bloom_filter_example03.cpp

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/*
 *********************************************************************
 *                                                                   *
 *                           Open Bloom Filter                       *
 *                                                                   *
 * Description: Usage pattern of Compressible Bloom Filter           *
 * Author: Arash Partow - 2000                                       *
 * URL: http://www.partow.net                                        *
 * URL: http://www.partow.net/programming/hashfunctions/index.html   *
 *                                                                   *
 * Copyright notice:                                                 *
 * Free use of the Open Bloom Filter Library is permitted under the  *
 * guidelines and in accordance with the MIT License.                *
 * http://www.opensource.org/licenses/MIT                            *
 *                                                                   *
 *********************************************************************
*/


/*
   Description: This example will demonstrate how to instantiate a compressible
                Bloom filter, insert strings and then query the inserted strings
                and a set of outlier strings for membership status in the filter.
                Furthermore on each round the size of the Bloom filter will be
                reduced/compressed by 5%. In theory this should cause the
                effective/theoretical false positive probability to increase.
                The objective of this exercise is to track the observed false
                positive probability against the effective false positive
                probability as the filter's size is gradually reduced.
*/


#include <iostream>
#include <cstddef>
#include <cstdio>
#include <fstream>
#include <iterator>
#include <algorithm>
#include <vector>
#include <deque>
#include <set>
#include <string>

#include "bloom_filter.hpp"

bool load_word_list(int argc, char* argv[], std::vector<std::string>& word_list);

template <class T,
          class Allocator,
          template <class,class> class Container>
bool read_file(const std::string& file_name, Container<T, Allocator>& c);

void generate_outliers(const std::vector<std::string>& word_list, std::deque<std::string>& outliers);
void purify_outliers(const std::vector<std::string>& word_list,std::deque<std::string>& outliers);

int main(int argc, char* argv[])
{
   std::vector<std::string> word_list;
   std::deque<std::string> outliers;

   if (!load_word_list(argc,argv,word_list))
   {
      return 1;
   }

   generate_outliers(word_list,outliers);

   unsigned int random_seed = 0xA57EC3B2;

   const double desired_probability_of_false_positive = 1.0 / word_list.size();

   bloom_parameters parameters;
   parameters.projected_element_count    = word_list.size();
   parameters.false_positive_probability = desired_probability_of_false_positive;
   parameters.random_seed                = random_seed++;
   parameters.maximum_number_of_hashes   = 7;

   if (!parameters)
   {
      std::cout << "Error - Invalid set of bloom filter parameters!" << std::endl;
      return 1;
   }

   parameters.compute_optimal_parameters();

   compressible_bloom_filter filter(parameters);

   filter.insert(word_list.begin(),word_list.end());

   std::cout << "Filter Size\tEFPP    \tOFPP    \tDiff" << std::endl;

   while (filter.size() > 1)
   {
      std::vector<std::string>::iterator it = filter.contains_all(word_list.begin(),word_list.end());

      if (word_list.end() != it)
      {
         std::cout << "ERROR: key not found in bloom filter! =>" << (*it) << std::endl;
         return 1;
      }

      std::size_t total_false_positive = 0;

      for (std::deque<std::string>::iterator itr = outliers.begin(); itr != outliers.end(); ++itr)
      {
         if (filter.contains(*itr)) ++total_false_positive;
      }

      double pfp = total_false_positive / (1.0 * outliers.size());

      printf("%11llu\t%8.7f\t%8.7f\t%8.6f\n",
             static_cast<unsigned long long>(filter.size()),
             filter.effective_fpp(),
             pfp,
             100.0 * (pfp / filter.effective_fpp()));

      if (!filter.compress(5.0))
      {
         std::cout << "Filter cannot be compressed any further." << std::endl;
         break;
      }
   }

   return 0;
}

bool load_word_list(int argc, char* argv[], std::vector<std::string>& word_list)
{
   // Note: The word-lists can be obtained from:
   // https://github.com/ArashPartow/bloom
   static const std::string wl_list[] =
                     { "word-list.txt",
                       "word-list-large.txt",
                       "word-list-extra-large.txt",
                       "random-list.txt"
                     };

   std::size_t index = 0;

   if (2 == argc)
   {
      index = ::atoi(argv[1]);

      const std::size_t wl_list_size = sizeof(wl_list) / sizeof(std::string);

      if (index >= wl_list_size)
      {
         std::cout << "Invalid world list index: " << index << std::endl;
         return false;
      }
   }

   std::cout << "Loading list " << wl_list[index] << ".....";

   if (!read_file(wl_list[index],word_list))
   {
      return false;
   }

   if (word_list.empty())
   {
      std::cout << "No word list - Either none requested, or desired word list could not be loaded." << std::endl;
      return false;
   }
   else
      std::cout << " Complete." << std::endl;

   return true;
}

template <class T,
          class Allocator,
          template <class,class> class Container>
bool read_file(const std::string& file_name, Container<T, Allocator>& c)
{
   std::ifstream stream(file_name.c_str());

   if (!stream)
   {
      std::cout << "Error: Failed to open file '" << file_name << "'" << std::endl;
      return false;
   }

