Alexander Suvorov
346 lines
7.6 KiB
C++
346 lines
7.6 KiB
C++
// File: crn_sparse_array.h
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// See Copyright Notice and license at the end of inc/crnlib.h
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#pragma once
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namespace crnlib {
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template <typename T, uint Log2N>
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class sparse_array_traits {
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public:
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static inline void* alloc_space(uint size) {
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return crnlib_malloc(size);
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}
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static inline void free_space(void* p) {
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crnlib_free(p);
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}
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static inline void construct_group(T* p) {
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scalar_type<T>::construct_array(p, 1U << Log2N);
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}
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static inline void destruct_group(T* p) {
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scalar_type<T>::destruct_array(p, 1U << Log2N);
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}
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static inline void construct_element(T* p) {
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scalar_type<T>::construct(p);
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}
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static inline void destruct_element(T* p) {
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scalar_type<T>::destruct(p);
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}
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static inline void copy_group(T* pDst, const T* pSrc) {
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for (uint j = 0; j < (1U << Log2N); j++)
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pDst[j] = pSrc[j];
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}
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};
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template <typename T, uint Log2N = 5, template <typename, uint> class Traits = sparse_array_traits>
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class sparse_array : public Traits<T, Log2N> {
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public:
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enum { N = 1U << Log2N };
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inline sparse_array()
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: m_size(0), m_num_active_groups(0) {
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init_default();
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}
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inline sparse_array(uint size)
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: m_size(0), m_num_active_groups(0) {
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init_default();
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resize(size);
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}
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inline sparse_array(const sparse_array& other)
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: m_size(0), m_num_active_groups(0) {
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init_default();
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*this = other;
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}
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inline ~sparse_array() {
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for (uint i = 0; (i < m_groups.size()) && m_num_active_groups; i++)
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free_group(m_groups[i]);
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deinit_default();
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}
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bool assign(const sparse_array& other) {
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if (this == &other)
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return true;
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if (!try_resize(other.size()))
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return false;
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for (uint i = 0; i < other.m_groups.size(); i++) {
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const T* p = other.m_groups[i];
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T* q = m_groups[i];
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if (p) {
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if (!q) {
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q = alloc_group(true);
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if (!q)
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return false;
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m_groups[i] = q;
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}
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copy_group(q, p);
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} else if (q) {
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free_group(q);
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m_groups[i] = NULL;
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}
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}
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return true;
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}
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sparse_array& operator=(const sparse_array& other) {
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if (!assign(other)) {
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CRNLIB_FAIL("Out of memory");
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}
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return *this;
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}
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bool operator==(const sparse_array& other) const {
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if (m_size != other.m_size)
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return false;
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for (uint i = 0; i < m_size; i++)
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if (!((*this)[i] == other[i]))
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return false;
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return true;
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}
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bool operator<(const sparse_array& rhs) const {
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const uint min_size = math::minimum(m_size, rhs.m_size);
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uint i;
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for (i = 0; i < min_size; i++)
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if (!((*this)[i] == rhs[i]))
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break;
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if (i < min_size)
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return (*this)[i] < rhs[i];
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return m_size < rhs.m_size;
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}
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void clear() {
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if (m_groups.size()) {
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for (uint i = 0; (i < m_groups.size()) && m_num_active_groups; i++)
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free_group(m_groups[i]);
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m_groups.clear();
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}
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m_size = 0;
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CRNLIB_ASSERT(!m_num_active_groups);
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}
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bool try_resize(uint size) {
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if (m_size == size)
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return true;
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const uint new_num_groups = (size + N - 1) >> Log2N;
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if (new_num_groups != m_groups.size()) {
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for (uint i = new_num_groups; i < m_groups.size(); i++)
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free_group(m_groups[i]);
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if (!m_groups.try_resize(new_num_groups))
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return false;
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}
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m_size = size;
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return true;
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}
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void resize(uint size) {
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if (!try_resize(size)) {
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CRNLIB_FAIL("Out of memory");
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}
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}
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inline uint size() const { return m_size; }
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inline bool empty() const { return 0 == m_size; }
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inline uint capacity() const { return m_groups.size(); }
