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Proper initial MLPPMatrix implementation.
This commit is contained in:
parent
20fdcd4acb
commit
e32cae7330
@ -2,33 +2,32 @@
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#include "mlpp_matrix.h"
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void MLPPMatrix::_bind_methods() {
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ClassDB::bind_method(D_METHOD("push_back", "elem"), &MLPPMatrix::push_back);
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ClassDB::bind_method(D_METHOD("remove", "index"), &MLPPMatrix::remove);
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ClassDB::bind_method(D_METHOD("add_row", "row"), &MLPPMatrix::add_row_pool_vector);
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ClassDB::bind_method(D_METHOD("remove_row", "index"), &MLPPMatrix::remove_row);
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ClassDB::bind_method(D_METHOD("remove_unordered", "index"), &MLPPMatrix::remove_unordered);
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ClassDB::bind_method(D_METHOD("erase", "val"), &MLPPMatrix::erase);
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ClassDB::bind_method(D_METHOD("erase_multiple_unordered", "val"), &MLPPMatrix::erase_multiple_unordered);
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ClassDB::bind_method(D_METHOD("invert"), &MLPPMatrix::invert);
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ClassDB::bind_method(D_METHOD("swap_row", "index_1", "index_2"), &MLPPMatrix::swap_row);
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ClassDB::bind_method(D_METHOD("clear"), &MLPPMatrix::clear);
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ClassDB::bind_method(D_METHOD("reset"), &MLPPMatrix::reset);
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ClassDB::bind_method(D_METHOD("empty"), &MLPPMatrix::empty);
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ClassDB::bind_method(D_METHOD("data_size"), &MLPPMatrix::data_size);
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ClassDB::bind_method(D_METHOD("resize_data", "size"), &MLPPMatrix::resize_data);
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ClassDB::bind_method(D_METHOD("size"), &MLPPMatrix::size);
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ClassDB::bind_method(D_METHOD("get_element", "index"), &MLPPMatrix::get_element_bind);
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ClassDB::bind_method(D_METHOD("set_element", "index", "val"), &MLPPMatrix::set_element_bind);
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ClassDB::bind_method(D_METHOD("resize", "size"), &MLPPMatrix::resize);
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ClassDB::bind_method(D_METHOD("get_element", "index_x", "index_y"), &MLPPMatrix::get_element_bind);
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ClassDB::bind_method(D_METHOD("set_element", "index_x", "index_y", "val"), &MLPPMatrix::set_element_bind);
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ClassDB::bind_method(D_METHOD("set_row_pool_vector", "index_y", "row"), &MLPPMatrix::set_row_pool_vector);
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ClassDB::bind_method(D_METHOD("fill", "val"), &MLPPMatrix::fill);
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ClassDB::bind_method(D_METHOD("insert", "pos", "val"), &MLPPMatrix::insert);
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ClassDB::bind_method(D_METHOD("find", "val", "from"), &MLPPMatrix::find, 0);
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ClassDB::bind_method(D_METHOD("sort"), &MLPPMatrix::sort);
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ClassDB::bind_method(D_METHOD("ordered_insert", "val"), &MLPPMatrix::ordered_insert);
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ClassDB::bind_method(D_METHOD("to_pool_vector"), &MLPPMatrix::to_pool_vector);
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ClassDB::bind_method(D_METHOD("to_byte_array"), &MLPPMatrix::to_byte_array);
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ClassDB::bind_method(D_METHOD("to_flat_pool_vector"), &MLPPMatrix::to_flat_pool_vector);
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ClassDB::bind_method(D_METHOD("to_flat_byte_array"), &MLPPMatrix::to_flat_byte_array);
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ClassDB::bind_method(D_METHOD("duplicate"), &MLPPMatrix::duplicate);
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ClassDB::bind_method(D_METHOD("set_from_mlpp_vector", "from"), &MLPPMatrix::set_from_mlpp_vector);
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ClassDB::bind_method(D_METHOD("set_from_pool_vector", "from"), &MLPPMatrix::set_from_pool_vector);
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ClassDB::bind_method(D_METHOD("set_from_mlpp_vectors_array", "from"), &MLPPMatrix::set_from_mlpp_vectors_array);
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ClassDB::bind_method(D_METHOD("set_from_arrays", "from"), &MLPPMatrix::set_from_arrays);
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}
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@ -5,13 +5,16 @@
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#include "core/containers/sort_array.h"
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#include "core/containers/vector.h"
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#include "core/error/error_macros.h"
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#include "core/os/memory.h"
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#include "core/math/vector2i.h"
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#include "core/os/memory.h"
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#include "core/object/reference.h"
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#include "mlpp_vector.h"
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// Matrices are stored as rows first
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// [x][y]
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class MLPPMatrix : public Reference {
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GDCLASS(MLPPMatrix, Reference);
