Files
Odin/base/runtime/dynamic_map_internal.odin
2025-09-18 20:58:24 +01:00

1063 lines
36 KiB
Odin

package runtime
import "base:intrinsics"
_ :: intrinsics
// High performance, cache-friendly, open-addressed Robin Hood hashing hash map
// data structure with various optimizations for Odin.
//
// Copyright 2022 (c) Dale Weiler
//
// The core of the hash map data structure is the Raw_Map struct which is a
// type-erased representation of the map. This type-erased representation is
// used in two ways: static and dynamic. When static type information is known,
// the procedures suffixed with _static should be used instead of _dynamic. The
// static procedures are optimized since they have type information. Hashing of
// keys, comparison of keys, and data lookup are all optimized. When type
// information is not known, the procedures suffixed with _dynamic should be
// used. The representation of the map is the same for both static and dynamic,
// and procedures of each can be mixed and matched. The purpose of the dynamic
// representation is to enable reflection and runtime manipulation of the map.
// The dynamic procedures all take an additional Map_Info structure parameter
// which carries runtime values describing the size, alignment, and offset of
// various traits of a given key and value type pair. The Map_Info value can
// be created by calling map_info(K, V) with the key and value typeids.
//
// This map implementation makes extensive use of uintptr for representing
// sizes, lengths, capacities, masks, pointers, offsets, and addresses to avoid
// expensive sign extension and masking that would be generated if types were
// casted all over. The only place regular ints show up is in the cap() and
// len() implementations.
//
// To make this map cache-friendly it uses a novel strategy to ensure keys and
// values of the map are always cache-line aligned and that no single key or
// value of any type ever straddles a cache-line. This cache efficiency makes
// for quick lookups because the linear-probe always addresses data in a cache
// friendly way. This is enabled through the use of a special meta-type called
// a Map_Cell which packs as many values of a given type into a local array adding
// internal padding to round to MAP_CACHE_LINE_SIZE. One other benefit to storing
// the internal data in this manner is false sharing no longer occurs when using
// a map, enabling efficient concurrent access of the map data structure with
// minimal locking if desired.
// With Robin Hood hashing a maximum load factor of 75% is ideal.
MAP_LOAD_FACTOR :: 75
// Minimum log2 capacity.
MAP_MIN_LOG2_CAPACITY :: 3 // 8 elements
// Has to be less than 100% though.
#assert(MAP_LOAD_FACTOR < 100)
// This is safe to change. The log2 size of a cache-line. At minimum it has to
// be six though. Higher cache line sizes are permitted.
MAP_CACHE_LINE_LOG2 :: 6
// The size of a cache-line.
MAP_CACHE_LINE_SIZE :: 1 << MAP_CACHE_LINE_LOG2
// The minimum cache-line size allowed by this implementation is 64 bytes since
// we need 6 bits in the base pointer to store the integer log2 capacity, which
// at maximum is 63. Odin uses signed integers to represent length and capacity,
// so only 63 bits are needed in the maximum case.
#assert(MAP_CACHE_LINE_SIZE >= 64)
// Map_Cell type that packs multiple T in such a way to ensure that each T stays
// aligned by align_of(T) and such that align_of(Map_Cell(T)) % MAP_CACHE_LINE_SIZE == 0
//
// This means a value of type T will never straddle a cache-line.
//
// When multiple Ts can fit in a single cache-line the data array will have more
// than one element. When it cannot, the data array will have one element and
// an array of Map_Cell(T) will be padded to stay a multiple of MAP_CACHE_LINE_SIZE.
//
// We rely on the type system to do all the arithmetic and padding for us here.
//
// The usual array[index] indexing for []T backed by a []Map_Cell(T) becomes a bit
// more involved as there now may be internal padding. The indexing now becomes
//
// N :: len(Map_Cell(T){}.data)
// i := index / N
// j := index % N
// cell[i].data[j]
//
// However, since len(Map_Cell(T){}.data) is a compile-time constant, there are some
// optimizations we can do to eliminate the need for any divisions as N will
// be bounded by [1, 64).
//
// In the optimal case, len(Map_Cell(T){}.data) = 1 so the cell array can be treated
// as a regular array of T, which is the case for hashes.
Map_Cell :: struct($T: typeid) #align(MAP_CACHE_LINE_SIZE) {
data: [MAP_CACHE_LINE_SIZE / size_of(T) when 0 < size_of(T) && size_of(T) < MAP_CACHE_LINE_SIZE else 1]T,
}
// So we can operate on a cell data structure at runtime without any type
// information, we have a simple table that stores some traits about the cell.
//
// 32-bytes on 64-bit
// 16-bytes on 32-bit
Map_Cell_Info :: struct {
size_of_type: uintptr, // 8-bytes on 64-bit, 4-bytes on 32-bits
align_of_type: uintptr, // 8-bytes on 64-bit, 4-bytes on 32-bits
size_of_cell: uintptr, // 8-bytes on 64-bit, 4-bytes on 32-bits
elements_per_cell: uintptr, // 8-bytes on 64-bit, 4-bytes on 32-bits
}
// map_cell_info :: proc "contextless" ($T: typeid) -> ^Map_Cell_Info {...}
map_cell_info :: intrinsics.type_map_cell_info
// Same as the above procedure but at runtime with the cell Map_Cell_Info value.
