_id
stringlengths
2
7
title
stringlengths
1
118
partition
stringclasses
3 values
text
stringlengths
52
85.5k
language
stringclasses
1 value
meta_information
dict
q36000
Delete
train
func (fi *FastIntegerHashMap) Delete(key uint64) { if fi.packets.delete(key) { fi.count-- } }
go
{ "resource": "" }
q36001
New
train
func New(hint uint64) *FastIntegerHashMap { if hint == 0 { hint = 16 } hint = roundUp(hint) return &FastIntegerHashMap{ count: 0, packets: make(packets, hint), } }
go
{ "resource": "" }
q36002
Compare
train
func (se skipEntry) Compare(other common.Comparator) int { otherSe := other.(skipEntry) if se == otherSe { return 0 } if se > otherSe { return 1 } return -1 }
go
{ "resource": "" }
q36003
isLastDimension
train
func isLastDimension(dimension, lastDimension uint64) bool { if dimension >= lastDimension { // useful in testing and denotes a serious problem panic(`Dimension is greater than possible dimensions.`) } return dimension == lastDimension-1 }
go
{ "resource": "" }
q36004
needsDeletion
train
func needsDeletion(value, index, number int64) bool { if number > 0 { return false } number = -number // get the magnitude offset := value - index return offset >= 0 && offset < number }
go
{ "resource": "" }
q36005
Get
train
func (rt *skipListRT) Get(entries ...rangetree.Entry) rangetree.Entries { results := make(rangetree.Entries, 0, len(entries)) for _, e := range entries { results = append(results, rt.get(e)) } return results }
go
{ "resource": "" }
q36006
deleteRecursive
train
func (rt *skipListRT) deleteRecursive(sl *skip.SkipList, dimension uint64, entry rangetree.Entry) rangetree.Entry { value := entry.ValueAtDimension(dimension) if isLastDimension(dimension, rt.dimensions) { entries := sl.Delete(skipEntry(value)) if entries[0] == nil { return nil } rt.number-- return en...
go
{ "resource": "" }
q36007
Apply
train
func (rt *skipListRT) Apply(interval rangetree.Interval, fn func(rangetree.Entry) bool) { rt.apply(rt.top, 0, interval, fn) }
go
{ "resource": "" }
q36008
Query
train
func (rt *skipListRT) Query(interval rangetree.Interval) rangetree.Entries { entries := make(rangetree.Entries, 0, 100) rt.apply(rt.top, 0, interval, func(e rangetree.Entry) bool { entries = append(entries, e) return true }) return entries }
go
{ "resource": "" }
q36009
Swap
train
func (u uintSlice) Swap(i, j int64) { u[i], u[j] = u[j], u[i] }
go
{ "resource": "" }
q36010
Less
train
func (u uintSlice) Less(i, j int64) bool { return u[i] < u[j] }
go
{ "resource": "" }
q36011
SetBit
train
func (sba *sparseBitArray) SetBit(k uint64) error { index, position := getIndexAndRemainder(k) i, inserted := sba.indices.insert(index) if inserted { sba.blocks.insert(i) } sba.blocks[i] = sba.blocks[i].insert(position) return nil }
go
{ "resource": "" }
q36012
GetBit
train
func (sba *sparseBitArray) GetBit(k uint64) (bool, error) { index, position := getIndexAndRemainder(k) i := sba.indices.get(index) if i == -1 { return false, nil } return sba.blocks[i].get(position), nil }
go
{ "resource": "" }
q36013
ToNums
train
func (sba *sparseBitArray) ToNums() []uint64 { if len(sba.indices) == 0 { return nil } diff := uint64(len(sba.indices)) * s nums := make([]uint64, 0, diff/4) for i, offset := range sba.indices { sba.blocks[i].toNums(offset*s, &nums) } return nums }
go
{ "resource": "" }
q36014
ClearBit
train
func (sba *sparseBitArray) ClearBit(k uint64) error { index, position := getIndexAndRemainder(k) i := sba.indices.get(index) if i == -1 { return nil } sba.blocks[i] = sba.blocks[i].remove(position) if sba.blocks[i] == 0 { sba.blocks.deleteAtIndex(i) sba.indices.deleteAtIndex(i) } return nil }
go
{ "resource": "" }
q36015
Reset
train
func (sba *sparseBitArray) Reset() { sba.blocks = sba.blocks[:0] sba.indices = sba.indices[:0] }
go
{ "resource": "" }
q36016
Equals
train
func (sba *sparseBitArray) Equals(other BitArray) bool { if other.Capacity() == 0 && sba.Capacity() > 0 { return false } var selfIndex uint64 for iter := other.Blocks(); iter.Next(); { otherIndex, otherBlock := iter.Value() if len(sba.indices) == 0 { if otherBlock > 0 { return false } continue ...
