hyperloglog-rs 0.1.41

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9da8f0d7",
   "metadata": {},
   "source": [
    "# Intersection evaluations\n",
    "In this notebook, we will evaluate the Jaccard similarity of the different methods. The first will be the implementation as provided from this Rust crate HyperLogLog couters, testing all of the available bits and precisions. Note that, since there are no Python bindings for the Rust crate (yet) we run the cose as one of the test in the crate test suite. \n",
    "\n",
    "The second one will be MinHash, using the implementation provided by the datasketch library. We will compare the performance of the two methods for the same amount of memory used.\n",
    "\n",
    "## What is an HyperLogLog counter?\n",
    "An HyperLogLog counter is a probabilistic data structure used to estimate the cardinality of a set. It is based on the observation that the cardinality of a set can be estimated by the maximum number of leading zeros in the binary representation of the hashes of the elements of the set. The HyperLogLog counter is a data structure that stores the maximum number of leading zeros for a set of hashes. The counter is initialized with a number of bits, which determines the maximum number of leading zeros that can be stored. The counter is then updated with the hashes of the elements of the set. The estimate of the cardinality is then given by the harmonic mean of the values stored in the counter. HyperLogLog counters can be used to compute the cardinality of the union of two sets by taking the maximum of the values stored in the two counters, and therefore we can also compute the Jaccard similarity of two sets.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55873adf",
   "metadata": {},
   "source": [
    "## Running the experiment\n",
    "The data here reported was computed by running the following line:\n",
    "\n",
    "```bash\n",
    "RUSTFLAGS=\"-C target-cpu=native\" cargo test --test test_intersection --release\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ffd32133",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tqdm.auto import tqdm\n",
    "from glob import glob\n",
    "\n",
    "df = pd.concat([\n",
    "    pd.read_csv(path,  sep=\"\\t\")\n",
    "    for path in glob(\"intersection_cardinality_benchmark*.tsv\")\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "dd95a263",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precision</th>\n",
       "      <th>bits</th>\n",
       "      <th>exact</th>\n",
       "      <th>union_exclusion</th>\n",
       "      <th>intersection_set</th>\n",
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       "      <th>intersection_mle_5</th>\n",
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       "      <td>4</td>\n",
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       "      <td>86.1440</td>\n",
       "      <td>86.1440</td>\n",
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       "      <td>32</td>\n",
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       "      <th>1</th>\n",
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       "      <td>3246</td>\n",
       "      <td>1378.3040</td>\n",
       "      <td>1378.3040</td>\n",
       "      <td>1.042976</td>\n",
       "      <td>1.203457</td>\n",
       "      <td>19585.8440</td>\n",
       "      <td>22000.6270</td>\n",
       "      <td>24254.9570</td>\n",
       "      <td>48</td>\n",
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       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>64</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>3246</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>6918.5454</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>80</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3246</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>6918.5454</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>96</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <th>60</th>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>4836</td>\n",
       "      <td>5104.5234</td>\n",
       "      <td>7145.7935</td>\n",
       "      <td>4938.567000</td>\n",
       "      <td>4939.024000</td>\n",
       "      <td>4939.0093</td>\n",
       "      <td>4939.0083</td>\n",
       "      <td>4939.0083</td>\n",
