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subbreak2.h
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subbreak2.h
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/*! \file subbreak2.h
* \brief Breaking non-exact substitution ciphers
* \author Georgi Gerganov
*/
#pragma once
#include "common.h"
#include <map>
#include <cmath>
#include <vector>
#include <string>
namespace Cipher {
using TCode = int32_t;
using TProb = double;
using TGramLen = int32_t;
using THint = std::vector<int32_t>;
using TPlainText = std::vector<TLetter>;
using TLetterCount = std::vector<int>;
using TClusterCount = std::vector<int>;
using TClusterPos = std::vector<std::vector<int>>;
struct TParameters {
// clustering params
int minClusters = 23;
int maxClusters = 30;
int nIterationsPerUpdate = 100000;
int nChangePerIteration = 1;
// simulated annealing params
int saMaxIterations = 20000000;
float temp0 = 1e0;
float coolingRate = 0.999995;
// subbreak params
int nSubbreakIterations = 300;
TProb pNonAlphabetic = 0.0;
// Metropolis–Hastings params
int nMHInitialIters = 100;
int nMHIters = 100;
// language model
bool includeSpaces = true;
float wEnglishFreq = 10.0f;
float wLanguageModel = 1.0f;
// simulation parameters
float waveformDeviationMin = 0.1f;
float waveformDeviationSig = 0.2f;
float waveformDetectionErrorP = 0.10f;
float waveformDetectionErrorMin = 0.5f;
float waveformDetectionErrorSig = 0.4f;
float similarityNoiseSig = 0.1f;
float similarityMismatchAvg = 0.3f;
float similarityMismatchSig = 0.2f;
THint hint = {};
};
struct TFreqMap {
TGramLen len = -1;
TProb pmin = 0.0;
int64_t nTotal = 0;
std::vector<TProb> prob;
};
struct TResult {
int32_t id = 0;
TProb p = -100.0;
TClusterToLetterMap clMap;
TClusters clusters;
};
TCode calcCode(const char * data, int n);
bool loadFreqMap(const char * fname, TFreqMap & res);
bool encryptExact(const TParameters & params, const std::string & text, TClusters & clusters);
bool generateSimilarityMap(const TParameters & params, const std::string & text, TSimilarityMap & ccMap);
bool generateClusters(const TParameters & params, int n, TClusters & clusters);
bool printClusterGoodness(const std::string & text, const TClusters & clusters);
float costF(const TSimilarityMap & ccMap, const TClusters & clusters);
float costFUpdate(const TSimilarityMap & ccMap, const TClusters & clusters, int i, int cid, float c0);
bool doSimulatedAnnealing3(
const TParameters & params,
const TSimilarityMap & ccMap,
TClusters & clusters);
bool doSimulatedAnnealing4(
const TParameters & params,
const TFreqMap & freqMap,
const TClusters & clusters,
TClusterToLetterMap & clMap);
bool doSimulatedAnnealing5(
const TParameters & params,
const TFreqMap & freqMap,
const TSimilarityMap & ccMap,
TClusters & clusters,
TClusterToLetterMap & clMap);
bool subbreak(
const TParameters & params,
const TFreqMap & freqMap,
TResult & result);
bool subbreak1(
const TParameters & params,
const TFreqMap & freqMap,
TResult & result);
bool generateClustersInitialGuess(
const TParameters & params,
const TSimilarityMap & ccMap,
TClusters & clusters);
bool mutateClusters(const TParameters & params, TClusters & clusters);
double calcPClusters(
const TParameters & ,
const TSimilarityMap & ,
const TSimilarityMap & logMap,
const TSimilarityMap & logMapInv,
const TClusters & clusters,
const TClusterToLetterMap & clMap);
bool normalizeSimilarityMap(
const TParameters & ,
TSimilarityMap & ccMap,
TSimilarityMap & logMap,
TSimilarityMap & logMapInv);
void printText(const TClusters & t);
void printText(const TClusters & t, const TClusterToLetterMap & clMap);
class Processor {
public:
Processor();
bool init(
const TParameters & params,
const TFreqMap & freqMap,
const TSimilarityMap & similarityMap);
bool setPNonAlphabetic(TProb p);
bool setWEnglishFreq(float w);
bool setHint(const THint & hint);
bool compute();
int getIters() const { return m_nMHInitialIters; }
const TResult & getResult() const;
const TSimilarityMap & getSimilarityMap() const;
private:
TParameters m_params;
const TFreqMap* m_freqMap = nullptr;
TSimilarityMap m_similarityMap;
TSimilarityMap m_logMap;
TSimilarityMap m_logMapInv;
int m_nMHInitialIters = 0;
double m_pCur = 0.0f;
TResult m_curResult;
};
}