go
{ "resource": "" }
q36017
Or
train
func (sba *sparseBitArray) Or(other BitArray) BitArray { if ba, ok := other.(*sparseBitArray); ok { return orSparseWithSparseBitArray(sba, ba) } return orSparseWithDenseBitArray(sba, other.(*bitArray)) }
go
{ "resource": "" }
q36018
And
train
func (sba *sparseBitArray) And(other BitArray) BitArray { if ba, ok := other.(*sparseBitArray); ok { return andSparseWithSparseBitArray(sba, ba) } return andSparseWithDenseBitArray(sba, other.(*bitArray)) }
go
{ "resource": "" }
q36019
Intersects
train
func (sba *sparseBitArray) Intersects(other BitArray) bool { if other.Capacity() == 0 { return true } var selfIndex int64 for iter := other.Blocks(); iter.Next(); { otherI, otherBlock := iter.Value() if len(sba.indices) == 0 { if otherBlock > 0 { return false } continue } // here we grab whe...
go
{ "resource": "" }
q36020
compare
train
func compare(nodeLow, ivLow int64, nodeID, ivID uint64) int { if ivLow > nodeLow { return 1 } if ivLow < nodeLow { return 0 } return intFromBool(ivID > nodeID) }
go
{ "resource": "" }
q36021
add
train
func (tree *tree) add(iv Interval) { if tree.root == nil { tree.root = newNode( iv, iv.LowAtDimension(1), iv.HighAtDimension(1), 1, ) tree.root.red = false tree.number++ return } tree.resetDummy() var ( dummy = tree.dummy parent, grandParent *node node = tree.r...
go
{ "resource": "" }
q36022
Add
train
func (tree *tree) Add(intervals ...Interval) { for _, iv := range intervals { tree.add(iv) } }
go
{ "resource": "" }
q36023
Delete
train
func (tree *tree) Delete(intervals ...Interval) { for _, iv := range intervals { tree.delete(iv) } if tree.root != nil { tree.root.adjustRanges() } }
go
{ "resource": "" }
q36024
Query
train
func (tree *tree) Query(interval Interval) Intervals { if tree.root == nil { return nil } var ( Intervals = intervalsPool.Get().(Intervals) ivLow = interval.LowAtDimension(1) ivHigh = interval.HighAtDimension(1) ) tree.root.query(ivLow, ivHigh, interval, tree.maxDimension, func(node *node) { Int...
go
{ "resource": "" }
q36025
Enqueue
train
func (heap *FloatingFibonacciHeap) Enqueue(priority float64) *Entry { singleton := newEntry(priority) // Merge singleton list with heap heap.min = mergeLists(heap.min, singleton) heap.size++ return singleton }
go
{ "resource": "" }
q36026
Min
train
func (heap *FloatingFibonacciHeap) Min() (*Entry, error) { if heap.IsEmpty() { return nil, EmptyHeapError("Trying to get minimum element of empty heap") } return heap.min, nil }
go
{ "resource": "" }
q36027
DequeueMin
train
func (heap *FloatingFibonacciHeap) DequeueMin() (*Entry, error) { if heap.IsEmpty() { return nil, EmptyHeapError("Cannot dequeue minimum of empty heap") } heap.size-- // Copy pointer. Will need it later. min := heap.min if min.next == min { // This is the only root node heap.min = nil } else { // There ar...
