mirror of
https://github.com/zenorogue/hyperrogue.git
synced 2024-12-20 23:50:27 +00:00
706 lines
21 KiB
C++
706 lines
21 KiB
C++
// HyperRogue -- expansion_analyzer
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// Copyright (C) 2011-2018 Zeno Rogue, see 'hyper.cpp' for details
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namespace hr {
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int subtype(cell *c) {
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return patterns::getpatterninfo(c, patterns::PAT_NONE, 0).id;
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}
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bignum& bignum::operator +=(const bignum& b) {
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int K = isize(b.digits);
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if(K > isize(digits)) digits.resize(K);
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int carry = 0;
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for(int i=0; i<K || carry; i++) {
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if(i >= isize(digits)) digits.push_back(0);
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digits[i] += carry;
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if(i < K) digits[i] += b.digits[i];
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if(digits[i] >= BASE) {
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digits[i] -= BASE;
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carry = 1;
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}
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else carry = 0;
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}
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return *this;
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}
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void bignum::addmul(const bignum& b, int factor) {
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int K = isize(b.digits);
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if(K > isize(digits)) digits.resize(K);
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int carry = 0;
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for(int i=0; i<K || (carry > 0 && carry < -1); i++) {
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if(i >= isize(digits)) digits.push_back(0);
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long long l = digits[i];
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l += carry;
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if(i < K) l += b.digits[i] * factor;
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carry = 0;
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if(l >= BASE) carry = l / BASE;
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if(l < 0) carry = -(BASE-1-l) / BASE;
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l -= carry * BASE;
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digits[i] = l;
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}
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if(carry < 0) digits.back() -= BASE;
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}
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void operator ++(bignum &b, int) {
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int i = 0;
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while(true) {
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if(isize(b.digits) == i) { b.digits.push_back(1); break; }
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else if(b.digits[i] == bignum::BASE-1) {
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b.digits[i] = 0;
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i++;
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}
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else {
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b.digits[i]++;
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break;
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}
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}
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}
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string bignum::get_str(int max_length) {
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if(digits.empty()) return "0";
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string ret = its(digits.back());
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for(int i=isize(digits)-2; i>=0; i--) {
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if(isize(ret) > max_length && i) {
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ret += XLAT(" (%1 more digits)", its(9 * (i+1)));
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return ret;
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}
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ret += " ";
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string val = its(digits[i]);
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while(isize(val) < 9) val = "0" + val;
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ret += val;
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}
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return ret;
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}
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void canonicize(vector<int>& t) {
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for(int i=2; i<isize(t); i++)
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if((t[i] & 3) == 1 && (t[i-1] & 3) != 1)
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std::rotate(t.begin()+1, t.begin()+i, t.end());
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}
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vector<int> expansion_analyzer::gettype(cell *c) {
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vector<int> res;