   std::string buffer;

   while (std::getline(stream,buffer))
   {
      c.push_back(buffer);
   }

   return true;
}

std::string reverse(std::string str)
{
   // Not the most efficient way of doing this.
   std::reverse(str.begin(),str.end());
   return str;
}

void generate_outliers(const std::vector<std::string>& word_list, std::deque<std::string>& outliers)
{
   std::cout << "Generating outliers..... ";

   for (std::vector<std::string>::const_iterator it = word_list.begin(); it != word_list.end(); ++it)
   {
      if ((*it) != reverse((*it)))
      {
         outliers.push_back((*it) + reverse((*it)));
         outliers.push_back((*it) + (*it));
         outliers.push_back(reverse((*it)) + (*it) + reverse((*it)));
      }

      std::string ns = *it;

      for (unsigned int i = 0; i < ns.size(); ++i)
      {
         if (1 == (i & 0x00)) ns[i] = ~ns[i];
      }

      outliers.push_back(ns);
   }

   static const std::string rand_str[] =
                  {
                     "oD5l", "pccW", "5yHt", "ndaN", "OaJh", "tWPc", "Cr9C", "a9zE",
                     "H1wL", "yo1V", "16D7", "f2WR", "0MVQ", "PkKn", "PlVa", "MvzL",
                     "9Csl", "JQTv", "IveD", "FDVS", "Q7HE", "QgcF", "Q9Vo", "V8zJ",
                     "EJWT", "GuLC", "rM3d", "PJF4", "HXPW", "qKx3", "ztRP", "t4KP",
                     "m1zV", "fn12", "B1QP", "Jr4I", "Mf8M", "4jBd", "anGR", "Pipt",
                     "QHon", "GNlc", "UeXM", "mVM5", "ABI8", "RhB3", "5h2s", "hOYo",
                     "gaId", "DX40", "THMu", "EwlP", "n9Mz", "oC1S", "BfMl", "uCZ1",
                     "G2bA", "MOH9", "zZ0O", "PKDO", "3nRU", "Z6ie", "4cso", "LnQO",
                     "MJTtT","td3rC","A5JNR","1yL5B","rQnJk","jNKYF","CD0XD","pFLSG",
                     "fxO1a","CAjBE","ORk4e","0LERI","R7d0x","Qqd7v","6Kih5","9tTCB",
                     "yCg9U","D2Tv7","XpNHn","6zeFQ","BT2cs","WGhKW","zTv6B","TTPFk",
                     "XjNVX","pg9yW","4pKiZ","mQUhL","xrXzR","kVRm5","NSyC4","olXm9",
                     "UWkYy","8Ys6r","yd4Fl","5L4mB","nP3nH","f0DFb","glnQa","DlXQa",
                     "cQdH6","eBmIN","fDj6F","ezLow","C15vu","I2Z2j","BQgzg","eVBid",
                     "hn5TO","WZyQN","xXgsE","sL6nK","8DKD8","jcrbp","AcRak","h8N5o",
                     "LViwC","ThEKf","O7fd5","oN0Id","OM1m0","4OLiR","VIa8N","bJZFG",
                     "9j3rL","SzW0N","7m7pY","mY9bg","k1p3e","3OFm1","r45se","VYwz3",
                     "pDjXt","ZcqcJ","npPHx","hA3bw","w7lSO","jEmZL","1x3AZ","FN47G",
                     "kThNf","aC4fq","rzDwi","CYRNG","gCeuG","wCVqO","d1R60","bEauW",
                     "KeUwW","lIKhO","RfPv3","dK5wE","1X7qu","tRwEn","1c03P","GwHCl",
                     "CsJaO","zl4j1","e0aEc","Uskgi","rgTGR","jyR4g","Tt6l4","lRoaw",
                     "94ult","qZwBX","eYW8S","Qf6UH","AbV56","N1hJq","JIaVe","8LHEx",
                     "DeNbS","30I0a","hm6qw","3jcaO","4WkuA","mQ219","Gb81C","yx4HM",
                     "Chlqfi9S1y", "BMwUgVFu2X", "ZmpEGOVrVe", "13ggJxrPkC", "fcJJpyMGjm", "9T00Dv4ZAb",
                     "p3YRcP7M2o", "sR0qNUXCHv", "gCxWZbJ6rb", "R4YtzRXXUl", "vwyYz5j6pY", "XPWUvLXhJ7",
                     "7PwfnVVb7U", "1f34Q6hOYz", "1EM2abZY61", "0a6Ivi4S0a", "Teq2LrQs2T", "dWXLCgWHc8",
                     "LawMv7ujn4", "N8VFgbZQx5", "tfvHHxoDgi", "ImwYgXA2tf", "KkIES9NqZO", "ajcz0qjjda",
                     "6Vz28vlGs9", "VMCc5W8cCt", "BiQB8BRJ98", "43CpOJSMpA", "jfBJdqwXcU", "ecHR9EO2ib",
                     "LH7CcXyCZ7", "JntqGSgSpa", "0MbTMpZPFW", "5FJSdiCXzR", "5gda2AhA2x", "lrDFc1lnXk",
                     "zrEwECHvjs", "B0JldDxFa1", "6DYal4QxKa", "Hsqx6kP2S4", "zZwnALSuFh", "Shh4ISZcKW",
                     "P9VDaNSk7Z", "mEI2PLSCO6", "WyTyrQORtu", "IvJyMMRgh3", "Q6pgJq8Nkv", "dhOgR3tDAD",
                     "Y9h6bVgbxO", "wA15tiOPTm", "8TaIKf1zCO", "z75dzabHBs", "AS6OPnwoJI", "2DSZka9Auj",
                     "QLzUjV2CWs", "KZSN2SVhia", "7ttYKWF2ue", "1Zxfu7B2ST", "RnkpmwjsCi", "YpcSIzaqx5",
                     "RDEwFD9gmX", "Nlx3V4Cjw4", "9ZdvITOj8M", "httUPWMNXO", "Ypv9PjxGwa", "LlwyNolNnH",
                     "6xpJOht47a", "tbmz4WIdcG", "OwzuVDlb7D", "PBQKJxo8DQ", "uVnMQn7hK6", "rlnZINuDUa",
                     "2feyyYukPa", "teOlpKuDBn", "LxBSWh0dL1", "Onyb7r4Jp0", "bZxXE6xOXg", "d9NSvNTunQ",
                     "ONerLBic32", "8mar4rKmFk", "5cCN9uwaCg", "ElVrYOHHMv", "YF6Og8DX40", "OgiCwpCQ5a",
                     "K6nSRZVxdR", "gqyXXXoVFW", "ulyRYizcBP", "khUx31K5UR", "qZFRzVthju", "pQBh0vnB20",
                     "dk8NIN7ajy", "XP7ed1OjZx", "IRYNwA5iFR", "hiSEBhTukC", "Ns4jJ3jzGo", "dYoCSxjIvM",
                     "HzGLbl5i1g", "baizENd4ko", "6rCqGBO8t1", "QWGfC8UaA7", "JFhRfxQe4K", "8R4W6IWANz",
                     "2TnWf1w7JH", "0z69e0wcoG", "8SN1mRHCY7", "oFGCYHHwGX", "G8xqnBgxjO", "6B3SAOayHt",
                     "XRW3ZSG1gw", "WcIjTxMxOM", "wNqCAIaTb2", "gO4em4HW8H", "TgGFSMEtbG", "WiwmbEw3QA",
                     "D2xshYUgpu", "xRUZCQVzBs", "nCnUmMgIjE", "p4Ewt1yCJr", "MeOjDcaMY5", "1XelMeXiiI"
                  };
   static const std::size_t rand_str_size = sizeof(rand_str) / sizeof(std::string);