go
{ "resource": "" }
q36028
DecreaseKey
train
func (heap *FloatingFibonacciHeap) DecreaseKey(node *Entry, newPriority float64) (*Entry, error) { if heap.IsEmpty() { return nil, EmptyHeapError("Cannot decrease key in an empty heap") } if node == nil { return nil, NilError("Cannot decrease key: given node is nil") } if newPriority >= node.Priority { re...
go
{ "resource": "" }
q36029
Delete
train
func (heap *FloatingFibonacciHeap) Delete(node *Entry) error { if heap.IsEmpty() { return EmptyHeapError("Cannot delete element from an empty heap") } if node == nil { return NilError("Cannot delete node: given node is nil") } decreaseKeyUnchecked(heap, node, -math.MaxFloat64) heap.DequeueMin() return nil...
go
{ "resource": "" }
q36030
Merge
train
func (heap *FloatingFibonacciHeap) Merge(other *FloatingFibonacciHeap) (FloatingFibonacciHeap, error) { if heap == nil || other == nil { return FloatingFibonacciHeap{}, NilError("One of the heaps to merge is nil. Cannot merge") } resultSize := heap.size + other.size resultMin := mergeLists(heap.min, other.min)...
go
{ "resource": "" }
q36031
Put
train
func (b *basicBatcher) Put(item interface{}) error { b.lock.Lock() if b.disposed { b.lock.Unlock() return ErrDisposed } b.items = append(b.items, item) if b.calculateBytes != nil { b.availableBytes += b.calculateBytes(item) } if b.ready() { // To guarantee ordering this MUST be in the lock, otherwise mu...
go
{ "resource": "" }
q36032
Get
train
func (b *basicBatcher) Get() ([]interface{}, error) { // Don't check disposed yet so any items remaining in the queue // will be returned properly. var timeout <-chan time.Time if b.maxTime > 0 { timeout = time.After(b.maxTime) } select { case items, ok := <-b.batchChan: // If there's something on the batc...
go
{ "resource": "" }
q36033
Flush
train
func (b *basicBatcher) Flush() error { // This is the same pattern as a Put b.lock.Lock() if b.disposed { b.lock.Unlock() return ErrDisposed } b.flush() b.lock.Unlock() return nil }
go
{ "resource": "" }
q36034
Dispose
train
func (b *basicBatcher) Dispose() { for { if b.lock.TryLock() { // We've got a lock if b.disposed { b.lock.Unlock() return } b.disposed = true b.items = nil b.drainBatchChan() close(b.batchChan) b.lock.Unlock() } else { // Two cases here: // 1) Something is blocked and holding...
go
{ "resource": "" }
q36035
IsDisposed
train
func (b *basicBatcher) IsDisposed() bool { b.lock.Lock() disposed := b.disposed b.lock.Unlock() return disposed }
go
{ "resource": "" }
q36036
flush
train
func (b *basicBatcher) flush() { b.batchChan <- b.items b.items = make([]interface{}, 0, b.maxItems) b.availableBytes = 0 }
go
{ "resource": "" }
q36037
Value
train
func (iter *sparseBitArrayIterator) Value() (uint64, block) { return iter.sba.indices[iter.index], iter.sba.blocks[iter.index] }
go
{ "resource": "" }
q36038
Value
train
func (iter *bitArrayIterator) Value() (uint64, block) { return uint64(iter.index), iter.ba.blocks[iter.index] }
go
{ "resource": "" }
q36039
Dispose
train
func (entries *Entries) Dispose() { for i := 0; i < len(*entries); i++ { (*entries)[i] = nil } *entries = (*entries)[:0] entriesPool.Put(*entries) }
go
{ "resource": "" }
q36040
copy
train
func (n *node) copy() *node { return &node{ balance: n.balance, children: [2]*node{n.children[0], n.children[1]}, entry: n.entry, } }
go
{ "resource": "" }
q36041
copy
train
func (immutable *Immutable) copy() *Immutable { var root *node if immutable.root != nil { root = immutable.root.copy() } cp := &Immutable{ root: root, number: immutable.number, dummy: *newNode(nil), } return cp }
go
{ "resource": "" }
q36042
Get
train
func (immutable *Immutable) Get(entries ...Entry) Entries { result := make(Entries, 0, len(entries)) for _, e := range entries { result = append(result, immutable.get(e)) } return result }
