{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "bench = pd.concat([\n",
    "    pd.read_table(\"CompactBitVector.tsv\"),\n",
    "    pd.read_table(\"SucVector.tsv\"),\n",
    "    pd.read_table(\"RRR.tsv\"),\n",
    "    pd.read_table(\"LargeRRR.tsv\")\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# remove package name\n",
    "bench.type = map(lambda s: s.split(\".\")[1], bench.type)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "figsize(12, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_bench(name, r, logy=True):\n",
    "    bench[bench.r == r]\\\n",
    "        .pivot(index=\"length\", columns=\"type\", values=\"bench_\" + name)\\\n",
    "        .plot(style=\"o-\")\n",
    "    title(\"{} (r = {})\".format(name, r))\n",
    "    xscale(\"log\", basex=2)\n",
    "    ylabel(\"sec / op\")\n",
    "    if logy:\n",
    "        yscale(\"log\")\n",
    "    else:\n",
    "        ticklabel_format(style=\"scientific\", axis=\"y\", scilimits=(0,0))\n",
    "    grid()\n",
    "    savefig(\"{}_{}.png\".format(name, r))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The result shows operation time (second per operation) of `getindex`, `rank1`, and `select1`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### dense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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YgllXD8eO27FDoRCVRXhcXp6eWbNGeuYZ++RZViYVFdW+mN65U9q7V0pN9S+k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\nEREREREREREREREREREREZGU9/8BBmSylWp5Hb4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x105970590>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bench(\"getindex\", 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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LX1ms7zq8Sxv2bgi4N37nwp0qH1DuDObTHz/k4SFq9O9aFLbVXNIbpof0uAZJDardVpPX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\nERERERERERERERERkbL3/wFNOel5VaIr5gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106fd5910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bench(\"rank1\", 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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h0ZJy9913Y+fOnSguLgYArF+/HnfddRe8vLzw2muv4cknn0RKSgo8PT3x5JNP4rvvvsOp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\nkiRJkiRJkiRJkiRJkiRpVPx/EIc9C/IBZn8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1072a1890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bench(\"select1\", 0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### sparse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AIaAnHAAAAGhBKMLjGC05FllYZGGRhUUWFllYZGGRhUUWkUERDgAAADQzesIB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\n0pSRkaHBgwfrjTfeiMavEjc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rvkveTTeZFa++2uBxwx3jwIEDplOnTmbixIlm1apVZu/e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\nAPvtaDr0GgNDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106f61450>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bench(\"getindex\", 0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1o7+Zme08sNiLq+dFWprzJ9b8/NDu39joFFgHKuK/+0768suWrTQ7dqj0229b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\nIiIiIiLS8P4/NwxeftTEWJcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106fa22d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bench(\"rank1\", 0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1TfdhkJKSgtTUVDz99NPYsmULANlSEh8fjyVLluD222/HQw89ZDGLHRAQgH//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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1073a4350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bench(\"select1\", 0.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### very sparse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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V/QrsGWNmhBXYo4pGJfz3AQAAyDQej0cejyeuZdh6JLxue53W3D/8PXb9fr+6eroGLNZD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\niIiIiIiIiIiIiIiIiIiIiIiItHj/H6/lTDzKC0iGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10730e750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bench(\"getindex\", 0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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NhFdIelfmoMstkl6WOTjz7UGul5FwAAAAZFwhjoQ/LDPd4DSZPvCrJfklfV3S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\nREREREREmr3/D+Hh5JtMJo20AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106db01d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bench(\"rank1\", 0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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UtUMiA8vOy8b4jeMxafMkRA6LxMc9P4adrZ3aYRERkRljSwkZxb38e5i1axZ+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+1AfV3UhLKwlIWlLCxlYSkLS1l4hrpRxW+cfDJMngyTJpkTGufPN8sKdugAPXqksWLFcrZufRxY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\nSZIkSWqIX2T/emfFNonwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106ab01d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bench(\"select1\", 0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pd.options.display.max_rows = 1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>length</th>\n",
       "      <th>r</th>\n",
       "      <th>bench_getindex</th>\n",
       "      <th>bench_rank1</th>\n",
       "      <th>bench_select1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.345151e-09</td>\n",
       "      <td>1.089107e-09</td>\n",
       "      <td>1.387914e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.086814e-09</td>\n",
       "      <td>5.505452e-10</td>\n",
