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subbreak3.cpp
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subbreak3.cpp
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/*! \file subbreak3.cpp
* \brief Enter description here.
* \author Georgi Gerganov
*/
#include "subbreak3.h"
#include "constants.h"
#include <array>
#include <cstdlib>
#include <fstream>
#include <chrono>
#include <cassert>
#include <algorithm>
namespace {
static const std::array<float, 28> kEnglishLetterWithSpacesFreq = {
0.000, // unused
7.228, // a
1.320, // b
2.462, // c
3.764,
11.239,
1.972,
1.783,
5.393,
6.165,
0.135,
0.683,
3.562,
2.129,
5.973,
6.644,
1.707,
0.084,
5.298,
5.599,
8.014,
2.441,
0.866,
2.089,
0.133,
1.747,
0.065,
11.505, // space
};
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, */ 27 /* } */,
/* { 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, */ 27 /* } */,
/* { 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 /* } */,
};
template <typename T>
void shuffle(T & t, int start = -1, int end = -1, const Cipher::THint & hint = {}) {
if (start == -1) start = 0;
if (end == -1) end = t.size();
for (int i = end - 1; i > start; --i) {
int i0 = i;
int i1 = rand()%(i - start + 1)+start;
if (hint.size() > 0 && (hint[i0] != -1 || hint[i1] != -1)) {
continue;
}
std::swap(t[i0], t[i1]);
}
}
}
namespace Cipher {
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, double pmin) {
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;
int64_t nfreq = 0;
res.nTotal = 0;
std::unordered_map<TCode, int64_t> pi64;
while (true) {
fin >> gram >> nfreq;
if (fin.eof()) break;
if (len == 0) {
len = gram.size();
} else if (len != (int) gram.size()) {
printf("Error: loaded n-grams with vaying lengths\n");
return false;
}
TCode idx = calcCode(gram.data(), len);
if (pi64[idx] > 0) {
printf("Error: duplicate n-gram '%s'\n", gram.c_str());
return false;
}
pi64[idx] = nfreq;
res.nTotal += nfreq;
}
printf(" Total n-grams loaded = %g\n", (double) res.nTotal);
// compute wildcard frequencies
{
const auto tStart = std::chrono::steady_clock::now();
std::vector<int32_t> masks((1 << len) - 1);
for (int m = 0; m < (int) masks.size(); ++m) {
auto & mask = masks[m];
mask = 0;
int32_t l = 0b11111;
int32_t mm = m;
for (int i = 0; i < len; ++i) {
if (mm & 1) {
mask |= l;
}
mm >>= 1;
l <<= 5;
}
// print mask in binary
printf(" Mask %2d: ", m);
for (int i = 0; i < 5*len; ++i) {
printf("%d", (mask >> (5*len - 1 - i)) & 1);
}
printf("\n");
}
{
std::unordered_map<TCode, int64_t> pwild;
for (const auto & [i, p] : pi64) {
if (p == 0) {
printf("i = %d, p == 0 - should not happen\n", i);
return false;
}
for (const auto & mask : masks) {
pwild[i & mask] += p;
}
}
printf("Size of pwild = %d\n", (int) pwild.size());
for (auto & [i, p] : pwild) {
pi64[i] = p;
}
printf("Size of pi64 = %d\n", (int) pi64.size());
}
if (pi64[0] != res.nTotal) {
printf("Error: wildcard probability mismatch - p[0] = %ld, expected %ld\n", (long) pi64[0], (long) res.nTotal);
return false;
}
const auto tEnd = std::chrono::steady_clock::now();