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@ -24,186 +27,215 @@ public:
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return _data;
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}
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_FORCE_INLINE_ void push_back(double p_elem) {
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++_data_size;
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_data = (double *)memrealloc(_data, _data_size * sizeof(double));
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CRASH_COND_MSG(!_data, "Out of memory");
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_data[_data_size - 1] = p_elem;
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}
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void remove(double p_index) {
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ERR_FAIL_INDEX(p_index, _data_size);
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--_data_size;
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for (int i = p_index; i < _data_size; i++) {
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_data[i] = _data[i + 1];
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_FORCE_INLINE_ void add_row(const Vector<double> &p_row) {
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if (_size.x == 0) {
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_size.x = p_row.size();
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}
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_data = (double *)memrealloc(_data, _data_size * sizeof(double));
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ERR_FAIL_COND(_size.x != p_row.size());
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int ci = data_size();
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++_size.y;
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_data = (double *)memrealloc(_data, data_size() * sizeof(double));
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CRASH_COND_MSG(!_data, "Out of memory");
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const double *row_arr = p_row.ptr();
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for (int i = 0; i < p_row.size(); ++i) {
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_data[ci + i] = row_arr[i];
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}
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}
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_FORCE_INLINE_ void add_row_pool_vector(const PoolRealArray &p_row) {
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if (_size.x == 0) {
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_size.x = p_row.size();
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}
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ERR_FAIL_COND(_size.x != p_row.size());
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int ci = data_size();
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++_size.y;
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_data = (double *)memrealloc(_data, data_size() * sizeof(double));
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CRASH_COND_MSG(!_data, "Out of memory");
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PoolRealArray::Read rread = p_row.read();
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const real_t *row_arr = rread.ptr();
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for (int i = 0; i < p_row.size(); ++i) {
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_data[ci + i] = row_arr[i];
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}
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}
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void remove_row(double p_index) {
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ERR_FAIL_INDEX(p_index, _size.y);
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--_size.y;
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int ds = data_size();
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if (ds == 0) {
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memfree(_data);
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_data = NULL;
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return;
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}
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for (int i = p_index * _size.x; i < ds; ++i) {
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_data[i] = _data[i + _size.x];
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}
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_data = (double *)memrealloc(_data, data_size() * sizeof(double));
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CRASH_COND_MSG(!_data, "Out of memory");
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}
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// Removes the item copying the last value into the position of the one to
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// remove. It's generally faster than `remove`.
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void remove_unordered(int p_index) {
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ERR_FAIL_INDEX(p_index, _data_size);
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_data_size--;
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ERR_FAIL_INDEX(p_index, _size.y);
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if (_data_size > p_index) {
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_data[p_index] = _data[_data_size];
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--_size.y;
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int ds = data_size();
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if (ds == 0) {
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memfree(_data);
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_data = NULL;
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return;
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}
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_data = (double *)memrealloc(_data, _data_size * sizeof(double));
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int start_ind = p_index * _size.x;
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int end_ind = (p_index + 1) * _size.x;
