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436 lines
12 KiB
C++
436 lines
12 KiB
C++
#include "wave_form_collapse.h"
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const int WaveFormCollapse::DIRECTIONS_X[4] = { 0, -1, 1, 0 };
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const int WaveFormCollapse::DIRECTIONS_Y[4] = { -1, 0, 0, 1 };
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// Normalize a vector so the sum of its elements is equal to 1.0f
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void WaveFormCollapse::normalize(Vector<double> &v) {
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double sum_weights = 0.0;
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int size = v.size();
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const double *vpr = v.ptr();
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for (int i = 0; i < size; ++i) {
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sum_weights += vpr[i];
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}
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double *vpw = v.ptrw();
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double inv_sum_weights = 1.0 / sum_weights;
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for (int i = 0; i < size; ++i) {
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vpw[i] *= inv_sum_weights;
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}
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}
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// Return distribution * log(distribution).
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Vector<double> WaveFormCollapse::get_plogp(const Vector<double> &distribution) {
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Vector<double> plogp;
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for (int i = 0; i < distribution.size(); i++) {
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plogp.push_back(distribution[i] * log(distribution[i]));
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}
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return plogp;
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}
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// Return min(v) / 2.
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double WaveFormCollapse::get_min_abs_half(const Vector<double> &v) {
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double min_abs_half = Math_INF;
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for (int i = 0; i < v.size(); i++) {
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min_abs_half = MIN(min_abs_half, ABS(v[i] / 2.0));
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}
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return min_abs_half;
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}
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int WaveFormCollapse::get_wave_width() const {
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return _wave_width;
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}
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void WaveFormCollapse::set_wave_width(const int val) {
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_wave_width = val;
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}
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int WaveFormCollapse::get_wave_height() const {
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return _wave_height;
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}
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void WaveFormCollapse::set_wave_height(const int val) {
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_wave_height = val;
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}
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bool WaveFormCollapse::get_periodic_output() const {
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return _periodic_output;
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}
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void WaveFormCollapse::set_periodic_output(const bool val) {
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_periodic_output = val;
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}
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void WaveFormCollapse::set_seed(const int seed) {
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_gen.seed(seed);
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}
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void WaveFormCollapse::set_wave_size(int p_width, int p_height) {
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_wave_width = p_width;
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_wave_height = p_height;
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_wave_size = p_height * p_width;
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}
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void WaveFormCollapse::init_wave() {
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_wave_size = _wave_height * _wave_width;
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}
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void WaveFormCollapse::set_propagator_state(const Vector<PropagatorStateEntry> &p_propagator_state) {
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_propagator_state = p_propagator_state;
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}
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void WaveFormCollapse::set_pattern_frequencies(const Vector<double> &p_patterns_frequencies, const bool p_normalize) {
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_patterns_frequencies = p_patterns_frequencies;
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if (p_normalize) {
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normalize(_patterns_frequencies);
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}
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}
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void WaveFormCollapse::set_input(const PoolIntArray &p_data, int p_width, int p_height) {
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_input.resize(p_height, p_width);
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ERR_FAIL_COND(_input.data.size() != p_data.size());
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int *w = _input.data.ptrw();
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int s = _input.data.size();
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PoolIntArray::Read r = p_data.read();
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for (int i = 0; i < s; ++i) {
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w[i] = r[i];
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}
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}
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Array2D<int> WaveFormCollapse::run() {
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while (true) {
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// Define the value of an undefined cell.
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ObserveStatus result = observe();
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// Check if the algorithm has terminated.
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if (result == OBSERVE_STATUS_FAILURE) {
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return Array2D<int>(0, 0);
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} else if (result == OBSERVE_STATUS_SUCCESS) {
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return wave_to_output();
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}
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propagate();
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}
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}
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PoolIntArray WaveFormCollapse::generate_image_index_data() {
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PoolIntArray arr;
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Array2D<int> a = run();
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if (a.width == 0 && a.height == 0) {
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return arr;
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}
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const int *r = a.data.ptr();
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int s = a.data.size();
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arr.resize(s);
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PoolIntArray::Write w = arr.write();
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for (int i = 0; i < s; ++i) {
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w[i] = r[i];
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}
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w.release();
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return arr;
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}
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WaveFormCollapse::ObserveStatus WaveFormCollapse::observe() {
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// Get the cell with lowest entropy.
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int argmin = wave_get_min_entropy();
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// If there is a contradiction, the algorithm has failed.
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if (argmin == -2) {
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return OBSERVE_STATUS_FAILURE;
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}
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// If the lowest entropy is 0, then the algorithm has succeeded and finished.
