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@losophy
Last active August 9, 2021 08:17
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lua-5.1.1中的table实现
/*
** search function for integers
*/
const TValue *luaH_getnum (Table *t, int key) {
/* (1 <= key && key <= t->sizearray) */
if (cast(unsigned int, key-1) < cast(unsigned int, t->sizearray))//如果输入的Key是一个正整数,并且它的位大于0并且少等于或等于数组的大小,尝试在数组部分查找
return &t->array[key-1];
else {//如果不是,尝试在散列表部分查找,计算出该`Key`的散列值,根据此散列值访问`Node`数组得到散列桶所在的位置,遍历该散列桶下的所有链表元素,直到找到该`Key`为止。
lua_Number nk = cast_num(key);
Node *n = hashnum(t, nk);
do { /* check whether `key' is somewhere in the chain */
if (ttisnumber(gkey(n)) && luai_numeq(nvalue(gkey(n)), nk))
return gval(n); /* that's it */
else n = gnext(n);
} while (n);
return luaO_nilobject;
}
}
/*
** inserts a new key into a hash table; first, check whether key's main
** position is free. If not, check whether colliding node is in its main
** position or not: if it is not, move colliding node to an empty place and
** put new key in its main position; otherwise (colliding node is in its main
** position), new key goes to an empty position.
*/
static TValue *newkey (lua_State *L, Table *t, const TValue *key) {
Node *mp = mainposition(t, key);//根据key来查找其所在散列桶的mainposition
if (!ttisnil(gval(mp)) || mp == dummynode) {//如果该mainposition上已经有其他数据了,需要重新分配空间给这个新的key,然后将这个新的Node串联到对应的散列桶上
Node *othern;
Node *n = getfreepos(t); /* get a free place */
if (n == NULL) { /* cannot find a free place? */
rehash(L, t, key); /* grow table */
return luaH_set(L, t, key); /* re-insert key into grown table */
}
lua_assert(n != dummynode);
othern = mainposition(t, key2tval(mp));
if (othern != mp) { /* is colliding node out of its main position? */
/* yes; move colliding node into free position */
while (gnext(othern) != mp) othern = gnext(othern); /* find previous */
gnext(othern) = n; /* redo the chain with `n' in place of `mp' */
*n = *mp; /* copy colliding node into free pos. (mp->next also goes) */
gnext(mp) = NULL; /* now `mp' is free */
setnilvalue(gval(mp));
}
else { /* colliding node is in its own main position */
/* new node will go into free position */
gnext(n) = gnext(mp); /* chain new position */
gnext(mp) = n;
mp = n;
}
}
gkey(mp)->value = key->value; gkey(mp)->tt = key->tt;//如果该Node的值为nil,那么直接将key赋值并且返回Node的TValue指针就可以了
luaC_barriert(L, t, key);
lua_assert(ttisnil(gval(mp)));
return gval(mp);
}
static void rehash (lua_State *L, Table *t, const TValue *ek) {
int nasize, na;
int nums[MAXBITS+1]; //分配一个位图nums,将其中的所有位置0。这个位图的意义在于:nums数组中第 i个元素存放的是key在2(i-l)和i之间的元素数量。
int i;
int totaluse;
for (i=0; i<=MAXBITS; i++) nums[i] = 0;
nasize = numusearray(t, nums); //遍历Lua表中的数组部分,计算其中的元素数量,更新对应的nums数组中的元素数量
totaluse = nasize; /* all those keys are integer keys */
totaluse += numusehash(t, nums, &nasize); //遍历lua表中的散列桶部分,因为其中也可能存放了正整数,需要根据这里的正整数数量更新对应的nums数组元素数量
/* count extra key */
nasize += countint(ek, nums);
totaluse++;
/* compute new size for array part */
