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subbreak2.cpp
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subbreak2.cpp
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/*! \file subbreak2.cpp
* \brief Enter description here.
* \author Georgi Gerganov
*/
#include "subbreak2.h"
#include <array>
#include <cstdlib>
#include <fstream>
#include <chrono>
namespace Cipher {
inline float frand() { return ((float)rand())/RAND_MAX; }
static const std::array<float, 26> kEnglishLetterFreq = {
8.167,
1.492,
2.782,
4.253,
12.702,
2.228,
2.015,
6.094,
6.966,
0.153,
0.772,
4.025,
2.406,
6.749,
7.507,
1.929,
0.095,
5.987,
6.327,
9.056,
2.758,
0.978,
2.360,
0.150,
1.974,
0.074,
};
static const std::array<TLetter, 256> kCharToLetter = {
/* { 0, */ 0 /* } */,
/* { 1, */ 0 /* } */,
/* { 2, */ 0 /* } */,
/* { 3, */ 0 /* } */,
/* { 4, */ 0 /* } */,
/* { 5, */ 0 /* } */,
/* { 6, */ 0 /* } */,
/* { 7, */ 0 /* } */,
/* { 8, */ 0 /* } */,
/* { 9, */ 0 /* } */,
/* { 10, */ 0 /* } */,
/* { 11, */ 0 /* } */,
/* { 12, */ 0 /* } */,
/* { 13, */ 0 /* } */,
/* { 14, */ 0 /* } */,
/* { 15, */ 0 /* } */,
/* { 16, */ 0 /* } */,
/* { 17, */ 0 /* } */,
/* { 18, */ 0 /* } */,
/* { 19, */ 0 /* } */,
/* { 20, */ 0 /* } */,
/* { 21, */ 0 /* } */,
/* { 22, */ 0 /* } */,
/* { 23, */ 0 /* } */,
/* { 24, */ 0 /* } */,
/* { 25, */ 0 /* } */,
/* { 26, */ 0 /* } */,
/* { 27, */ 0 /* } */,
/* { 28, */ 0 /* } */,
/* { 29, */ 0 /* } */,
/* { 30, */ 0 /* } */,
/* { 31, */ 0 /* } */,
/* { 32, */ 0 /* } */,
/* { 33, */ 0 /* } */,
/* { 34, */ 0 /* } */,
/* { 35, */ 0 /* } */,
/* { 36, */ 0 /* } */,
/* { 37, */ 0 /* } */,
/* { 38, */ 0 /* } */,
/* { 39, */ 0 /* } */,
/* { 40, */ 0 /* } */,
/* { 41, */ 0 /* } */,
/* { 42, */ 0 /* } */,
/* { 43, */ 0 /* } */,
/* { 44, */ 0 /* } */,
/* { 45, */ 0 /* } */,
/* { 46, */ 0 /* } */,
/* { 47, */ 0 /* } */,
/* { 48, */ 0 /* } */,
/* { 49, */ 0 /* } */,
/* { 50, */ 0 /* } */,
/* { 51, */ 0 /* } */,
/* { 52, */ 0 /* } */,
/* { 53, */ 0 /* } */,
/* { 54, */ 0 /* } */,
/* { 55, */ 0 /* } */,
/* { 56, */ 0 /* } */,
/* { 57, */ 0 /* } */,
/* { 58, */ 0 /* } */,
/* { 59, */ 0 /* } */,
/* { 60, */ 0 /* } */,
/* { 61, */ 0 /* } */,
/* { 62, */ 0 /* } */,
/* { 63, */ 0 /* } */,
/* { 64, */ 0 /* } */,
/* { 65, */ 1 /* } */,
/* { 66, */ 2 /* } */,
/* { 67, */ 3 /* } */,
/* { 68, */ 4 /* } */,
/* { 69, */ 5 /* } */,
/* { 70, */ 6 /* } */,
/* { 71, */ 7 /* } */,
/* { 72, */ 8 /* } */,
/* { 73, */ 9 /* } */,
/* { 74, */ 10 /* } */,
/* { 75, */ 11 /* } */,
/* { 76, */ 12 /* } */,
/* { 77, */ 13 /* } */,
/* { 78, */ 14 /* } */,
/* { 79, */ 15 /* } */,
/* { 80, */ 16 /* } */,
/* { 81, */ 17 /* } */,
/* { 82, */ 18 /* } */,
/* { 83, */ 19 /* } */,
/* { 84, */ 20 /* } */,
/* { 85, */ 21 /* } */,
/* { 86, */ 22 /* } */,
/* { 87, */ 23 /* } */,
/* { 88, */ 24 /* } */,
/* { 89, */ 25 /* } */,
/* { 90, */ 26 /* } */,
/* { 91, */ 0 /* } */,
/* { 92, */ 0 /* } */,
/* { 93, */ 0 /* } */,
/* { 94, */ 0 /* } */,