@(require_results)
map_cell_index_dynamic :: #force_inline proc "contextless" (base: uintptr, #no_alias info: ^Map_Cell_Info, index: uintptr) -> uintptr {
// Micro-optimize the common cases to save on integer division.
elements_per_cell := uintptr(info.elements_per_cell)
size_of_cell := uintptr(info.size_of_cell)
switch elements_per_cell {
case 1:
return base + (index * size_of_cell)
case 2:
cell_index := index >> 1
data_index := index & 1
size_of_type := uintptr(info.size_of_type)
return base + (cell_index * size_of_cell) + (data_index * size_of_type)
case:
cell_index := index / elements_per_cell
data_index := index % elements_per_cell
size_of_type := uintptr(info.size_of_type)
return base + (cell_index * size_of_cell) + (data_index * size_of_type)
}
}
// Same as above procedure but with compile-time constant index.
@(require_results)
map_cell_index_dynamic_const :: proc "contextless" (base: uintptr, #no_alias info: ^Map_Cell_Info, $INDEX: uintptr) -> uintptr {
elements_per_cell := uintptr(info.elements_per_cell)
size_of_cell := uintptr(info.size_of_cell)
size_of_type := uintptr(info.size_of_type)
cell_index := INDEX / elements_per_cell
data_index := INDEX % elements_per_cell
return base + (cell_index * size_of_cell) + (data_index * size_of_type)
}
// We always round the capacity to a power of two so this becomes [16]Foo, which
// works out to [4]Cell(Foo).
//
// The following compile-time procedure indexes such a [N]Cell(T) structure as
// if it were a flat array accounting for the internal padding introduced by the
// Cell structure.
@(require_results)
map_cell_index_static :: #force_inline proc "contextless" (cells: [^]Map_Cell($T), index: uintptr) -> ^T #no_bounds_check {
N :: size_of(Map_Cell(T){}.data) / size_of(T) when size_of(T) > 0 else 1
#assert(N <= MAP_CACHE_LINE_SIZE)
when size_of(Map_Cell(T)) == size_of([N]T) {
// No padding case, can treat as a regular array of []T.
return &([^]T)(cells)[index]
} else when (N & (N - 1)) == 0 && N <= 8*size_of(uintptr) {
// Likely case, N is a power of two because T is a power of two.
// Unique case, no need to index data here since only one element.
when N == 1 {
return &cells[index].data[0]
}
// Compute the integer log 2 of N, this is the shift amount to index the
// correct cell. Odin's intrinsics.count_leading_zeros does not produce a
// constant, hence this approach. We only need to check up to N = 64.
SHIFT :: 1 when N == 2 else
2 when N == 4 else
3 when N == 8 else
4 when N == 16 else
5 when N == 32 else 6
#assert(SHIFT <= MAP_CACHE_LINE_LOG2)
return &cells[index >> SHIFT].data[index & (N - 1)]
} else {
// Least likely (and worst case), we pay for a division operation but we
// assume the compiler does not actually generate a division. N will be in the
// range [1, CACHE_LINE_SIZE) and not a power of two.
return &cells[index / N].data[index % N]
}
}
// len() for map
@(require_results)
map_len :: #force_inline proc "contextless" (m: Raw_Map) -> int {
return int(m.len)
}
// cap() for map
@(require_results)
map_cap :: #force_inline proc "contextless" (m: Raw_Map) -> int {
// The data uintptr stores the capacity in the lower six bits which gives the
// a maximum value of 2^6-1, or 63. We store the integer log2 of capacity
// since our capacity is always a power of two. We only need 63 bits as Odin
// represents length and capacity as a signed integer.
return 0 if m.data == 0 else 1 << map_log2_cap(m)
}
// Query the load factor of the map. This is not actually configurable, but
// some math is needed to compute it. Compute it as a fixed point percentage to
// avoid floating point operations. This division can be optimized out by
// multiplying by the multiplicative inverse of 100.
@(require_results)
map_load_factor :: #force_inline proc "contextless" (log2_capacity: uintptr) -> uintptr {
return ((uintptr(1) << log2_capacity) * MAP_LOAD_FACTOR) / 100
}
@(require_results)
map_resize_threshold :: #force_inline proc "contextless" (m: Raw_Map) -> uintptr {
return map_load_factor(map_log2_cap(m))
}
// The data stores the log2 capacity in the lower six bits. This is primarily
// used in the implementation rather than map_cap since the check for data = 0
// isn't necessary in the implementation. cap() on the otherhand needs to work
// when called on an empty map.
@(require_results)
map_log2_cap :: #force_inline proc "contextless" (m: Raw_Map) -> uintptr {
return m.data & (64 - 1)
}
// Canonicalize the data by removing the tagged capacity stored in the lower six
// bits of the data uintptr.
@(require_results)
map_data :: #force_inline proc "contextless" (m: Raw_Map) -> uintptr {
return m.data &~ uintptr(64 - 1)
}
Map_Hash :: uintptr
TOMBSTONE_MASK :: 1<<(size_of(Map_Hash)*8 - 1)
// Procedure to check if a slot is empty for a given hash. This is represented
// by the zero value to make the zero value useful. This is a procedure just
// for prose reasons.