       "      <td>1.190852e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.055945e-09</td>\n",
       "      <td>5.673192e-10</td>\n",
       "      <td>1.051917e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.250713e-09</td>\n",
       "      <td>7.280791e-10</td>\n",
       "      <td>1.174915e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.01</td>\n",
       "      <td>9.965591e-10</td>\n",
       "      <td>5.151887e-10</td>\n",
       "      <td>1.255847e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.264959e-09</td>\n",
       "      <td>4.969864e-10</td>\n",
       "      <td>1.437504e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.048179e-09</td>\n",
       "      <td>5.761096e-10</td>\n",
       "      <td>1.277089e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.092204e-09</td>\n",
       "      <td>4.839556e-10</td>\n",
       "      <td>1.327523e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.212893e-09</td>\n",
       "      <td>7.043719e-10</td>\n",
       "      <td>1.542759e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.027694e-09</td>\n",
       "      <td>4.840958e-10</td>\n",
       "      <td>1.350173e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.072107e-09</td>\n",
       "      <td>4.881632e-10</td>\n",
       "      <td>1.434298e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.137992e-09</td>\n",
       "      <td>6.940799e-10</td>\n",
       "      <td>1.754343e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.015003e-09</td>\n",
       "      <td>5.883138e-10</td>\n",
       "      <td>1.889744e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.10</td>\n",
       "      <td>9.892070e-10</td>\n",
       "      <td>5.147293e-10</td>\n",
       "      <td>2.632452e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.064315e-09</td>\n",
       "      <td>4.987495e-10</td>\n",
       "      <td>3.174713e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.10</td>\n",
       "      <td>9.748447e-10</td>\n",
       "      <td>5.069270e-10</td>\n",
       "      <td>3.505566e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.10</td>\n",
       "      <td>9.685864e-10</td>\n",
       "      <td>5.709505e-10</td>\n",
       "      <td>3.186957e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.10</td>\n",
       "      <td>9.672930e-10</td>\n",
       "      <td>4.921985e-10</td>\n",
       "      <td>3.298815e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.10</td>\n",
       "      <td>9.982483e-10</td>\n",
       "      <td>4.966464e-10</td>\n",
       "      <td>3.508962e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.10</td>\n",
       "      <td>9.747987e-10</td>\n",
       "      <td>4.839420e-10</td>\n",
       "      <td>3.897124e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.10</td>\n",
       "      <td>9.688348e-10</td>\n",
       "      <td>4.871001e-10</td>\n",
       "      <td>4.081599e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.059967e-09</td>\n",
       "      <td>4.878574e-10</td>\n",
       "      <td>5.522714e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.132616e-09</td>\n",
       "      <td>7.027550e-10</td>\n",
       "      <td>4.825072e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.134642e-09</td>\n",
       "      <td>5.463512e-10</td>\n",
       "      <td>7.696368e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.50</td>\n",
       "      <td>9.743023e-10</td>\n",
       "      <td>5.206652e-10</td>\n",
       "      <td>9.500369e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.016924e-09</td>\n",
       "      <td>4.931512e-10</td>\n",
       "      <td>1.018655e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.005617e-09</td>\n",
       "      <td>5.896056e-10</td>\n",
       "      <td>1.097038e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.50</td>\n",
       "      <td>9.829810e-10</td>\n",
       "      <td>5.425515e-10</td>\n",
       "      <td>1.136305e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.50</td>\n",
       "      <td>9.707210e-10</td>\n",
       "      <td>5.001440e-10</td>\n",
       "      <td>1.253409e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.50</td>\n",
       "      <td>9.597192e-10</td>\n",
       "      <td>4.946260e-10</td>\n",
       "      <td>1.415620e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.50</td>\n",
       "      <td>9.847541e-10</td>\n",
       "      <td>4.915171e-10</td>\n",
       "      <td>1.474177e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.169112e-09</td>\n",
       "      <td>4.844056e-10</td>\n",
       "      <td>1.515289e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>CompactBitVector</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.061399e-09</td>\n",
       "      <td>4.878827e-10</td>\n",
       "      <td>2.373968e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.01</td>\n",
       "      <td>9.296966e-10</td>\n",
       "      <td>7.024148e-10</td>\n",
       "      <td>1.377899e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.01</td>\n",
       "      <td>5.476806e-10</td>\n",
       "      <td>8.188248e-10</td>\n",
       "      <td>1.340988e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.01</td>\n",
       "      <td>5.553980e-10</td>\n",
       "      <td>5.220163e-10</td>\n",
       "      <td>1.582036e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.01</td>\n",
       "      <td>5.222585e-10</td>\n",
       "      <td>4.958749e-10</td>\n",
