> 114738.0</td>\n",
        "      <td> 295027</td>\n",
        "      <td> 816223</td>\n",
        "      <td> 2166760</td>\n",
        "      <td> 5457580</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> TreapVector</td>\n",
        "      <td> 0.15</td>\n",
        "      <td> 0.23</td>\n",
        "      <td> 0.49</td>\n",
        "      <td> 0.74</td>\n",
        "      <td> 1.27</td>\n",
        "      <td> 2.28</td>\n",
        "      <td> 4.47</td>\n",
        "      <td> 10.32</td>\n",
        "      <td> 28.14</td>\n",
        "      <td>  82.19</td>\n",
        "      <td> 214.39</td>\n",
        "      <td> 535.23</td>\n",
        "      <td> 1247.37</td>\n",
        "      <td> 2868.31</td>\n",
        "      <td> 6709.34</td>\n",
        "      <td> 14243.6</td>\n",
        "      <td> 33296.2</td>\n",
        "      <td>  77756.1</td>\n",
        "      <td> 181340</td>\n",
        "      <td> 438710</td>\n",
        "      <td> 1157050</td>\n",
        "      <td> 3016550</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 178,
       "text": [
        "    TreeInsert     2     4     8    16    32    64   128    256    512  \\\n",
        "0       StdSet  0.11  0.22  0.42  0.86  1.99  4.03  8.29  19.58  48.46   \n",
        "1        Treap  0.14  0.20  0.37  0.81  1.61  3.30  7.12  15.87  40.44   \n",
        "2  TreapVector  0.15  0.23  0.49  0.74  1.27  2.28  4.47  10.32  28.14   \n",
        "\n",
        "     1024    2048    4096     8192    16384    32768    65536   131072  \\\n",
        "0  115.58  272.24  616.79  1482.23  3560.61  8187.48  19199.5  44267.1   \n",
        "1  107.51  261.65  615.63  1522.98  3744.50  8758.13  21003.3  49413.5   \n",
        "2   82.19  214.39  535.23  1247.37  2868.31  6709.34  14243.6  33296.2   \n",
        "\n",
        "     262144  524288  1048576  2097152  4194304  \n",
        "0  100639.0  265446   747791  1969610  4863990  \n",
        "1  114738.0  295027   816223  2166760  5457580  \n",
        "2   77756.1  181340   438710  1157050  3016550  "
       ]
      },
      {
       "output_type": "display_data",
       "png": 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ICgqiffv2NGnShOeff/6azxs1ahSff/45n3/+OTlz5mTYsGE0aNDA638/cTaN9TWnrMwo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\nHRnSAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 178
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "erase_results = pd.read_csv('./results_erase.csv', skipfooter=1)\n",
      "erase_results = erase_results.drop(erase_results.columns[-1], axis=1)\n",
      "buildResults(erase_results, 'insert')\n",
      "erase_results"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>TreeErase</th>\n",
        "      <th>2</th>\n",
        "      <th>4</th>\n",
        "      <th>8</th>\n",
        "      <th>16</th>\n",
        "      <th>32</th>\n",
        "      <th>64</th>\n",
        "      <th>128</th>\n",
        "      <th>256</th>\n",
        "      <th>512</th>\n",
        "      <th>1024</th>\n",
        "      <th>2048</th>\n",
        "      <th>4096</th>\n",
        "      <th>8192</th>\n",
        "      <th>16384</th>\n",
        "      <th>32768</th>\n",
        "      <th>65536</th>\n",
        "      <th>131072</th>\n",
        "      <th>262144</th>\n",
        "      <th>524288</th>\n",
        "      <th>1048576</th>\n",
        "      <th>2097152</th>\n",
        "      <th>4194304</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>      StdSet</td>\n",
        "      <td> 0.17</td>\n",
        "      <td> 0.30</td>\n",
        "      <td> 0.66</td>\n",
        "      <td> 1.37</td>\n",
        "      <td> 2.82</td>\n",