@(require_results)
map_hash_is_empty :: #force_inline proc "contextless" (hash: Map_Hash) -> bool {
return hash == 0
}
@(require_results)
map_hash_is_deleted :: #force_no_inline proc "contextless" (hash: Map_Hash) -> bool {
// The MSB indicates a tombstone
return hash & TOMBSTONE_MASK != 0
}
@(require_results)
map_hash_is_valid :: #force_inline proc "contextless" (hash: Map_Hash) -> bool {
// The MSB indicates a tombstone
return (hash != 0) & (hash & TOMBSTONE_MASK == 0)
}
@(require_results)
map_seed :: #force_inline proc "contextless" (m: Raw_Map) -> uintptr {
return map_seed_from_map_data(map_data(m))
}
// splitmix for uintptr
@(require_results)
map_seed_from_map_data :: #force_inline proc "contextless" (data: uintptr) -> uintptr {
when size_of(uintptr) == size_of(u64) {
mix := data + 0x9e3779b97f4a7c15
mix = (mix ~ (mix >> 30)) * 0xbf58476d1ce4e5b9
mix = (mix ~ (mix >> 27)) * 0x94d049bb133111eb
return mix ~ (mix >> 31)
} else {
mix := data + 0x9e3779b9
mix = (mix ~ (mix >> 16)) * 0x21f0aaad
mix = (mix ~ (mix >> 15)) * 0x735a2d97
return mix ~ (mix >> 15)
}
}
// Computes the desired position in the array. This is just index % capacity,
// but a procedure as there's some math involved here to recover the capacity.
@(require_results)
map_desired_position :: #force_inline proc "contextless" (m: Raw_Map, hash: Map_Hash) -> uintptr {
// We do not use map_cap since we know the capacity will not be zero here.
capacity := uintptr(1) << map_log2_cap(m)
return uintptr(hash & Map_Hash(capacity - 1))
}
@(require_results)
map_probe_distance :: #force_inline proc "contextless" (m: Raw_Map, hash: Map_Hash, slot: uintptr) -> uintptr {
// We do not use map_cap since we know the capacity will not be zero here.
capacity := uintptr(1) << map_log2_cap(m)
return (slot + capacity - map_desired_position(m, hash)) & (capacity - 1)
}
// When working with the type-erased structure at runtime we need information
// about the map to make working with it possible. This info structure stores
// that.
//
// `Map_Info` and `Map_Cell_Info` are read only data structures and cannot be
// modified after creation
//
// 32-bytes on 64-bit
// 16-bytes on 32-bit
Map_Info :: struct {
ks: ^Map_Cell_Info, // 8-bytes on 64-bit, 4-bytes on 32-bit
vs: ^Map_Cell_Info, // 8-bytes on 64-bit, 4-bytes on 32-bit
key_hasher: proc "contextless" (key: rawptr, seed: Map_Hash) -> Map_Hash, // 8-bytes on 64-bit, 4-bytes on 32-bit
key_equal: proc "contextless" (lhs, rhs: rawptr) -> bool, // 8-bytes on 64-bit, 4-bytes on 32-bit
}
// The Map_Info structure is basically a pseudo-table of information for a given K and V pair.
// map_info :: proc "contextless" ($T: typeid/map[$K]$V) -> ^Map_Info {...}
map_info :: intrinsics.type_map_info
@(require_results)
map_kvh_data_dynamic :: proc "contextless" (m: Raw_Map, #no_alias info: ^Map_Info) -> (ks: uintptr, vs: uintptr, hs: [^]Map_Hash, sk: uintptr, sv: uintptr) {
INFO_HS := intrinsics.type_map_cell_info(Map_Hash)
capacity := uintptr(1) << map_log2_cap(m)
ks = map_data(m)
vs = map_cell_index_dynamic(ks, info.ks, capacity) // Skip past ks to get start of vs
hs_ := map_cell_index_dynamic(vs, info.vs, capacity) // Skip past vs to get start of hs
sk = map_cell_index_dynamic(hs_, INFO_HS, capacity) // Skip past hs to get start of sk
// Need to skip past two elements in the scratch key space to get to the start
// of the scratch value space, of which there's only two elements as well.