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for (int i = start_ind; i < end_ind; ++i) {
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_data[i] = _data[ds + i];
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}
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_data = (double *)memrealloc(_data, data_size() * sizeof(double));
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CRASH_COND_MSG(!_data, "Out of memory");
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}
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void erase(const double &p_val) {
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int idx = find(p_val);
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if (idx >= 0) {
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remove(idx);
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void swap_row(int p_index_1, int p_index_2) {
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ERR_FAIL_INDEX(p_index_1, _size.y);
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ERR_FAIL_INDEX(p_index_2, _size.y);
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int ind1_start = p_index_1 * _size.x;
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int ind2_start = p_index_2 * _size.x;
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for (int i = 0; i < _size.x; ++i) {
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SWAP(_data[ind1_start + i], _data[ind2_start + i]);
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}
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}
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int erase_multiple_unordered(const double &p_val) {
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int from = 0;
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int count = 0;
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while (true) {
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int64_t idx = find(p_val, from);
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if (idx == -1) {
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break;
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}
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remove_unordered(idx);
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from = idx;
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count++;
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}
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return count;
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}
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void invert() {
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for (int i = 0; i < _data_size / 2; i++) {
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SWAP(_data[i], _data[_data_size - i - 1]);
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}
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}
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_FORCE_INLINE_ void clear() { resize_data(0); }
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_FORCE_INLINE_ void clear() { resize(Size2i()); }
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_FORCE_INLINE_ void reset() {
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clear();
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if (_data) {
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memfree(_data);
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_data = NULL;
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_data_size = 0;
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_size = Vector2i();
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}
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}
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_FORCE_INLINE_ bool empty() const { return _data_size == 0; }
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_FORCE_INLINE_ int data_size() const { return _data_size; }
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_FORCE_INLINE_ bool empty() const { return data_size() == 0; }
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_FORCE_INLINE_ int data_size() const { return _size.x * _size.y; }
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_FORCE_INLINE_ Size2i size() const { return _size; }
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void resize_data(int p_size) {
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_data_size = p_size;
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void resize(const Size2i &p_size) {
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_size = p_size;
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_data = (double *)memrealloc(_data, _data_size * sizeof(double));
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_data = (double *)memrealloc(_data, data_size() * sizeof(double));
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CRASH_COND_MSG(!_data, "Out of memory");
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}
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_FORCE_INLINE_ const double &operator[](int p_index) const {
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CRASH_BAD_UNSIGNED_INDEX(p_index, _data_size);
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CRASH_BAD_INDEX(p_index, data_size());
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return _data[p_index];
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}
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_FORCE_INLINE_ double &operator[](int p_index) {
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CRASH_BAD_UNSIGNED_INDEX(p_index, _data_size);
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CRASH_BAD_INDEX(p_index, data_size());
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return _data[p_index];
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}
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_FORCE_INLINE_ double get_element(int p_index) const {
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CRASH_BAD_UNSIGNED_INDEX(p_index, _data_size);
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return _data[p_index];
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_FORCE_INLINE_ double get_element(int p_index_x, int p_index_y) const {
