收集、管理和分享有用的代码片段,提高开发效率
暴露Prometheus指标端点
func main() {
reqCount := prometheus.NewCounter(
prometheus.CounterOpts{
Name: "http_requests_total",
Help: "Number of HTTP requests",
},
)
http.HandleFunc("/metrics", promethmus.Handler())
http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
reqCount.Inc()
fmt.Fprintf(w, "Hello, Prometheus!")
})
log.Fatal(http.ListenAndServe(":12345", nil))
}
暴露Prometheus指标端点
func main() {
reqCount := prometheus.NewCounter(
prometheus.CounterOpts{
Name: "http_requests_total",
Help: "Number of HTTP requests",
},
)
http.HandleFunc("/metrics", promethmus.Handler())
http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
reqCount.Inc()
fmt.Fprintf(w, "Hello, Prometheus!")
})
log.Fatal(http.ListenAndServe(":12345", nil))
}
自平衡二叉搜索树实现
type Color int
const (
RED = iota
BLACK = iota
)
type RBNode struct {
key int
color Color
left, *RBNode
right *RBNode
}
func rb_rotate_left(root *RBNode) *RBNode {
right := root.right
root.right = right.left
right.left = root
return right
}
func rb_insert(root *RBNode, key int) *RBNode {
if root == nil {
return &RBNode{key: key, color: RED, left: nil, right: nil}
}
if key < root.key {
root.left = rb_insert(root.left, key)
} else {
root.right = rb_insert(root.right, key)
}
// Balancing logic here (detailed red-black tree rules)
return root
}
概率性平衡数据结构
type SkipListNode struct {
value int
next []*SkipListNode
}
type SkipList struct {
maxLevel int
level int
head *SkipListNode
}
func newSkipList(maxLv int) *SkipList {
head := &SkipListNode{next: make([]*SkipListNode, maxLv)}
return &SkipList{maxLevel: maxLv, level: 0, head: head}
}
func (k *SkipList) randomLevel() int {
l := 1
for float64(rand.Int31())/float32(((1 <<31)-1)) < k.p && l < k.maxLevel {
l++
}
return l
}
func (s *SkipList) Insert(val int) {
curr := s.head
update := make([]*SkipListNode, s.maxLevel)
for i := s.level - 1; i >= 0; i-- {
for curr.next[i] != nil && curr.next[i].value < val {
curr = curr.next[i]
}
update[i] = curr
}
lvl := s.randomLevel()
if lvl > s.level {
for i := s.level; i < lvl; i++ {
update[i] = s.head
}
s.level = lvl
}
newNode := &SkipListNode{value: val, next: make([]*SkipListNode, lvl)}
for i := 0; i < lvl; i++ {
newNode.next[i] = update[i].next[i]
update[i].next[i] = newNode
}
}
解决优化问题的基本框架
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��ѽ����ѹ��́����ձ�ѥ��(%ɕ��ɸ���0 // Placeholder
}
func crossover(p1, p2 *Individual) (c1, c2 *Individual) {
pt := rand.Intn(0, len(p1.genes)-1)
c1 = &Individual{genes: append(pop.genes[0:pt], p2.genes[pt:]), fitness: 0.0}
c2 = &Individual{genes: append(p2.genes[0:pt], p1.genes[pt:]), fitness: 0.0}
return c1, c2
}
func mutate(ind *Individual) {
idx := rand.Int(0, len(ind.genes)-1)
ind.genes[idx] = rand.Int(0, 1) // Flip bit
}
func geneticAlgorithm(popSize, generations int) *Individual {
population := make([]*Individual, popSize)
for i := range population {
population[i] = randIndividual() // Initialize
}
for gen := 0; gen < generations; gen++ {
// Selection, Crossover, Mutation
}
best := population[0]
for , ind := range population {
if ind.fitness > best.fitness {
best = ind
}
}
return best
}
解决旅行商问题的优化方法
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