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if (argmin == -1) {
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wave_to_output();
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return OBSERVE_STATUS_SUCCESS;
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}
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// Choose an element according to the pattern distribution
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double s = 0;
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for (int k = 0; k < _patterns_frequencies.size(); k++) {
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s += wave_get(argmin, k) ? _patterns_frequencies[k] : 0;
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}
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double random_value = _gen.random(0.0, s);
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int chosen_value = _patterns_frequencies.size() - 1;
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for (int k = 0; k < _patterns_frequencies.size(); k++) {
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random_value -= wave_get(argmin, k) ? _patterns_frequencies[k] : 0;
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if (random_value <= 0) {
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chosen_value = k;
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break;
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}
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}
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// And define the cell with the pattern.
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for (int k = 0; k < _patterns_frequencies.size(); k++) {
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if (wave_get(argmin, k) != (k == chosen_value)) {
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add_to_propagator(argmin / _wave_width, argmin % _wave_width, k);
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wave_set(argmin, k, false);
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}
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}
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return OBSERVE_STATUS_TO_CONTINUE;
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}
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Array2D<int> WaveFormCollapse::wave_to_output() const {
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Array2D<int> output_patterns(_wave_height, _wave_width);
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for (int i = 0; i < _wave_size; i++) {
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for (int k = 0; k < _patterns_frequencies.size(); k++) {
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if (wave_get(i, k)) {
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output_patterns.data.write[i] = k;
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}
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}
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}
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return output_patterns;
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}
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void WaveFormCollapse::wave_set(int index, int pattern, bool value) {
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bool old_value = _wave_data.get(index, pattern);
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// If the value isn't changed, nothing needs to be done.
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if (old_value == value) {
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return;
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}
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// Otherwise, the memoisation should be updated.
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_wave_data.get(index, pattern) = value;
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_memoisation_plogp_sum.write[index] -= _plogp_patterns_frequencies[pattern];
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_memoisation_sum.write[index] -= _patterns_frequencies[pattern];
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_memoisation_log_sum.write[index] = Math::log(_memoisation_sum[index]);
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_memoisation_nb_patterns.write[index]--;
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_memoisation_entropy.write[index] = _memoisation_log_sum[index] - _memoisation_plogp_sum[index] / _memoisation_sum[index];
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// If there is no patterns possible in the cell, then there is a contradiction.
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if (_memoisation_nb_patterns[index] == 0) {
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_is_impossible = true;
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}
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}
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int WaveFormCollapse::wave_get_min_entropy() const {
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if (_is_impossible) {
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return -2;
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}
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RandomPCG pcg;
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// The minimum entropy (plus a small noise)
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double min = Math_INF;
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int argmin = -1;
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for (int i = 0; i < _wave_size; i++) {
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// If the cell is decided, we do not compute the entropy (which is equal to 0).
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int nb_patterns_local = _memoisation_nb_patterns[i];
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if (nb_patterns_local == 1) {
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continue;
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}
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// Otherwise, we take the memoised entropy.
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double entropy = _memoisation_entropy[i];
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// We first check if the entropy is less than the minimum.
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// This is important to reduce noise computation (which is not
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// negligible).
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if (entropy <= min) {
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// Then, we add noise to decide randomly which will be chosen.
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// noise is smaller than the smallest p * log(p), so the minimum entropy
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// will always be chosen.
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double noise = pcg.random(0.0, _min_abs_half_plogp);
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if (entropy + noise < min) {
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min = entropy + noise;
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argmin = i;
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}
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}
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}
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return argmin;
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}
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void WaveFormCollapse::init_compatible() {
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// We compute the number of pattern compatible in all directions.
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for (int y = 0; y < _wave_height; y++) {
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for (int x = 0; x < _wave_width; x++) {
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for (int pattern = 0; pattern < _propagator_state.size(); pattern++) {
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CompatibilityEntry &value = _compatible.get(y, x, pattern);
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for (int direction = 0; direction < 4; direction++) {
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value.direction[direction] = _propagator_state[pattern].directions[get_opposite_direction(direction)].size();
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}
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}
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}
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}
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}
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void WaveFormCollapse::propagate() {
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// We propagate every element while there is element to propagate.
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while (_propagating.size() != 0) {
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// The cell and pattern that has been set to false.
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const PropagatingEntry &e = _propagating[_propagating.size() - 1];
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int y1 = e.data[0];
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int x1 = e.data[1];
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int pattern = e.data[2];
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_propagating.resize(_propagating.size() - 1);
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// We propagate the information in all 4 directions.
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for (int direction = 0; direction < 4; direction++) {
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// We get the next cell in the direction direction.