const auto tDiff = std::chrono::duration_cast<std::chrono::milliseconds>(tEnd - tStart).count();
printf(" Wildcard probabilities computed in %g ms\n", (double) tDiff);
}
// compute probabilities
{
const auto tStart = std::chrono::steady_clock::now();
res.pmin = std::log10(pmin);
printf(" P-min = %g\n", res.pmin);
for (auto & [i, p] : pi64) {
if (p == 0) {
printf("i = %d, p == 0 - should not happen\n", i);
return false;
} else {
double pp = double(p)/res.nTotal;
if (pp < pmin) {
prob[i] = res.pmin;
} else {
prob[i] = std::log10(pp);
}
}
}
const auto tEnd = std::chrono::steady_clock::now();
const auto tDiff = std::chrono::duration_cast<std::chrono::milliseconds>(tEnd - tStart).count();
printf(" Probability computation time = %g ms\n", (double) tDiff);
}
return true;
}
bool saveFreqMapBinary(const char * fname, const TFreqMap & freqMap) {
std::ofstream fout(fname, std::ios::binary);
if (fout.good() == false) {
printf(" Failed to open file '%s'\n", fname);
return false;
}
fout.write((const char *) &freqMap.len, sizeof(freqMap.len));
fout.write((const char *) &freqMap.nTotal, sizeof(freqMap.nTotal));
fout.write((const char *) &freqMap.pmin, sizeof(freqMap.pmin));
{ int32_t n = freqMap.prob.size(); fout.write((const char *) &n, sizeof(n)); }
{
std::map<TCode, TProb> sorted(freqMap.prob.begin(), freqMap.prob.end());
std::vector<TCode> keys;
for (const auto & [i, p] : sorted) {
if (p == freqMap.pmin) {
continue;
}
keys.push_back(i);
}
int32_t is = 0;
while (is < (int) keys.size()) {
fout.write((const char *) &keys[is], sizeof(keys[is]));
fout.write((const char *) &sorted[keys[is]], sizeof(sorted[keys[is]]));
if (is == (int) keys.size() - 1) break;
int32_t ie = is + 1;
while (keys[ie] - keys[ie - 1] < 256) {
++ie;
if (ie == (int) keys.size()) break;
if (ie == is + 255) break;
}
uint8_t n = (uint8_t) (ie - is - 1);
fout.write((const char *) &n, sizeof(n));
if (n > 0) {
for (int i = is + 1; i < ie; ++i) {
uint8_t d = (uint8_t) (keys[i] - keys[i - 1]);
fout.write((const char *) &d, sizeof(d));
fout.write((const char *) &sorted[keys[i]], sizeof(sorted[keys[i]]));
}
}
is = ie;
}
}
return true;
}
bool loadFreqMapBinary(const char * fname, TFreqMap & freqMap) {
std::ifstream fin(fname, std::ios::binary);
if (fin.good() == false) {
printf(" Failed to open file '%s'\n", fname);
return false;
}
fin.read((char *) &freqMap.len, sizeof(freqMap.len));
fin.read((char *) &freqMap.nTotal, sizeof(freqMap.nTotal));
fin.read((char *) &freqMap.pmin, sizeof(freqMap.pmin));
{
int32_t n;
fin.read((char *) &n, sizeof(n));
TCode curi;
TProb curp;
while (n > 0) {
fin.read((char *) &curi, sizeof(curi));
fin.read((char *) &curp, sizeof(curp));
freqMap.prob[curi] = curp;
uint8_t n8;
fin.read((char *) &n8, sizeof(n8));
if (n8 > 0) {
for (int i = 0; i < n8; ++i) {
uint8_t d;
fin.read((char *) &d, sizeof(d));
fin.read((char *) &curp, sizeof(curp));
freqMap.prob[curi + d] = curp;
curi += d;
}
n -= n8;
}
--n;
}
}
return true;
}
bool encryptExact(const TParameters & , const std::string & text, TClusters & clusters) {