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res.push_back(subtype(c) * 4 + 2);
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int d = celldist(c);
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for(int i=0; i<c->type; i++) {
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cell *c1 = c->cmove(i);
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res.push_back(subtype(c1) * 4 + celldist(c1) - d);
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}
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canonicize(res);
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return res;
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}
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int expansion_analyzer::sample_id(cell *c) {
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auto t = gettype(c);
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if(codeid.count(t)) return codeid[t];
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auto &cit = codeid[t];
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cit = isize(samples);
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samples.push_back(c);
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return cit;
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}
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template<class T, class U> vector<int> get_children_codes(cell *c, const T& distfun, const U& typefun) {
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vector<int> res;
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int d = distfun(c);
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cellwalker cw(c, 0);
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if(d > 0) {
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forCellCM(c2, c) if(celldist(cw.peek()) < d) break; else cw++;
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}
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for(int k=0; k<c->type; k++) {
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cell *c1 = cw.cpeek();
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cw++;
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if(distfun(c1) != d+1) continue;
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cell *c2 = cw.cpeek();
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if(distfun(c2) != d+1) continue;
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res.push_back(typefun(c1));
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}
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return res;
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}
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void expansion_analyzer::preliminary_grouping() {
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samples.clear();
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codeid.clear();
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children.clear();
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sample_id(currentmap->gamestart());
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// queue for, do not change to range-based for
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for(int i=0; i<isize(samples); i++)
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children.push_back(get_children_codes(samples[i], celldist, [this] (cell *c) { return sample_id(c); }));
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N = isize(samples);
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rootid = 0;
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diskid = N;
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children.push_back(children[rootid]);
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children[diskid].push_back(diskid);
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N++;
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}
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void expansion_analyzer::reduce_grouping() {
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int old_N = N;
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vector<int> grouping;
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grouping.resize(N);
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int nogroups = 1;
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for(int i=0; i<N; i++) grouping[i] = 0;
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while(true) {
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vector< pair<vector<int>, int > > childgroups(N);
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for(int i=0; i<N; i++) {
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childgroups[i].second = i;
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for(int j: children[i])
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childgroups[i].first.push_back(grouping[j]);
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// sort(childgroups[i].first.begin(), childgroups[i].first.end());
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}
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sort(childgroups.begin(), childgroups.end());
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int newgroups = 0;
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for(int i=0; i<N; i++) {
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if(i == 0 || childgroups[i].first != childgroups[i-1].first) newgroups++;
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grouping[childgroups[i].second] = newgroups - 1;
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}
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if(nogroups == newgroups) break;
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nogroups = newgroups;
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}
