...。 分析日志可以發(fā)現(xiàn),啟動時,該命令被卡在了 getrandom 系統(tǒng)調(diào)用上,解除阻塞時間點為 23:10:48。 getrandom 點擊查看參考資料?http://man7.org/linux/man-pages/man2/getrandom.2.html getrandom 封裝了對 /dev/urandom 字符設備文件...
380. Insert Delete GetRandom O(1) Design a data structure that supports all following operations in average O(1) time. insert(val): Inserts an item val to the set if not already present. remove(val)...
...already present. remove(val): Removes an item val from the set if present. getRandom: Returns a random element from current set of elements. Each element must have the same probability of being ret...
...llection. remove(val): Removes an item val from the collection if present. getRandom: Returns a random element from current collection of elements. The probability of each element being returned is...
... next(gen.next(data)).then(resolve) }) } }) } } function getRandom () { return new Promise(resolve => { setTimeout(_ => resolve(Math.random() * 10 | 0), 1000) }) } functi...
...做到不重復加入delete(key):將原本在結(jié)構(gòu)中的某個key移除,getRandom():等概率隨機返回結(jié)構(gòu)中的任何一個key要求:三個方法的時間復雜度都是O(1) 解法:準備兩張hash表(一張hash表無法做到嚴格等概率隨機返回一個) HashMap keyIndexMap = new ...
...ead.next.next = new ListNode(3);Solution solution = new Solution(head); // getRandom() should return either 1, 2, or 3 randomly. Each element should have equal probability of returning.solution.get...
...(); let imgData = []; for (let i = 0; i < n * 10000; i += 4) { let r = getRandom(0,255), g = getRandom(0,255), b = getRandom(0,255), a = 1; if (r
...的手機號!); return false; }; 6.生成隨機數(shù)函數(shù) function getRandom(n){ return Math.floor(Math.random()*n+1) } 1)獲取0-100的隨機數(shù)——getRandom(100); 2)獲取0-999的隨機數(shù)——getRandom(999); 7.jQuery模擬鼠標點擊事件 $(#a).trigge...
...d.next.next = new ListNode(3); Solution solution = new Solution(head); // getRandom() should return either 1, 2, or 3 randomly. Each element should have equal probability of returning. solution.ge...
ChatGPT和Sora等AI大模型應用,將AI大模型和算力需求的熱度不斷帶上新的臺階。哪里可以獲得...
一、活動亮點:全球31個節(jié)點覆蓋 + 線路升級,跨境業(yè)務福音!爆款云主機0.5折起:香港、海外多節(jié)點...
大模型的訓練用4090是不合適的,但推理(inference/serving)用4090不能說合適,...