auto myCharToLetter = kCharToLetter;
int k = 27;
{
for (auto & p : text) {
if (myCharToLetter[p] == 0) {
myCharToLetter[p] = ++k;
}
}
printf("[encryptExact] Unique symbols = %d\n", k);
}
std::vector<TClusterId> alphabetTransformation(k);
for (int i = 0; i < (int) alphabetTransformation.size(); ++i) {
alphabetTransformation[i] = i;
}
shuffle(alphabetTransformation);
clusters.resize(text.size());
for (int i = 0; i < (int) text.size(); ++i) {
assert(myCharToLetter[text[i]] > 0);
clusters[i] = alphabetTransformation[myCharToLetter[text[i]] - 1] + 1;
assert(clusters[i] > 0 && clusters[i] <= k);
}
return true;
}
TProb calcScore(
const TParameters & params,
const TFreqMap & freqMap,
const std::vector<TLetter> & plain,
std::vector<TProb> & memo) {
TProb res = 0.0;
const int n = plain.size();
const auto & len = freqMap.len;
const auto & prob = freqMap.prob;
int nlet = 0;
std::array<int, 28> letCount;
letCount.fill(0);
for (int i = 0; i < n; ++i) {
if (plain[i] >= 0 && plain[i] <= 27) {
++letCount[plain[i]];
++nlet;
}
}
float letFreqCost = 0.0;
{
auto & freq = kEnglishLetterWithSpacesFreq;
for (int i = 0; i <= 27; ++i) {
float curf = 0.01*freq[i] - ((float)(letCount[i]))/((float)(nlet));
letFreqCost += curf*curf;
}
}
letFreqCost /= 28.0;
letFreqCost = sqrt(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++];
curc <<= 5;
curc += c;
--k;
}
if (memo[i1 - 1] > 0.5) {
memo[i1 - 1] = prob.find(curc) == prob.end() ? freqMap.pmin : prob.at(curc);
}
res += memo[i1 - 1];
while (true) {
curc &= mask;
auto c = plain[i1++];
curc <<= 5;
curc += c;
if (memo[i1 - 1] > 0.5) {
memo[i1 - 1] = prob.find(curc) == prob.end() ? freqMap.pmin : prob.at(curc);
}
res += memo[i1 - 1];
if (i1 >= n) break;
}
return res/n - params.wEnglishFreq*letFreqCost;
}
TClusterToLetterMap getNullCLMap(const TClusters & clusters) {
TClusterToLetterMap result;
for (int i = 0; i < (int) clusters.size(); ++i) {
result[clusters[i]] = 0;
}
return result;
}
void translate(
const TClusterToLetterMap & clMap,
const TClusters & clusters,
std::vector<TLetter> & plain) {
plain.clear();
for (int i = 0; i < (int) clusters.size(); ++i) {
plain.push_back(clMap.at(clusters[i]));
}
}
bool beamSearch(
const TParameters & params,
const TFreqMap & freqMap,
TResult & result) {
const auto & clusters = result.clusters;
struct THypothesis {
TProb p;
TClusterToLetterMap clMap;
std::vector<TLetter> plain;
std::vector<int> nused;
std::vector<TProb> memo;
};
const int N = clusters.size();
const int nSymbols = 27;
const int nHypothesesToKeep = params.nHypothesesToKeep;
int nCur = 0;
std::vector<THypothesis> hypothesesCur;
std::vector<THypothesis> hypothesesNew;
hypothesesCur.resize(nHypothesesToKeep);
hypothesesNew.resize(nHypothesesToKeep*nSymbols);
{
auto & hcur = hypothesesCur[0];
hcur = { 0.0, getNullCLMap(clusters), {}, std::vector<int>(nSymbols + 1, 0), {}};
for (int i = 0; i < (int) params.hint.size(); ++i) {
if (params.hint[i] != -1) {
if (frand() > 0.5) {
hcur.clMap[clusters[i]] = params.hint[i];
}
}
}
translate(hcur.clMap, clusters, hcur.plain);