/* { 95, */ 0 /* } */,
/* { 96, */ 0 /* } */,
/* { 97, */ 1 /* } */,
/* { 98, */ 2 /* } */,
/* { 99, */ 3 /* } */,
/* { 100, */ 4 /* } */,
/* { 101, */ 5 /* } */,
/* { 102, */ 6 /* } */,
/* { 103, */ 7 /* } */,
/* { 104, */ 8 /* } */,
/* { 105, */ 9 /* } */,
/* { 106, */ 10 /* } */,
/* { 107, */ 11 /* } */,
/* { 108, */ 12 /* } */,
/* { 109, */ 13 /* } */,
/* { 110, */ 14 /* } */,
/* { 111, */ 15 /* } */,
/* { 112, */ 16 /* } */,
/* { 113, */ 17 /* } */,
/* { 114, */ 18 /* } */,
/* { 115, */ 19 /* } */,
/* { 116, */ 20 /* } */,
/* { 117, */ 21 /* } */,
/* { 118, */ 22 /* } */,
/* { 119, */ 23 /* } */,
/* { 120, */ 24 /* } */,
/* { 121, */ 25 /* } */,
/* { 122, */ 26 /* } */,
/* { 123, */ 0 /* } */,
/* { 124, */ 0 /* } */,
/* { 125, */ 0 /* } */,
/* { 126, */ 0 /* } */,
/* { 127, */ 0 /* } */,
/* { 128, */ 0 /* } */,
/* { 129, */ 0 /* } */,
/* { 130, */ 0 /* } */,
/* { 131, */ 0 /* } */,
/* { 132, */ 0 /* } */,
/* { 133, */ 0 /* } */,
/* { 134, */ 0 /* } */,
/* { 135, */ 0 /* } */,
/* { 136, */ 0 /* } */,
/* { 137, */ 0 /* } */,
/* { 138, */ 0 /* } */,
/* { 139, */ 0 /* } */,
/* { 140, */ 0 /* } */,
/* { 141, */ 0 /* } */,
/* { 142, */ 0 /* } */,
/* { 143, */ 0 /* } */,
/* { 144, */ 0 /* } */,
/* { 145, */ 0 /* } */,
/* { 146, */ 0 /* } */,
/* { 147, */ 0 /* } */,
/* { 148, */ 0 /* } */,
/* { 149, */ 0 /* } */,
/* { 150, */ 0 /* } */,
/* { 151, */ 0 /* } */,
/* { 152, */ 0 /* } */,
/* { 153, */ 0 /* } */,
/* { 154, */ 0 /* } */,
/* { 155, */ 0 /* } */,
/* { 156, */ 0 /* } */,
/* { 157, */ 0 /* } */,
/* { 158, */ 0 /* } */,
/* { 159, */ 0 /* } */,
/* { 160, */ 0 /* } */,
/* { 161, */ 0 /* } */,
/* { 162, */ 0 /* } */,
/* { 163, */ 0 /* } */,
/* { 164, */ 0 /* } */,
/* { 165, */ 0 /* } */,
/* { 166, */ 0 /* } */,
/* { 167, */ 0 /* } */,
/* { 168, */ 0 /* } */,
/* { 169, */ 0 /* } */,
/* { 170, */ 0 /* } */,
/* { 171, */ 0 /* } */,
/* { 172, */ 0 /* } */,
/* { 173, */ 0 /* } */,
/* { 174, */ 0 /* } */,
/* { 175, */ 0 /* } */,
/* { 176, */ 0 /* } */,
/* { 177, */ 0 /* } */,
/* { 178, */ 0 /* } */,
/* { 179, */ 0 /* } */,
/* { 180, */ 0 /* } */,
/* { 181, */ 0 /* } */,
/* { 182, */ 0 /* } */,
/* { 183, */ 0 /* } */,
/* { 184, */ 0 /* } */,
/* { 185, */ 0 /* } */,
/* { 186, */ 0 /* } */,
/* { 187, */ 0 /* } */,
/* { 188, */ 0 /* } */,
/* { 189, */ 0 /* } */,
/* { 190, */ 0 /* } */,
/* { 191, */ 0 /* } */,
/* { 192, */ 0 /* } */,
/* { 193, */ 0 /* } */,
/* { 194, */ 0 /* } */,
/* { 195, */ 0 /* } */,
/* { 196, */ 0 /* } */,
/* { 197, */ 0 /* } */,
/* { 198, */ 0 /* } */,
/* { 199, */ 0 /* } */,
/* { 200, */ 0 /* } */,
/* { 201, */ 0 /* } */,
/* { 202, */ 0 /* } */,
/* { 203, */ 0 /* } */,
/* { 204, */ 0 /* } */,
/* { 205, */ 0 /* } */,
/* { 206, */ 0 /* } */,
/* { 207, */ 0 /* } */,
/* { 208, */ 0 /* } */,
/* { 209, */ 0 /* } */,
/* { 210, */ 0 /* } */,
/* { 211, */ 0 /* } */,
/* { 212, */ 0 /* } */,
/* { 213, */ 0 /* } */,
/* { 214, */ 0 /* } */,
/* { 215, */ 0 /* } */,
/* { 216, */ 0 /* } */,