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inline const T& operator[](uint i) const {
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CRNLIB_ASSERT(i < m_size);
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const T* p = m_groups[i >> Log2N];
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const void* t = m_default;
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return p ? p[i & (N - 1)] : *reinterpret_cast<const T*>(t);
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}
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inline const T* get(uint i) const {
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CRNLIB_ASSERT(i < m_size);
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const T* p = m_groups[i >> Log2N];
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return p ? &p[i & (N - 1)] : NULL;
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}
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inline T* get(uint i) {
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CRNLIB_ASSERT(i < m_size);
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T* p = m_groups[i >> Log2N];
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return p ? &p[i & (N - 1)] : NULL;
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}
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inline bool is_present(uint i) const {
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CRNLIB_ASSERT(i < m_size);
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return m_groups[i >> Log2N] != NULL;
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}
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inline uint get_num_groups() const { return m_groups.size(); }
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inline const T* get_group(uint group_index) const {
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return m_groups[group_index];
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}
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inline T* get_group(uint group_index) {
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return m_groups[group_index];
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}
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inline uint get_group_size() const {
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return N;
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}
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inline T* ensure_valid(uint index) {
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CRNLIB_ASSERT(index <= m_size);
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const uint group_index = index >> Log2N;
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if (group_index >= m_groups.size()) {
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T* p = alloc_group(true);
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if (!p)
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return NULL;
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if (!m_groups.try_push_back(p)) {
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free_group(p);
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return NULL;
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}
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}
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T* p = m_groups[group_index];
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if (!p) {
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p = alloc_group(true);
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if (!p)
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return NULL;
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m_groups[group_index] = p;
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}
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m_size = math::maximum(index + 1, m_size);
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return p + (index & (N - 1));
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}
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inline bool set(uint index, const T& obj) {
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T* p = ensure_valid(index);
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if (!p)
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return false;
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*p = obj;
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return true;
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}
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inline void push_back(const T& obj) {
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if (!set(m_size, obj)) {
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CRNLIB_FAIL("Out of memory");
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}
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}
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inline bool try_push_back(const T& obj) {
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return set(m_size, obj);
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}
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inline void pop_back() {
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CRNLIB_ASSERT(m_size);
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if (m_size)
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resize(m_size - 1);
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}
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inline void unset_range(uint start, uint num) {
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if (!num)
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return;
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CRNLIB_ASSERT((start + num) <= capacity());
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const uint num_to_skip = math::minimum(math::get_align_up_value_delta(start, N), num);
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num -= num_to_skip;
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const uint first_group = (start + num_to_skip) >> Log2N;
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const uint num_groups = num >> Log2N;
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for (uint i = 0; i < num_groups; i++) {
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T* p = m_groups[first_group + i];
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if (p) {
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free_group(p);
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m_groups[i] = NULL;
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}
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}
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}
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inline void unset_all() {
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unset_range(0, m_groups.size() << Log2N);
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}
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inline void swap(sparse_array& other) {
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utils::swap(m_size, other.m_size);
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m_groups.swap(other.m_groups);
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utils::swap(m_num_active_groups, other.m_num_active_groups);
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}
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private:
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uint m_size;
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uint m_num_active_groups;
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crnlib::vector<T*> m_groups;
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uint64 m_default[(sizeof(T) + sizeof(uint64) - 1) / sizeof(uint64)];
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inline T* alloc_group(bool nofail = false) {
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T* p = static_cast<T*>(sparse_array_traits<T, Log2N>::alloc_space(N * sizeof(T)));
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if (!p) {
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if (nofail)
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return NULL;
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CRNLIB_FAIL("Out of memory");
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}
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sparse_array_traits<T, Log2N>::construct_group(p);
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m_num_active_groups++;
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return p;
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}
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inline void free_group(T* p) {
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if (p) {
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CRNLIB_ASSERT(m_num_active_groups);
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m_num_active_groups--;
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sparse_array_traits<T, Log2N>::destruct_group(p);
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sparse_array_traits<T, Log2N>::free_space(p);
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}
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}
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inline void init_default() {
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sparse_array_traits<T, Log2N>::construct_element(reinterpret_cast<T*>(m_default));
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}
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inline void deinit_default() {
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sparse_array_traits<T, Log2N>::destruct_element(reinterpret_cast<T*>(m_default));
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}
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};
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} // namespace crnlib
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