   for (unsigned int i = 0; i < rand_str_size; ++i)
   {
      std::string s0 = rand_str[i];
      std::string s1 = rand_str[(i + 1) % rand_str_size];
      std::string s2 = rand_str[(i + 2) % rand_str_size];
      std::string s3 = rand_str[(i + 3) % rand_str_size];
      std::string s4 = rand_str[(i + 4) % rand_str_size];
      std::string s5 = rand_str[(i + 5) % rand_str_size];
      std::string s6 = rand_str[(i + 6) % rand_str_size];

      outliers.push_back(s0);
      outliers.push_back(s0 + s1);
      outliers.push_back(s0 + s2 + s4);
      outliers.push_back(s0 + s1 + s3);
      outliers.push_back(s0 + s1 + s2 + s3 + s4 + s5);
      outliers.push_back(s0 + s1 + s2 + s3 + s4 + s5 + s6);

      outliers.push_back(reverse(s0));
      outliers.push_back(reverse(s0 + s1));
      outliers.push_back(reverse(s0 + s2 + s4));
      outliers.push_back(reverse(s0 + s1 + s3));
      outliers.push_back(reverse(s0 + s1 + s2 + s3 + s4 + s5));
      outliers.push_back(reverse(s0 + s1 + s2 + s3 + s4 + s5 + s6));
   }

   std::sort(outliers.begin(),outliers.end());

   purify_outliers(word_list,outliers);

   std::cout << "Complete." << std::endl;
}

void purify_outliers(const std::vector<std::string>& word_list, std::deque<std::string>& outliers)
{
   std::set<std::string> set1;
   std::set<std::string> set2;

   std::copy(word_list.begin(), word_list.end(), std::inserter(set1,set1.begin()));
   std::copy(outliers .begin(), outliers .end(), std::inserter(set2,set2.begin()));

   std::deque<std::string> intersect_list;

   std::set_intersection(set1.begin(),set1.end(),
                         set2.begin(),set2.end(),
                         std::back_inserter(intersect_list));

   std::sort(intersect_list.begin(),intersect_list.end());

   if (!intersect_list.empty())
   {
      std::deque<std::string> new_outliers;

      for (std::deque<std::string>::iterator it = outliers.begin(); it != outliers.end(); ++it)
      {
         if (!std::binary_search(intersect_list.begin(),intersect_list.end(),*it))
         {
            new_outliers.push_back(*it);
         }
      }

      outliers.swap(new_outliers);
   }
}