/* { 217, */ 0 /* } */,
/* { 218, */ 0 /* } */,
/* { 219, */ 0 /* } */,
/* { 220, */ 0 /* } */,
/* { 221, */ 0 /* } */,
/* { 222, */ 0 /* } */,
/* { 223, */ 0 /* } */,
/* { 224, */ 0 /* } */,
/* { 225, */ 0 /* } */,
/* { 226, */ 0 /* } */,
/* { 227, */ 0 /* } */,
/* { 228, */ 0 /* } */,
/* { 229, */ 0 /* } */,
/* { 230, */ 0 /* } */,
/* { 231, */ 0 /* } */,
/* { 232, */ 0 /* } */,
/* { 233, */ 0 /* } */,
/* { 234, */ 0 /* } */,
/* { 235, */ 0 /* } */,
/* { 236, */ 0 /* } */,
/* { 237, */ 0 /* } */,
/* { 238, */ 0 /* } */,
/* { 239, */ 0 /* } */,
/* { 240, */ 0 /* } */,
/* { 241, */ 0 /* } */,
/* { 242, */ 0 /* } */,
/* { 243, */ 0 /* } */,
/* { 244, */ 0 /* } */,
/* { 245, */ 0 /* } */,
/* { 246, */ 0 /* } */,
/* { 247, */ 0 /* } */,
/* { 248, */ 0 /* } */,
/* { 249, */ 0 /* } */,
/* { 250, */ 0 /* } */,
/* { 251, */ 0 /* } */,
/* { 252, */ 0 /* } */,
/* { 253, */ 0 /* } */,
/* { 254, */ 0 /* } */,
/* { 255, */ 0 /* } */,
};
TCode calcCode(const char * data, int n) {
TCode res = 0;
do { res <<= 5; res += kCharToLetter[*data++]; } while (--n > 0);
return res;
}
bool loadFreqMap(const char * fname, TFreqMap & res) {
auto & len = res.len;
auto & prob = res.prob;
len = 0;
prob.clear();
printf("[+] Loading n-gram file '%s'\n", fname);
std::ifstream fin(fname);
if (fin.good() == false) {
printf(" Failed to open file\n");
return false;
}
std::string gram;
int32_t nfreq = 0;
int64_t nTotal = 0;
while (true) {
fin >> gram >> nfreq;
if (fin.eof()) break;
nTotal += nfreq;
}
fin.clear();
fin.seekg(0);
while (true) {
fin >> gram >> nfreq;
if (fin.eof()) break;
if (len == 0) {
len = gram.size();
prob.resize(1 << (5*len), 1.0);
} else if (len != gram.size()) {
printf("Error: loaded n-grams with vaying lengths\n");
return false;
}
TCode idx = calcCode(gram.data(), len);
if (prob[idx] < 0.5) {
printf("Error: duplicate n-gram '%s'\n", gram.c_str());
return false;
}
prob[idx] = std::log10(((double)(nfreq))/nTotal);
}
printf(" Total n-grams loaded = %g\n", (double) nTotal);
res.pmin = std::log(100.01/nTotal);
printf(" P-min = %g\n", res.pmin);
for (auto & p : prob) {
if (p >= 0.5) p = res.pmin;
}
return true;
}
bool generateClusters(const TParameters & params, int N, TClusters & clusters, const std::vector<int> & hint) {
clusters.clear();
clusters.resize(N);
std::map<int, bool> used;
for (int i = 0; i < N; ++i) {
if (hint[i] < 0) continue;
clusters[i] = hint[i];
used[hint[i]] = true;
}
int cid = 0;
for (int i = 0; i < N; ++i) {
if (hint[i] >= 0) continue;
//clusters[i] = rand()%params.maxClusters;
while (used[cid]) {
if (++cid >= params.maxClusters) cid = 0;
}
clusters[i] = cid;
if (++cid >= params.maxClusters) cid = 0;
}
return true;
}
bool printClusterGoodness(const std::string & text, const TClusters & clusters) {
int len = text.length();
int ncorrect = 0;
int ntotal = 0;
for (int i = 0; i < len; ++i) {
for (int j = i + 1; j < len; ++j) {
bool ism0 = (text[i] == text[j]);
bool ism1 = (clusters[i] == clusters[j]);
