mirror of
https://github.com/MetaCubeX/mihomo.git
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chore: upgrade and embed the xsync.Map to v4
This commit is contained in:
915
common/xsync/map.go
Normal file
915
common/xsync/map.go
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@@ -0,0 +1,915 @@
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package xsync
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// copy and modified from https://github.com/puzpuzpuz/xsync/blob/v4.1.0/map.go
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// which is licensed under Apache v2.
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//
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// parallel Map resize has been removed to decrease the memory using
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import (
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"fmt"
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"math"
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"math/bits"
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"strings"
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"sync"
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"sync/atomic"
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"unsafe"
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"github.com/metacubex/mihomo/common/maphash"
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)
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const (
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// number of Map entries per bucket; 5 entries lead to size of 64B
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// (one cache line) on 64-bit machines
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entriesPerMapBucket = 5
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// threshold fraction of table occupation to start a table shrinking
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// when deleting the last entry in a bucket chain
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mapShrinkFraction = 128
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// map load factor to trigger a table resize during insertion;
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// a map holds up to mapLoadFactor*entriesPerMapBucket*mapTableLen
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// key-value pairs (this is a soft limit)
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mapLoadFactor = 0.75
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// minimal table size, i.e. number of buckets; thus, minimal map
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// capacity can be calculated as entriesPerMapBucket*defaultMinMapTableLen
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defaultMinMapTableLen = 32
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// minimum counter stripes to use
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minMapCounterLen = 8
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// maximum counter stripes to use; stands for around 4KB of memory
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maxMapCounterLen = 32
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defaultMeta uint64 = 0x8080808080808080
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metaMask uint64 = 0xffffffffff
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defaultMetaMasked uint64 = defaultMeta & metaMask
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emptyMetaSlot uint8 = 0x80
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)
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type mapResizeHint int
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const (
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mapGrowHint mapResizeHint = 0
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mapShrinkHint mapResizeHint = 1
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mapClearHint mapResizeHint = 2
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)
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type ComputeOp int
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const (
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// CancelOp signals to Compute to not do anything as a result
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// of executing the lambda. If the entry was not present in
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// the map, nothing happens, and if it was present, the
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// returned value is ignored.
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CancelOp ComputeOp = iota
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// UpdateOp signals to Compute to update the entry to the
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// value returned by the lambda, creating it if necessary.
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UpdateOp
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// DeleteOp signals to Compute to always delete the entry
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// from the map.
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DeleteOp
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)
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type loadOp int
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const (
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noLoadOp loadOp = iota
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loadOrComputeOp
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loadAndDeleteOp
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)
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// Map is like a Go map[K]V but is safe for concurrent
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// use by multiple goroutines without additional locking or
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// coordination. It follows the interface of sync.Map with
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// a number of valuable extensions like Compute or Size.
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//
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// A Map must not be copied after first use.
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//
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// Map uses a modified version of Cache-Line Hash Table (CLHT)
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// data structure: https://github.com/LPD-EPFL/CLHT
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//
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// CLHT is built around idea to organize the hash table in
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// cache-line-sized buckets, so that on all modern CPUs update
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// operations complete with at most one cache-line transfer.
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// Also, Get operations involve no write to memory, as well as no
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// mutexes or any other sort of locks. Due to this design, in all
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// considered scenarios Map outperforms sync.Map.
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//
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// Map also borrows ideas from Java's j.u.c.ConcurrentHashMap
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// (immutable K/V pair structs instead of atomic snapshots)
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// and C++'s absl::flat_hash_map (meta memory and SWAR-based
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// lookups).
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type Map[K comparable, V any] struct {
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totalGrowths atomic.Int64
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totalShrinks atomic.Int64
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resizing atomic.Bool // resize in progress flag
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resizeMu sync.Mutex // only used along with resizeCond
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resizeCond sync.Cond // used to wake up resize waiters (concurrent modifications)
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table atomic.Pointer[mapTable[K, V]]
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minTableLen int
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growOnly bool
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}
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type mapTable[K comparable, V any] struct {
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buckets []bucketPadded[K, V]
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// striped counter for number of table entries;
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// used to determine if a table shrinking is needed
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// occupies min(buckets_memory/1024, 64KB) of memory
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size []counterStripe
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seed maphash.Seed
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}
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type counterStripe struct {
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c int64
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// Padding to prevent false sharing.
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_ [cacheLineSize - 8]byte
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}
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// bucketPadded is a CL-sized map bucket holding up to
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// entriesPerMapBucket entries.
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type bucketPadded[K comparable, V any] struct {
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//lint:ignore U1000 ensure each bucket takes two cache lines on both 32 and 64-bit archs
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pad [cacheLineSize - unsafe.Sizeof(bucket[K, V]{})]byte
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bucket[K, V]
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}
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type bucket[K comparable, V any] struct {
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meta atomic.Uint64
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entries [entriesPerMapBucket]atomic.Pointer[entry[K, V]] // *entry
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next atomic.Pointer[bucketPadded[K, V]] // *bucketPadded
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mu sync.Mutex
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}
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// entry is an immutable map entry.