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vector<int> groupsample(nogroups);
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for(int i=0; i<N; i++) groupsample[grouping[i]] = i;
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vector<vector<int>> newchildren(nogroups);
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for(int i=0; i<nogroups; i++)
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for(int j: children[groupsample[i]])
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newchildren[i].push_back(grouping[j]);
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children = move(newchildren);
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for(auto& p: codeid) p.second = grouping[p.second];
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N = nogroups;
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rootid = grouping[rootid];
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diskid = grouping[diskid];
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printf("%d -> %d\n", old_N, N);
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for(int g=0; g<old_N; g++) if(grouping[g] != g) descendants.clear();
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}
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template<class T> int size_upto(vector<T>& v, int s) {
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int res = isize(v);
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if(res < s) v.resize(s);
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return res;
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}
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bignum& expansion_analyzer::get_descendants(int level) {
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if(!N) preliminary_grouping(), reduce_grouping();
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return get_descendants(level, rootid);
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}
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bignum& expansion_analyzer::get_descendants(int level, int type) {
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auto& pd = descendants;
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size_upto(pd, level+1);
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for(int d=0; d<=level; d++)
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for(int i=size_upto(pd[d], N); i<N; i++)
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if(d == 0) pd[d][i].be(1);
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else for(int j: children[i])
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pd[d][i] += pd[d-1][j];
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return pd[level][type];
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}
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bool expansion_analyzer::verify(int id) {
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if(id < isize(coef)) return false;
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long long res = 0;
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for(int t=0; t<isize(coef); t++)
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res += coef[t] * get_descendants(id-t-1).approx_ll();
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return res == get_descendants(id).approx_ll();
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}
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int expansion_analyzer::valid(int v, int step) {
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if(step < 0) return 0;
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if(get_descendants(step+v+v+5).approx_int() >= bignum::BASE) return 0;
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ld matrix[100][128];
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for(int i=0; i<v; i++)
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for(int j=0; j<v+1; j++)
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matrix[i][j] = get_descendants(step+i+j).approx();
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for(int k=0; k<v; k++) {
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int nextrow = k;
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while(nextrow < v && std::abs(matrix[nextrow][k]) < 1e-6)
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nextrow++;
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if(nextrow == v) return 1;
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if(nextrow != k) {
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// printf("swap %d %d\n", k, nextrow);
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for(int l=0; l<=v; l++) swap(matrix[k][l], matrix[nextrow][l]);
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// display();
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}
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ld divv = 1. / matrix[k][k];
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for(int k1=k; k1<=v; k1++) matrix[k][k1] *= divv;
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// printf("divide %d\n", k);
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// display();
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for(int k1=k+1; k1<v; k1++) if(matrix[k1][k] != 0) {
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ld coef = -matrix[k1][k];
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for(int k2=k; k2<=v; k2++) matrix[k1][k2] += matrix[k][k2] * coef;
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}
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// printf("zeros below %d\n", k);
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// display();
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}
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for(int k=v-1; k>=0; k--)
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for(int l=k-1; l>=0; l--)