sv = map_cell_index_dynamic_const(sk, info.ks, 2)
hs = ([^]Map_Hash)(hs_)
return
}
@(require_results)
map_kvh_data_values_dynamic :: proc "contextless" (m: Raw_Map, #no_alias info: ^Map_Info) -> (vs: uintptr) {
capacity := uintptr(1) << map_log2_cap(m)
return map_cell_index_dynamic(map_data(m), info.ks, capacity) // Skip past ks to get start of vs
}
@(require_results)
map_total_allocation_size :: #force_inline proc "contextless" (capacity: uintptr, info: ^Map_Info) -> uintptr {
round :: #force_inline proc "contextless" (value: uintptr) -> uintptr {
CACHE_MASK :: MAP_CACHE_LINE_SIZE - 1
return (value + CACHE_MASK) &~ CACHE_MASK
}
INFO_HS := intrinsics.type_map_cell_info(Map_Hash)
size := uintptr(0)
size = round(map_cell_index_dynamic(size, info.ks, capacity))
size = round(map_cell_index_dynamic(size, info.vs, capacity))
size = round(map_cell_index_dynamic(size, INFO_HS, capacity))
size = round(map_cell_index_dynamic(size, info.ks, 2)) // Two additional ks for scratch storage
size = round(map_cell_index_dynamic(size, info.vs, 2)) // Two additional vs for scratch storage
return size
}
@(require_results)
map_total_allocation_size_from_value :: #force_inline proc "contextless" (m: $M/map[$K]$V) -> uintptr {
return map_total_allocation_size(uintptr(cap(m)), map_info(M))
}
// The only procedure which needs access to the context is the one which allocates the map.
@(require_results)
map_alloc_dynamic :: proc "odin" (info: ^Map_Info, log2_capacity: uintptr, allocator := context.allocator, loc := #caller_location) -> (result: Raw_Map, err: Allocator_Error) {
result.allocator = allocator // set the allocator always
if log2_capacity == 0 {
return
}
if log2_capacity >= 64 {
// Overflowed, would be caused by log2_capacity > 64
return {}, .Out_Of_Memory
}
capacity := uintptr(1) << max(log2_capacity, MAP_MIN_LOG2_CAPACITY)
CACHE_MASK :: MAP_CACHE_LINE_SIZE - 1
size := map_total_allocation_size(capacity, info)
data := mem_alloc_non_zeroed(int(size), MAP_CACHE_LINE_SIZE, allocator, loc) or_return
data_ptr := uintptr(raw_data(data))
if data_ptr == 0 {
err = .Out_Of_Memory
return
}
if intrinsics.expect(data_ptr & CACHE_MASK != 0, false) {
panic("allocation not aligned to a cache line", loc)
} else {
result.data = data_ptr | log2_capacity // Tagged pointer representation for capacity.
result.len = 0
map_clear_dynamic(&result, info)
}
return
}
// This procedure has to stack allocate storage to store local keys during the
// Robin Hood hashing technique where elements are swapped in the backing
// arrays to reduce variance. This swapping can only be done with memcpy since
// there is no type information.
//
// This procedure returns the address of the just inserted value, and will
// return 'nil' if there was no room to insert the entry
@(require_results)
map_insert_hash_dynamic_with_key :: proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, h: Map_Hash, ik: uintptr, iv: uintptr) -> (key: uintptr, result: uintptr) {
h := h
pos := map_desired_position(m^, h)
distance := uintptr(0)
mask := (uintptr(1) << map_log2_cap(m^)) - 1
ks, vs, hs, sk, sv := map_kvh_data_dynamic(m^, info)
// Avoid redundant loads of these values
size_of_k := info.ks.size_of_type
size_of_v := info.vs.size_of_type
k := map_cell_index_dynamic(sk, info.ks, 0)
v := map_cell_index_dynamic(sv, info.vs, 0)
intrinsics.mem_copy_non_overlapping(rawptr(k), rawptr(ik), size_of_k)
intrinsics.mem_copy_non_overlapping(rawptr(v), rawptr(iv), size_of_v)
// Temporary k and v dynamic storage for swap below
tk := map_cell_index_dynamic(sk, info.ks, 1)
tv := map_cell_index_dynamic(sv, info.vs, 1)
swap_loop: for {
if distance > mask {
// Failed to find an empty slot and prevent infinite loop
panic("unable to insert into a map")
}
element_hash := hs[pos]
if map_hash_is_empty(element_hash) {
k_dst := map_cell_index_dynamic(ks, info.ks, pos)
v_dst := map_cell_index_dynamic(vs, info.vs, pos)
intrinsics.mem_copy_non_overlapping(rawptr(k_dst), rawptr(k), size_of_k)
intrinsics.mem_copy_non_overlapping(rawptr(v_dst), rawptr(v), size_of_v)
hs[pos] = h
if result == 0 {
key = k_dst
result = v_dst
}
return
}
if map_hash_is_deleted(element_hash) {
break swap_loop
}
if probe_distance := map_probe_distance(m^, element_hash, pos); distance > probe_distance {
kp := map_cell_index_dynamic(ks, info.ks, pos)
vp := map_cell_index_dynamic(vs, info.vs, pos)
if result == 0 {
key = kp
result = vp
}
intrinsics.mem_copy_non_overlapping(rawptr(tk), rawptr(k), size_of_k)
intrinsics.mem_copy_non_overlapping(rawptr(k), rawptr(kp), size_of_k)
intrinsics.mem_copy_non_overlapping(rawptr(kp), rawptr(tk), size_of_k)