       "      <td>1.425094e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.01</td>\n",
       "      <td>7.701297e-10</td>\n",
       "      <td>5.780656e-10</td>\n",
       "      <td>1.400882e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.01</td>\n",
       "      <td>4.946909e-10</td>\n",
       "      <td>4.913583e-10</td>\n",
       "      <td>1.502046e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.01</td>\n",
       "      <td>6.564791e-10</td>\n",
       "      <td>5.636210e-10</td>\n",
       "      <td>1.488853e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.01</td>\n",
       "      <td>4.839499e-10</td>\n",
       "      <td>5.652239e-10</td>\n",
       "      <td>1.596462e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.01</td>\n",
       "      <td>5.040133e-10</td>\n",
       "      <td>4.839354e-10</td>\n",
       "      <td>1.574822e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.01</td>\n",
       "      <td>5.129973e-10</td>\n",
       "      <td>5.069458e-10</td>\n",
       "      <td>1.599031e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.01</td>\n",
       "      <td>5.304270e-10</td>\n",
       "      <td>5.372372e-10</td>\n",
       "      <td>1.738206e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.118354e-09</td>\n",
       "      <td>7.129514e-10</td>\n",
       "      <td>2.208915e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.10</td>\n",
       "      <td>5.548525e-10</td>\n",
       "      <td>5.478623e-10</td>\n",
       "      <td>2.378241e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.10</td>\n",
       "      <td>5.048091e-10</td>\n",
       "      <td>5.800121e-10</td>\n",
       "      <td>3.164378e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.10</td>\n",
       "      <td>9.626167e-10</td>\n",
       "      <td>5.153158e-10</td>\n",
       "      <td>3.450101e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.10</td>\n",
       "      <td>4.919088e-10</td>\n",
       "      <td>5.780592e-10</td>\n",
       "      <td>3.983448e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.10</td>\n",
       "      <td>5.075872e-10</td>\n",
       "      <td>4.879177e-10</td>\n",
       "      <td>3.971256e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.10</td>\n",
       "      <td>4.910557e-10</td>\n",
       "      <td>5.166223e-10</td>\n",
       "      <td>4.174172e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.10</td>\n",
       "      <td>4.884722e-10</td>\n",
       "      <td>4.886682e-10</td>\n",
       "      <td>4.365922e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.10</td>\n",
       "      <td>4.845481e-10</td>\n",
       "      <td>5.259576e-10</td>\n",
       "      <td>4.962912e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.10</td>\n",
       "      <td>4.841522e-10</td>\n",
       "      <td>4.881558e-10</td>\n",
       "      <td>4.703194e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.10</td>\n",
       "      <td>5.808690e-10</td>\n",
       "      <td>5.379685e-10</td>\n",
       "      <td>5.266313e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.50</td>\n",
       "      <td>9.548991e-10</td>\n",
       "      <td>7.073236e-10</td>\n",
       "      <td>6.379537e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.50</td>\n",
       "      <td>5.487809e-10</td>\n",
       "      <td>6.375170e-10</td>\n",
       "      <td>9.996026e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.50</td>\n",
       "      <td>5.857460e-10</td>\n",
       "      <td>5.486987e-10</td>\n",
       "      <td>1.198403e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.50</td>\n",
       "      <td>7.734530e-10</td>\n",
       "      <td>5.370657e-10</td>\n",
       "      <td>1.344881e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.976175e-10</td>\n",
       "      <td>8.046229e-10</td>\n",
       "      <td>1.345314e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.971538e-10</td>\n",
       "      <td>5.166597e-10</td>\n",
       "      <td>1.513672e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.967237e-10</td>\n",
       "      <td>5.659256e-10</td>\n",
       "      <td>1.604264e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.869080e-10</td>\n",
       "      <td>5.770164e-10</td>\n",
       "      <td>1.659357e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.844873e-10</td>\n",
       "      <td>4.874899e-10</td>\n",
       "      <td>1.776878e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.889215e-10</td>\n",
       "      <td>5.166654e-10</td>\n",
       "      <td>1.905493e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>SucVector</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.942066e-10</td>\n",
       "      <td>4.901402e-10</td>\n",
       "      <td>2.055738e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RRR</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.441781e-08</td>\n",
       "      <td>3.490671e-08</td>\n",
       "      <td>3.885704e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RRR</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.579069e-08</td>\n",
       "      <td>3.697433e-08</td>\n",
       "      <td>3.431738e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RRR</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.483607e-08</td>\n",
       "      <td>3.550530e-08</td>\n",
       "      <td>3.779558e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RRR</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.794330e-08</td>\n",