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if(matrix[l][k]) matrix[l][v] -= matrix[l][k] * matrix[k][v];
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coef.resize(v);
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for(int i=0; i<v; i++) coef[i] = int(floor(matrix[v-1-i][v] + .5));
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for(int t=step+v; t<step+v+v+5; t++) if(!verify(t)) return 2;
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tested_to = step+v+v+5;
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while(tested_to < step+v+v+100 && get_descendants(tested_to).approx_ll() < bignum::BASE2) {
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if(!verify(tested_to)) return 2;
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tested_to++;
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}
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valid_from = step+v;
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return 3;
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}
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void expansion_analyzer::find_coefficients() {
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if(coefficients_known) return;
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if(!N) preliminary_grouping(), reduce_grouping();
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for(int v=1; v<25; v++)
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for(int step=0; step<1000; step++) {
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int val = valid(v, step);
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if(val == 0) break;
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if(val == 3) { coefficients_known = 2; return; }
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}
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coefficients_known = 1;
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}
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ld growth;
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ld expansion_analyzer::get_growth() {
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if(growth >= 1) return growth;
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if(!N) preliminary_grouping(), reduce_grouping();
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vector<ld> eigen(N, 1);
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ld total;
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for(int iter=0; iter<100000; iter++) {
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total = 0;
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vector<ld> neweigen(N, 0);
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for(int i=0; i<N; i++) {
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for(int j: children[i]) neweigen[i] += eigen[j];
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total += neweigen[i];
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}
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for(int i=0; i<N; i++) eigen[i] = .1 * eigen[i] + .9 * neweigen[i] / total;
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// for(int i=0; i<N; i++) printf("%lf ", eigen[i]); printf("total = %lf\n", total);
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}
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return growth = total;
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}
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void expansion_analyzer::reset() {
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N = 0;
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growth = 0;
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coefficients_known = 0;
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samples.clear();
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codeid.clear();
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children.clear();
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coef.clear();
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descendants.clear();
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}
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template<class T> int type_in(expansion_analyzer& ea, cell *c, const T& f) {
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if(!ea.N) ea.preliminary_grouping(), ea.reduce_grouping();
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vector<int> res;
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res.push_back(subtype(c) * 4 + 2);
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int d = f(c);
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for(int i=0; i<c->type; i++) {
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cell *c1 = c->cmove(i);
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res.push_back(subtype(c1) * 4 + f(c1) - d);
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}
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canonicize(res);
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if(ea.codeid.count(res)) return ea.codeid[res];
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int ret = ea.N++;
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ea.codeid[res] = ret;
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ea.children.emplace_back();
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ea.children[ret] = get_children_codes(c, f, [&ea, &f] (cell *c1) { return type_in(ea, c1, f); });
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return ret;
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}
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template<class T> int type_in_quick(expansion_analyzer& ea, cell *c, const T& f) {
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vector<int> res;
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res.push_back(subtype(c) * 4 + 2);