       "      <td>131072</td>\n",
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       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>4836</td>\n",
       "      <td>4890.9805</td>\n",
       "      <td>7145.7935</td>\n",
       "      <td>4937.194300</td>\n",
       "      <td>4937.641600</td>\n",
       "      <td>4937.6294</td>\n",
       "      <td>4937.6284</td>\n",
       "      <td>4937.6284</td>\n",
       "      <td>196608</td>\n",
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       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>4836</td>\n",
       "      <td>4890.2500</td>\n",
       "      <td>7145.7935</td>\n",
       "      <td>4936.593000</td>\n",
       "      <td>4937.033700</td>\n",
       "      <td>4937.0596</td>\n",
       "      <td>4937.0590</td>\n",
       "      <td>4937.0590</td>\n",
       "      <td>262144</td>\n",
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       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
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       "      <td>4890.2734</td>\n",
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       "      <td>4937.0596</td>\n",
       "      <td>4937.0590</td>\n",
       "      <td>4937.0590</td>\n",
       "      <td>393216</td>\n",
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       "<p>2167 rows × 11 columns</p>\n",
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      "text/plain": [
       "    precision  bits  exact  union_exclusion  intersection_set  \\\n",
       "0           4     2   3246          86.1440           86.1440   \n",
       "1           4     3   3246        1378.3040         1378.3040   \n",
       "2           4     4   3246           0.0000         6918.5454   \n",
       "3           4     5   3246           0.0000         6918.5454   \n",
       "4           4     6   3246           0.0000         6918.5454   \n",
       "..        ...   ...    ...              ...               ...   \n",
       "60         16     2   4836        5104.5234         7145.7935   \n",
       "61         16     3   4836        4890.9805         7145.7935   \n",
       "62         16     4   4836        4890.2500         7145.7935   \n",
       "63         16     5   4836        4890.2734         7145.7935   \n",
       "64         16     6   4836        4890.2734         7145.7935   \n",
       "\n",
       "    intersection_mle_2  intersection_mle_3  intersection_mle_4  \\\n",
       "0             1.044257            1.216863           1225.8097   \n",
       "1             1.042976            1.203457          19585.8440   \n",
       "2             0.000000            0.000000              0.0000   \n",
       "3             0.000000            0.000000              0.0000   \n",
       "4             0.000000            0.000000              0.0000   \n",
       "..                 ...                 ...                 ...   \n",
       "60         4938.567000         4939.024000           4939.0093   \n",
       "61         4937.194300         4937.641600           4937.6294   \n",
       "62         4936.593000         4937.033700           4937.0596   \n",
       "63         4936.593000         4937.033700           4937.0596   \n",
       "64         4936.593000         4937.033700           4937.0596   \n",
       "\n",
       "    intersection_mle_5  intersection_mle_6  memory  \n",
       "0            1376.8843           1517.8757      32  \n",
       "1           22000.6270          24254.9570      48  \n",
       "2               0.0000              0.0000      64  \n",
       "3               0.0000              0.0000      80  \n",
       "4               0.0000              0.0000      96  \n",
       "..                 ...                 ...     ...  \n",
       "60           4939.0083           4939.0083  131072  \n",
       "61           4937.6284           4937.6284  196608  \n",
       "62           4937.0590           4937.0590  262144  \n",
       "63           4937.0590           4937.0590  327680  \n",
       "64           4937.0590           4937.0590  393216  \n",
       "\n",
       "[2167 rows x 11 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "#df = pd.read_csv(\"intersection_cardinality_benchmark.tsv\", sep=\"\\t\")\n",