go
{ "resource": "" }
q36043
Insert
train
func (immutable *Immutable) Insert(entries ...Entry) (*Immutable, Entries) { if len(entries) == 0 { return immutable, Entries{} } overwritten := make(Entries, 0, len(entries)) cp := immutable.copy() for _, e := range entries { overwritten = append(overwritten, cp.insert(e)) } return cp, overwritten }
go
{ "resource": "" }
q36044
Delete
train
func (immutable *Immutable) Delete(entries ...Entry) (*Immutable, Entries) { if len(entries) == 0 { return immutable, Entries{} } deleted := make(Entries, 0, len(entries)) cp := immutable.copy() for _, e := range entries { deleted = append(deleted, cp.delete(e)) } return cp, deleted }
go
{ "resource": "" }
q36045
Put
train
func (rb *RingBuffer) Put(item interface{}) error { _, err := rb.put(item, false) return err }
go
{ "resource": "" }
q36046
Offer
train
func (rb *RingBuffer) Offer(item interface{}) (bool, error) { return rb.put(item, true) }
go
{ "resource": "" }
q36047
Poll
train
func (rb *RingBuffer) Poll(timeout time.Duration) (interface{}, error) { var ( n *node pos = atomic.LoadUint64(&rb.dequeue) start time.Time ) if timeout > 0 { start = time.Now() } L: for { if atomic.LoadUint64(&rb.disposed) == 1 { return nil, ErrDisposed } n = rb.nodes[pos&rb.mask] seq :=...
go
{ "resource": "" }
q36048
Len
train
func (rb *RingBuffer) Len() uint64 { return atomic.LoadUint64(&rb.queue) - atomic.LoadUint64(&rb.dequeue) }
go
{ "resource": "" }
q36049
NewRingBuffer
train
func NewRingBuffer(size uint64) *RingBuffer { rb := &RingBuffer{} rb.init(size) return rb }
go
{ "resource": "" }
q36050
generateRandomVerticesFromGuess
train
func generateRandomVerticesFromGuess(guess *nmVertex, num int) vertices { // summed allows us to prevent duplicate guesses, checking // all previous guesses for every guess created would be too // time consuming so we take an indexed shortcut here. summed // is a map of a sum of the vars to the vertices that have ...
go
{ "resource": "" }
q36051
findMidpoint
train
func findMidpoint(vertices ...*nmVertex) *nmVertex { num := len(vertices) // this is what we divide by vars := make([]float64, 0, num) for i := 0; i < num; i++ { sum := float64(0) for _, v := range vertices { sum += v.vars[i] } vars = append(vars, sum/float64(num)) } return &nmVertex{ vars: vars, }...
go
{ "resource": "" }
q36052
evaluate
train
func (vertices vertices) evaluate(config NelderMeadConfiguration) { for _, v := range vertices { v.evaluate(config) } vertices.sort(config) }
go
{ "resource": "" }
q36053
Less
train
func (sorter sorter) Less(i, j int) bool { return sorter.vertices[i].less(sorter.config, sorter.vertices[j]) }
go
{ "resource": "" }
q36054
euclideanDistance
train
func (nm *nmVertex) euclideanDistance(other *nmVertex) float64 { sum := float64(0) // first we want to sum all the distances between the points for i, otherPoint := range other.vars { // distance between points is defined by (qi-ri)^2 sum += math.Pow(otherPoint-nm.vars[i], 2) } return math.Sqrt(sum) }
go
{ "resource": "" }
q36055
reflect
train
func (nm *nelderMead) reflect(vertices vertices, midpoint *nmVertex) *nmVertex { toScalar := midpoint.subtract(nm.lastVertex(vertices)) toScalar = toScalar.multiply(alpha) toScalar = midpoint.add(toScalar) return nm.evaluateWithConstraints(vertices, toScalar) }
go
{ "resource": "" }
q36056
checkIteration
train
func (nm *nelderMead) checkIteration(vertices vertices) bool { // this will never be true for += inf if math.Abs(vertices[0].result-nm.config.Target) < delta { return false } best := vertices[0] // here we are checking distance convergence. If all vertices // are near convergence, that is they are all within ...