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int d = f(c);
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for(int i=0; i<c->type; i++) {
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cell *c1 = c->cmove(i);
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int dd = f(c1) - d;
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if(dd < -1 || dd > 1) return -1;
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res.push_back(subtype(c1) * 4 + dd);
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}
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canonicize(res);
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if(ea.codeid.count(res)) return ea.codeid[res];
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return -1;
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}
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bool sizes_known() {
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if(bounded) return false;
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// Castle Anthrax is infinite
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if(binarytiling) return false;
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// not implemented
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if(archimedean) return false;
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return true;
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}
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string expansion_analyzer::approximate_descendants(int d, int max_length) {
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auto t = SDL_GetTicks();
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while(isize(descendants) <= d && SDL_GetTicks() < t + 100)
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get_descendants(isize(descendants));
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if(isize(descendants) > d)
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return get_descendants(d).get_str(max_length);
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int v = isize(descendants) - 1;
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bignum& b = get_descendants(v);
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if(b.digits.empty()) return "0";
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ld log_10 = log(b.digits.back()) / log(10) + 9 * (isize(b.digits) - 1) + (d - v) * log(get_growth()) / log(10);
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int more_digits = int(log_10);
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return XLAT("about ") + fts(pow(10, log_10 - more_digits)) + "E" + its(more_digits);
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}
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enum eDistanceFrom { dfPlayer, dfStart, dfWorld };
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string dfnames[3] = { "player", "start", "land" };
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eDistanceFrom distance_from = dfPlayer;
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enum eNumberCoding { ncNone, ncDistance, ncType, ncDebug };
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string ncnames[4] = { "NO", "distance", "type", "debug" };
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eNumberCoding number_coding = ncDistance;
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bool mod_allowed() {
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return cheater || autocheat || archimedean || tour::on;
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}
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int curr_dist(cell *c) {
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switch(distance_from) {
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case dfPlayer:
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return c->cpdist < INFD ? c->cpdist : celldistance(cwt.at, c);
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case dfStart:
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return celldist(c);
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case dfWorld:
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if(!mod_allowed() && !among(c->land, laOcean, laIvoryTower, laEndorian, laDungeon, laTemple, laWhirlpool))
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return 0;
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if(c->master->alt) return celldistAlt(c);
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return inmirror(c) ? (c->landparam & 255) : c->landparam;
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}
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return 0;
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}
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int position;
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template<class T> int type_in_reduced(expansion_analyzer& ea, cell *c, const T& f) {
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int a = ea.N;
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int t = type_in(ea, c, f);
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if(expansion.N != a) {
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expansion.reduce_grouping();
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t = type_in(ea, c, f);
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}
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return t;
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}
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bool viewdists = false, use_color_codes = true, use_analyzer = true;
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int first_distance = 0, scrolltime = 0;
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bool scrolling_distances = false;