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ERR_FAIL_INDEX_V(p_index_x, _size.x, 0);
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ERR_FAIL_INDEX_V(p_index_y, _size.y, 0);
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return _data[p_index_x * p_index_y];
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}
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_FORCE_INLINE_ double get_element(int p_index) {
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CRASH_BAD_UNSIGNED_INDEX(p_index, _data_size);
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return _data[p_index];
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_FORCE_INLINE_ double get_element(int p_index_x, int p_index_y) {
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ERR_FAIL_INDEX_V(p_index_x, _size.x, 0);
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ERR_FAIL_INDEX_V(p_index_y, _size.y, 0);
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return _data[p_index_x * p_index_y];
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}
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_FORCE_INLINE_ real_t get_element_bind(int p_index) const {
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CRASH_BAD_UNSIGNED_INDEX(p_index, _data_size);
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return static_cast<real_t>(_data[p_index]);
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_FORCE_INLINE_ real_t get_element_bind(int p_index_x, int p_index_y) const {
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ERR_FAIL_INDEX_V(p_index_x, _size.x, 0);
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ERR_FAIL_INDEX_V(p_index_y, _size.y, 0);
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return static_cast<real_t>(_data[p_index_x * p_index_y]);
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}
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_FORCE_INLINE_ void set_element(int p_index, double p_val) {
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CRASH_BAD_UNSIGNED_INDEX(p_index, _data_size);
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_data[p_index] = p_val;
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_FORCE_INLINE_ void set_element(int p_index_x, int p_index_y, double p_val) {
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ERR_FAIL_INDEX(p_index_x, _size.x);
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ERR_FAIL_INDEX(p_index_y, _size.y);
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_data[p_index_x * p_index_y] = p_val;
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}
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_FORCE_INLINE_ void set_element_bind(int p_index, real_t p_val) {
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CRASH_BAD_UNSIGNED_INDEX(p_index, _data_size);
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_data[p_index] = p_val;
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_FORCE_INLINE_ void set_element_bind(int p_index_x, int p_index_y, real_t p_val) {
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ERR_FAIL_INDEX(p_index_x, _size.x);
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ERR_FAIL_INDEX(p_index_y, _size.y);
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_data[p_index_x * p_index_y] = p_val;
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}
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_FORCE_INLINE_ void set_row_vector(int p_index_y, const Vector<double> &p_row) {
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ERR_FAIL_COND(p_row.size() != _size.x);
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ERR_FAIL_INDEX(p_index_y, _size.y);
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int ind_start = p_index_y * _size.x;
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const double *row_ptr = p_row.ptr();
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for (int i = 0; i < _size.x; ++i) {
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_data[ind_start + i] = row_ptr[i];
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}
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}
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_FORCE_INLINE_ void set_row_pool_vector(int p_index_y, const PoolRealArray &p_row) {
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ERR_FAIL_COND(p_row.size() != _size.x);
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ERR_FAIL_INDEX(p_index_y, _size.y);
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int ind_start = p_index_y * _size.x;
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PoolRealArray::Read r = p_row.read();
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const real_t *row_ptr = r.ptr();
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for (int i = 0; i < _size.x; ++i) {
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_data[ind_start + i] = row_ptr[i];
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}
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}
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void fill(double p_val) {
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for (int i = 0; i < _data_size; i++) {
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int ds = data_size();
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for (int i = 0; i < ds; i++) {
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_data[i] = p_val;
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}
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}
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void insert(int p_pos, double p_val) {
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ERR_FAIL_INDEX(p_pos, _data_size + 1);
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if (p_pos == _data_size) {
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push_back(p_val);
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} else {
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resize_data(_data_size + 1);
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for (int i = _data_size - 1; i > p_pos; i--) {
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_data[i] = _data[i - 1];
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}