go
{ "resource": "" }
q36057
NelderMead
train
func NelderMead(config NelderMeadConfiguration) []float64 { nm := newNelderMead(config) nm.evaluate() return nm.results.vertices[0].vars }
go
{ "resource": "" }
q36058
symSearch
train
func symSearch(u, w Comparators) int { start, stop, p := 0, len(u), len(w)-1 for start < stop { mid := (start + stop) / 2 if u[mid].Compare(w[p-mid]) <= 0 { start = mid + 1 } else { stop = mid } } return start }
go
{ "resource": "" }
q36059
swap
train
func swap(u, w Comparators, index int) { for i := index; i < len(u); i++ { u[i], w[i-index] = w[i-index], u[i] } }
go
{ "resource": "" }
q36060
decomposeForSymMerge
train
func decomposeForSymMerge(length int, comparators Comparators) (v1 Comparators, w Comparators, v2 Comparators) { if length >= len(comparators) { panic(`INCORRECT PARAMS FOR SYM MERGE.`) } overhang := (len(comparators) - length) / 2 v1 = comparators[:overhang] w = comparators[overhang : overhang+length] v2 =...
go
{ "resource": "" }
q36061
symBinarySearch
train
func symBinarySearch(u Comparators, start, stop, total int) int { for start < stop { mid := (start + stop) / 2 if u[mid].Compare(u[total-mid]) <= 0 { start = mid + 1 } else { stop = mid } } return start }
go
{ "resource": "" }
q36062
symSwap
train
func symSwap(u Comparators, start1, start2, end int) { for i := 0; i < end; i++ { u[start1+i], u[start2+i] = u[start2+i], u[start1+i] } }
go
{ "resource": "" }
q36063
symRotate
train
func symRotate(u Comparators, start1, start2, end int) { i := start2 - start1 if i == 0 { return } j := end - start2 if j == 0 { return } if i == j { symSwap(u, start1, start2, i) return } p := start1 + i for i != j { if i > j { symSwap(u, p-i, p, j) i -= j } else { symSwap(u, p-i, p+j...
go
{ "resource": "" }
q36064
symMerge
train
func symMerge(u Comparators, start1, start2, last int) { if start1 < start2 && start2 < last { mid := (start1 + last) / 2 n := mid + start2 var start int if start2 > mid { start = symBinarySearch(u, n-last, mid, n-1) } else { start = symBinarySearch(u, start1, start2, n-1) } end := n - start sym...