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color_t distribute_color(int id) {
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color_t v = 0xFFFFFF;
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for(int z=0; z<24; z++) if(id & (1<<z)) part(v, (id%3)) &=~ 1<<(7-(z/3));
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return v;
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}
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void do_viewdist(cell *c, const transmatrix& V, color_t& wcol, color_t& fcol) {
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if(behindsphere(V)) return;
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int cd = (use_color_codes || number_coding == ncDistance || number_coding == ncDebug) ? curr_dist(c) : 0;
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if(use_color_codes) {
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int dc = distcolors[cd&7];
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wcol = gradient(wcol, dc, 0, .4, 1);
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fcol = gradient(fcol, dc, 0, .4, 1);
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}
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string label = "";
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int dc;
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switch(number_coding) {
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case ncDistance: {
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label = its(cd);
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dc = distcolors[cd&7];
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break;
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}
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case ncType: {
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int t = type_in_quick(expansion, c, curr_dist);
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if(t >= 0) label = its(t), dc = distribute_color(t);
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break;
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}
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case ncDebug: {
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int d = celldistance(c, distance_from == dfPlayer ? cwt.at : currentmap->gamestart());
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dc = (d != cd) ? 0xFF0000 : 0x00FF00;
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label = its(d);
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}
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case ncNone: ;
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}
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// string label = its(fieldpattern::getriverdistleft(c)) + its(fieldpattern::getriverdistright(c));
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/* queuepolyat(V, shFloor[ct6], darkena(gradient(0, distcolors[cd&7], 0, .25, 1), fd, 0xC0),
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PPR::TEXT); */
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if(label != "")
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queuestr(V, (isize(label) > 1 ? .6 : 1), label, 0xFF000000 + dc, 1);
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}
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void viewdist_configure_dialog() {
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dialog::init("");
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cmode |= sm::SIDE | sm::MAYDARK | sm::EXPANSION;
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gamescreen(0);
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dialog::addSelItem("which distance", dfnames[distance_from], 'c');
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dialog::add_action([] () { distance_from = mod_allowed() ? eDistanceFrom(2 - distance_from) : eDistanceFrom((distance_from + 1) % 3); });
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dialog::addSelItem("number codes", ncnames[number_coding], 'n');
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dialog::add_action([] () { number_coding = eNumberCoding((number_coding + 1) % (mod_allowed() ? 4 : 2)); });
|
|
|
|
dialog::addBoolItem("color codes", use_color_codes, 'u');
|
|
dialog::add_action([] () { use_color_codes = !use_color_codes; });
|
|
|
|
dialog::addBoolItem("use analyzer", use_analyzer, 'a');
|
|
dialog::add_action([] () { use_analyzer = !use_analyzer; });
|
|
|
|
dialog::addSelItem("display distances from", its(first_distance), 'd');
|
|
dialog::add_action([] () {
|
|
scrolling_distances = false;
|
|
dialog::editNumber(first_distance, 0, 3000, 0, 1, "display distances from", "");
|
|
});
|
|
|
|
int id = 0;
|
|
for(auto& lp: linepatterns::patterns) {
|
|
using namespace linepatterns;
|
|
if(among(lp.id, patTriTree, patTriRings, patTriOther)) {
|
|
dialog::addColorItem(XLAT(lp.lpname), lp.color, '1'+(id++));
|
|
dialog::add_action([&lp] () {
|
|
dialog::openColorDialog(lp.color, NULL);
|
|
dialog::dialogflags |= sm::MAYDARK | sm::SIDE | sm::EXPANSION;
|
|
});
|
|
}
|
|
}
|
|
|
|
if(!mod_allowed())
|
|
dialog::addInfo(XLAT("note: enable the cheat mode for additional options"));
|
|
else
|
|
dialog::addBreak(100);
|
|
|
|
if(distance_from)
|
|
dialog::addInfo("numbers show the descendants of current player position");
|
|
else
|
|
dialog::addBreak(100);
|
|
|
|
dialog::addBack();
|
|
dialog::display();
|
|
}
|
|
|
|
bool is_descendant(cell *c) {
|
|
if(c == cwt.at) return true;
|
|
if(curr_dist(c) < curr_dist(cwt.at)) return false;
|
|
return is_descendant(chosenDown(c, -1, 0, curr_dist));
|
|
}
|
|
|
|
const int scrollspeed = 100;
|
|
|
|
void expansion_analyzer::view_distances_dialog() {
|
|
static int lastticks;
|
|
if(scrolling_distances && !bounded) {
|
|
scrolltime += SDL_GetTicks() - lastticks;
|
|
first_distance += scrolltime / scrollspeed;