       "      <td>3.655816e-08</td>\n",
       "      <td>3.746658e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RRR</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.754601e-08</td>\n",
       "      <td>3.806678e-08</td>\n",
       "      <td>4.229694e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>RRR</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.682849e-08</td>\n",
       "      <td>3.880979e-08</td>\n",
       "      <td>4.004179e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>RRR</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.655731e-08</td>\n",
       "      <td>3.823807e-08</td>\n",
       "      <td>4.822628e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>RRR</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.666237e-08</td>\n",
       "      <td>3.491394e-08</td>\n",
       "      <td>4.131398e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>RRR</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.906775e-08</td>\n",
       "      <td>3.607488e-08</td>\n",
       "      <td>4.689900e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>RRR</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.668992e-08</td>\n",
       "      <td>3.607852e-08</td>\n",
       "      <td>4.049754e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>RRR</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.735148e-08</td>\n",
       "      <td>3.680100e-08</td>\n",
       "      <td>4.640783e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>RRR</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.10</td>\n",
       "      <td>4.024846e-08</td>\n",
       "      <td>3.796337e-08</td>\n",
       "      <td>8.043339e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>RRR</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.10</td>\n",
       "      <td>3.864635e-08</td>\n",
       "      <td>4.020459e-08</td>\n",
       "      <td>8.827926e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>RRR</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.10</td>\n",
       "      <td>3.883256e-08</td>\n",
       "      <td>3.913251e-08</td>\n",
       "      <td>9.672428e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>RRR</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.10</td>\n",
       "      <td>3.900821e-08</td>\n",
       "      <td>4.087748e-08</td>\n",
       "      <td>1.065240e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>RRR</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.10</td>\n",
       "      <td>3.874913e-08</td>\n",
       "      <td>3.756109e-08</td>\n",
       "      <td>1.179822e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>RRR</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.10</td>\n",
       "      <td>4.023338e-08</td>\n",
       "      <td>4.109999e-08</td>\n",
       "      <td>1.210701e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>RRR</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.10</td>\n",
       "      <td>3.967288e-08</td>\n",
       "      <td>3.832332e-08</td>\n",
       "      <td>1.474409e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>RRR</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.10</td>\n",
       "      <td>4.010929e-08</td>\n",
       "      <td>3.894474e-08</td>\n",
       "      <td>1.443287e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>RRR</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.10</td>\n",
       "      <td>3.957294e-08</td>\n",
       "      <td>3.928270e-08</td>\n",
       "      <td>1.533886e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>RRR</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.10</td>\n",
       "      <td>3.987384e-08</td>\n",
       "      <td>4.204407e-08</td>\n",
       "      <td>1.556958e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>RRR</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.10</td>\n",
       "      <td>4.246645e-08</td>\n",
       "      <td>4.081548e-08</td>\n",
       "      <td>1.681173e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>RRR</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.50</td>\n",
       "      <td>3.802303e-08</td>\n",
       "      <td>3.971923e-08</td>\n",
       "      <td>2.537505e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>RRR</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.232418e-08</td>\n",
       "      <td>4.108492e-08</td>\n",
       "      <td>3.257695e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>RRR</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.50</td>\n",
       "      <td>3.812072e-08</td>\n",
       "      <td>4.213742e-08</td>\n",
       "      <td>3.741268e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>RRR</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.023949e-08</td>\n",
       "      <td>3.966833e-08</td>\n",
       "      <td>4.068046e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>RRR</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.50</td>\n",
       "      <td>3.773928e-08</td>\n",
       "      <td>4.131214e-08</td>\n",
       "      <td>4.356947e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>RRR</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.50</td>\n",
       "      <td>3.846935e-08</td>\n",
       "      <td>4.103451e-08</td>\n",
       "      <td>4.827074e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>RRR</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.50</td>\n",
       "      <td>3.849704e-08</td>\n",