go
{ "resource": "" }
q36065
Int63
train
func (ls *lockedSource) Int63() (n int64) { ls.mu.Lock() n = ls.src.Int63() ls.mu.Unlock() return }
go
{ "resource": "" }
q36066
Seed
train
func (ls *lockedSource) Seed(seed int64) { ls.mu.Lock() ls.src.Seed(seed) ls.mu.Unlock() }
go
{ "resource": "" }
q36067
init
train
func (sl *SkipList) init(ifc interface{}) { switch ifc.(type) { case uint8: sl.maxLevel = 8 case uint16: sl.maxLevel = 16 case uint32: sl.maxLevel = 32 case uint64, uint: sl.maxLevel = 64 } sl.cache = make(nodes, sl.maxLevel) sl.posCache = make(widths, sl.maxLevel) sl.head = newNode(nil, sl.maxLevel) }
go
{ "resource": "" }
q36068
GetWithPosition
train
func (sl *SkipList) GetWithPosition(cmp common.Comparator) (common.Comparator, uint64) { n, pos := sl.search(cmp, nil, nil) if n == nil { return nil, 0 } return n.entry, pos - 1 }
go
{ "resource": "" }
q36069
ByPosition
train
func (sl *SkipList) ByPosition(position uint64) common.Comparator { n, _ := sl.searchByPosition(position+1, nil, nil) if n == nil { return nil } return n.entry }
go
{ "resource": "" }
q36070
InsertAtPosition
train
func (sl *SkipList) InsertAtPosition(position uint64, cmp common.Comparator) { sl.insertAtPosition(position, cmp) }
go
{ "resource": "" }
q36071
ReplaceAtPosition
train
func (sl *SkipList) ReplaceAtPosition(position uint64, cmp common.Comparator) { sl.replaceAtPosition(position, cmp) }
go
{ "resource": "" }
q36072
Iter
train
func (sl *SkipList) Iter(cmp common.Comparator) Iterator { return sl.iter(cmp) }
go
{ "resource": "" }
q36073
SplitAt
train
func (sl *SkipList) SplitAt(index uint64) (*SkipList, *SkipList) { index++ // 0-index offset if index >= sl.Len() { return sl, nil } return splitAt(sl, index) }
go
{ "resource": "" }
q36074
Less
train
func (c Comparators) Less(i, j int) bool { return c[i].Compare(c[j]) < 0 }
go
{ "resource": "" }
q36075
Swap
train
func (c Comparators) Swap(i, j int) { c[j], c[i] = c[i], c[j] }
go
{ "resource": "" }
q36076
newNode
train
func newNode(cmp common.Comparator, maxLevels uint8) *node { return &node{ entry: cmp, forward: make(nodes, maxLevels), widths: make(widths, maxLevels), } }
go
{ "resource": "" }
q36077
GetResult
train
func (f *Future) GetResult() (interface{}, error) { f.lock.Lock() if f.triggered { f.lock.Unlock() return f.item, f.err } f.lock.Unlock() f.wg.Wait() return f.item, f.err }
go
{ "resource": "" }
q36078
HasResult
train
func (f *Future) HasResult() bool { f.lock.Lock() hasResult := f.triggered f.lock.Unlock() return hasResult }
go
{ "resource": "" }
q36079
New
train
func New(completer Completer, timeout time.Duration) *Future { f := &Future{} f.wg.Add(1) var wg sync.WaitGroup wg.Add(1) go listenForResult(f, completer, timeout, &wg) wg.Wait() return f }
go
{ "resource": "" }
q36080
addAt
train
func (nodes *orderedNodes) addAt(i int, node *node) *node { if i == len(*nodes) { *nodes = append(*nodes, node) return nil } if (*nodes)[i].value == node.value { overwritten := (*nodes)[i] // this is a duplicate, there can't be a duplicate // point in the last dimension (*nodes)[i] = node return overw...
go
{ "resource": "" }
q36081
getBucketKey
train
func (yfast *YFastTrie) getBucketKey(key uint64) uint64 { i := key/uint64(yfast.bits) + 1 return uint64(yfast.bits)*i - 1 }
go
{ "resource": "" }
q36082
Insert
train
func (yfast *YFastTrie) Insert(entries ...Entry) Entries { overwritten := make(Entries, 0, len(entries)) for _, e := range entries { overwritten = append(overwritten, yfast.insert(e)) } return overwritten }
go
{ "resource": "" }
q36083
Delete
train
func (yfast *YFastTrie) Delete(keys ...uint64) Entries { entries := make(Entries, 0, len(keys)) for _, key := range keys { entries = append(entries, yfast.delete(key)) } return entries }
go
{ "resource": "" }
q36084
Get
train
func (yfast *YFastTrie) Get(key uint64) Entry { entry := yfast.get(key) if entry == nil { return nil } return entry }
go
{ "resource": "" }
q36085
Successor
train
func (yfast *YFastTrie) Successor(key uint64) Entry { entry := yfast.successor(key) if entry == nil { return nil } return entry }
go
{ "resource": "" }
q36086
Predecessor
train
func (yfast *YFastTrie) Predecessor(key uint64) Entry { entry := yfast.predecessor(key) if entry == nil { return nil } return entry }
go
{ "resource": "" }
q36087
V
train
func (g *SimpleGraph) V() int { g.mutex.RLock() defer g.mutex.RUnlock() return g.v }
go
{ "resource": "" }
q36088
E
train
func (g *SimpleGraph) E() int { g.mutex.RLock() defer g.mutex.RUnlock() return g.e }
go
{ "resource": "" }
q36089
AddEdge
train
func (g *SimpleGraph) AddEdge(v, w interface{}) error { g.mutex.Lock() defer g.mutex.Unlock() if v == w { return ErrSelfLoop } g.addVertex(v) g.addVertex(w) if _, ok := g.adjacencyList[v][w]; ok { return ErrParallelEdge } g.adjacencyList[v][w] = struct{}{} g.adjacencyList[w][v] = struct{}{} g.e++ re...