if ((ism0 && ism1) || (!ism0 && !ism1)) {
++ncorrect;
}
++ntotal;
}
}
printf("[+] Cluster goodness = %g\n", ((float)(ncorrect))/ntotal);
return true;
}
float costF(const TSimilarityMap & ccMap, const TClusters & clusters) {
int len = clusters.size();
float res = 0.0f;
for (int i = 0; i < len; ++i) {
for (int j = i + 1; j < len; ++j) {
if (clusters[i] == clusters[j]) {
res += 1.0f - ccMap.at(i).at(j);
}
}
}
return -res;
}
float costFUpdate(const TSimilarityMap & ccMap, const TClusters & clusters, int i, int cid, float c0) {
int len = clusters.size();
float res = -c0;
for (int j = 0; j < len; ++j) {
if (cid == clusters[j]) {
res -= 1.0f - ccMap.at(i).at(j);
}
if (clusters[i] == clusters[j]) {
res += 1.0f - ccMap.at(i).at(j);
}
}
return -res;
}
TProb calcScore0(const TParameters & params, const TFreqMap & freqMap, const TClusters & txt, const TClusterToLetterMap & clMap) {
TProb res = 0.0;
auto n = txt.size();
const auto & len = freqMap.len;
const auto & pmin = freqMap.pmin;
const auto & prob = freqMap.prob;
int nlet = 0;
std::array<int, 26> letCount;
letCount.fill(0);
std::vector<TLetter> plain(n);
for (int i = 0; i < n; ++i) {
plain[i] = clMap.at(txt[i]);
if (plain[i] > 0 && plain[i] <= 26) {
++letCount[plain[i] - 1];
++nlet;
}
}
float letFreqCost = 0.0;
for (int i = 0; i < 26; ++i) {
float curf = 0.01*kEnglishLetterFreq[i] - ((float)(letCount[i]))/((float)(nlet));
letFreqCost += curf*curf;
}
letFreqCost /= 26.0;
letFreqCost = sqrt(letFreqCost);
//printf("letFreqCost = %g\n", letFreqCost);
int i1 = 0;
int k = len;
TCode curc = 0;
TCode mask = (1 << 5*(len-1)) - 1;
while (k > 0) {
if (i1 >= n) return -1e100;
auto c = plain[i1];
++i1;
if (c > 0 && c <= 26) {
curc <<= 5;
curc += c;
--k;
} else {
res += pmin;
}
}
res += prob[curc];
while (true) {
curc &= mask;
while (true) {
if (i1 >= n) return res/n - params.wEnglishFreq*letFreqCost;
auto c = plain[i1];
++i1;
if (c > 0 && c <= 26) {
curc <<= 5;
curc += c;
break;
} else {
res += pmin;
}
}
res += prob[curc];
}
return res/n - params.wEnglishFreq*letFreqCost;
}
bool doSimulatedAnnealing3(
const TParameters & params,
const TSimilarityMap & ccMap,
TClusters & clusters,
const std::vector<int> & hint
) {
int N = clusters.size();
int ncc = 0;
float ccavg = 0.0;
for (int j = 0; j < N; ++j) {
for (int i = j + 1; i < N; ++i) {
ccavg += ccMap.at(j).at(i);
++ncc;
}
}
ccavg /= ncc;
printf("Average cc = %g\n", ccavg);
float temp = params.temp0;
float cost0 = costF(ccMap, clusters);
auto clustersNew = clusters;
auto clustersBest = clusters;
bool hintMerge = false;
int nRepeat = 0;
float costOld = cost0;
for (int iter = 0; iter < params.saMaxIterations; ++iter) {
if (iter%5000 == 0) {
printf("Iter %5d : temp = %16.4f, cost0 = %8.4f\n", iter, temp, cost0);
}
if (costOld == cost0) {
if (++nRepeat == 0.1*params.saMaxIterations) {
printf("No improvement for long time. Aborting\n");
iter = 0.95*params.saMaxIterations + 1;
}
} else {
nRepeat = 0;