       "      <td>4.046939e-08</td>\n",
       "      <td>5.208089e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>RRR</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.023410e-08</td>\n",
       "      <td>4.082892e-08</td>\n",
       "      <td>5.766204e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>RRR</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.039431e-08</td>\n",
       "      <td>4.484450e-08</td>\n",
       "      <td>6.047385e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>RRR</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.026568e-08</td>\n",
       "      <td>4.307281e-08</td>\n",
       "      <td>6.663900e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>RRR</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.013457e-08</td>\n",
       "      <td>4.119111e-08</td>\n",
       "      <td>7.154228e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.01</td>\n",
       "      <td>8.023082e-08</td>\n",
       "      <td>7.955678e-08</td>\n",
       "      <td>4.834036e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.01</td>\n",
       "      <td>7.695358e-08</td>\n",
       "      <td>7.746356e-08</td>\n",
       "      <td>5.045836e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.01</td>\n",
       "      <td>8.587621e-08</td>\n",
       "      <td>8.838561e-08</td>\n",
       "      <td>6.387574e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.01</td>\n",
       "      <td>8.963918e-08</td>\n",
       "      <td>8.679650e-08</td>\n",
       "      <td>4.943700e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.01</td>\n",
       "      <td>9.150199e-08</td>\n",
       "      <td>8.568312e-08</td>\n",
       "      <td>5.621138e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.01</td>\n",
       "      <td>8.850931e-08</td>\n",
       "      <td>9.124375e-08</td>\n",
       "      <td>7.233315e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.01</td>\n",
       "      <td>8.848737e-08</td>\n",
       "      <td>9.355794e-08</td>\n",
       "      <td>6.593454e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.01</td>\n",
       "      <td>9.156619e-08</td>\n",
       "      <td>9.158794e-08</td>\n",
       "      <td>6.454996e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.01</td>\n",
       "      <td>8.692829e-08</td>\n",
       "      <td>8.701026e-08</td>\n",
       "      <td>7.301309e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.01</td>\n",
       "      <td>8.731957e-08</td>\n",
       "      <td>8.931782e-08</td>\n",
       "      <td>7.369421e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.01</td>\n",
       "      <td>8.756829e-08</td>\n",
       "      <td>8.889485e-08</td>\n",
       "      <td>6.619541e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.188172e-07</td>\n",
       "      <td>1.298908e-07</td>\n",
       "      <td>1.947715e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.391386e-07</td>\n",
       "      <td>1.441132e-07</td>\n",
       "      <td>2.300217e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.662537e-07</td>\n",
       "      <td>1.666976e-07</td>\n",
       "      <td>2.658073e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.636808e-07</td>\n",
       "      <td>1.623765e-07</td>\n",
       "      <td>2.857835e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.649009e-07</td>\n",
       "      <td>1.614463e-07</td>\n",
       "      <td>3.147488e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.660001e-07</td>\n",
       "      <td>1.642531e-07</td>\n",
       "      <td>3.531855e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.622596e-07</td>\n",
       "      <td>1.629909e-07</td>\n",
       "      <td>3.740972e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.646761e-07</td>\n",
       "      <td>1.633312e-07</td>\n",
       "      <td>3.837388e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.672727e-07</td>\n",
       "      <td>1.711756e-07</td>\n",
       "      <td>4.350000e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.651876e-07</td>\n",
       "      <td>1.644834e-07</td>\n",
       "      <td>4.697184e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.631401e-07</td>\n",
       "      <td>1.665021e-07</td>\n",
       "      <td>4.755405e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>1024</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.456902e-07</td>\n",
       "      <td>1.427457e-07</td>\n",
       "      <td>8.467216e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>4096</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.373085e-07</td>\n",
       "      <td>2.374130e-07</td>\n",
       "      <td>1.123976e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>16384</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.661128e-07</td>\n",
       "      <td>2.688997e-07</td>\n",
       "      <td>1.311119e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>65536</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.537201e-07</td>\n",
       "      <td>2.673846e-07</td>\n",
       "      <td>1.523427e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>262144</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.624446e-07</td>\n",
       "      <td>2.609150e-07</td>\n",
       "      <td>1.634996e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>1048576</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.607045e-07</td>\n",
       "      <td>2.777768e-07</td>\n",