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_data[p_pos] = p_val;
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}
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}
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int find(const double &p_val, int p_from = 0) const {
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for (int i = p_from; i < _data_size; i++) {
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if (_data[i] == p_val) {
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return i;
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}
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}
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return -1;
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}
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template <class C>
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void sort_custom() {
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int len = _data_size;
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if (len == 0) {
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return;
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}
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SortArray<double, C> sorter;
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sorter.sort(_data, len);
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}
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void sort() {
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sort_custom<_DefaultComparator<double>>();
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}
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void ordered_insert(double p_val) {
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int i;
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for (i = 0; i < _data_size; i++) {
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if (p_val < _data[i]) {
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break;
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}
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}
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insert(i, p_val);
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}
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Vector<double> to_vector() const {
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Vector<double> to_flat_vector() const {
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Vector<double> ret;
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ret.resize(data_size());
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double *w = ret.ptrw();
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memcpy(w, _data, sizeof(double) * _data_size);
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memcpy(w, _data, sizeof(double) * data_size());
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return ret;
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}
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PoolRealArray to_pool_vector() const {
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PoolRealArray to_flat_pool_vector() const {
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PoolRealArray pl;
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if (data_size()) {
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pl.resize(data_size());
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@ -217,11 +249,11 @@ public:
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return pl;
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}
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Vector<uint8_t> to_byte_array() const {
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Vector<uint8_t> to_flat_byte_array() const {
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Vector<uint8_t> ret;
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ret.resize(_data_size * sizeof(double));
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ret.resize(data_size() * sizeof(double));
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uint8_t *w = ret.ptrw();
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memcpy(w, _data, sizeof(double) * _data_size);
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memcpy(w, _data, sizeof(double) * data_size());
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return ret;
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}
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@ -235,77 +267,159 @@ public:
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}
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_FORCE_INLINE_ void set_from_mlpp_matrixr(const MLPPMatrix &p_from) {
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resize_data(p_from.data_size());
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for (int i = 0; i < p_from._data_size; i++) {
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resize(p_from.size());
|
||||
for (int i = 0; i < p_from.data_size(); i++) {
|
||||
_data[i] = p_from._data[i];
|
||||
}
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ void set_from_mlpp_vectorr(const MLPPVector &p_from) {
|
||||
resize_data(p_from.size());
|
||||
const double *from_ptr = p_from.ptr();
|
||||
for (int i = 0; i < p_from.size(); i++) {
|
||||
_data[i] = from_ptr[i];
|
||||
_FORCE_INLINE_ void set_from_mlpp_vectors(const Vector<Ref<MLPPVector>> &p_from) {
|
||||
if (p_from.size() == 0) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
if (!p_from[0].is_valid()) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
resize(Size2i(p_from[0]->size(), p_from.size()));
|
||||
|
||||
if (data_size() == 0) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
for (int i = 0; i < p_from.size(); ++i) {
|
||||
const Ref<MLPPVector> &r = p_from[i];
|
||||
|
||||
ERR_CONTINUE(!r.is_valid());
|
||||
ERR_CONTINUE(r->size() != _size.x);
|
||||
|
||||
int start_index = i * _size.x;
|
||||
|
||||
const double *from_ptr = r->ptr();
|
||||
for (int j = 0; j < _size.x; j++) {
|
||||
_data[start_index + j] = from_ptr[j];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ void set_from_mlpp_vector(const Ref<MLPPVector> &p_from) {
|
||||
ERR_FAIL_COND(!p_from.is_valid());
|
||||
resize_data(p_from->size());
