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hashMap.c 6.77 KB
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方瑾 提交于 2021-05-18 22:49 . fix: 删除无用
#include"hashMap.h"
int defaultHashCode(HashMap hashMap, let key) {
char * k = (char *)key;
unsigned long h = 0;
while (*k) {
h = (h << 4) + *k++;
unsigned long g = h & 0xF0000000L;
if (g) {
h ^= g >> 24;
}
h &= ~g;
}
return h % hashMap->listSize;
}
Boolean defaultEqual(let key1, let key2) {
return strcmp((string)key1, (string)key2) ? False : True;
}
void resetHashMap(HashMap hashMap, int listSize) {
if (listSize < 8) return;
// 键值对临时存储空间
Entry tempList = newEntryList(hashMap->size);
HashMapIterator iterator = createHashMapIterator(hashMap);
int length = hashMap->size;
for (int index = 0; hasNextHashMapIterator(iterator); index++) {
// 迭代取出所有键值对
iterator = nextHashMapIterator(iterator);
tempList[index].key = iterator->entry->key;
tempList[index].value = iterator->entry->value;
tempList[index].next = NULL;
}
freeHashMapIterator(&iterator);
// 清除原有键值对数据
hashMap->size = 0;
for (int i = 0; i < hashMap->listSize; i++) {
Entry current = &hashMap->list[i];
current->key = NULL;
current->value = NULL;
if (current->next != NULL) {
while (current->next != NULL) {
Entry temp = current->next->next;
free(current->next);
current->next = temp;
}
}
}
// 更改内存大小
hashMap->listSize = listSize;
Entry relist = (Entry)realloc(hashMap->list, hashMap->listSize * sizeof(struct entry));
if (relist != NULL) {
hashMap->list = relist;
relist = NULL;
}
// 初始化数据
for (int i = 0; i < hashMap->listSize; i++) {
hashMap->list[i].key = NULL;
hashMap->list[i].value = NULL;
hashMap->list[i].next = NULL;
}
// 将所有键值对重新写入内存
for (int i = 0; i < length; i++) {
hashMap->put(hashMap, tempList[i].key, tempList[i].value);
}
free(tempList);
}
void defaultPut(HashMap hashMap, let key, let value) {
// 获取哈希值
int index = hashMap->hashCode(hashMap, key);
if (hashMap->list[index].key == NULL) {
hashMap->size++;
// 该地址为空时直接存储
hashMap->list[index].key = key;
hashMap->list[index].value = value;
}
else {
Entry current = &hashMap->list[index];
while (current != NULL) {
if (hashMap->equal(key, current->key)) {
// 对于键值已经存在的直接覆盖
current->value = value;
return;
}
current = current->next;
};
// 发生冲突则创建节点挂到相应位置的next上
Entry entry = newEntry();
entry->key = key;
entry->value = value;
entry->next = hashMap->list[index].next;
hashMap->list[index].next = entry;
hashMap->size++;
}
if (hashMap->autoAssign && hashMap->size >= hashMap->listSize) {
// 内存扩充至原来的两倍
// *注: 扩充时考虑的是当前存储元素数量与存储空间的大小关系,而不是存储空间是否已经存满,
// 例如: 存储空间为10,存入了10个键值对,但是全部冲突了,所以存储空间空着9个,其余的全部挂在一个上面,
// 这样检索的时候和遍历查询没有什么区别了,可以简单这样理解,当我存入第11个键值对的时候一定会发生冲突,
// 这是由哈希函数本身的特性(取模)决定的,冲突就会导致检索变慢,所以这时候扩充存储空间,对原有键值对进行
// 再次散列,会把冲突的数据再次分散开,加快索引定位速度。
resetHashMap(hashMap, hashMap->listSize * 2);
}
}
let defaultGet(HashMap hashMap, let key) {
if (hashMap->exists(hashMap, key)) {
int index = hashMap->hashCode(hashMap, key);
Entry entry = &hashMap->list[index];
while (entry != NULL) {
if (hashMap->equal(entry->key, key)) {
return entry->value;
}
entry = entry->next;
}
}
return NULL;
}
let defaultRemove(HashMap hashMap, let key) {
int index = hashMap->hashCode(hashMap, key);