       "      <td>1.832050e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>4194304</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.593048e-07</td>\n",
       "      <td>2.560381e-07</td>\n",
       "      <td>2.074716e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>16777216</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.775988e-07</td>\n",
       "      <td>2.644293e-07</td>\n",
       "      <td>2.179542e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>67108864</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.666140e-07</td>\n",
       "      <td>2.651907e-07</td>\n",
       "      <td>2.443488e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>268435456</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.649453e-07</td>\n",
       "      <td>2.666639e-07</td>\n",
       "      <td>2.648206e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>LargeRRR</td>\n",
       "      <td>1073741824</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.639318e-07</td>\n",
       "      <td>2.621970e-07</td>\n",
       "      <td>2.806736e-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                type      length     r  bench_getindex   bench_rank1  \\\n",
       "0   CompactBitVector        1024  0.01    1.345151e-09  1.089107e-09   \n",
       "1   CompactBitVector        4096  0.01    1.086814e-09  5.505452e-10   \n",
       "2   CompactBitVector       16384  0.01    1.055945e-09  5.673192e-10   \n",
       "3   CompactBitVector       65536  0.01    1.250713e-09  7.280791e-10   \n",
       "4   CompactBitVector      262144  0.01    9.965591e-10  5.151887e-10   \n",
       "5   CompactBitVector     1048576  0.01    1.264959e-09  4.969864e-10   \n",
       "6   CompactBitVector     4194304  0.01    1.048179e-09  5.761096e-10   \n",
       "7   CompactBitVector    16777216  0.01    1.092204e-09  4.839556e-10   \n",
       "8   CompactBitVector    67108864  0.01    1.212893e-09  7.043719e-10   \n",
       "9   CompactBitVector   268435456  0.01    1.027694e-09  4.840958e-10   \n",
       "10  CompactBitVector  1073741824  0.01    1.072107e-09  4.881632e-10   \n",
       "11  CompactBitVector        1024  0.10    1.137992e-09  6.940799e-10   \n",
       "12  CompactBitVector        4096  0.10    1.015003e-09  5.883138e-10   \n",
       "13  CompactBitVector       16384  0.10    9.892070e-10  5.147293e-10   \n",
       "14  CompactBitVector       65536  0.10    1.064315e-09  4.987495e-10   \n",
       "15  CompactBitVector      262144  0.10    9.748447e-10  5.069270e-10   \n",
       "16  CompactBitVector     1048576  0.10    9.685864e-10  5.709505e-10   \n",
       "17  CompactBitVector     4194304  0.10    9.672930e-10  4.921985e-10   \n",
       "18  CompactBitVector    16777216  0.10    9.982483e-10  4.966464e-10   \n",
       "19  CompactBitVector    67108864  0.10    9.747987e-10  4.839420e-10   \n",
       "20  CompactBitVector   268435456  0.10    9.688348e-10  4.871001e-10   \n",
       "21  CompactBitVector  1073741824  0.10    1.059967e-09  4.878574e-10   \n",
       "22  CompactBitVector        1024  0.50    1.132616e-09  7.027550e-10   \n",
       "23  CompactBitVector        4096  0.50    1.134642e-09  5.463512e-10   \n",
       "24  CompactBitVector       16384  0.50    9.743023e-10  5.206652e-10   \n",
       "25  CompactBitVector       65536  0.50    1.016924e-09  4.931512e-10   \n",
       "26  CompactBitVector      262144  0.50    1.005617e-09  5.896056e-10   \n",
       "27  CompactBitVector     1048576  0.50    9.829810e-10  5.425515e-10   \n",
       "28  CompactBitVector     4194304  0.50    9.707210e-10  5.001440e-10   \n",
       "29  CompactBitVector    16777216  0.50    9.597192e-10  4.946260e-10   \n",
       "30  CompactBitVector    67108864  0.50    9.847541e-10  4.915171e-10   \n",
       "31  CompactBitVector   268435456  0.50    1.169112e-09  4.844056e-10   \n",
       "32  CompactBitVector  1073741824  0.50    1.061399e-09  4.878827e-10   \n",
       "0          SucVector        1024  0.01    9.296966e-10  7.024148e-10   \n",
       "1          SucVector        4096  0.01    5.476806e-10  8.188248e-10   \n",
       "2          SucVector       16384  0.01    5.553980e-10  5.220163e-10   \n",
       "3          SucVector       65536  0.01    5.222585e-10  4.958749e-10   \n",
       "4          SucVector      262144  0.01    7.701297e-10  5.780656e-10   \n",
       "5          SucVector     1048576  0.01    4.946909e-10  4.913583e-10   \n",
       "6          SucVector     4194304  0.01    6.564791e-10  5.636210e-10   \n",
       "7          SucVector    16777216  0.01    4.839499e-10  5.652239e-10   \n",
       "8          SucVector    67108864  0.01    5.040133e-10  4.839354e-10   \n",
       "9          SucVector   268435456  0.01    5.129973e-10  5.069458e-10   \n",
       "10         SucVector  1073741824  0.01    5.304270e-10  5.372372e-10   \n",
       "11         SucVector        1024  0.10    1.118354e-09  7.129514e-10   \n",
       "12         SucVector        4096  0.10    5.548525e-10  5.478623e-10   \n",
       "13         SucVector       16384  0.10    5.048091e-10  5.800121e-10   \n",
       "14         SucVector       65536  0.10    9.626167e-10  5.153158e-10   \n",
       "15         SucVector      262144  0.10    4.919088e-10  5.780592e-10   \n",
       "16         SucVector     1048576  0.10    5.075872e-10  4.879177e-10   \n",
       "17         SucVector     4194304  0.10    4.910557e-10  5.166223e-10   \n",
       "18         SucVector    16777216  0.10    4.884722e-10  4.886682e-10   \n",