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type entry[K comparable, V any] struct {
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key K
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value V
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}
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// MapConfig defines configurable Map options.
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type MapConfig struct {
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sizeHint int
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growOnly bool
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}
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// WithPresize configures new Map instance with capacity enough
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// to hold sizeHint entries. The capacity is treated as the minimal
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// capacity meaning that the underlying hash table will never shrink
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// to a smaller capacity. If sizeHint is zero or negative, the value
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// is ignored.
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func WithPresize(sizeHint int) func(*MapConfig) {
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return func(c *MapConfig) {
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c.sizeHint = sizeHint
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}
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}
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// WithGrowOnly configures new Map instance to be grow-only.
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// This means that the underlying hash table grows in capacity when
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// new keys are added, but does not shrink when keys are deleted.
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// The only exception to this rule is the Clear method which
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// shrinks the hash table back to the initial capacity.
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func WithGrowOnly() func(*MapConfig) {
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return func(c *MapConfig) {
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c.growOnly = true
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}
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}
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// NewMap creates a new Map instance configured with the given
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// options.
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func NewMap[K comparable, V any](options ...func(*MapConfig)) *Map[K, V] {
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c := &MapConfig{
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sizeHint: defaultMinMapTableLen * entriesPerMapBucket,
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}
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for _, o := range options {
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o(c)
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}
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m := &Map[K, V]{}
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m.resizeCond = *sync.NewCond(&m.resizeMu)
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var table *mapTable[K, V]
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if c.sizeHint <= defaultMinMapTableLen*entriesPerMapBucket {
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table = newMapTable[K, V](defaultMinMapTableLen)
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} else {
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tableLen := nextPowOf2(uint32((float64(c.sizeHint) / entriesPerMapBucket) / mapLoadFactor))
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table = newMapTable[K, V](int(tableLen))
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}
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m.minTableLen = len(table.buckets)
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m.growOnly = c.growOnly
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m.table.Store(table)
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return m
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}
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func newMapTable[K comparable, V any](minTableLen int) *mapTable[K, V] {
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buckets := make([]bucketPadded[K, V], minTableLen)
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for i := range buckets {
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buckets[i].meta.Store(defaultMeta)
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}
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counterLen := minTableLen >> 10
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if counterLen < minMapCounterLen {
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counterLen = minMapCounterLen
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} else if counterLen > maxMapCounterLen {
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counterLen = maxMapCounterLen
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}
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counter := make([]counterStripe, counterLen)
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t := &mapTable[K, V]{
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buckets: buckets,
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size: counter,
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seed: maphash.MakeSeed(),
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}
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return t
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}
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// ToPlainMap returns a native map with a copy of xsync Map's
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// contents. The copied xsync Map should not be modified while
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// this call is made. If the copied Map is modified, the copying
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// behavior is the same as in the Range method.
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func ToPlainMap[K comparable, V any](m *Map[K, V]) map[K]V {
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pm := make(map[K]V)
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if m != nil {
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m.Range(func(key K, value V) bool {
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pm[key] = value
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return true
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})
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}
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return pm
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}
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// Load returns the value stored in the map for a key, or zero value
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// of type V if no value is present.
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// The ok result indicates whether value was found in the map.
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func (m *Map[K, V]) Load(key K) (value V, ok bool) {
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table := m.table.Load()
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hash := maphash.Comparable(table.seed, key)
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h1 := h1(hash)
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h2w := broadcast(h2(hash))
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bidx := uint64(len(table.buckets)-1) & h1
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b := &table.buckets[bidx]
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for {
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metaw := b.meta.Load()
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markedw := markZeroBytes(metaw^h2w) & metaMask
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for markedw != 0 {
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idx := firstMarkedByteIndex(markedw)
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e := b.entries[idx].Load()
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if e != nil {
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if e.key == key {
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return e.value, true
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}
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}
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markedw &= markedw - 1
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}
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b = b.next.Load()
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if b == nil {
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return
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}
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}
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}
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// Store sets the value for a key.
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func (m *Map[K, V]) Store(key K, value V) {
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m.doCompute(
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key,
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func(V, bool) (V, ComputeOp) {
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return value, UpdateOp
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},
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noLoadOp,
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false,
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)
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}
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// LoadOrStore returns the existing value for the key if present.
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// Otherwise, it stores and returns the given value.
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// The loaded result is true if the value was loaded, false if stored.
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func (m *Map[K, V]) LoadOrStore(key K, value V) (actual V, loaded bool) {
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return m.doCompute(
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key,
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func(oldValue V, loaded bool) (V, ComputeOp) {
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if loaded {
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return oldValue, CancelOp
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}
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return value, UpdateOp
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},
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loadOrComputeOp,
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false,
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)
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}
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// LoadAndStore returns the existing value for the key if present,
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// while setting the new value for the key.