    "df[\"memory\"] = 2**df.precision * df.bits\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5e9bfe8",
   "metadata": {},
   "source": [
    "We determine the number of u64 words to use for the MinHash to execute versions of MinHash with comparable memory usage to the HyperLogLog counters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ef240523",
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "\n",
    "bits = df.bits.unique()\n",
    "precision = df.precision.unique()\n",
    "\n",
    "number_of_words = {\n",
    "    # We divide again by 2 because the number of permutations used is a u64\n",
    "    # and by two again as \n",
    "    math.ceil(b * 2**p / 32) // 2 // 2\n",
    "    for b in bits\n",
    "    for p in precision\n",
    "}\n",
    "\n",
    "# Some HyperLogLog counters require less than 64 bits, so there will be\n",
    "# values in the list that are zero. We remove them.\n",
    "number_of_words = [\n",
    "    word\n",
    "    for word in number_of_words\n",
    "    if word > 0\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b8c5238",
   "metadata": {},
   "source": [
    "We parallelize the computation of the Jaccard similarity using MinHash, which is significantly slower than the HyperLogLog counters as while the former is an extensively optimized Rust implementation, the latter is more didactical Python implementation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b8106fcc",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>32</td>\n",
       "      <td>1.256547e+08</td>\n",
       "      <td>2.011823e+08</td>\n",
       "      <td>1.270980e+08</td>\n",
       "      <td>2.023926e+08</td>\n",
       "      <td>1.269823e+08</td>\n",
       "      <td>2.022777e+08</td>\n",
       "      <td>1.234406e+08</td>\n",
       "      <td>2.018681e+08</td>\n",
       "      <td>1.230543e+08</td>\n",
       "      <td>2.018287e+08</td>\n",
       "      <td>1.227050e+08</td>\n",
       "      <td>2.017948e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>48</td>\n",
       "      <td>1.076808e+08</td>\n",
       "      <td>1.842170e+08</td>\n",
       "      <td>1.414571e+08</td>\n",
       "      <td>2.089454e+08</td>\n",
       "      <td>1.412606e+08</td>\n",
       "      <td>2.087669e+08</td>\n",
       "      <td>1.594328e+08</td>\n",
       "      <td>2.063678e+08</td>\n",
       "      <td>1.737470e+08</td>\n",
       "      <td>2.116467e+08</td>\n",
       "      <td>1.895026e+08</td>\n",
       "      <td>2.211653e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>64</td>\n",
       "      <td>7.808263e+06</td>\n",
       "      <td>1.053180e+07</td>\n",
       "      <td>8.053476e+06</td>\n",
       "      <td>9.451498e+06</td>\n",
       "      <td>7.046480e+06</td>\n",
       "      <td>9.300213e+06</td>\n",
       "      <td>6.353215e+06</td>\n",
       "      <td>7.849001e+06</td>\n",
       "      <td>6.353350e+06</td>\n",
       "      <td>7.851822e+06</td>\n",
       "      <td>6.353401e+06</td>\n",
       "      <td>7.852042e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>80</td>\n",
       "      <td>8.517510e+06</td>\n",
       "      <td>1.110201e+07</td>\n",
       "      <td>9.252137e+06</td>\n",
       "      <td>1.116888e+07</td>\n",
       "      <td>7.227557e+06</td>\n",
       "      <td>8.846008e+06</td>\n",
       "      <td>6.683451e+06</td>\n",
       "      <td>8.019584e+06</td>\n",
       "      <td>6.683642e+06</td>\n",
       "      <td>8.022392e+06</td>\n",
       "      <td>6.683797e+06</td>\n",
       "      <td>8.022885e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>96</td>\n",
       "      <td>1.582947e+07</td>\n",
       "      <td>2.951377e+07</td>\n",
       "      <td>3.952325e+07</td>\n",
       "      <td>1.091742e+08</td>\n",
       "      <td>3.908296e+07</td>\n",
       "      <td>1.093211e+08</td>\n",
       "      <td>1.314958e+07</td>\n",
       "      <td>2.197853e+07</td>\n",
       "      <td>1.315685e+07</td>\n",
       "      <td>2.199959e+07</td>\n",
       "      <td>1.315732e+07</td>\n",
       "      <td>2.200165e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>131072</td>\n",
       "      <td>6.741346e+05</td>\n",
       "      <td>1.278451e+06</td>\n",
       "      <td>1.462066e+03</td>\n",
       "      <td>3.011135e+03</td>\n",
       "      <td>1.464850e+03</td>\n",