hcur.memo.resize(N, 1.0);
hcur.p = calcScore(params, freqMap, hcur.plain, hcur.memo);
++nCur;
}
// sorted clusters by frequency
std::vector<std::pair<TClusterId, std::vector<int>>> sorted;
{
std::map<TClusterId, std::vector<int>> counts;
for (int i = 0; i < (int) clusters.size(); ++i) {
counts[clusters[i]].push_back(i);
}
for (auto & kv : counts) {
sorted.push_back(std::make_pair(kv.first, kv.second));
}
std::sort(sorted.begin(), sorted.end(), [](const auto & a, const auto & b) {
return a.second.size() > b.second.size();
});
}
for (int i = 0; i < (int) sorted.size(); ++i) {
auto & kvSorted = sorted[i];
if (kvSorted.second.empty()) break;
//printf("Processing cluster %2d ('%c') - count = %d\n", kvSorted.first, getEncodedChar(kvSorted.first), (int) kvSorted.second.size());
if (hypothesesCur[0].clMap.at(kvSorted.first) != 0) {
continue;
}
int nNew = 0;
for (int j = 0; j < nCur; ++j) {
const auto & hcur = hypothesesCur[j];
for (int a = 1; a <= nSymbols; ++a) {
// TODO: maybe become parameter
// how many clusters can map to the same symbol
if (hcur.nused[a] > 20) continue;
auto & hnew = hypothesesNew[nNew++];
hnew = hcur;
hnew.nused[a]++;
for (int k = 0; k < (int) kvSorted.second.size(); ++k) {
const auto idx = kvSorted.second[k];
hnew.plain[idx] = a;
const auto idx0 = std::max(0, idx - freqMap.len + 1);
const auto idx1 = std::min(N - 1, idx + freqMap.len - 1);
std::fill(hnew.memo.begin() + idx0, hnew.memo.begin() + idx1 + 1, 1.0);
}
hnew.clMap[kvSorted.first] = a;
hnew.p = calcScore(params, freqMap, hnew.plain, hnew.memo);
}
}
// sort hypothesesNew by p
{
std::vector<std::pair<int, TProb>> sortedNew;
for (int j = 0; j < nNew; ++j) {
sortedNew.push_back(std::make_pair(j, hypothesesNew[j].p));
}
std::sort(sortedNew.begin(), sortedNew.end(), [](const auto & a, const auto & b) {
return a.second > b.second;
});
//printf("Top p = %g\n", (double) hypothesesNew[sortedNew[0].first].p);
//printDecoded(clusters, hypothesesNew[sortedNew[0].first].clMap);
nCur = std::min(nHypothesesToKeep, nNew);
for (int j = 0; j < nCur; ++j) {
hypothesesCur[j] = std::move(hypothesesNew[sortedNew[j].first]);
}
}
}
result.clMap = hypothesesCur[0].clMap;
result.p = hypothesesCur[0].p;
return true;
}
bool refineNearby(
const TParameters & params,
const TFreqMap & freqMap,
TResult & result) {
const int N = result.clusters.size();
struct THypothesis {
TProb p;
TClusterToLetterMap clMap;
std::vector<TLetter> plain;
std::vector<TProb> memo;
};
{
THypothesis hcur;
hcur = { 0.0, result.clMap, {}, {}};
translate(hcur.clMap, result.clusters, hcur.plain);
for (int i = 0; i < (int) params.hint.size(); ++i) {
if (params.hint[i] != -1) {
hcur.plain[i] = params.hint[i];
}
}
hcur.memo.resize(N, 1.0);
hcur.p = calcScore(params, freqMap, hcur.plain, hcur.memo);
THypothesis hbest = hcur;
while (true) {
bool converged = true;
hcur = hbest;
for (int i = 0; i < N; ++i) {
if (hcur.plain[i] < 1 || hcur.plain[i] > 26) continue;
auto hnew = hcur;
for (int k = 1; k < (int) kNearbyKeys.at('a' + hcur.plain[i] - 1).size(); ++k) {