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// It stores the new value and returns the existing one, if present.
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// The loaded result is true if the existing value was loaded,
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// false otherwise.
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func (m *Map[K, V]) LoadAndStore(key K, value V) (actual V, loaded bool) {
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return m.doCompute(
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key,
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func(V, bool) (V, ComputeOp) {
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return value, UpdateOp
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},
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noLoadOp,
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false,
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)
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}
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// LoadOrCompute returns the existing value for the key if
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// present. Otherwise, it tries to compute the value using the
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// provided function and, if successful, stores and returns
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// the computed value. The loaded result is true if the value was
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// loaded, or false if computed. If valueFn returns true as the
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// cancel value, the computation is cancelled and the zero value
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// for type V is returned.
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//
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// This call locks a hash table bucket while the compute function
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// is executed. It means that modifications on other entries in
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// the bucket will be blocked until the valueFn executes. Consider
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// this when the function includes long-running operations.
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func (m *Map[K, V]) LoadOrCompute(
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key K,
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valueFn func() (newValue V, cancel bool),
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) (value V, loaded bool) {
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return m.doCompute(
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key,
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func(oldValue V, loaded bool) (V, ComputeOp) {
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if loaded {
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return oldValue, CancelOp
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}
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newValue, c := valueFn()
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if !c {
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return newValue, UpdateOp
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}
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return oldValue, CancelOp
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},
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loadOrComputeOp,
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false,
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)
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}
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// Compute either sets the computed new value for the key,
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// deletes the value for the key, or does nothing, based on
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// the returned [ComputeOp]. When the op returned by valueFn
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// is [UpdateOp], the value is updated to the new value. If
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// it is [DeleteOp], the entry is removed from the map
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// altogether. And finally, if the op is [CancelOp] then the
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// entry is left as-is. In other words, if it did not already
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// exist, it is not created, and if it did exist, it is not
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// updated. This is useful to synchronously execute some
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// operation on the value without incurring the cost of
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// updating the map every time. The ok result indicates
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// whether the entry is present in the map after the compute
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// operation. The actual result contains the value of the map
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// if a corresponding entry is present, or the zero value
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// otherwise. See the example for a few use cases.
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//
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// This call locks a hash table bucket while the compute function
|
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// is executed. It means that modifications on other entries in
|
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// the bucket will be blocked until the valueFn executes. Consider
|
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// this when the function includes long-running operations.
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func (m *Map[K, V]) Compute(
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key K,
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valueFn func(oldValue V, loaded bool) (newValue V, op ComputeOp),
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) (actual V, ok bool) {
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return m.doCompute(key, valueFn, noLoadOp, true)
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}
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// LoadAndDelete deletes the value for a key, returning the previous
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// value if any. The loaded result reports whether the key was
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// present.
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func (m *Map[K, V]) LoadAndDelete(key K) (value V, loaded bool) {
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return m.doCompute(
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key,
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func(value V, loaded bool) (V, ComputeOp) {
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return value, DeleteOp
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},
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loadAndDeleteOp,
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false,
|
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)
|
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}
|
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|
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// Delete deletes the value for a key.
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func (m *Map[K, V]) Delete(key K) {
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m.LoadAndDelete(key)
|
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}
|
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|
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func (m *Map[K, V]) doCompute(
|
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key K,
|
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valueFn func(oldValue V, loaded bool) (V, ComputeOp),
|
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loadOp loadOp,
|
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computeOnly bool,
|
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) (V, bool) {
|
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for {
|
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compute_attempt:
|
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var (
|
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emptyb *bucketPadded[K, V]
|
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emptyidx int
|
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)
|
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table := m.table.Load()
|
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tableLen := len(table.buckets)
|
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hash := maphash.Comparable(table.seed, key)
|
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h1 := h1(hash)
|
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h2 := h2(hash)
|
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h2w := broadcast(h2)
|
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bidx := uint64(len(table.buckets)-1) & h1
|
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rootb := &table.buckets[bidx]
|
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|
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if loadOp != noLoadOp {
|
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b := rootb
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load:
|
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for {
|
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metaw := b.meta.Load()
|
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markedw := markZeroBytes(metaw^h2w) & metaMask
|
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for markedw != 0 {
|
||||
idx := firstMarkedByteIndex(markedw)
|
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e := b.entries[idx].Load()
|
||||
if e != nil {
|
||||
if e.key == key {
|
||||
if loadOp == loadOrComputeOp {
|
||||
return e.value, true
|
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}
|
||||
break load
|
||||
}
|
||||
}
|
||||
markedw &= markedw - 1
|
||||
}
|
||||
b = b.next.Load()
|
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if b == nil {
|
||||
if loadOp == loadAndDeleteOp {
|
||||
return *new(V), false
|
||||
}
|
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break load
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
rootb.mu.Lock()
|
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// The following two checks must go in reverse to what's
|
||||
// in the resize method.