intrinsics.mem_copy_non_overlapping(rawptr(tv), rawptr(v), size_of_v)
intrinsics.mem_copy_non_overlapping(rawptr(v), rawptr(vp), size_of_v)
intrinsics.mem_copy_non_overlapping(rawptr(vp), rawptr(tv), size_of_v)
th := h
h = hs[pos]
hs[pos] = th
distance = probe_distance
}
pos = (pos + 1) & mask
distance += 1
}
// backward shift loop
hs[pos] = 0
look_ahead: uintptr = 1
for {
la_pos := (pos + look_ahead) & mask
element_hash := hs[la_pos]
if map_hash_is_deleted(element_hash) {
look_ahead += 1
hs[la_pos] = 0
continue
}
k_dst := map_cell_index_dynamic(ks, info.ks, pos)
v_dst := map_cell_index_dynamic(vs, info.vs, pos)
if map_hash_is_empty(element_hash) {
intrinsics.mem_copy_non_overlapping(rawptr(k_dst), rawptr(k), size_of_k)
intrinsics.mem_copy_non_overlapping(rawptr(v_dst), rawptr(v), size_of_v)
hs[pos] = h
if result == 0 {
key = k_dst
result = v_dst
}
return
}
k_src := map_cell_index_dynamic(ks, info.ks, la_pos)
v_src := map_cell_index_dynamic(vs, info.vs, la_pos)
probe_distance := map_probe_distance(m^, element_hash, la_pos)
if probe_distance < look_ahead {
// probed can be made ideal while placing saved (ending condition)
if result == 0 {
key = k_dst
result = v_dst
}
intrinsics.mem_copy_non_overlapping(rawptr(k_dst), rawptr(k), size_of_k)
intrinsics.mem_copy_non_overlapping(rawptr(v_dst), rawptr(v), size_of_v)
hs[pos] = h
// This will be an ideal move
pos = (la_pos - probe_distance) & mask
look_ahead -= probe_distance
// shift until we hit ideal/empty
for probe_distance != 0 {
k_dst = map_cell_index_dynamic(ks, info.ks, pos)
v_dst = map_cell_index_dynamic(vs, info.vs, pos)
intrinsics.mem_copy_non_overlapping(rawptr(k_dst), rawptr(k_src), size_of_k)
intrinsics.mem_copy_non_overlapping(rawptr(v_dst), rawptr(v_src), size_of_v)
hs[pos] = element_hash
hs[la_pos] = 0
pos = (pos + 1) & mask
la_pos = (la_pos + 1) & mask
look_ahead = (la_pos - pos) & mask
element_hash = hs[la_pos]
if map_hash_is_empty(element_hash) {
return
}
probe_distance = map_probe_distance(m^, element_hash, la_pos)
if probe_distance == 0 {
return
}
// can be ideal?
if probe_distance < look_ahead {
pos = (la_pos - probe_distance) & mask
}
k_src = map_cell_index_dynamic(ks, info.ks, la_pos)
v_src = map_cell_index_dynamic(vs, info.vs, la_pos)
}
return
} else if distance < probe_distance - look_ahead {
// shift back probed
intrinsics.mem_copy_non_overlapping(rawptr(k_dst), rawptr(k_src), size_of_k)
intrinsics.mem_copy_non_overlapping(rawptr(v_dst), rawptr(v_src), size_of_v)
hs[pos] = element_hash
hs[la_pos] = 0
} else {
// place saved, save probed
if result == 0 {
key = k_dst
result = v_dst
}
intrinsics.mem_copy_non_overlapping(rawptr(k_dst), rawptr(k), size_of_k)
intrinsics.mem_copy_non_overlapping(rawptr(v_dst), rawptr(v), size_of_v)
hs[pos] = h
intrinsics.mem_copy_non_overlapping(rawptr(k), rawptr(k_src), size_of_k)
intrinsics.mem_copy_non_overlapping(rawptr(v), rawptr(v_src), size_of_v)
h = hs[la_pos]
hs[la_pos] = 0
distance = probe_distance - look_ahead
}
pos = (pos + 1) & mask
distance += 1
}
}
@(require_results)
map_insert_hash_dynamic :: #force_inline proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, h: Map_Hash, ik: uintptr, iv: uintptr) -> (result: uintptr) {
_, result = map_insert_hash_dynamic_with_key(m, info, h, ik, iv)
return
}
@(require_results)
map_grow_dynamic :: proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, loc := #caller_location) -> Allocator_Error {
log2_capacity := map_log2_cap(m^)
new_capacity := uintptr(1) << max(log2_capacity + 1, MAP_MIN_LOG2_CAPACITY)
return map_reserve_dynamic(m, info, new_capacity, loc)
}
@(require_results)
map_reserve_dynamic :: #force_no_inline proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, new_capacity: uintptr, loc := #caller_location) -> Allocator_Error {
@(require_results)
ceil_log2 :: #force_inline proc "contextless" (x: uintptr) -> uintptr {
z := intrinsics.count_leading_zeros(x)
if z > 0 && x & (x-1) != 0 {
z -= 1
}
return size_of(uintptr)*8 - 1 - z
}
if m.allocator.procedure == nil {
m.allocator = context.allocator
}
new_capacity := new_capacity
old_capacity := uintptr(map_cap(m^))
if old_capacity >= new_capacity {
return nil
}
// ceiling nearest power of two
log2_new_capacity := ceil_log2(new_capacity)
log2_min_cap := max(MAP_MIN_LOG2_CAPACITY, log2_new_capacity)
if m.data == 0 {
m^ = map_alloc_dynamic(info, log2_min_cap, m.allocator, loc) or_return
return nil
}
resized := map_alloc_dynamic(info, log2_min_cap, m.allocator, loc) or_return
ks, vs, hs, _, _ := map_kvh_data_dynamic(m^, info)
// Cache these loads to avoid hitting them in the for loop.