       "19         SucVector    67108864  0.10    4.845481e-10  5.259576e-10   \n",
       "20         SucVector   268435456  0.10    4.841522e-10  4.881558e-10   \n",
       "21         SucVector  1073741824  0.10    5.808690e-10  5.379685e-10   \n",
       "22         SucVector        1024  0.50    9.548991e-10  7.073236e-10   \n",
       "23         SucVector        4096  0.50    5.487809e-10  6.375170e-10   \n",
       "24         SucVector       16384  0.50    5.857460e-10  5.486987e-10   \n",
       "25         SucVector       65536  0.50    7.734530e-10  5.370657e-10   \n",
       "26         SucVector      262144  0.50    4.976175e-10  8.046229e-10   \n",
       "27         SucVector     1048576  0.50    4.971538e-10  5.166597e-10   \n",
       "28         SucVector     4194304  0.50    4.967237e-10  5.659256e-10   \n",
       "29         SucVector    16777216  0.50    4.869080e-10  5.770164e-10   \n",
       "30         SucVector    67108864  0.50    4.844873e-10  4.874899e-10   \n",
       "31         SucVector   268435456  0.50    4.889215e-10  5.166654e-10   \n",
       "32         SucVector  1073741824  0.50    4.942066e-10  4.901402e-10   \n",
       "0                RRR        1024  0.01    3.441781e-08  3.490671e-08   \n",
       "1                RRR        4096  0.01    3.579069e-08  3.697433e-08   \n",
       "2                RRR       16384  0.01    3.483607e-08  3.550530e-08   \n",
       "3                RRR       65536  0.01    3.794330e-08  3.655816e-08   \n",
       "4                RRR      262144  0.01    3.754601e-08  3.806678e-08   \n",
       "5                RRR     1048576  0.01    3.682849e-08  3.880979e-08   \n",
       "6                RRR     4194304  0.01    3.655731e-08  3.823807e-08   \n",
       "7                RRR    16777216  0.01    3.666237e-08  3.491394e-08   \n",
       "8                RRR    67108864  0.01    3.906775e-08  3.607488e-08   \n",
       "9                RRR   268435456  0.01    3.668992e-08  3.607852e-08   \n",
       "10               RRR  1073741824  0.01    3.735148e-08  3.680100e-08   \n",
       "11               RRR        1024  0.10    4.024846e-08  3.796337e-08   \n",
       "12               RRR        4096  0.10    3.864635e-08  4.020459e-08   \n",
       "13               RRR       16384  0.10    3.883256e-08  3.913251e-08   \n",
       "14               RRR       65536  0.10    3.900821e-08  4.087748e-08   \n",
       "15               RRR      262144  0.10    3.874913e-08  3.756109e-08   \n",
       "16               RRR     1048576  0.10    4.023338e-08  4.109999e-08   \n",
       "17               RRR     4194304  0.10    3.967288e-08  3.832332e-08   \n",
       "18               RRR    16777216  0.10    4.010929e-08  3.894474e-08   \n",
       "19               RRR    67108864  0.10    3.957294e-08  3.928270e-08   \n",
       "20               RRR   268435456  0.10    3.987384e-08  4.204407e-08   \n",
       "21               RRR  1073741824  0.10    4.246645e-08  4.081548e-08   \n",
       "22               RRR        1024  0.50    3.802303e-08  3.971923e-08   \n",
       "23               RRR        4096  0.50    4.232418e-08  4.108492e-08   \n",
       "24               RRR       16384  0.50    3.812072e-08  4.213742e-08   \n",
       "25               RRR       65536  0.50    4.023949e-08  3.966833e-08   \n",
       "26               RRR      262144  0.50    3.773928e-08  4.131214e-08   \n",
       "27               RRR     1048576  0.50    3.846935e-08  4.103451e-08   \n",
       "28               RRR     4194304  0.50    3.849704e-08  4.046939e-08   \n",
       "29               RRR    16777216  0.50    4.023410e-08  4.082892e-08   \n",
       "30               RRR    67108864  0.50    4.039431e-08  4.484450e-08   \n",
       "31               RRR   268435456  0.50    4.026568e-08  4.307281e-08   \n",
       "32               RRR  1073741824  0.50    4.013457e-08  4.119111e-08   \n",
       "0           LargeRRR        1024  0.01    8.023082e-08  7.955678e-08   \n",
       "1           LargeRRR        4096  0.01    7.695358e-08  7.746356e-08   \n",
       "2           LargeRRR       16384  0.01    8.587621e-08  8.838561e-08   \n",
       "3           LargeRRR       65536  0.01    8.963918e-08  8.679650e-08   \n",
       "4           LargeRRR      262144  0.01    9.150199e-08  8.568312e-08   \n",
       "5           LargeRRR     1048576  0.01    8.850931e-08  9.124375e-08   \n",
       "6           LargeRRR     4194304  0.01    8.848737e-08  9.355794e-08   \n",
       "7           LargeRRR    16777216  0.01    9.156619e-08  9.158794e-08   \n",
       "8           LargeRRR    67108864  0.01    8.692829e-08  8.701026e-08   \n",
       "9           LargeRRR   268435456  0.01    8.731957e-08  8.931782e-08   \n",
       "10          LargeRRR  1073741824  0.01    8.756829e-08  8.889485e-08   \n",
       "11          LargeRRR        1024  0.10    1.188172e-07  1.298908e-07   \n",
       "12          LargeRRR        4096  0.10    1.391386e-07  1.441132e-07   \n",
       "13          LargeRRR       16384  0.10    1.662537e-07  1.666976e-07   \n",
       "14          LargeRRR       65536  0.10    1.636808e-07  1.623765e-07   \n",
       "15          LargeRRR      262144  0.10    1.649009e-07  1.614463e-07   \n",
       "16          LargeRRR     1048576  0.10    1.660001e-07  1.642531e-07   \n",
       "17          LargeRRR     4194304  0.10    1.622596e-07  1.629909e-07   \n",
       "18          LargeRRR    16777216  0.10    1.646761e-07  1.633312e-07   \n",