|
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if m.resizeInProgress() {
|
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// Resize is in progress. Wait, then go for another attempt.
|
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rootb.mu.Unlock()
|
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m.waitForResize()
|
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goto compute_attempt
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}
|
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if m.newerTableExists(table) {
|
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// Someone resized the table. Go for another attempt.
|
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rootb.mu.Unlock()
|
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goto compute_attempt
|
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}
|
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b := rootb
|
||||
for {
|
||||
metaw := b.meta.Load()
|
||||
markedw := markZeroBytes(metaw^h2w) & metaMask
|
||||
for markedw != 0 {
|
||||
idx := firstMarkedByteIndex(markedw)
|
||||
e := b.entries[idx].Load()
|
||||
if e != nil {
|
||||
if e.key == key {
|
||||
// In-place update/delete.
|
||||
// We get a copy of the value via an interface{} on each call,
|
||||
// thus the live value pointers are unique. Otherwise atomic
|
||||
// snapshot won't be correct in case of multiple Store calls
|
||||
// using the same value.
|
||||
oldv := e.value
|
||||
newv, op := valueFn(oldv, true)
|
||||
switch op {
|
||||
case DeleteOp:
|
||||
// Deletion.
|
||||
// First we update the hash, then the entry.
|
||||
newmetaw := setByte(metaw, emptyMetaSlot, idx)
|
||||
b.meta.Store(newmetaw)
|
||||
b.entries[idx].Store(nil)
|
||||
rootb.mu.Unlock()
|
||||
table.addSize(bidx, -1)
|
||||
// Might need to shrink the table if we left bucket empty.
|
||||
if newmetaw == defaultMeta {
|
||||
m.resize(table, mapShrinkHint)
|
||||
}
|
||||
return oldv, !computeOnly
|
||||
case UpdateOp:
|
||||
newe := new(entry[K, V])
|
||||
newe.key = key
|
||||
newe.value = newv
|
||||
b.entries[idx].Store(newe)
|
||||
case CancelOp:
|
||||
newv = oldv
|
||||
}
|
||||
rootb.mu.Unlock()
|
||||
if computeOnly {
|
||||
// Compute expects the new value to be returned.
|
||||
return newv, true
|
||||
}
|
||||
// LoadAndStore expects the old value to be returned.
|
||||
return oldv, true
|
||||
}
|
||||
}
|
||||
markedw &= markedw - 1
|
||||
}
|
||||
if emptyb == nil {
|
||||
// Search for empty entries (up to 5 per bucket).
|
||||
emptyw := metaw & defaultMetaMasked
|
||||
if emptyw != 0 {
|
||||
idx := firstMarkedByteIndex(emptyw)
|
||||
emptyb = b
|
||||
emptyidx = idx
|
||||
}
|
||||
}
|
||||
if b.next.Load() == nil {
|
||||
if emptyb != nil {
|
||||
// Insertion into an existing bucket.
|
||||
var zeroV V
|
||||
newValue, op := valueFn(zeroV, false)
|
||||
switch op {
|
||||
case DeleteOp, CancelOp:
|
||||
rootb.mu.Unlock()
|
||||
return zeroV, false
|
||||
default:
|
||||
newe := new(entry[K, V])
|
||||
newe.key = key
|
||||
newe.value = newValue
|
||||
// First we update meta, then the entry.
|
||||
emptyb.meta.Store(setByte(emptyb.meta.Load(), h2, emptyidx))
|
||||
emptyb.entries[emptyidx].Store(newe)
|
||||
rootb.mu.Unlock()
|
||||
table.addSize(bidx, 1)
|
||||
return newValue, computeOnly
|
||||
}
|
||||
}
|
||||
growThreshold := float64(tableLen) * entriesPerMapBucket * mapLoadFactor
|
||||
if table.sumSize() > int64(growThreshold) {
|
||||
// Need to grow the table. Then go for another attempt.
|
||||
rootb.mu.Unlock()
|
||||
m.resize(table, mapGrowHint)
|
||||
goto compute_attempt
|
||||
}
|
||||
// Insertion into a new bucket.
|
||||
var zeroV V
|
||||
newValue, op := valueFn(zeroV, false)
|
||||
switch op {
|
||||
case DeleteOp, CancelOp:
|
||||
rootb.mu.Unlock()
|
||||
return newValue, false
|
||||
default:
|
||||
// Create and append a bucket.