n := m.len
for i in 0..<old_capacity {
hash := hs[i]
if map_hash_is_empty(hash) {
continue
}
if map_hash_is_deleted(hash) {
continue
}
k := map_cell_index_dynamic(ks, info.ks, i)
v := map_cell_index_dynamic(vs, info.vs, i)
hash = info.key_hasher(rawptr(k), map_seed(resized))
_ = map_insert_hash_dynamic(&resized, info, hash, k, v)
// Only need to do this comparison on each actually added pair, so do not
// fold it into the for loop comparator as a micro-optimization.
n -= 1
if n == 0 {
break
}
}
map_free_dynamic(m^, info, loc) or_return
m.data = resized.data
return nil
}
@(require_results)
map_shrink_dynamic :: #force_no_inline proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, loc := #caller_location) -> (did_shrink: bool, err: Allocator_Error) {
if m.allocator.procedure == nil {
m.allocator = context.allocator
}
// Cannot shrink the capacity if the number of items in the map would exceed
// one minus the current log2 capacity's resize threshold. That is the shrunk
// map needs to be within the max load factor.
log2_capacity := map_log2_cap(m^)
if uintptr(m.len) >= map_load_factor(log2_capacity - 1) {
return false, nil
}
shrunk := map_alloc_dynamic(info, log2_capacity - 1, m.allocator) or_return
capacity := uintptr(1) << log2_capacity
ks, vs, hs, _, _ := map_kvh_data_dynamic(m^, info)
n := m.len
for i in 0..<capacity {
hash := hs[i]
if map_hash_is_empty(hash) {
continue
}
if map_hash_is_deleted(hash) {
continue
}
k := map_cell_index_dynamic(ks, info.ks, i)
v := map_cell_index_dynamic(vs, info.vs, i)
hash = info.key_hasher(rawptr(k), map_seed(shrunk))
_ = map_insert_hash_dynamic(&shrunk, info, hash, k, v)
// Only need to do this comparison on each actually added pair, so do not
// fold it into the for loop comparator as a micro-optimization.
n -= 1
if n == 0 {
break
}
}
map_free_dynamic(m^, info, loc) or_return
m.data = shrunk.data
return true, nil
}
@(require_results)
map_free_dynamic :: #force_no_inline proc "odin" (m: Raw_Map, info: ^Map_Info, loc := #caller_location) -> Allocator_Error {
ptr := rawptr(map_data(m))
size := int(map_total_allocation_size(uintptr(map_cap(m)), info))
err := mem_free_with_size(ptr, size, m.allocator, loc)
#partial switch err {
case .None, .Mode_Not_Implemented:
return nil
}
return err
}
@(require_results)
map_lookup_dynamic :: #force_no_inline proc "contextless" (m: Raw_Map, #no_alias info: ^Map_Info, k: uintptr) -> (index: uintptr, ok: bool) {
if map_len(m) == 0 {
return 0, false
}
h := info.key_hasher(rawptr(k), map_seed(m))
p := map_desired_position(m, h)
d := uintptr(0)
c := (uintptr(1) << map_log2_cap(m)) - 1
ks, _, hs, _, _ := map_kvh_data_dynamic(m, info)
for {
element_hash := hs[p]
if map_hash_is_empty(element_hash) {
return 0, false
} else if d > map_probe_distance(m, element_hash, p) {
return 0, false
} else if element_hash == h && info.key_equal(rawptr(k), rawptr(map_cell_index_dynamic(ks, info.ks, p))) {
return p, true
}
p = (p + 1) & c
d += 1
}
}
@(require_results)
map_exists_dynamic :: #force_no_inline proc "contextless" (m: Raw_Map, #no_alias info: ^Map_Info, k: uintptr) -> (ok: bool) {
if map_len(m) == 0 {
return false
}
h := info.key_hasher(rawptr(k), map_seed(m))
p := map_desired_position(m, h)
d := uintptr(0)
c := (uintptr(1) << map_log2_cap(m)) - 1
ks, _, hs, _, _ := map_kvh_data_dynamic(m, info)
for {
element_hash := hs[p]
if map_hash_is_empty(element_hash) {
return false
} else if d > map_probe_distance(m, element_hash, p) {
return false
} else if element_hash == h && info.key_equal(rawptr(k), rawptr(map_cell_index_dynamic(ks, info.ks, p))) {
return true
}
p = (p + 1) & c
d += 1
}
}
@(require_results)
map_erase_dynamic :: #force_no_inline proc "contextless" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, k: uintptr) -> (old_k, old_v: uintptr, ok: bool) {
index := map_lookup_dynamic(m^, info, k) or_return
ks, vs, hs, _, _ := map_kvh_data_dynamic(m^, info)
hs[index] |= TOMBSTONE_MASK
old_k = map_cell_index_dynamic(ks, info.ks, index)
old_v = map_cell_index_dynamic(vs, info.vs, index)
m.len -= 1
ok = true
mask := (uintptr(1)<<map_log2_cap(m^)) - 1
curr_index := uintptr(index)
next_index := (curr_index + 1) & mask