|
||||
const double *from_ptr = p_from->ptr();
|
||||
for (int i = 0; i < p_from->size(); i++) {
|
||||
_data[i] = from_ptr[i];
|
||||
_FORCE_INLINE_ void set_from_mlpp_vectors_array(const Array &p_from) {
|
||||
if (p_from.size() == 0) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
Ref<MLPPVector> v0 = p_from[0];
|
||||
|
||||
if (!v0.is_valid()) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
resize(Size2i(v0->size(), p_from.size()));
|
||||
|
||||
if (data_size() == 0) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
for (int i = 0; i < p_from.size(); ++i) {
|
||||
Ref<MLPPVector> r = p_from[i];
|
||||
|
||||
ERR_CONTINUE(!r.is_valid());
|
||||
ERR_CONTINUE(r->size() != _size.x);
|
||||
|
||||
int start_index = i * _size.x;
|
||||
|
||||
const double *from_ptr = r->ptr();
|
||||
for (int j = 0; j < _size.x; j++) {
|
||||
_data[start_index + j] = from_ptr[j];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ void set_from_vector(const Vector<double> &p_from) {
|
||||
resize_data(p_from.size());
|
||||
for (int i = 0; i < _data_size; i++) {
|
||||
_data[i] = p_from[i];
|
||||
_FORCE_INLINE_ void set_from_vectors(const Vector<Vector<double>> &p_from) {
|
||||
if (p_from.size() == 0) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
resize(Size2i(p_from[0].size(), p_from.size()));
|
||||
|
||||
if (data_size() == 0) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
for (int i = 0; i < p_from.size(); ++i) {
|
||||
const Vector<double> &r = p_from[i];
|
||||
|
||||
ERR_CONTINUE(r.size() != _size.x);
|
||||
|
||||
int start_index = i * _size.x;
|
||||
|
||||
const double *from_ptr = r.ptr();
|
||||
for (int j = 0; j < _size.x; j++) {
|
||||
_data[start_index + j] = from_ptr[j];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ void set_from_pool_vector(const PoolRealArray &p_from) {
|
||||
resize_data(p_from.size());
|
||||
typename PoolRealArray::Read r = p_from.read();
|
||||
for (int i = 0; i < _data_size; i++) {
|
||||
_data[i] = r[i];
|
||||
_FORCE_INLINE_ void set_from_arrays(const Array &p_from) {
|
||||
if (p_from.size() == 0) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
PoolRealArray p0arr = p_from[0];
|
||||
|
||||
resize(Size2i(p0arr.size(), p_from.size()));
|
||||
|
||||
if (data_size() == 0) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
for (int i = 0; i < p_from.size(); ++i) {
|
||||
PoolRealArray r = p_from[i];
|
||||
|
||||
ERR_CONTINUE(r.size() != _size.x);
|
||||
|
||||
int start_index = i * _size.x;
|
||||
|
||||
PoolRealArray::Read read = r.read();
|
||||
const real_t *from_ptr = read.ptr();
|
||||
for (int j = 0; j < _size.x; j++) {
|
||||
_data[start_index + j] = from_ptr[j];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ MLPPMatrix() {
|
||||
_data_size = 0;
|
||||
_data = NULL;
|
||||
}
|
||||
_FORCE_INLINE_ MLPPMatrix(const MLPPMatrix &p_from) {
|
||||
_data_size = 0;
|
||||
_data = NULL;
|
||||
|
||||
resize_data(p_from.data_size());
|
||||
for (int i = 0; i < p_from._data_size; i++) {
|
||||
resize(p_from.size());
|
||||
for (int i = 0; i < p_from.data_size(); ++i) {
|
||||
_data[i] = p_from._data[i];
|
||||
}
|
||||
}
|
||||
|
||||
MLPPMatrix(const Vector<double> &p_from) {
|
||||
_data_size = 0;
|
||||
MLPPMatrix(const Vector<Vector<double>> &p_from) {
|
||||
_data = NULL;
|
||||
|
||||
resize_data(p_from.size());
|
||||
for (int i = 0; i < _data_size; i++) {
|
||||
_data[i] = p_from[i];
|
||||
}
|
||||
set_from_vectors(p_from);
|
||||
}
|
||||
|
||||
MLPPMatrix(const PoolRealArray &p_from) {
|
||||
_data_size = 0;
|
||||
MLPPMatrix(const Array &p_from) {
|
||||
_data = NULL;
|
||||
|
||||
resize_data(p_from.size());
|
||||
typename PoolRealArray::Read r = p_from.read();
|
||||
for (int i = 0; i < _data_size; i++) {
|
||||
_data[i] = r[i];
|
||||
}
|
||||
set_from_arrays(p_from);
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ ~MLPPMatrix() {
|
||||
@ -315,29 +429,58 @@ public:
|
||||
}
|
||||
|
||||
// TODO: These are temporary
|
||||
std::vector<double> to_std_vector() const {
|
||||
std::vector<double> to_flat_std_vector() const {
|
||||
std::vector<double> ret;
|
||||
ret.resize(data_size());
|
||||
double *w = &ret[0];
|
||||
memcpy(w, _data, sizeof(double) * _data_size);
|
||||
memcpy(w, _data, sizeof(double) * data_size());
|
||||
return ret;
|
||||
}
|
||||
|
||||
_FORCE_INLINE_ void set_from_std_vector(const std::vector<double> &p_from) {
|
||||
resize_data(p_from.size());
|
||||
for (int i = 0; i < _data_size; i++) {
|
||||
_data[i] = p_from[i];
|
||||
_FORCE_INLINE_ void set_from_std_vectors(const std::vector<std::vector<double>> &p_from) {
|
||||
if (p_from.size() == 0) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
resize(Size2i(p_from[0].size(), p_from.size()));
|
||||
|
||||
if (data_size() == 0) {
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
for (uint32_t i = 0; i < p_from.size(); ++i) {
|
||||
const std::vector<double> &r = p_from[i];
|
||||
|
||||
ERR_CONTINUE(r.size() != static_cast<uint32_t>(_size.x));
|
||||
|
||||
int start_index = i * _size.x;
|
||||
|
||||
const double *from_ptr = &r[0];
|
||||
for (int j = 0; j < _size.x; j++) {
|
||||
_data[start_index + j] = from_ptr[j];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
MLPPMatrix(const std::vector<double> &p_from) {
|
||||
_data_size = 0;
|
||||
_FORCE_INLINE_ void set_row_std_vector(int p_index_y, const std::vector<double> &p_row) {
|
||||
ERR_FAIL_COND(p_row.size() != static_cast<uint32_t>(_size.x));
|
||||
ERR_FAIL_INDEX(p_index_y, _size.y);
|
||||
|
||||
int ind_start = p_index_y * _size.x;
|
||||
|
||||
const double *row_ptr = &p_row[0];
|
||||
|
||||
for (int i = 0; i < _size.x; ++i) {
|
||||
_data[ind_start + i] = row_ptr[i];
|
||||
}
|
||||
}
|
||||
|
||||
MLPPMatrix(const std::vector<std::vector<double>> &p_from) {
|
||||
_data = NULL;
|
||||
|
||||
resize_data(p_from.size());
|
||||
for (int i = 0; i < _data_size; i++) {
|
||||
_data[i] = p_from[i];
|
||||
}
|
||||
set_from_std_vectors(p_from);
|
||||
}
|
||||
|
||||
protected:
|
||||
@ -345,7 +488,6 @@ protected:
|
||||
|
||||
protected:
|
||||
Size2i _size;
|
||||
int _data_size;
|
||||
double *_data;
|
||||
};
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user