|
||||
newb := new(bucketPadded[K, V])
|
||||
newb.meta.Store(setByte(defaultMeta, h2, 0))
|
||||
newe := new(entry[K, V])
|
||||
newe.key = key
|
||||
newe.value = newValue
|
||||
newb.entries[0].Store(newe)
|
||||
b.next.Store(newb)
|
||||
rootb.mu.Unlock()
|
||||
table.addSize(bidx, 1)
|
||||
return newValue, computeOnly
|
||||
}
|
||||
}
|
||||
b = b.next.Load()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func (m *Map[K, V]) newerTableExists(table *mapTable[K, V]) bool {
|
||||
return table != m.table.Load()
|
||||
}
|
||||
|
||||
func (m *Map[K, V]) resizeInProgress() bool {
|
||||
return m.resizing.Load()
|
||||
}
|
||||
|
||||
func (m *Map[K, V]) waitForResize() {
|
||||
m.resizeMu.Lock()
|
||||
for m.resizeInProgress() {
|
||||
m.resizeCond.Wait()
|
||||
}
|
||||
m.resizeMu.Unlock()
|
||||
}
|
||||
|
||||
func (m *Map[K, V]) resize(knownTable *mapTable[K, V], hint mapResizeHint) {
|
||||
knownTableLen := len(knownTable.buckets)
|
||||
// Fast path for shrink attempts.
|
||||
if hint == mapShrinkHint {
|
||||
if m.growOnly ||
|
||||
m.minTableLen == knownTableLen ||
|
||||
knownTable.sumSize() > int64((knownTableLen*entriesPerMapBucket)/mapShrinkFraction) {
|
||||
return
|
||||
}
|
||||
}
|
||||
// Slow path.
|
||||
if !m.resizing.CompareAndSwap(false, true) {
|
||||
// Someone else started resize. Wait for it to finish.
|
||||
m.waitForResize()
|
||||
return
|
||||
}
|
||||
var newTable *mapTable[K, V]
|
||||
table := m.table.Load()
|
||||
tableLen := len(table.buckets)
|
||||
switch hint {
|
||||
case mapGrowHint:
|
||||
// Grow the table with factor of 2.
|
||||
m.totalGrowths.Add(1)
|
||||
newTable = newMapTable[K, V](tableLen << 1)
|
||||
case mapShrinkHint:
|
||||
shrinkThreshold := int64((tableLen * entriesPerMapBucket) / mapShrinkFraction)
|
||||
if tableLen > m.minTableLen && table.sumSize() <= shrinkThreshold {
|
||||
// Shrink the table with factor of 2.
|
||||
m.totalShrinks.Add(1)
|
||||
newTable = newMapTable[K, V](tableLen >> 1)
|
||||
} else {
|
||||
// No need to shrink. Wake up all waiters and give up.
|
||||
m.resizeMu.Lock()
|
||||
m.resizing.Store(false)
|
||||
m.resizeCond.Broadcast()
|
||||
m.resizeMu.Unlock()
|
||||
return
|
||||
}
|
||||
case mapClearHint:
|
||||
newTable = newMapTable[K, V](m.minTableLen)
|
||||
default:
|
||||
panic(fmt.Sprintf("unexpected resize hint: %d", hint))
|
||||
}
|
||||
// Copy the data only if we're not clearing the map.
|
||||
if hint != mapClearHint {
|
||||
for i := 0; i < tableLen; i++ {
|
||||
copied := copyBucket(&table.buckets[i], newTable)
|
||||
newTable.addSizePlain(uint64(i), copied)
|
||||
}
|
||||
}
|
||||
// Publish the new table and wake up all waiters.
|
||||
m.table.Store(newTable)
|
||||
m.resizeMu.Lock()
|
||||
m.resizing.Store(false)
|
||||
m.resizeCond.Broadcast()
|
||||
m.resizeMu.Unlock()
|
||||
}
|
||||
|
||||
func copyBucket[K comparable, V any](
|
||||
b *bucketPadded[K, V],
|
||||
destTable *mapTable[K, V],
|
||||
) (copied int) {
|
||||
rootb := b
|
||||
rootb.mu.Lock()
|
||||
for {
|
||||
for i := 0; i < entriesPerMapBucket; i++ {
|
||||
if e := b.entries[i].Load(); e != nil {
|
||||
hash := maphash.Comparable(destTable.seed, e.key)
|
||||
bidx := uint64(len(destTable.buckets)-1) & h1(hash)
|
||||
destb := &destTable.buckets[bidx]
|
||||
appendToBucket(h2(hash), b.entries[i].Load(), destb)
|
||||
copied++
|
||||
}
|
||||
}
|
||||
if next := b.next.Load(); next == nil {
|
||||
rootb.mu.Unlock()
|
||||
return
|
||||
} else {
|
||||
b = next
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Range calls f sequentially for each key and value present in the
|
||||
// map. If f returns false, range stops the iteration.
|
||||
//
|
||||
// Range does not necessarily correspond to any consistent snapshot
|
||||
// of the Map's contents: no key will be visited more than once, but
|
||||
// if the value for any key is stored or deleted concurrently, Range
|
||||
// may reflect any mapping for that key from any point during the
|
||||
// Range call.