hnew.plain[i] = kNearbyKeys.at('a' + hcur.plain[i] - 1)[k] - 'a' + 1;
const auto idx0 = std::max(0, i - freqMap.len + 1);
const auto idx1 = std::min(N - 1, i + freqMap.len - 1);
std::fill(hnew.memo.begin() + idx0, hnew.memo.begin() + idx1 + 1, 1.0);
hnew.p = calcScore(params, freqMap, hnew.plain, hnew.memo);
if (hbest.p < hnew.p) {
hbest = hnew;
converged = false;
}
}
}
if (converged) break;
}
printPlain(hbest.plain);
printf(" [%8.3f %8.3f]", (double) hbest.p, (double) result.p);
}
return true;
}
bool generateClustersInitialGuess(
const TParameters & params,
const TSimilarityMap & ccMap,
TClusters & clusters) {
int n = ccMap.size();
int nClusters = n;
clusters.resize(n);
for (int i = 0; i < n; ++i) {
clusters[i] = i;
}
struct Pair {
int i;
int j;
double cc;
bool operator < (const Pair & a) const { return cc > a.cc; }
};
std::vector<Pair> ccPairs;
for (int i = 0; i < n - 1; ++i) {
for (int j = i + 1; j < n; ++j) {
ccPairs.emplace_back(Pair{i, j, ccMap[i][j].cc});
}
}
std::sort(ccPairs.begin(), ccPairs.end());
{
std::vector<bool> used(n);
for (int k = 0; k < (int) ccPairs.size(); ++k) {
int i = ccPairs[k].i;
int j = ccPairs[k].j;
if (clusters[i] == clusters[j]) continue;
int cidi = clusters[i];
int cidj = clusters[j];
if (used[cidi] || used[cidj]) continue;
if (cidi > cidj) {
std::swap(cidi, cidj);
}
for (int p = 0; p < n; ++p) {
if (clusters[p] == cidj) {
clusters[p] = cidi;
}
}
used[cidj] = true;
--nClusters;
if (nClusters <= params.maxClusters) break;
}
}
{
int cnt = 0;
std::map<int, int> used;
for (auto & cid : clusters) {
if (used[cid] > 0) continue;
used[cid] = ++cnt;
}
for (auto & cid : clusters) {
cid = used[cid] - 1;
}
}
//printf("nClusters = %d\n", nClusters);
for (auto & cid : clusters) {
assert(cid >= 0 && cid < params.maxClusters);
}
return true;
}
bool mutateClusters(const TParameters & params, TClusters & clusters) {
int n = clusters.size();
for (int i = 0; i < 1; ++i) {
int idx = rand()%n;
auto old = clusters[idx];
do {
clusters[idx] = 1 + rand()%(params.maxClusters - 1);
} while (clusters[idx] == old);
}
return true;
}
double calcPClusters(
const TParameters & ,
const TSimilarityMap & ,
const TSimilarityMap & logMap,
const TSimilarityMap & logMapInv,
const TClusters & clusters,
const TClusterToLetterMap & ) {
double res = 0.0;
int n = clusters.size();
for (int j = 0; j < n - 1; ++j) {
for (int i = j + 1; i < n; ++i) {
if (clusters[i] == clusters[j]) {
res += logMap[j][i].cc;
} else {
res += logMapInv[j][i].cc;
}
}
}
return res/((n*(n-1))/2.0);
}
bool normalizeSimilarityMap(
const TParameters & params,
TSimilarityMap & ccMap,
TSimilarityMap & logMap,
TSimilarityMap & logMapInv) {
int n = ccMap.size();
double ccMin = std::numeric_limits<double>::max();
double ccMax = std::numeric_limits<double>::min();
for (int j = 0; j < n - 1; ++j) {
for (int i = j + 1; i < n; ++i) {
ccMin = std::min(ccMin, ccMap[j][i].cc);
ccMax = std::max(ccMax, ccMap[j][i].cc);
}
}
ccMin -= 1e-6;
ccMax += 1e-6;
//printf("ccMax = %g, ccMin = %g\n", ccMax, ccMin);
for (int j = 0; j < n; ++j) {
for (int i = 0; i < n; ++i) {