       "      <td>3.034010e+03</td>\n",
       "      <td>1.464960e+03</td>\n",
       "      <td>3.033175e+03</td>\n",
       "      <td>1.464938e+03</td>\n",
       "      <td>3.033128e+03</td>\n",
       "      <td>1.464938e+03</td>\n",
       "      <td>3.033128e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>196608</td>\n",
       "      <td>3.144043e+03</td>\n",
       "      <td>5.944291e+03</td>\n",
       "      <td>2.244170e+03</td>\n",
       "      <td>3.343818e+03</td>\n",
       "      <td>2.236948e+03</td>\n",
       "      <td>3.340074e+03</td>\n",
       "      <td>2.238268e+03</td>\n",
       "      <td>3.340873e+03</td>\n",
       "      <td>2.238364e+03</td>\n",
       "      <td>3.340924e+03</td>\n",
       "      <td>2.238352e+03</td>\n",
       "      <td>3.340919e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>262144</td>\n",
       "      <td>3.207178e+03</td>\n",
       "      <td>6.487995e+03</td>\n",
       "      <td>2.299927e+03</td>\n",
       "      <td>3.415326e+03</td>\n",
       "      <td>2.297023e+03</td>\n",
       "      <td>3.415370e+03</td>\n",
       "      <td>2.298761e+03</td>\n",
       "      <td>3.418264e+03</td>\n",
       "      <td>2.298760e+03</td>\n",
       "      <td>3.418238e+03</td>\n",
       "      <td>2.298761e+03</td>\n",
       "      <td>3.418237e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
       "      <td>327680</td>\n",
       "      <td>3.207581e+03</td>\n",
       "      <td>6.488047e+03</td>\n",
       "      <td>2.299927e+03</td>\n",
       "      <td>3.415326e+03</td>\n",
       "      <td>2.297023e+03</td>\n",
       "      <td>3.415370e+03</td>\n",
       "      <td>2.298761e+03</td>\n",
       "      <td>3.418264e+03</td>\n",
       "      <td>2.298760e+03</td>\n",
       "      <td>3.418238e+03</td>\n",
       "      <td>2.298761e+03</td>\n",
       "      <td>3.418237e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>16</td>\n",
       "      <td>6</td>\n",
       "      <td>393216</td>\n",
       "      <td>4.654621e+03</td>\n",
       "      <td>9.329377e+03</td>\n",
       "      <td>1.449023e+04</td>\n",
       "      <td>1.003166e+05</td>\n",
       "      <td>1.261219e+04</td>\n",
       "      <td>9.851046e+04</td>\n",
       "      <td>2.262351e+03</td>\n",
       "      <td>4.288078e+03</td>\n",
       "      <td>2.262058e+03</td>\n",
       "      <td>4.288514e+03</td>\n",
       "      <td>2.262074e+03</td>\n",
       "      <td>4.288516e+03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>65 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   precision bits  memory union_exclusion_based                _mle_2_based  \\\n",
       "                                           mean           std          mean   \n",
       "0          4    2      32          1.256547e+08  2.011823e+08  1.270980e+08   \n",
       "1          4    3      48          1.076808e+08  1.842170e+08  1.414571e+08   \n",
       "2          4    4      64          7.808263e+06  1.053180e+07  8.053476e+06   \n",
       "3          4    5      80          8.517510e+06  1.110201e+07  9.252137e+06   \n",
       "4          4    6      96          1.582947e+07  2.951377e+07  3.952325e+07   \n",
       "..       ...  ...     ...                   ...           ...           ...   \n",
       "60        16    2  131072          6.741346e+05  1.278451e+06  1.462066e+03   \n",
       "61        16    3  196608          3.144043e+03  5.944291e+03  2.244170e+03   \n",
       "62        16    4  262144          3.207178e+03  6.487995e+03  2.299927e+03   \n",
       "63        16    5  327680          3.207581e+03  6.488047e+03  2.299927e+03   \n",
       "64        16    6  393216          4.654621e+03  9.329377e+03  1.449023e+04   \n",
       "\n",
       "                  _mle_3_based                _mle_4_based                \\\n",
       "             std          mean           std          mean           std   \n",
       "0   2.023926e+08  1.269823e+08  2.022777e+08  1.234406e+08  2.018681e+08   \n",
       "1   2.089454e+08  1.412606e+08  2.087669e+08  1.594328e+08  2.063678e+08   \n",
       "2   9.451498e+06  7.046480e+06  9.300213e+06  6.353215e+06  7.849001e+06   \n",
       "3   1.116888e+07  7.227557e+06  8.846008e+06  6.683451e+06  8.019584e+06   \n",
