Moved lots of methods in MLPPVector's header to the .cpp file.

This commit is contained in:
Relintai 2023-04-25 18:19:58 +02:00
parent 283420c3a7
commit c707095f2d
2 changed files with 321 additions and 278 deletions

View File

@ -3,6 +3,260 @@
#include "mlpp_matrix.h"
void MLPPVector::push_back(real_t p_elem) {
++_size;
_data = (real_t *)memrealloc(_data, _size * sizeof(real_t));
CRASH_COND_MSG(!_data, "Out of memory");
_data[_size - 1] = p_elem;
}
void MLPPVector::add_mlpp_vector(const Ref<MLPPVector> &p_other) {
ERR_FAIL_COND(!p_other.is_valid());
int other_size = p_other->size();
if (other_size == 0) {
return;
}
int start_offset = _size;
_size += other_size;
_data = (real_t *)memrealloc(_data, _size * sizeof(real_t));
CRASH_COND_MSG(!_data, "Out of memory");
const real_t *other_ptr = p_other->ptr();
for (int i = 0; i < other_size; ++i) {
_data[start_offset + i] = other_ptr[i];
}
}
void MLPPVector::remove(real_t p_index) {
ERR_FAIL_INDEX(p_index, _size);
--_size;
if (_size == 0) {
memfree(_data);
_data = NULL;
return;
}
for (int i = p_index; i < _size; i++) {
_data[i] = _data[i + 1];
}
_data = (real_t *)memrealloc(_data, _size * sizeof(real_t));
CRASH_COND_MSG(!_data, "Out of memory");
}
// Removes the item copying the last value into the position of the one to
// remove. It's generally faster than `remove`.
void MLPPVector::remove_unordered(int p_index) {
ERR_FAIL_INDEX(p_index, _size);
_size--;
if (_size == 0) {
memfree(_data);
_data = NULL;
return;
}
if (_size > p_index) {
_data[p_index] = _data[_size];
}
_data = (real_t *)memrealloc(_data, _size * sizeof(real_t));
CRASH_COND_MSG(!_data, "Out of memory");
}
void MLPPVector::erase(const real_t &p_val) {
int idx = find(p_val);
if (idx >= 0) {
remove(idx);
}
}
int MLPPVector::erase_multiple_unordered(const real_t &p_val) {
int from = 0;
int count = 0;
while (true) {
int64_t idx = find(p_val, from);
if (idx == -1) {
break;
}
remove_unordered(idx);
from = idx;
count++;
}
return count;
}
void MLPPVector::invert() {
for (int i = 0; i < _size / 2; i++) {
SWAP(_data[i], _data[_size - i - 1]);
}
}
void MLPPVector::resize(int p_size) {
_size = p_size;
if (_size == 0) {
memfree(_data);
_data = NULL;
return;
}
_data = (real_t *)memrealloc(_data, _size * sizeof(real_t));
CRASH_COND_MSG(!_data, "Out of memory");
}
void MLPPVector::fill(real_t p_val) {
for (int i = 0; i < _size; i++) {
_data[i] = p_val;
}
}
void MLPPVector::insert(int p_pos, real_t p_val) {
ERR_FAIL_INDEX(p_pos, _size + 1);
if (p_pos == _size) {
push_back(p_val);
} else {
resize(_size + 1);
for (int i = _size - 1; i > p_pos; i--) {
_data[i] = _data[i - 1];
}
_data[p_pos] = p_val;
}
}
int MLPPVector::find(const real_t &p_val, int p_from) const {
for (int i = p_from; i < _size; i++) {
if (_data[i] == p_val) {
return i;
}
}
return -1;
}
void MLPPVector::ordered_insert(real_t p_val) {
int i;
for (i = 0; i < _size; i++) {
if (p_val < _data[i]) {
break;
}
}
insert(i, p_val);
}
Vector<real_t> MLPPVector::to_vector() const {
Vector<real_t> ret;
ret.resize(size());
real_t *w = ret.ptrw();
memcpy(w, _data, sizeof(real_t) * _size);
return ret;
}
PoolRealArray MLPPVector::to_pool_vector() const {
PoolRealArray pl;
if (size()) {
pl.resize(size());
typename PoolRealArray::Write w = pl.write();
real_t *dest = w.ptr();
for (int i = 0; i < size(); ++i) {
dest[i] = static_cast<real_t>(_data[i]);
}
}
return pl;
}
Vector<uint8_t> MLPPVector::to_byte_array() const {
Vector<uint8_t> ret;
ret.resize(_size * sizeof(real_t));
uint8_t *w = ret.ptrw();
memcpy(w, _data, sizeof(real_t) * _size);