Entry entry = &hashMap->list[index];
if (entry->key == NULL) {
return NULL;
}
let entryKey = entry->key;
Boolean result = False;
if (hashMap->equal(entry->key, key)) {
hashMap->size--;
if (entry->next != NULL) {
Entry temp = entry->next;
entry->key = temp->key;
entry->value = temp->value;
entry->next = temp->next;
free(temp);
}
else {
entry->key = NULL;
entry->value = NULL;
}
result = True;
}
else {
Entry p = entry;
entry = entry->next;
while (entry != NULL) {
if (hashMap->equal(entry->key, key)) {
hashMap->size--;
p->next = entry->next;
free(entry);
result = True;
break;
}
p = entry;
entry = entry->next;
};
}
// 如果空间占用不足一半,则释放多余内存
if (result && hashMap->autoAssign && hashMap->size < hashMap->listSize / 2) {
resetHashMap(hashMap, hashMap->listSize / 2);
}
return entryKey;
}
Boolean defaultExists(HashMap hashMap, let key) {
int index = hashMap->hashCode(hashMap, key);
Entry entry = &hashMap->list[index];
if (entry->key == NULL) {
return False;
}
else {
while (entry != NULL) {
if (hashMap->equal(entry->key, key)) {
return True;
}
entry = entry->next;
}
return False;
}
}
void defaultClear(HashMap hashMap) {
for (int i = 0; i < hashMap->listSize; i++) {
// 释放冲突值内存
Entry entry = hashMap->list[i].next;
while (entry != NULL) {
Entry next = entry->next;
free(entry);
entry = next;
}
hashMap->list[i].next = NULL;
}
// 释放存储空间
free(hashMap->list);
hashMap->list = NULL;
hashMap->size = -1;
hashMap->listSize = 0;
}
HashMap createHashMap(HashCode hashCode, Equal equal) {
HashMap hashMap = newHashMap();
if (hashMap == NULL) {
return NULL;
}
hashMap->size = 0;
hashMap->listSize = 8;
hashMap->hashCode = hashCode == NULL ? defaultHashCode : hashCode;
hashMap->equal = equal == NULL ? defaultEqual : equal;
hashMap->exists = defaultExists;
hashMap->get = defaultGet;
hashMap->put = defaultPut;
hashMap->remove = defaultRemove;
hashMap->clear = defaultClear;
hashMap->autoAssign = True;
// 起始分配8个内存空间,溢出时会自动扩充
hashMap->list = newEntryList(hashMap->listSize);
if (hashMap->list == NULL) {
return NULL;
}
Entry p = hashMap->list;
for (int i = 0; i < hashMap->listSize; i++) {
p[i].key = p[i].value = p[i].next = NULL;
}
return hashMap;
}
HashMapIterator createHashMapIterator(HashMap hashMap) {
HashMapIterator iterator = newHashMapIterator();
if (iterator == NULL) {
return;
}
iterator->hashMap = hashMap;
iterator->count = 0;
iterator->hashCode = -1;
iterator->entry = NULL;
return iterator;
}
Boolean hasNextHashMapIterator(HashMapIterator iterator) {
return iterator->count < iterator->hashMap->size ? True : False;
}
HashMapIterator nextHashMapIterator(HashMapIterator iterator) {
if (hasNextHashMapIterator(iterator)) {
if (iterator->entry != NULL && iterator->entry->next != NULL) {
iterator->count++;
iterator->entry = iterator->entry->next;
return iterator;
}
while (++iterator->hashCode < iterator->hashMap->listSize) {
Entry entry = &iterator->hashMap->list[iterator->hashCode];
if (entry->key != NULL) {
iterator->count++;
iterator->entry = entry;
break;
}
}
}
return iterator;
}
void freeHashMapIterator(HashMapIterator * iterator) {
free(*iterator);
*iterator = NULL;
}
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