|
||||
//
|
||||
// It is safe to modify the map while iterating it, including entry
|
||||
// creation, modification and deletion. However, the concurrent
|
||||
// modification rule apply, i.e. the changes may be not reflected
|
||||
// in the subsequently iterated entries.
|
||||
func (m *Map[K, V]) Range(f func(key K, value V) bool) {
|
||||
// Pre-allocate array big enough to fit entries for most hash tables.
|
||||
bentries := make([]*entry[K, V], 0, 16*entriesPerMapBucket)
|
||||
table := m.table.Load()
|
||||
for i := range table.buckets {
|
||||
rootb := &table.buckets[i]
|
||||
b := rootb
|
||||
// Prevent concurrent modifications and copy all entries into
|
||||
// the intermediate slice.
|
||||
rootb.mu.Lock()
|
||||
for {
|
||||
for i := 0; i < entriesPerMapBucket; i++ {
|
||||
if entry := b.entries[i].Load(); entry != nil {
|
||||
bentries = append(bentries, entry)
|
||||
}
|
||||
}
|
||||
if next := b.next.Load(); next == nil {
|
||||
rootb.mu.Unlock()
|
||||
break
|
||||
} else {
|
||||
b = next
|
||||
}
|
||||
}
|
||||
// Call the function for all copied entries.
|
||||
for j, e := range bentries {
|
||||
if !f(e.key, e.value) {
|
||||
return
|
||||
}
|
||||
// Remove the reference to avoid preventing the copied
|
||||
// entries from being GCed until this method finishes.
|
||||
bentries[j] = nil
|
||||
}
|
||||
bentries = bentries[:0]
|
||||
}
|
||||
}
|
||||
|
||||
// Clear deletes all keys and values currently stored in the map.
|
||||
func (m *Map[K, V]) Clear() {
|
||||
m.resize(m.table.Load(), mapClearHint)
|
||||
}
|
||||
|
||||
// Size returns current size of the map.
|
||||
func (m *Map[K, V]) Size() int {
|
||||
return int(m.table.Load().sumSize())
|
||||
}
|
||||
|
||||
func appendToBucket[K comparable, V any](h2 uint8, e *entry[K, V], b *bucketPadded[K, V]) {
|
||||
for {
|
||||
for i := 0; i < entriesPerMapBucket; i++ {
|
||||
if b.entries[i].Load() == nil {
|
||||
b.meta.Store(setByte(b.meta.Load(), h2, i))
|
||||
b.entries[i].Store(e)
|
||||
return
|
||||
}
|
||||
}
|
||||
if next := b.next.Load(); next == nil {
|
||||
newb := new(bucketPadded[K, V])
|
||||
newb.meta.Store(setByte(defaultMeta, h2, 0))
|
||||
newb.entries[0].Store(e)
|
||||
b.next.Store(newb)
|
||||
return
|
||||
} else {
|
||||
b = next
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func (table *mapTable[K, V]) addSize(bucketIdx uint64, delta int) {
|
||||
cidx := uint64(len(table.size)-1) & bucketIdx
|
||||
atomic.AddInt64(&table.size[cidx].c, int64(delta))
|
||||
}
|
||||
|
||||
func (table *mapTable[K, V]) addSizePlain(bucketIdx uint64, delta int) {
|
||||
cidx := uint64(len(table.size)-1) & bucketIdx
|
||||
table.size[cidx].c += int64(delta)
|
||||
}
|
||||
|
||||
func (table *mapTable[K, V]) sumSize() int64 {
|
||||
sum := int64(0)
|
||||
for i := range table.size {
|
||||
sum += atomic.LoadInt64(&table.size[i].c)
|
||||
}
|
||||
return sum
|
||||
}
|
||||
|
||||
func h1(h uint64) uint64 {
|
||||
return h >> 7
|
||||
}
|
||||
|
||||
func h2(h uint64) uint8 {
|
||||
return uint8(h & 0x7f)
|
||||
}
|
||||
|
||||
// MapStats is Map statistics.
|
||||
//
|
||||
// Warning: map statistics are intented to be used for diagnostic
|
||||
// purposes, not for production code. This means that breaking changes
|
||||
// may be introduced into this struct even between minor releases.
|
||||
type MapStats struct {
|
||||
// RootBuckets is the number of root buckets in the hash table.
|
||||
// Each bucket holds a few entries.
|
||||
RootBuckets int
|
||||
// TotalBuckets is the total number of buckets in the hash table,
|
||||
// including root and their chained buckets. Each bucket holds
|
||||
// a few entries.
|
||||
TotalBuckets int
|
||||
// EmptyBuckets is the number of buckets that hold no entries.
|
||||
EmptyBuckets int
|
||||
// Capacity is the Map capacity, i.e. the total number of
|
||||
// entries that all buckets can physically hold. This number
|
||||
// does not consider the load factor.