costOld = cost0;
}
bool doMerge = iter > 0.95*params.saMaxIterations;
if (doMerge) {
if (hintMerge == false) {
bool isValid = true;
std::map<TCluster, int> ch;
for (int k = 0; k < N; ++k) {
if (hint[k] < 0) continue;
int cid = clusters[k];
if (ch.find(cid) != ch.end()) {
if (ch[cid] != hint[k]) {
isValid = false;
break;
}
} else {
ch[cid] = hint[k];
}
}
printf("IsValid = %d\n", isValid);
for (int k0 = 0; k0 < N; ++k0) {
if (hint[k0] < 0) continue;
for (int k1 = k0 + 1; k1 < N; ++k1) {
if (hint[k1] < 0) continue;
if (hint[k0] != hint[k1]) continue;
if (clusters[k0] != clusters[k1]) {
printf("Merging clusters %d and %d based on hint\n", clusters[k0], clusters[k1]);
int cid0 = clusters[k0];
int cid1 = clusters[k1];
for (int i = 0; i < N; ++i) {
if (clusters[i] == cid1) {
clusters[i] = cid0;
}
}
}
}
}
cost0 = costF(ccMap, clusters);
hintMerge = true;
}
clustersNew = clusters;
int i0 = rand()%N;
int i1 = rand()%N;
while (clusters[i0] == clusters[i1] || ccMap.at(i0).at(i1) < ccavg) {
i0 = rand()%N;
i1 = rand()%N;
}
int cid0 = clusters[i0];
int cid1 = clusters[i1];
std::map<int, int> csize;
for (const auto & c : clusters) {
++csize[c];
}
int nonzero = csize.size();
if (nonzero <= params.minClusters) {
printf("Reached min number of clusters. Done\n");
break;
}
break;
int n0 = csize[cid0];
int n1 = csize[cid1];
--nonzero;
for (int i = 0; i < N; ++i) {
if (clustersNew[i] == cid1) {
clustersNew[i] = cid0;
}
}
float cost1 = costF(ccMap, clustersNew);
cost1 += 1.0f*n0*n1*(1.0f - ccavg);
float delta = cost1 - cost0;
if (delta > 0 || (std::exp(delta/temp) > frand())) {
printf("merge %d size %d - %d size %d\n", cid0, n0, cid1, n1);
cost0 = cost1 - 1.0f*n0*n1*(1.0f - ccavg);
clusters = clustersNew;
}
} else {
clustersNew = clusters;
clustersBest = clusters;
float costBest = -1e10;
float costCur = cost0;
for (int k = 0; k < params.nChangePerIteration; ++k) {
int i = rand()%N;
while (hint[i] >= 0) {
i = rand()%N;
}
int cid = clustersNew[i];
while (cid == clustersNew[i]) {
clustersNew[i] = rand()%params.maxClusters;
}
costCur = costFUpdate(ccMap, clustersNew, i, cid, costCur);
if (costCur > costBest) {
costBest = costCur;
clustersBest = clustersNew;
}
}
float cost1 = costBest;
float delta = cost1 - cost0;
if (delta > 0 || (std::exp(delta/temp) > frand())) {
cost0 = cost1;
clusters = clustersBest;
}
}
temp *= params.coolingRate;
}
return true;
}
bool doSimulatedAnnealing4(
const TParameters & params,
const TFreqMap & freqMap,
const TClusters & clusters,
TClusterToLetterMap & clMap,
const std::vector<int> & hint
) {
int N = clusters.size();
clMap.clear();
std::map<TLetter, bool> used;
std::map<TCluster, bool> fixed;
for (int i = 0; i < (int) hint.size(); ++i) {
if (hint[i] < 0) continue;
//if (used[hint[i]]) continue;
if (fixed[clusters[i]]) continue;
clMap[clusters[i]] = hint[i];
used[hint[i]] = true;
fixed[clusters[i]] = true;
printf("Fixed %d\n", clusters[i]);
}
{
int ii = 0;
for (int i = 0; i < params.maxClusters; ++i) {