return ret;
}
Ref<MLPPVector> MLPPVector::duplicate() const {
Ref<MLPPVector> ret;
ret.instance();
ret->set_from_mlpp_vectorr(*this);
return ret;
}
void MLPPVector::set_from_mlpp_vectorr(const MLPPVector &p_from) {
if (_size != p_from.size()) {
resize(p_from.size());
}
for (int i = 0; i < p_from._size; i++) {
_data[i] = p_from._data[i];
}
}
void MLPPVector::set_from_mlpp_vector(const Ref<MLPPVector> &p_from) {
ERR_FAIL_COND(!p_from.is_valid());
if (_size != p_from->size()) {
resize(p_from->size());
}
for (int i = 0; i < p_from->_size; i++) {
_data[i] = p_from->_data[i];
}
}
void MLPPVector::set_from_vector(const Vector<real_t> &p_from) {
if (_size != p_from.size()) {
resize(p_from.size());
}
resize(p_from.size());
for (int i = 0; i < _size; i++) {
_data[i] = p_from[i];
}
}
void MLPPVector::set_from_pool_vector(const PoolRealArray &p_from) {
if (_size != p_from.size()) {
resize(p_from.size());
}
PoolRealArray::Read r = p_from.read();
for (int i = 0; i < _size; i++) {
_data[i] = r[i];
}
}
bool MLPPVector::is_equal_approx(const Ref<MLPPVector> &p_with, real_t tolerance) const {
ERR_FAIL_COND_V(!p_with.is_valid(), false);
if (unlikely(this == p_with.ptr())) {
return true;
}
if (_size != p_with->size()) {
return false;
}
for (int i = 0; i < _size; ++i) {
if (!Math::is_equal_approx(_data[i], p_with->_data[i], tolerance)) {
return false;
}
}
return true;
}
void MLPPVector::flatten_vectors(const Vector<Ref<MLPPVector>> &A) {
int vsize = 0;
for (int i = 0; i < A.size(); ++i) {
@ -1010,6 +1264,47 @@ String MLPPVector::to_string() {
return str;
}
MLPPVector::MLPPVector() {
_size = 0;
_data = NULL;
}
MLPPVector::MLPPVector(const MLPPVector &p_from) {
_size = 0;
_data = NULL;
resize(p_from.size());
for (int i = 0; i < p_from._size; i++) {
_data[i] = p_from._data[i];
}
}
MLPPVector::MLPPVector(const Vector<real_t> &p_from) {
_size = 0;
_data = NULL;
resize(p_from.size());
for (int i = 0; i < _size; i++) {
_data[i] = p_from[i];
}
}
MLPPVector::MLPPVector(const PoolRealArray &p_from) {
_size = 0;
_data = NULL;
resize(p_from.size());
typename PoolRealArray::Read r = p_from.read();
for (int i = 0; i < _size; i++) {
_data[i] = r[i];
}
}
MLPPVector::~MLPPVector() {
if (_data) {
reset();
}
}
std::vector<real_t> MLPPVector::to_std_vector() const {
std::vector<real_t> ret;
ret.resize(size());

View File

@ -29,105 +29,19 @@ public:
return _data;
}
_FORCE_INLINE_ void push_back(real_t p_elem) {
++_size;
void push_back(real_t p_elem);
void add_mlpp_vector(const Ref<MLPPVector> &p_other);
_data = (real_t *)memrealloc(_data, _size * sizeof(real_t));
CRASH_COND_MSG(!_data, "Out of memory");
_data[_size - 1] = p_elem;
}
_FORCE_INLINE_ void add_mlpp_vector(const Ref<MLPPVector> &p_other) {
ERR_FAIL_COND(!p_other.is_valid());
int other_size = p_other->size();
if (other_size == 0) {
return;
}
int start_offset = _size;
_size += other_size;
_data = (real_t *)memrealloc(_data, _size * sizeof(real_t));
CRASH_COND_MSG(!_data, "Out of memory");
const real_t *other_ptr = p_other->ptr();
for (int i = 0; i < other_size; ++i) {
_data[start_offset + i] = other_ptr[i];
}
}
void remove(real_t p_index) {
ERR_FAIL_INDEX(p_index, _size);
--_size;
if (_size == 0) {
memfree(_data);
_data = NULL;
return;
}
for (int i = p_index; i < _size; i++) {
_data[i] = _data[i + 1];
}
_data = (real_t *)memrealloc(_data, _size * sizeof(real_t));
CRASH_COND_MSG(!_data, "Out of memory");
}
void remove(real_t p_index);
// Removes the item copying the last value into the position of the one to
// remove. It's generally faster than `remove`.