// if the next element is empty or has zero probe distance, then any lookup
// will always fail on the next, so we can clear both of them
hash := hs[next_index]
if map_hash_is_empty(hash) || map_probe_distance(m^, hash, next_index) == 0 {
hs[curr_index] = 0
} else {
hs[curr_index] |= TOMBSTONE_MASK
}
return
}
map_clear_dynamic :: #force_inline proc "contextless" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info) {
if m.data == 0 {
return
}
_, _, hs, _, _ := map_kvh_data_dynamic(m^, info)
intrinsics.mem_zero(rawptr(hs), map_cap(m^) * size_of(Map_Hash))
m.len = 0
}
@(require_results)
map_kvh_data_static :: #force_inline proc "contextless" (m: $T/map[$K]$V) -> (ks: [^]Map_Cell(K), vs: [^]Map_Cell(V), hs: [^]Map_Hash) {
capacity := uintptr(cap(m))
ks = ([^]Map_Cell(K))(map_data(transmute(Raw_Map)m))
vs = ([^]Map_Cell(V))(map_cell_index_static(ks, capacity))
hs = ([^]Map_Hash)(map_cell_index_static(vs, capacity))
return
}
@(require_results)
map_get :: proc "contextless" (m: $T/map[$K]$V, key: K) -> (stored_key: K, stored_value: V, ok: bool) {
rm := transmute(Raw_Map)m
if rm.len == 0 {
return
}
info := intrinsics.type_map_info(T)
key := key
h := info.key_hasher(&key, map_seed(rm))
pos := map_desired_position(rm, h)
distance := uintptr(0)
mask := (uintptr(1) << map_log2_cap(rm)) - 1
ks, vs, hs := map_kvh_data_static(m)
for {
element_hash := hs[pos]
if map_hash_is_empty(element_hash) {
return
} else if distance > map_probe_distance(rm, element_hash, pos) {
return
} else if element_hash == h {
element_key := map_cell_index_static(ks, pos)
if info.key_equal(&key, rawptr(element_key)) {
element_value := map_cell_index_static(vs, pos)
stored_key = (^K)(element_key)^
stored_value = (^V)(element_value)^
ok = true
return
}
}
pos = (pos + 1) & mask
distance += 1
}
}
// IMPORTANT: USED WITHIN THE COMPILER
__dynamic_map_get :: proc "contextless" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, h: Map_Hash, key: rawptr) -> (ptr: rawptr) {
if m.len == 0 {
return nil
}
pos := map_desired_position(m^, h)
distance := uintptr(0)
mask := (uintptr(1) << map_log2_cap(m^)) - 1
ks, vs, hs, _, _ := map_kvh_data_dynamic(m^, info)
for {
element_hash := hs[pos]
if map_hash_is_empty(element_hash) {
return nil
} else if distance > map_probe_distance(m^, element_hash, pos) {
return nil
} else if element_hash == h && info.key_equal(key, rawptr(map_cell_index_dynamic(ks, info.ks, pos))) {
return rawptr(map_cell_index_dynamic(vs, info.vs, pos))
}
pos = (pos + 1) & mask
distance += 1
}
}
__dynamic_map_get_key_and_value :: proc "contextless" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, h: Map_Hash, key: rawptr) -> (key_ptr, value_ptr: rawptr) {
if m.len == 0 {
return nil, nil
}
pos := map_desired_position(m^, h)
distance := uintptr(0)
mask := (uintptr(1) << map_log2_cap(m^)) - 1
ks, vs, hs, _, _ := map_kvh_data_dynamic(m^, info)
for {
element_hash := hs[pos]
if map_hash_is_empty(element_hash) {
return nil, nil
} else if distance > map_probe_distance(m^, element_hash, pos) {
return nil, nil
} else if element_hash == h {
other_key := rawptr(map_cell_index_dynamic(ks, info.ks, pos))
if info.key_equal(key, other_key) {
key_ptr = other_key
value_ptr = rawptr(map_cell_index_dynamic(vs, info.vs, pos))
return
}
}
pos = (pos + 1) & mask
distance += 1
}
}
// IMPORTANT: USED WITHIN THE COMPILER
__dynamic_map_check_grow :: proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, loc := #caller_location) -> (err: Allocator_Error, has_grown: bool) {
if m.len >= map_resize_threshold(m^) {
return map_grow_dynamic(m, info, loc), true
}
return nil, false
}
__dynamic_map_set_without_hash :: proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, key, value: rawptr, loc := #caller_location) -> rawptr {
return __dynamic_map_set(m, info, info.key_hasher(key, map_seed(m^)), key, value, loc)
}
// IMPORTANT: USED WITHIN THE COMPILER
__dynamic_map_set :: proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, hash: Map_Hash, key, value: rawptr, loc := #caller_location) -> rawptr {
if found := __dynamic_map_get(m, info, hash, key); found != nil {
intrinsics.mem_copy_non_overlapping(found, value, info.vs.size_of_type)
return found