if (fixed[i]) continue;
while (used[ii]) ++ii;
clMap[i] = ii++;
}
}
float temp = params.temp0;
float cost0 = calcScore0(params, freqMap, clusters, clMap);
auto clMapSave = clMap;
auto clMapBest = clMap;
for (int iter = 0; iter < params.saMaxIterations; ++iter) {
if (iter%5000 == 0) {
printf("Iter %5d : temp = %16.4f, cost0 = %8.4f\n", iter, temp, cost0);
for (int i = 0; i < N; ++i) {
if (clMap[clusters[i]] > 0 && clMap[clusters[i]] <= 26) {
printf("%c", 'a'+clMap[clusters[i]]-1);
} else {
printf(".");
}
}
printf("\n");
}
clMapSave = clMap;
clMapBest = clMap;
float costBest = -1e10;
for (int k = 0; k < 1; ++k) {
{
int i2 = rand()%params.maxClusters;
int i3 = rand()%params.maxClusters;
while (i2 == i3 || fixed[i2] || fixed[i3]) {
i2 = rand()%params.maxClusters;
i3 = rand()%params.maxClusters;
}
std::swap(clMap[i2], clMap[i3]);
}
int i2 = rand()%params.maxClusters;
while (fixed[i2]) {
i2 = rand()%params.maxClusters;
}
int letterNew = rand()%27;
while (clMap[i2] == letterNew) {
letterNew = rand()%27;
}
clMap[i2] = letterNew;
float costCur = calcScore0(params, freqMap, clusters, clMap);
if (costCur > costBest) {
costBest = costCur;
clMapBest = clMap;
}
}
//float costBest = -1e10;
//for (int k = 0; k < 1; ++k) {
// int i2 = rand()%params.maxClusters;
// int i3 = rand()%params.maxClusters;
// while (i2 == i3 || fixed[i2] || fixed[i3]) {
// i2 = rand()%params.maxClusters;
// i3 = rand()%params.maxClusters;
// }
// std::swap(clMap[i2], clMap[i3]);
// float costCur = calcScore0(params, freqMap, clusters, clMap);
// if (costCur > costBest) {
// costBest = costCur;
// clMapBest = clMap;
// }
//}
clMap = clMapBest;
float cost1 = costBest;
float delta = cost1 - cost0;
if (delta > 0 || (std::exp(delta/temp) > frand())) {
cost0 = cost1;
} else {
clMap = clMapSave;
}
temp *= params.coolingRate;
}
for (auto & cl : clMap) {
printf("%d - %c\n", cl.first, 'a' + cl.second - 1);
}
for (int i = 0; i < 27; ++i) {
printf(" %c - ", 'a' + i - 1);
for (auto & cl : clMap) {
if (cl.second == i) {
printf("%d ", cl.first);
}
}
printf("\n");
}
return true;
}
bool doSimulatedAnnealing5(
const TParameters & params,
const TFreqMap & freqMap,
const TSimilarityMap & ccMap,
TClusters & clusters,
TClusterToLetterMap & clMap,
const std::vector<int> & hint
) {
int N = clusters.size();
int ncc = 0;
float ccavg = 0.0;
for (int j = 0; j < N; ++j) {
for (int i = j + 1; i < N; ++i) {
ccavg += ccMap.at(j).at(i);
++ncc;
}
}
ccavg /= ncc;
printf("Average cc = %g\n", ccavg);
clMap.clear();
std::map<TLetter, bool> used;
std::map<TCluster, bool> fixed;
for (int i = 0; i < (int) hint.size(); ++i) {
if (hint[i] < 0) continue;
//if (used[hint[i]]) continue;
if (fixed[clusters[i]]) continue;
clMap[clusters[i]] = hint[i];
used[hint[i]] = true;
fixed[clusters[i]] = true;
printf("Fixed %d\n", clusters[i]);
}
{
int ii = 0;
for (int i = 0; i < params.maxClusters; ++i) {
if (fixed[i]) continue;
while (used[ii]) ++ii;
clMap[i] = ii++;