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int dx = DIRECTIONS_X[direction];
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int dy = DIRECTIONS_Y[direction];
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int x2, y2;
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if (_periodic_output) {
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x2 = ((int)x1 + dx + _wave_width) % _wave_width;
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y2 = ((int)y1 + dy + _wave_height) % _wave_height;
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} else {
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x2 = x1 + dx;
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y2 = y1 + dy;
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if (x2 < 0 || x2 >= _wave_width) {
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continue;
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}
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if (y2 < 0 || y2 >= _wave_height) {
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continue;
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}
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}
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// The index of the second cell, and the patterns compatible
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int i2 = x2 + y2 * _wave_width;
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const Vector<int> &patterns = _propagator_state[pattern].directions[direction];
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// For every pattern that could be placed in that cell without being in
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// contradiction with pattern1
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int size = patterns.size();
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for (int i = 0; i < size; ++i) {
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int pattern_entry = patterns[i];
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// We decrease the number of compatible patterns in the opposite
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// direction If the pattern was discarded from the wave, the element
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// is still negative, which is not a problem
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CompatibilityEntry &value = _compatible.get(y2, x2, pattern_entry);
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value.direction[direction]--;
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// If the element was set to 0 with this operation, we need to remove
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// the pattern from the wave, and propagate the information
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if (value.direction[direction] == 0) {
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add_to_propagator(y2, x2, pattern_entry);
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wave_set(i2, pattern_entry, false);
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}
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}
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}
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}
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}
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void WaveFormCollapse::initialize() {
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//wave
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init_wave();
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_plogp_patterns_frequencies = get_plogp(_patterns_frequencies);
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_min_abs_half_plogp = get_min_abs_half(_plogp_patterns_frequencies);
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_is_impossible = false;
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_nb_patterns = _patterns_frequencies.size();
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_wave_data.resize_fill(_wave_size, _nb_patterns, true);
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// Initialize the memoisation of entropy.
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double base_entropy = 0;
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double base_s = 0;
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for (int i = 0; i < _patterns_frequencies.size(); i++) {
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base_entropy += _plogp_patterns_frequencies[i];
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base_s += _patterns_frequencies[i];
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}
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double log_base_s = Math::log(base_s);
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double entropy_base = log_base_s - base_entropy / base_s;
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_memoisation_plogp_sum.resize(_wave_size);
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_memoisation_plogp_sum.fill(base_entropy);
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_memoisation_sum.resize(_wave_size);
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_memoisation_sum.fill(base_s);
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_memoisation_log_sum.resize(_wave_size);
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_memoisation_log_sum.fill(log_base_s);
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_memoisation_nb_patterns.resize(_wave_size);
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_memoisation_nb_patterns.fill(_patterns_frequencies.size());
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_memoisation_entropy.resize(_wave_size);
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_memoisation_entropy.fill(entropy_base);
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//propagator
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_compatible.resize(_wave_height, _wave_width, _propagator_state.size());
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init_compatible();
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}
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WaveFormCollapse::WaveFormCollapse() {
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_periodic_output = true;
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_is_impossible = false;
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_nb_patterns = 0;
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_wave_width = 0;
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_wave_height = 0;
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_wave_size = 0;
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_min_abs_half_plogp = 0;
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}
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WaveFormCollapse::~WaveFormCollapse() {
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}
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void WaveFormCollapse::_bind_methods() {
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ClassDB::bind_method(D_METHOD("get_wave_width"), &WaveFormCollapse::get_wave_width);
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ClassDB::bind_method(D_METHOD("set_wave_width", "value"), &WaveFormCollapse::set_wave_width);
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ADD_PROPERTY(PropertyInfo(Variant::INT, "wave_width"), "set_wave_width", "get_wave_width");
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ClassDB::bind_method(D_METHOD("get_wave_height"), &WaveFormCollapse::get_wave_height);
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ClassDB::bind_method(D_METHOD("set_wave_height", "value"), &WaveFormCollapse::set_wave_height);
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ADD_PROPERTY(PropertyInfo(Variant::INT, "wave_height"), "set_wave_height", "get_wave_height");
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ClassDB::bind_method(D_METHOD("get_periodic_output"), &WaveFormCollapse::get_periodic_output);
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ClassDB::bind_method(D_METHOD("set_periodic_output", "value"), &WaveFormCollapse::set_periodic_output);
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ADD_PROPERTY(PropertyInfo(Variant::BOOL, "periodic_output"), "set_periodic_output", "get_periodic_output");
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ClassDB::bind_method(D_METHOD("set_seed", "seed"), &WaveFormCollapse::set_seed);
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//ClassDB::bind_method(D_METHOD("set_wave_size", "width", "height"), &WaveFormCollapse::set_wave_size);
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ClassDB::bind_method(D_METHOD("propagate"), &WaveFormCollapse::propagate);
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ClassDB::bind_method(D_METHOD("initialize"), &WaveFormCollapse::initialize);
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ClassDB::bind_method(D_METHOD("set_input", "data", "width", "height"), &WaveFormCollapse::set_input);
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ClassDB::bind_method(D_METHOD("generate_image_index_data"), &WaveFormCollapse::generate_image_index_data);
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BIND_ENUM_CONSTANT(SYMMETRY_X);
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BIND_ENUM_CONSTANT(SYMMETRY_T);
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BIND_ENUM_CONSTANT(SYMMETRY_I);
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BIND_ENUM_CONSTANT(SYMMETRY_L);
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BIND_ENUM_CONSTANT(SYMMETRY_BACKSLASH);
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BIND_ENUM_CONSTANT(SYMMETRY_P);
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}
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