|
|
scrolltime %= scrollspeed;
|
|
}
|
|
lastticks = SDL_GetTicks();
|
|
|
|
distcolors[0] = forecolor;
|
|
dialog::init("");
|
|
cmode |= sm::DIALOG_STRICT_X | sm::EXPANSION;
|
|
|
|
int maxlen = bounded ? 128 : 16 + first_distance;
|
|
vector<bignum> qty(maxlen);
|
|
|
|
bool really_use_analyzer = use_analyzer && sizes_known();
|
|
|
|
if(really_use_analyzer) {
|
|
int t = type_in_reduced(expansion, cwt.at, curr_dist);
|
|
for(int r=0; r<maxlen; r++)
|
|
qty[r] = expansion.get_descendants(r, t);
|
|
}
|
|
else {
|
|
if(distance_from == dfPlayer) {
|
|
celllister cl(cwt.at, bounded ? maxlen-1 : gamerange(), 100000, NULL);
|
|
for(int d: cl.dists)
|
|
if(d >= 0 && d < maxlen) qty[d]++;
|
|
}
|
|
else {
|
|
celllister cl(cwt.at, bounded ? maxlen-1 : gamerange(), 100000, NULL);
|
|
for(cell *c: cl.lst) if(is_descendant(c)) qty[curr_dist(c)]++;
|
|
}
|
|
if(sizes_known()) {
|
|
find_coefficients();
|
|
if(gamerange()+1 >= valid_from && coefficients_known == 2) {
|
|
for(int i=gamerange()+1; i<maxlen; i++)
|
|
for(int j=0; j<isize(coef); j++) {
|
|
qty[i].addmul(qty[i-1-j], coef[j]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
dialog::addBreak(100 - 100 * scrolltime / scrollspeed);
|
|
|
|
for(int i=first_distance; i<maxlen; i++) if(!qty[i].digits.empty())
|
|
dialog::addInfo(its(i) + ": " + qty[i].get_str(100), distcolors[i&7]);
|
|
|
|
dialog::addBreak(100 * scrolltime / scrollspeed);
|
|
|
|
if(binarytiling){
|
|
dialog::addBreak(200);
|
|
dialog::addInfo("a(d) ~ 2ᵈ");
|
|
}
|
|
else if(sizes_known()) {
|
|
if(euclid) {
|
|
dialog::addBreak(200);
|
|
dialog::addInfo("a(d) = " + its(get_descendants(10).approx_int() - get_descendants(9).approx_int()) + "d", forecolor);
|
|
}
|
|
else {
|
|
dialog::addBreak(100);
|
|
|
|
if(coefficients_known == 2) {
|
|
string fmt = "a(d+" + its(isize(coef)) + ") = ";
|
|
bool first = true;
|
|
for(int i=0; i<isize(coef); i++) if(coef[i]) {
|
|
if(first && coef[i] == 1) ;
|
|
else if(first) fmt += its(coef[i]);
|
|
else if(coef[i] == 1) fmt += " + ";
|
|
else if(coef[i] == -1) fmt += " - ";
|
|
else if(coef[i] > 1) fmt += " + " + its(coef[i]);
|
|
else if(coef[i] < -1) fmt += " - " + its(-coef[i]);
|
|
fmt += "a(d";
|
|
if(i != isize(coef) - 1)
|
|
fmt += "+" + its(isize(coef) - 1 - i);
|
|
fmt += ")";
|
|
first = false;
|
|
}
|
|
fmt += " (d>" + its(valid_from-1) + ")";
|
|
dialog::addHelp(fmt);
|
|
}
|
|
else dialog::addBreak(100);
|
|
|
|
char buf[20];
|
|
snprintf(buf, 20, "%.8lf", (double) get_growth());
|
|
dialog::addInfo("a(d) = Θ(" + string(buf) + "...ᵈ)", forecolor);
|
|
}
|
|
}
|
|
|
|
dialog::addItem("scroll", 'S');
|
|
dialog::addItem("configure", 'C');
|
|
dialog::display();
|
|
}
|
|
|
|
void enable_viewdists() {
|
|
first_distance = 0;
|
|
scrolltime = 0;
|
|
viewdists = true;
|
|
if(!mod_allowed()) {
|
|
number_coding = ncDistance;
|
|
distance_from = dfPlayer;
|
|
}
|
|
}
|
|
|
|
bool expansion_handleKey(int sym, int uni) {
|
|
if((cmode & sm::EXPANSION) && (cmode & sm::NORMAL)) {
|
|
if(uni == 'S') scrolling_distances = !scrolling_distances;
|
|
else if(uni == 'C') pushScreen(viewdist_configure_dialog);
|
|
else if(sym == SDLK_ESCAPE) first_distance = 0, viewdists = false;
|
|
else return false;
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
int expansion_hook = addHook(hooks_handleKey, 0, expansion_handleKey);
|
|
|
|
#if !CAP_MINI
|
|
void compute_coefficients() {
|
|
printf("%s %s\n", gp::operation_name().c_str(), ginf[geometry].name);
|
|
start_game();
|
|
|
|
printf(" sizes:");
|
|
for(int i=0; i<10; i++) printf(" %d", expansion.get_descendants(i).approx_int());
|
|
|
|
printf(" N = %d\n", expansion.N);
|
|
|
|
expansion.find_coefficients();
|
|
if(expansion.coefficients_known == 2) {
|
|
printf(" coefficients:"); for(int x: expansion.coef) printf(" %d", x);
|
|
printf(" (tested on %d to %d)\n", expansion.valid_from, expansion.tested_to);
|
|
}
|
|
}
|
|
|
|
int readArgs() {
|
|
using namespace arg;
|
|
|
|
if(0) ;
|
|
else if(argis("-vap")) {
|
|
PHASEFROM(2);
|
|
start_game();
|
|
while(true) {
|
|
string s = expansion.approximate_descendants(10000, 100);
|
|
printf("s = %s\n", s.c_str());
|
|
if(isize(expansion.descendants) >= 10000) break;
|
|
}
|
|
}
|
|
else if(argis("-csizes")) {
|
|
PHASEFROM(2);
|
|
start_game();
|
|
expansion.get_growth();
|
|
for(int i=0; i<30; i++)
|
|
printf("%s / %s\n", expansion.get_descendants(i).get_str(1000).c_str(), expansion.get_descendants(i, expansion.diskid).get_str(1000).c_str());
|
|
}
|
|
else if(argis("-csolve")) {
|
|
PHASEFROM(2);
|
|
start_game();
|
|
printf("preliminary_grouping...\n");
|
|
expansion.preliminary_grouping();
|
|
printf("N = %d\n", expansion.N);
|
|
printf("reduce_grouping...\n");
|
|
expansion.reduce_grouping();
|
|
printf("N = %d\n", expansion.N);
|
|
printf("growth = %lf\n", (double) expansion.get_growth());
|
|
expansion.find_coefficients();
|
|
if(expansion.coefficients_known == 2) {
|
|
printf("coefficients:"); for(int x: expansion.coef) printf(" %d", x);
|
|
printf(", valid from %d to %d\n", expansion.valid_from, expansion.tested_to);
|
|
}
|
|
}
|
|
else if(argis("-csolve_tab")) {
|
|
for(eGeometry geo: {gNormal, gOctagon, g45, g46, g47}) {
|
|
set_geometry(geo);
|
|
set_variation(eVariation::pure);
|
|
compute_coefficients();
|
|
set_variation(eVariation::bitruncated);
|
|
compute_coefficients();
|
|
for(int x=1; x<9; x++)
|
|
for(int y=0; y<=x; y++) {
|
|
if(x == 1 && y == 0) continue;
|
|
if(x == 1 && y == 1 && S3 == 3) continue;
|
|
if(x+y > 10) continue;
|
|
stop_game();
|
|
gp::param = gp::loc(x, y);
|
|
need_reset_geometry = true;
|
|
set_variation(eVariation::goldberg);
|
|
compute_coefficients();
|
|
}
|
|
}
|
|
}
|
|
else return 1;
|
|
return 0;
|
|
}
|
|
|
|
auto ea_hook = addHook(hooks_args, 100, readArgs);
|
|
#endif
|
|
|
|
expansion_analyzer expansion;
|
|
|
|
} |