|
||||
Capacity int
|
||||
// Size is the exact number of entries stored in the map.
|
||||
Size int
|
||||
// Counter is the number of entries stored in the map according
|
||||
// to the internal atomic counter. In case of concurrent map
|
||||
// modifications this number may be different from Size.
|
||||
Counter int
|
||||
// CounterLen is the number of internal atomic counter stripes.
|
||||
// This number may grow with the map capacity to improve
|
||||
// multithreaded scalability.
|
||||
CounterLen int
|
||||
// MinEntries is the minimum number of entries per a chain of
|
||||
// buckets, i.e. a root bucket and its chained buckets.
|
||||
MinEntries int
|
||||
// MinEntries is the maximum number of entries per a chain of
|
||||
// buckets, i.e. a root bucket and its chained buckets.
|
||||
MaxEntries int
|
||||
// TotalGrowths is the number of times the hash table grew.
|
||||
TotalGrowths int64
|
||||
// TotalGrowths is the number of times the hash table shrinked.
|
||||
TotalShrinks int64
|
||||
}
|
||||
|
||||
// ToString returns string representation of map stats.
|
||||
func (s *MapStats) ToString() string {
|
||||
var sb strings.Builder
|
||||
sb.WriteString("MapStats{\n")
|
||||
sb.WriteString(fmt.Sprintf("RootBuckets: %d\n", s.RootBuckets))
|
||||
sb.WriteString(fmt.Sprintf("TotalBuckets: %d\n", s.TotalBuckets))
|
||||
sb.WriteString(fmt.Sprintf("EmptyBuckets: %d\n", s.EmptyBuckets))
|
||||
sb.WriteString(fmt.Sprintf("Capacity: %d\n", s.Capacity))
|
||||
sb.WriteString(fmt.Sprintf("Size: %d\n", s.Size))
|
||||
sb.WriteString(fmt.Sprintf("Counter: %d\n", s.Counter))
|
||||
sb.WriteString(fmt.Sprintf("CounterLen: %d\n", s.CounterLen))
|
||||
sb.WriteString(fmt.Sprintf("MinEntries: %d\n", s.MinEntries))
|
||||
sb.WriteString(fmt.Sprintf("MaxEntries: %d\n", s.MaxEntries))
|
||||
sb.WriteString(fmt.Sprintf("TotalGrowths: %d\n", s.TotalGrowths))
|
||||
sb.WriteString(fmt.Sprintf("TotalShrinks: %d\n", s.TotalShrinks))
|
||||
sb.WriteString("}\n")
|
||||
return sb.String()
|
||||
}
|
||||
|
||||
// Stats returns statistics for the Map. Just like other map
|
||||
// methods, this one is thread-safe. Yet it's an O(N) operation,
|
||||
// so it should be used only for diagnostics or debugging purposes.
|
||||
func (m *Map[K, V]) Stats() MapStats {
|
||||
stats := MapStats{
|
||||
TotalGrowths: m.totalGrowths.Load(),
|
||||
TotalShrinks: m.totalShrinks.Load(),
|
||||
MinEntries: math.MaxInt32,
|
||||
}
|
||||
table := m.table.Load()
|
||||
stats.RootBuckets = len(table.buckets)
|
||||
stats.Counter = int(table.sumSize())
|
||||
stats.CounterLen = len(table.size)
|
||||
for i := range table.buckets {
|
||||
nentries := 0
|
||||
b := &table.buckets[i]
|
||||
stats.TotalBuckets++
|
||||
for {
|
||||
nentriesLocal := 0
|
||||
stats.Capacity += entriesPerMapBucket
|
||||
for i := 0; i < entriesPerMapBucket; i++ {
|
||||
if b.entries[i].Load() != nil {
|
||||
stats.Size++
|
||||
nentriesLocal++
|
||||
}
|
||||
}
|
||||
nentries += nentriesLocal
|
||||
if nentriesLocal == 0 {
|
||||
stats.EmptyBuckets++
|
||||
}
|
||||
if next := b.next.Load(); next == nil {
|
||||
break
|
||||
} else {
|
||||
b = next
|
||||
}
|
||||
stats.TotalBuckets++
|
||||
}
|
||||
if nentries < stats.MinEntries {
|
||||
stats.MinEntries = nentries
|
||||
}
|
||||
if nentries > stats.MaxEntries {
|
||||
stats.MaxEntries = nentries
|
||||
}
|
||||
}
|
||||
return stats
|
||||
}
|
||||
|
||||
const (
|
||||
// cacheLineSize is used in paddings to prevent false sharing;
|
||||
// 64B are used instead of 128B as a compromise between
|
||||
// memory footprint and performance; 128B usage may give ~30%
|
||||
// improvement on NUMA machines.
|
||||
cacheLineSize = 64
|
||||
)
|
||||
|
||||
// nextPowOf2 computes the next highest power of 2 of 32-bit v.