na = computesizes(nums, &nasize);//此时nums数组已经有了当前这个Table中所有正整数的分配统计,逐个遍历nums数组,获得其范围区间内所包含的整数数量大于50%的最大索引,作为重新散列之后的数组大小,超过这个范围的正整数,就分配到散列桶部分了
/* resize the table to new computed sizes */
resize(L, t, nasize, totaluse - na);//根据上面计算得到的调整后的数组和散列桶大小调整表
}
static int computesizes (int nums[], int *narray) {
int i;
int twotoi; /* 2^i */
int a = 0; /* number of elements smaller than 2^i */
int na = 0; /* number of elements to go to array part */
int n = 0; /* optimal size for array part */
for (i = 0, twotoi = 1; twotoi/2 < *narray; i++, twotoi *= 2) {
if (nums[i] > 0) {
a += nums[i];
if (a > twotoi/2) { /* more than half elements present? */
n = twotoi; /* optimal size (till now) */
na = a; /* all elements smaller than n will go to array part */
}
}
if (a == *narray) break; /* all elements already counted */
}
*narray = n;
lua_assert(*narray/2 <= na && na <= *narray);
return na;
}
int luaH_next (lua_State *L, Table *t, StkId key) {
int i = findindex(L, t, key); /* find original element */
for (i++; i < t->sizearray; i++) { /* try first array part */
if (!ttisnil(&t->array[i])) { /* a non-nil value? */
setnvalue(key, cast_num(i+1));
setobj2s(L, key+1, &t->array[i]);
return 1;
}
}
for (i -= t->sizearray; i < sizenode(t); i++) { /* then hash part */
if (!ttisnil(gval(gnode(t, i)))) { /* a non-nil value? */
setobj2s(L, key, key2tval(gnode(t, i)));
setobj2s(L, key+1, gval(gnode(t, i)));
return 1;
}
}
return 0; /* no more elements */
}
/*
** Try to find a boundary in table `t'. A `boundary' is an integer index
** such that t[i] is non-nil and t[i+1] is nil (and 0 if t[1] is nil).
*/
int luaH_getn (Table *t) {
unsigned int j = t->sizearray;
if (j > 0 && ttisnil(&t->array[j - 1])) {
/* there is a boundary in the array part: (binary) search for it */
unsigned int i = 0;
while (j - i > 1) {
unsigned int m = (i+j)/2;
if (ttisnil(&t->array[m - 1])) j = m;
else i = m;
}
return i;
}
/* else must find a boundary in hash part */
else if (t->node == dummynode) /* hash part is empty? */
return j; /* that is easy... */
else return unbound_search(t, j);
}
/*
** Union of all Lua values
*/
typedef union {
GCObject *gc;
void *p;
lua_Number n;
int b;
} Value;
/*
** Tagged Values
*/
#define TValuefields Value value; int tt
typedef union TKey {
struct {
TValuefields;
struct Node *next; /* for chaining */
} nk;
TValue tvk;
} TKey;
typedef struct Node {
TValue i_val;
TKey i_key;
} Node;
typedef struct Table {
CommonHeader;
lu_byte flags; //这是一个byte类型的数据,用于表示这个表中提供了哪些元方法。最开始这个flags是空的,也就是0,当查找一次之后,如果该表中存在某个元方法,那么将该元方法对应的flag bit置为1,这样下一次查找时只需要比较这个bit就行了。每个元方法对应的bit定义在ltm. h文件中。
lu_byte lsizenode; //该表中以2为底的散列表大小的对数值。同时由此可知,散列表部分的大小一定是2的幕,即如果散列桶数组要扩展的话,也是以每次在原大小基础上乘以2的形式扩展。
struct Table *metatable;//存放该表的元表
TValue *array; //指向数组部分的指针
Node *node; //指向该表的散列桶数组起始位置的指针
Node *lastfree; //指向该表散列桶数组的最后位置的指针
GCObject *gclist; //GC相关的链表
int sizearray; //数组部分的大小
} Table;

ltable

这是从lua-5.1.1中分离出来的table实现代码。

关于lua Table

lua Table

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