        "      <td> 5.94</td>\n",
        "      <td> 13.58</td>\n",
        "      <td> 37.81</td>\n",
        "      <td> 91.31</td>\n",
        "      <td> 213.67</td>\n",
        "      <td> 480.81</td>\n",
        "      <td> 1096.62</td>\n",
        "      <td> 2670.98</td>\n",
        "      <td> 6352.46</td>\n",
        "      <td> 14656.9</td>\n",
        "      <td> 34689.0</td>\n",
        "      <td> 80549.8</td>\n",
        "      <td> 184941</td>\n",
        "      <td> 476416</td>\n",
        "      <td> 1331490</td>\n",
        "      <td> 3551710</td>\n",
        "      <td>  8955880</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>       Treap</td>\n",
        "      <td> 0.14</td>\n",
        "      <td> 0.22</td>\n",
        "      <td> 0.41</td>\n",
        "      <td> 0.88</td>\n",
        "      <td> 1.85</td>\n",
        "      <td> 4.23</td>\n",
        "      <td>  9.89</td>\n",
        "      <td> 25.46</td>\n",
        "      <td> 65.26</td>\n",
        "      <td> 166.87</td>\n",
        "      <td> 398.07</td>\n",
        "      <td>  942.29</td>\n",
        "      <td> 2372.28</td>\n",
        "      <td> 5988.00</td>\n",
        "      <td> 14365.2</td>\n",
        "      <td> 35825.2</td>\n",
        "      <td> 86718.9</td>\n",
        "      <td> 203573</td>\n",
        "      <td> 517904</td>\n",
        "      <td> 1442050</td>\n",
        "      <td> 3893290</td>\n",
        "      <td> 10108900</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> TreapVector</td>\n",
        "      <td> 0.15</td>\n",
        "      <td> 0.37</td>\n",
        "      <td> 0.55</td>\n",
        "      <td> 0.88</td>\n",
        "      <td> 1.76</td>\n",
        "      <td> 3.62</td>\n",
        "      <td>  7.73</td>\n",
        "      <td> 19.85</td>\n",
        "      <td> 58.13</td>\n",
        "      <td> 161.11</td>\n",
        "      <td> 380.21</td>\n",
        "      <td>  928.62</td>\n",
        "      <td> 2202.54</td>\n",
        "      <td> 5088.73</td>\n",
        "      <td> 12289.2</td>\n",
        "      <td> 28878.3</td>\n",
        "      <td> 64772.0</td>\n",
        "      <td> 154822</td>\n",
        "      <td> 364629</td>\n",
        "      <td>  919700</td>\n",
        "      <td> 2432330</td>\n",
        "      <td>  6459140</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "     TreeErase     2     4     8    16    32    64    128    256    512  \\\n",
        "0       StdSet  0.17  0.30  0.66  1.37  2.82  5.94  13.58  37.81  91.31   \n",
        "1        Treap  0.14  0.22  0.41  0.88  1.85  4.23   9.89  25.46  65.26   \n",
        "2  TreapVector  0.15  0.37  0.55  0.88  1.76  3.62   7.73  19.85  58.13   \n",
        "\n",
        "     1024    2048     4096     8192    16384    32768    65536   131072  \\\n",
        "0  213.67  480.81  1096.62  2670.98  6352.46  14656.9  34689.0  80549.8   \n",
        "1  166.87  398.07   942.29  2372.28  5988.00  14365.2  35825.2  86718.9   \n",
        "2  161.11  380.21   928.62  2202.54  5088.73  12289.2  28878.3  64772.0   \n",
        "\n",
        "   262144  524288  1048576  2097152   4194304  \n",
        "0  184941  476416  1331490  3551710   8955880  \n",
        "1  203573  517904  1442050  3893290  10108900  \n",
        "2  154822  364629   919700  2432330   6459140  "
       ]
      },
      {
       "output_type": "display_data",
       "png": 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TOWVlRjmZCQoKYvXPq6k6syotSrdgXZt1atBdjFbSRURERFKRiJgIJu6eyAGv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      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 178
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}