       "4   1.091742e+08  3.908296e+07  1.093211e+08  1.314958e+07  2.197853e+07   \n",
       "..           ...           ...           ...           ...           ...   \n",
       "60  3.011135e+03  1.464850e+03  3.034010e+03  1.464960e+03  3.033175e+03   \n",
       "61  3.343818e+03  2.236948e+03  3.340074e+03  2.238268e+03  3.340873e+03   \n",
       "62  3.415326e+03  2.297023e+03  3.415370e+03  2.298761e+03  3.418264e+03   \n",
       "63  3.415326e+03  2.297023e+03  3.415370e+03  2.298761e+03  3.418264e+03   \n",
       "64  1.003166e+05  1.261219e+04  9.851046e+04  2.262351e+03  4.288078e+03   \n",
       "\n",
       "    _mle_5_based                _mle_6_based                \n",
       "            mean           std          mean           std  \n",
       "0   1.230543e+08  2.018287e+08  1.227050e+08  2.017948e+08  \n",
       "1   1.737470e+08  2.116467e+08  1.895026e+08  2.211653e+08  \n",
       "2   6.353350e+06  7.851822e+06  6.353401e+06  7.852042e+06  \n",
       "3   6.683642e+06  8.022392e+06  6.683797e+06  8.022885e+06  \n",
       "4   1.315685e+07  2.199959e+07  1.315732e+07  2.200165e+07  \n",
       "..           ...           ...           ...           ...  \n",
       "60  1.464938e+03  3.033128e+03  1.464938e+03  3.033128e+03  \n",
       "61  2.238364e+03  3.340924e+03  2.238352e+03  3.340919e+03  \n",
       "62  2.298760e+03  3.418238e+03  2.298761e+03  3.418237e+03  \n",
       "63  2.298760e+03  3.418238e+03  2.298761e+03  3.418237e+03  \n",
       "64  2.262058e+03  4.288514e+03  2.262074e+03  4.288516e+03  \n",
       "\n",
       "[65 rows x 15 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"union_exclusion_based\"] = (df.exact - df.union_exclusion)**2\n",
    "#df[\"intersection_set\"] = (df.exact - df.intersection_set)**2\n",
    "\n",
    "mle_columns = [\n",
    "    column\n",
    "    for column in df.columns\n",
    "    if \"intersection_mle\" in column\n",
    "]\n",
    "\n",
    "new_columns = []\n",
    "\n",
    "for mle_column in mle_columns:\n",
    "    new_column = f\"{mle_column}_based\".replace(\"intersection\", \"\")\n",
    "    df[new_column] = (df.exact - df[mle_column])**2\n",
    "    new_columns.append(new_column)\n",
    "\n",
    "columns = [\n",
    "    \"union_exclusion_based\",\n",
    "    *new_columns\n",
    "]\n",
    "data_hll = df.groupby([\"precision\", \"bits\", \"memory\"])[columns].agg([\"mean\", \"std\"])\n",
    "data_hll = data_hll.reset_index()\n",
    "data_hll"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a53f306",
   "metadata": {},
   "source": [
    "We visualize two versions of the HyperLogLog counters, one including also **EXTREMELY SMALL** registers of 1 and 2 bits, which really push the limits of the HyperLogLog counters, and one without them, which is more representative of the performance of the HyperLogLog counters for the more common use cases. We include these tiny registers as exploring the limits of the HyperLogLog counters is one of the main goals of this project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9a370282",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1920x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1920x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from sanitize_ml_labels import sanitize_ml_labels\n",
    "\n",
    "bits_to_discard = (1, 2, 3, 4, 5)\n",
    "\n",
    "for yscale in (\"linear\", \"log\"):\n",
    "    fig, axes = plt.subplots(dpi=300)\n",
    "    for bits in data_hll[\"bits\"].unique():\n",
    "        if bits in bits_to_discard:\n",
    "            continue\n",
    "        for column in columns:\n",
    "            filtered = data_hll[data_hll.bits == bits]\n",
    "\n",
    "            plt.errorbar(\n",
    "                filtered.memory,\n",
    "                filtered[column][\"mean\"],\n",
    "                filtered[column][\"std\"],\n",
    "                alpha=0.5,\n",
    "                label=f\"{bits}b, {sanitize_ml_labels(column)}\"\n",
    "            )\n",
    "    plt.legend()\n",
    "    plt.xscale(\"log\")\n",
    "    plt.yscale(yscale)\n",
    "    plt.ylabel(f\"Intersection MSE, 100k sets ({yscale})\")\n",
    "    plt.xlabel(\"Memory required (bits)\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b747382b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}