}
hash := hash
err, has_grown := __dynamic_map_check_grow(m, info, loc)
if err != nil {
return nil
}
if has_grown {
hash = info.key_hasher(key, map_seed(m^))
}
result := map_insert_hash_dynamic(m, info, hash, uintptr(key), uintptr(value))
if result != 0 {
m.len += 1
}
return rawptr(result)
}
__dynamic_map_set_extra_without_hash :: proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, key, value: rawptr, loc := #caller_location) -> (prev_key_ptr, value_ptr: rawptr) {
return __dynamic_map_set_extra(m, info, info.key_hasher(key, map_seed(m^)), key, value, loc)
}
__dynamic_map_set_extra :: proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, hash: Map_Hash, key, value: rawptr, loc := #caller_location) -> (prev_key_ptr, value_ptr: rawptr) {
if prev_key_ptr, value_ptr = __dynamic_map_get_key_and_value(m, info, hash, key); value_ptr != nil {
intrinsics.mem_copy_non_overlapping(value_ptr, value, info.vs.size_of_type)
return
}
hash := hash
err, has_grown := __dynamic_map_check_grow(m, info, loc)
if err != nil {
return nil, nil
}
if has_grown {
hash = info.key_hasher(key, map_seed(m^))
}
result := map_insert_hash_dynamic(m, info, hash, uintptr(key), uintptr(value))
if result != 0 {
m.len += 1
}
return nil, rawptr(result)
}
__dynamic_map_entry :: proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, key: rawptr, zero: rawptr, loc := #caller_location) -> (key_ptr: rawptr, value_ptr: rawptr, just_inserted: bool, err: Allocator_Error) {
hash := info.key_hasher(key, map_seed(m^))
if key_ptr, value_ptr = __dynamic_map_get_key_and_value(m, info, hash, key); value_ptr != nil {
return
}
has_grown: bool
if err, has_grown = __dynamic_map_check_grow(m, info, loc); err != nil {
return
} else if has_grown {
hash = info.key_hasher(key, map_seed(m^))
}
kp, vp := map_insert_hash_dynamic_with_key(m, info, hash, uintptr(key), uintptr(zero))
key_ptr = rawptr(kp)
value_ptr = rawptr(vp)
m.len += 1
just_inserted = true
return
}
// IMPORTANT: USED WITHIN THE COMPILER
@(private)
__dynamic_map_reserve :: proc "odin" (#no_alias m: ^Raw_Map, #no_alias info: ^Map_Info, new_capacity: uint, loc := #caller_location) -> Allocator_Error {
if m == nil {
return nil
}
return map_reserve_dynamic(m, info, uintptr(new_capacity), loc)
}
// NOTE: the default hashing algorithm derives from fnv64a, with some minor modifications to work for `map` type:
//
// * Convert a `0` result to `1`
// * "empty entry"
// * Prevent the top bit from being set
// * "deleted entry"
//
// Both of these modification are necessary for the implementation of the `map`
INITIAL_HASH_SEED :: 0xcbf29ce484222325
HASH_MASK :: 1 << (8*size_of(uintptr) - 1) -1
default_hasher :: #force_inline proc "contextless" (data: rawptr, seed: uintptr, N: int) -> uintptr {
h := u64(seed) + INITIAL_HASH_SEED
p := ([^]byte)(data)
for _ in 0..<N {
h = (h ~ u64(p[0])) * 0x100000001b3
p = p[1:]
}
h &= HASH_MASK
return uintptr(h) | uintptr(uintptr(h) == 0)
}
default_hasher_string :: proc "contextless" (data: rawptr, seed: uintptr) -> uintptr {
str := (^[]byte)(data)
return default_hasher(raw_data(str^), seed, len(str))
}
default_hasher_cstring :: proc "contextless" (data: rawptr, seed: uintptr) -> uintptr {
h := u64(seed) + INITIAL_HASH_SEED
if ptr := (^[^]byte)(data)^; ptr != nil {
for ptr[0] != 0 {
h = (h ~ u64(ptr[0])) * 0x100000001b3
ptr = ptr[1:]
}
}
h &= HASH_MASK
return uintptr(h) | uintptr(uintptr(h) == 0)
}
default_hasher_f64 :: proc "contextless" (f: f64, seed: uintptr) -> uintptr {
f := f
buf: [size_of(f)]u8
if f == 0 {
return default_hasher(&buf, seed, size_of(buf))
}
if f != f {
// TODO(bill): What should the logic be for NaNs?
return default_hasher(&f, seed, size_of(f))
}
return default_hasher(&f, seed, size_of(f))
}
default_hasher_complex128 :: proc "contextless" (x, y: f64, seed: uintptr) -> uintptr {
seed := seed
seed = default_hasher_f64(x, seed)
seed = default_hasher_f64(y, seed)
return seed
}
default_hasher_quaternion256 :: proc "contextless" (x, y, z, w: f64, seed: uintptr) -> uintptr {
seed := seed
seed = default_hasher_f64(x, seed)
seed = default_hasher_f64(y, seed)
seed = default_hasher_f64(z, seed)
seed = default_hasher_f64(w, seed)
return seed
}