|
||||
// Source: https://graphics.stanford.edu/~seander/bithacks.html#RoundUpPowerOf2
|
||||
func nextPowOf2(v uint32) uint32 {
|
||||
if v == 0 {
|
||||
return 1
|
||||
}
|
||||
v--
|
||||
v |= v >> 1
|
||||
v |= v >> 2
|
||||
v |= v >> 4
|
||||
v |= v >> 8
|
||||
v |= v >> 16
|
||||
v++
|
||||
return v
|
||||
}
|
||||
|
||||
func broadcast(b uint8) uint64 {
|
||||
return 0x101010101010101 * uint64(b)
|
||||
}
|
||||
|
||||
func firstMarkedByteIndex(w uint64) int {
|
||||
return bits.TrailingZeros64(w) >> 3
|
||||
}
|
||||
|
||||
// SWAR byte search: may produce false positives, e.g. for 0x0100,
|
||||
// so make sure to double-check bytes found by this function.
|
||||
func markZeroBytes(w uint64) uint64 {
|
||||
return ((w - 0x0101010101010101) & (^w) & 0x8080808080808080)
|
||||
}
|
||||
|
||||
func setByte(w uint64, b uint8, idx int) uint64 {
|
||||
shift := idx << 3
|
||||
return (w &^ (0xff << shift)) | (uint64(b) << shift)
|
||||
}
|
||||
28
common/xsync/map_extra.go
Normal file
28
common/xsync/map_extra.go
Normal file
@@ -0,0 +1,28 @@
|
||||
package xsync
|
||||
|
||||
// LoadOrStoreFn returns the existing value for the key if
|
||||
// present. Otherwise, it tries to compute the value using the
|
||||
// provided function and, if successful, stores and returns
|
||||
// the computed value. The loaded result is true if the value was
|
||||
// loaded, or false if computed.
|
||||
//
|
||||
// This call locks a hash table bucket while the compute function
|
||||
// is executed. It means that modifications on other entries in
|
||||
// the bucket will be blocked until the valueFn executes. Consider
|
||||
// this when the function includes long-running operations.
|
||||
//
|
||||
// Recovery this API and renamed from xsync/v3's LoadOrCompute.
|
||||
// We unneeded support no-op (cancel) compute operation, it will only add complexity to existing code.
|
||||
func (m *Map[K, V]) LoadOrStoreFn(key K, valueFn func() V) (actual V, loaded bool) {
|
||||
return m.doCompute(
|
||||
key,
|
||||
func(oldValue V, loaded bool) (V, ComputeOp) {
|
||||
if loaded {
|
||||
return oldValue, CancelOp
|
||||
}
|
||||
return valueFn(), UpdateOp
|
||||
},
|
||||
loadOrComputeOp,
|
||||
false,
|
||||
)
|
||||
}
|
||||
49
common/xsync/map_extra_test.go
Normal file
49
common/xsync/map_extra_test.go
Normal file
@@ -0,0 +1,49 @@
|
||||
package xsync
|
||||
|
||||
import (
|
||||
"strconv"
|
||||
"testing"
|
||||
)
|
||||
|
||||
func TestMapOfLoadOrStoreFn(t *testing.T) {
|
||||
const numEntries = 1000
|
||||
m := NewMap[string, int]()
|
||||
for i := 0; i < numEntries; i++ {
|
||||
v, loaded := m.LoadOrStoreFn(strconv.Itoa(i), func() int {
|
||||
return i
|
||||
})
|
||||
if loaded {
|
||||
t.Fatalf("value not computed for %d", i)
|
||||
}
|
||||
if v != i {
|
||||
t.Fatalf("values do not match for %d: %v", i, v)
|
||||
}
|
||||
}
|
||||
for i := 0; i < numEntries; i++ {
|
||||
v, loaded := m.LoadOrStoreFn(strconv.Itoa(i), func() int {
|
||||
return i
|
||||
})
|
||||
if !loaded {
|
||||
t.Fatalf("value not loaded for %d", i)
|
||||
}
|
||||
if v != i {
|
||||
t.Fatalf("values do not match for %d: %v", i, v)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func TestMapOfLoadOrStoreFn_FunctionCalledOnce(t *testing.T) {
|
||||
m := NewMap[int, int]()
|
||||
for i := 0; i < 100; {
|
||||
m.LoadOrStoreFn(i, func() (v int) {
|
||||
v, i = i, i+1
|
||||
return v
|
||||
})
|
||||
}
|
||||
m.Range(func(k, v int) bool {
|
||||
if k != v {
|
||||
t.Fatalf("%dth key is not equal to value %d", k, v)
|
||||
}
|
||||
return true
|
||||
})
|
||||
}
|
||||
1732
common/xsync/map_test.go
Normal file
1732
common/xsync/map_test.go
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user