       "19          LargeRRR    67108864  0.10    1.672727e-07  1.711756e-07   \n",
       "20          LargeRRR   268435456  0.10    1.651876e-07  1.644834e-07   \n",
       "21          LargeRRR  1073741824  0.10    1.631401e-07  1.665021e-07   \n",
       "22          LargeRRR        1024  0.50    1.456902e-07  1.427457e-07   \n",
       "23          LargeRRR        4096  0.50    2.373085e-07  2.374130e-07   \n",
       "24          LargeRRR       16384  0.50    2.661128e-07  2.688997e-07   \n",
       "25          LargeRRR       65536  0.50    2.537201e-07  2.673846e-07   \n",
       "26          LargeRRR      262144  0.50    2.624446e-07  2.609150e-07   \n",
       "27          LargeRRR     1048576  0.50    2.607045e-07  2.777768e-07   \n",
       "28          LargeRRR     4194304  0.50    2.593048e-07  2.560381e-07   \n",
       "29          LargeRRR    16777216  0.50    2.775988e-07  2.644293e-07   \n",
       "30          LargeRRR    67108864  0.50    2.666140e-07  2.651907e-07   \n",
       "31          LargeRRR   268435456  0.50    2.649453e-07  2.666639e-07   \n",
       "32          LargeRRR  1073741824  0.50    2.639318e-07  2.621970e-07   \n",
       "\n",
       "    bench_select1  \n",
       "0    1.387914e-08  \n",
       "1    1.190852e-08  \n",
       "2    1.051917e-08  \n",
       "3    1.174915e-08  \n",
       "4    1.255847e-08  \n",
       "5    1.437504e-08  \n",
       "6    1.277089e-08  \n",
       "7    1.327523e-08  \n",
       "8    1.542759e-08  \n",
       "9    1.350173e-08  \n",
       "10   1.434298e-08  \n",
       "11   1.754343e-08  \n",
       "12   1.889744e-08  \n",
       "13   2.632452e-08  \n",
       "14   3.174713e-08  \n",
       "15   3.505566e-08  \n",
       "16   3.186957e-08  \n",
       "17   3.298815e-08  \n",
       "18   3.508962e-08  \n",
       "19   3.897124e-08  \n",
       "20   4.081599e-08  \n",
       "21   5.522714e-08  \n",
       "22   4.825072e-08  \n",
       "23   7.696368e-08  \n",
       "24   9.500369e-08  \n",
       "25   1.018655e-07  \n",
       "26   1.097038e-07  \n",
       "27   1.136305e-07  \n",
       "28   1.253409e-07  \n",
       "29   1.415620e-07  \n",
       "30   1.474177e-07  \n",
       "31   1.515289e-07  \n",
       "32   2.373968e-07  \n",
       "0    1.377899e-08  \n",
       "1    1.340988e-08  \n",
       "2    1.582036e-08  \n",
       "3    1.425094e-08  \n",
       "4    1.400882e-08  \n",
       "5    1.502046e-08  \n",
       "6    1.488853e-08  \n",
       "7    1.596462e-08  \n",
       "8    1.574822e-08  \n",
       "9    1.599031e-08  \n",
       "10   1.738206e-08  \n",
       "11   2.208915e-08  \n",
       "12   2.378241e-08  \n",
       "13   3.164378e-08  \n",
       "14   3.450101e-08  \n",
       "15   3.983448e-08  \n",
       "16   3.971256e-08  \n",
       "17   4.174172e-08  \n",
       "18   4.365922e-08  \n",
       "19   4.962912e-08  \n",
       "20   4.703194e-08  \n",
       "21   5.266313e-08  \n",
       "22   6.379537e-08  \n",
       "23   9.996026e-08  \n",
       "24   1.198403e-07  \n",
       "25   1.344881e-07  \n",
       "26   1.345314e-07  \n",
       "27   1.513672e-07  \n",
       "28   1.604264e-07  \n",
       "29   1.659357e-07  \n",
       "30   1.776878e-07  \n",
       "31   1.905493e-07  \n",
       "32   2.055738e-07  \n",
       "0    3.885704e-08  \n",
       "1    3.431738e-08  \n",
       "2    3.779558e-08  \n",
       "3    3.746658e-08  \n",
       "4    4.229694e-08  \n",
       "5    4.004179e-08  \n",
       "6    4.822628e-08  \n",
       "7    4.131398e-08  \n",
       "8    4.689900e-08  \n",
       "9    4.049754e-08  \n",
       "10   4.640783e-08  \n",
       "11   8.043339e-08  \n",
       "12   8.827926e-08  \n",
       "13   9.672428e-08  \n",
       "14   1.065240e-07  \n",
       "15   1.179822e-07  \n",
       "16   1.210701e-07  \n",
       "17   1.474409e-07  \n",
       "18   1.443287e-07  \n",
       "19   1.533886e-07  \n",
       "20   1.556958e-07  \n",
       "21   1.681173e-07  \n",
       "22   2.537505e-07  \n",
       "23   3.257695e-07  \n",
       "24   3.741268e-07  \n",
       "25   4.068046e-07  \n",
       "26   4.356947e-07  \n",
       "27   4.827074e-07  \n",
       "28   5.208089e-07  \n",
       "29   5.766204e-07  \n",
       "30   6.047385e-07  \n",
       "31   6.663900e-07  \n",
       "32   7.154228e-07  \n",
       "0    4.834036e-08  \n",
       "1    5.045836e-08  \n",
       "2    6.387574e-08  \n",
       "3    4.943700e-08  \n",
       "4    5.621138e-08  \n",
       "5    7.233315e-08  \n",
       "6    6.593454e-08  \n",
       "7    6.454996e-08  \n",
       "8    7.301309e-08  \n",
       "9    7.369421e-08  \n",
       "10   6.619541e-08  \n",
       "11   1.947715e-07  \n",
       "12   2.300217e-07  \n",
       "13   2.658073e-07  \n",
       "14   2.857835e-07  \n",
       "15   3.147488e-07  \n",
       "16   3.531855e-07  \n",
       "17   3.740972e-07  \n",
       "18   3.837388e-07  \n",
       "19   4.350000e-07  \n",
       "20   4.697184e-07  \n",
       "21   4.755405e-07  \n",
       "22   8.467216e-07  \n",
       "23   1.123976e-06  \n",
       "24   1.311119e-06  \n",
       "25   1.523427e-06  \n",
       "26   1.634996e-06  \n",
       "27   1.832050e-06  \n",
       "28   2.074716e-06  \n",
       "29   2.179542e-06  \n",
       "30   2.443488e-06  \n",
       "31   2.648206e-06  \n",
       "32   2.806736e-06  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
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