}
}
float wlm = params.wLanguageModel;
float temp = params.temp0;
float cost0CL = costF(ccMap, clusters);
float cost0LM = calcScore0(params, freqMap, clusters, clMap);
float cost0 = cost0CL + wlm*cost0LM;
int nRepeat = 0;
float costOld = cost0;
auto tStart = std::chrono::high_resolution_clock::now();
for (int iter = 0; iter < params.saMaxIterations; ++iter) {
if (iter%10000 == 0) {
auto tEnd = std::chrono::high_resolution_clock::now();
float iterPerT = (float)(iter)/((float)(std::chrono::duration_cast<std::chrono::milliseconds>(tEnd - tStart).count()));
printf("Speed: %6.2f iter/ms, Iter %5d : temp = %16.4f, cost0 = %8.4f, costCL = %8.4f, costLM = %8.4f\n",
iterPerT, iter, temp, cost0, cost0CL, cost0LM);
for (int i = 0; i < clusters.size(); ++i) { printf("%c", 'a'+clMap[clusters[i]]-1); }
printf("\n");
}
if (costOld == cost0) {
//if (++nRepeat == 0.005*params.saMaxIterations) {
// printf("Heating\n");
// temp *= 100.1f;
//}
if (++nRepeat == 0.01*params.saMaxIterations) {
printf("No improvement for long time. Aborting\n");
iter = params.saMaxIterations + 1;
}
} else {
nRepeat = 0;
costOld = cost0;
}
int cid = -1;
int i1l = -1;
int i = rand()%N;
int i1 = rand()%params.maxClusters;
int i2 = rand()%params.maxClusters;
int i3 = rand()%params.maxClusters;
float costCurCL = cost0CL;
float costCurLM = cost0LM;
{
while (hint[i] >= 0) {
i = rand()%N;
}
cid = clusters[i];
while (cid == clusters[i]) {
clusters[i] = rand()%params.maxClusters;
}
costCurCL = costFUpdate(ccMap, clusters, i, cid, cost0CL);
float cost1 = costCurCL + wlm*cost0LM;
float delta = cost1 - cost0;
if (delta > 0 || (std::exp(0.01f*(delta/temp)) > frand())) {
cost0CL = costCurCL;
cost0 = cost1;
} else {
clusters[i] = cid;
}
}
{
while (i2 == i3 || fixed[i2] || fixed[i3]) {
i2 = rand()%params.maxClusters;
i3 = rand()%params.maxClusters;
}
std::swap(clMap[i2], clMap[i3]);
while (fixed[i1]) {
i1 = rand()%params.maxClusters;
}
i1l = clMap[i1];
int letterNew = rand()%27;
while (clMap[i1] == letterNew) {
letterNew = rand()%27;
}
clMap[i1] = letterNew;
costCurLM = calcScore0(params, freqMap, clusters, clMap);
float cost1 = cost0CL + wlm*costCurLM;
float delta = cost1 - cost0;
if (delta > 0 || (std::exp(0.01f*(delta/temp)) > frand())) {
cost0LM = costCurLM;
cost0 = cost1;
} else {
clMap[i1] = i1l;
std::swap(clMap[i2], clMap[i3]);
}
}
temp *= params.coolingRate;
}
return true;
}
void getRandomCLMap(
const TParameters & params,
const TClusters & clusters,
TClusterToLetterMap & clMap,
const std::vector<int> & hint) {
clMap.clear();
std::map<TLetter, bool> used;
std::map<TCluster, bool> fixed;
for (int i = 0; i < (int) hint.size(); ++i) {
if (hint[i] < 0) continue;
//if (used[hint[i]]) continue;
if (fixed[clusters[i]]) continue;
clMap[clusters[i]] = hint[i];
used[hint[i]] = true;
fixed[clusters[i]] = true;
printf("Fixed %d\n", clusters[i]);
}
{
for (int i = 0; i < params.maxClusters; ++i) {
if (fixed[i]) continue;
clMap[i] = rand()%27;
}
}
}