void remove_unordered(int p_index) {
ERR_FAIL_INDEX(p_index, _size);
_size--;
void remove_unordered(int p_index);
if (_size == 0) {
memfree(_data);
_data = NULL;
return;
}
void erase(const real_t &p_val);
int erase_multiple_unordered(const real_t &p_val);
if (_size > p_index) {
_data[p_index] = _data[_size];
}
_data = (real_t *)memrealloc(_data, _size * sizeof(real_t));
CRASH_COND_MSG(!_data, "Out of memory");
}
void erase(const real_t &p_val) {
int idx = find(p_val);
if (idx >= 0) {
remove(idx);
}
}
int erase_multiple_unordered(const real_t &p_val) {
int from = 0;
int count = 0;
while (true) {
int64_t idx = find(p_val, from);
if (idx == -1) {
break;
}
remove_unordered(idx);
from = idx;
count++;
}
return count;
}
void invert() {
for (int i = 0; i < _size / 2; i++) {
SWAP(_data[i], _data[_size - i - 1]);
}
}
void invert();
_FORCE_INLINE_ void clear() { resize(0); }
_FORCE_INLINE_ void reset() {
@ -141,18 +55,7 @@ public:
_FORCE_INLINE_ bool empty() const { return _size == 0; }
_FORCE_INLINE_ int size() const { return _size; }
void resize(int p_size) {
_size = p_size;
if (_size == 0) {
memfree(_data);
_data = NULL;
return;
}
_data = (real_t *)memrealloc(_data, _size * sizeof(real_t));
CRASH_COND_MSG(!_data, "Out of memory");
}
void resize(int p_size);
_FORCE_INLINE_ const real_t &operator[](int p_index) const {
CRASH_BAD_INDEX(p_index, _size);
@ -173,33 +76,10 @@ public:
_data[p_index] = p_val;
}
void fill(real_t p_val) {
for (int i = 0; i < _size; i++) {
_data[i] = p_val;
}
}
void fill(real_t p_val);
void insert(int p_pos, real_t p_val);
void insert(int p_pos, real_t p_val) {
ERR_FAIL_INDEX(p_pos, _size + 1);
if (p_pos == _size) {
push_back(p_val);
} else {
resize(_size + 1);
for (int i = _size - 1; i > p_pos; i--) {
_data[i] = _data[i - 1];
}
_data[p_pos] = p_val;
}
}
int find(const real_t &p_val, int p_from = 0) const {
for (int i = p_from; i < _size; i++) {
if (_data[i] == p_val) {
return i;
}
}
return -1;
}
int find(const real_t &p_val, int p_from = 0) const;
template <class C>
void sort_custom() {
@ -216,118 +96,20 @@ public:
sort_custom<_DefaultComparator<real_t>>();
}
void ordered_insert(real_t p_val) {
int i;
for (i = 0; i < _size; i++) {
if (p_val < _data[i]) {
break;
}
}
insert(i, p_val);
}
void ordered_insert(real_t p_val);
Vector<real_t> to_vector() const {
Vector<real_t> ret;
ret.resize(size());
real_t *w = ret.ptrw();
memcpy(w, _data, sizeof(real_t) * _size);
return ret;
}
Vector<real_t> to_vector() const;
PoolRealArray to_pool_vector() const;
Vector<uint8_t> to_byte_array() const;
PoolRealArray to_pool_vector() const {
PoolRealArray pl;
if (size()) {
pl.resize(size());
typename PoolRealArray::Write w = pl.write();
real_t *dest = w.ptr();
Ref<MLPPVector> duplicate() const;
for (int i = 0; i < size(); ++i) {
dest[i] = static_cast<real_t>(_data[i]);
}
}
return pl;
}
void set_from_mlpp_vectorr(const MLPPVector &p_from);