go
{ "resource": "" }
q36090
Adj
train
func (g *SimpleGraph) Adj(v interface{}) ([]interface{}, error) { g.mutex.RLock() defer g.mutex.RUnlock() deg, err := g.Degree(v) if err != nil { return nil, ErrVertexNotFound } adj := make([]interface{}, deg) i := 0 for key := range g.adjacencyList[v] { adj[i] = key i++ } return adj, nil }
go
{ "resource": "" }
q36091
Degree
train
func (g *SimpleGraph) Degree(v interface{}) (int, error) { g.mutex.RLock() defer g.mutex.RUnlock() val, ok := g.adjacencyList[v] if !ok { return 0, ErrVertexNotFound } return len(val), nil }
go
{ "resource": "" }
q36092
pop
train
func (p *path) pop() *pathBundle { if pb := p.tail; pb != nil { p.tail = pb.prev pb.prev = nil return pb } return nil }
go
{ "resource": "" }
q36093
copyToGen
train
func (i *iNode) copyToGen(gen *generation, ctrie *Ctrie) *iNode { nin := &iNode{gen: gen} main := gcasRead(i, ctrie) atomic.StorePointer( (*unsafe.Pointer)(unsafe.Pointer(&nin.main)), unsafe.Pointer(main)) return nin }
go
{ "resource": "" }
q36094
newMainNode
train
func newMainNode(x *sNode, xhc uint32, y *sNode, yhc uint32, lev uint, gen *generation) *mainNode { if lev < exp2 { xidx := (xhc >> lev) & 0x1f yidx := (yhc >> lev) & 0x1f bmp := uint32((1 << xidx) | (1 << yidx)) if xidx == yidx { // Recurse when indexes are equal. main := newMainNode(x, xhc, y, yhc, le...
go
{ "resource": "" }
q36095
inserted
train
func (c *cNode) inserted(pos, flag uint32, br branch, gen *generation) *cNode { length := uint32(len(c.array)) bmp := c.bmp array := make([]branch, length+1) copy(array, c.array) array[pos] = br for i, x := pos, uint32(0); x < length-pos; i++ { array[i+1] = c.array[i] x++ } ncn := &cNode{bmp: bmp | flag, ar...
go
{ "resource": "" }
q36096
updated
train
func (c *cNode) updated(pos uint32, br branch, gen *generation) *cNode { array := make([]branch, len(c.array)) copy(array, c.array) array[pos] = br ncn := &cNode{bmp: c.bmp, array: array, gen: gen} return ncn }
go
{ "resource": "" }
q36097
renewed
train
func (c *cNode) renewed(gen *generation, ctrie *Ctrie) *cNode { array := make([]branch, len(c.array)) for i, br := range c.array { switch t := br.(type) { case *iNode: array[i] = t.copyToGen(gen, ctrie) default: array[i] = br } } return &cNode{bmp: c.bmp, array: array, gen: gen} }
go
{ "resource": "" }
q36098
untombed
train
func (t *tNode) untombed() *sNode { return &sNode{&Entry{Key: t.Key, hash: t.hash, Value: t.Value}} }
go
{ "resource": "" }
q36099
entry
train
func (l *lNode) entry() *sNode { head, _ := l.Head() return head.(*sNode) }
go
{ "resource": "" }