void set_from_mlpp_vector(const Ref<MLPPVector> &p_from);
void set_from_vector(const Vector<real_t> &p_from);
void set_from_pool_vector(const PoolRealArray &p_from);
Vector<uint8_t> to_byte_array() const {
Vector<uint8_t> ret;
ret.resize(_size * sizeof(real_t));
uint8_t *w = ret.ptrw();
memcpy(w, _data, sizeof(real_t) * _size);
return ret;
}
Ref<MLPPVector> duplicate() const {
Ref<MLPPVector> ret;
ret.instance();
ret->set_from_mlpp_vectorr(*this);
return ret;
}
_FORCE_INLINE_ void set_from_mlpp_vectorr(const MLPPVector &p_from) {
if (_size != p_from.size()) {
resize(p_from.size());
}
for (int i = 0; i < p_from._size; i++) {
_data[i] = p_from._data[i];
}
}
_FORCE_INLINE_ void set_from_mlpp_vector(const Ref<MLPPVector> &p_from) {
ERR_FAIL_COND(!p_from.is_valid());
if (_size != p_from->size()) {
resize(p_from->size());
}
for (int i = 0; i < p_from->_size; i++) {
_data[i] = p_from->_data[i];
}
}
_FORCE_INLINE_ void set_from_vector(const Vector<real_t> &p_from) {
if (_size != p_from.size()) {
resize(p_from.size());
}
resize(p_from.size());
for (int i = 0; i < _size; i++) {
_data[i] = p_from[i];
}
}
_FORCE_INLINE_ void set_from_pool_vector(const PoolRealArray &p_from) {
if (_size != p_from.size()) {
resize(p_from.size());
}
PoolRealArray::Read r = p_from.read();
for (int i = 0; i < _size; i++) {
_data[i] = r[i];
}
}
_FORCE_INLINE_ bool is_equal_approx(const Ref<MLPPVector> &p_with, real_t tolerance = static_cast<real_t>(CMP_EPSILON)) const {
ERR_FAIL_COND_V(!p_with.is_valid(), false);
if (unlikely(this == p_with.ptr())) {
return true;
}
if (_size != p_with->size()) {
return false;
}
for (int i = 0; i < _size; ++i) {
if (!Math::is_equal_approx(_data[i], p_with->_data[i], tolerance)) {
return false;
}
}
return true;
}
bool is_equal_approx(const Ref<MLPPVector> &p_with, real_t tolerance = static_cast<real_t>(CMP_EPSILON)) const;
void flatten_vectors(const Vector<Ref<MLPPVector>> &A);
Ref<MLPPVector> flatten_vectorsn(const Vector<Ref<MLPPVector>> &A) const;
@ -438,46 +220,12 @@ public:
String to_string();
_FORCE_INLINE_ MLPPVector() {
_size = 0;
_data = NULL;
}
_FORCE_INLINE_ MLPPVector(const MLPPVector &p_from) {
_size = 0;
_data = NULL;
MLPPVector();
MLPPVector(const MLPPVector &p_from);
MLPPVector(const Vector<real_t> &p_from);
MLPPVector(const PoolRealArray &p_from);
resize(p_from.size());
for (int i = 0; i < p_from._size; i++) {
_data[i] = p_from._data[i];
}
}
MLPPVector(const Vector<real_t> &p_from) {
_size = 0;
_data = NULL;
resize(p_from.size());
for (int i = 0; i < _size; i++) {
_data[i] = p_from[i];
}
}
MLPPVector(const PoolRealArray &p_from) {
_size = 0;
_data = NULL;
resize(p_from.size());
typename PoolRealArray::Read r = p_from.read();
for (int i = 0; i < _size; i++) {
_data[i] = r[i];
}
}
_FORCE_INLINE_ ~MLPPVector() {
if (_data) {
reset();
}
}
~MLPPVector();
// TODO: These are temporary
std::vector<real_t> to_std_vector() const;