start() while currentRunThreadNumber < maxSubThreadNumber: notifyNumber = int( input("Please enter the number of threads that need to be notified to run:")) with condLock: condLock.notify(notifyNumber) # 放行 print("main thread run end") 4、Event() 事件锁 基本介绍 事件锁是基于条件锁...
while currentRunThreadNumber < maxSubThreadNumber: notifyNumber = int( input("Please enter the number of threads that need to be notified to run:")) with condLock: condLock.notify(notifyNumber) # 放行 print("main thread run end") 4、Event() 事件锁 基本介绍 事件锁是基于条件锁来做的,它...
“multi:softmax” –让XGBoost采用softmax目标函数处理多分类问题,同时需要设置参数num_class(类别个数) “multi:softprob” –和softmax一样,但是输出的是ndata * nclass的向量,可以将该向量reshape成ndata行nclass列的矩阵。每行数据表示样本所属于每个类别的概率。 “rank:pairwise” –set XGBoost to do ran...
while currentRunThreadNumber < maxSubThreadNumber: notifyNumber = int( input("Please enter the number of threads that need to be notified to run:")) with condLock: condLock.notify(notifyNumber) # 放行 print("main thread run end") 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13...
1. Python Queue模块的FIFO队列先进先出。 class queue.Queue(maxsize) 2. LIFO类似于堆,即先进后出。 class queue.LifoQueue(maxsize) 3. 还有一种是优先级队列级别越低越先出来。 class queue.PriorityQueue(maxsize) 1importqueue#线程队列23q = queue.Queue()#queue.Queue(5)则表示队列最多存5个值,不...
()parser.add_argument('-n',type=int,default=1)parser.add_argument('number',type=int,nargs='?',default=34)args=parser.parse_args()assert args.n>=1,'The number of threads has to be > 1'withcf.ProcessPoolExecutor(max_workers=args.n)aspool:results=pool.map(fib,[args.number]*args.n...
pool = ThreadPoolExecutor(max_workers=2) future1 = pool.submit(return_future_result, ("hello")) future2 = pool.submit(return_future_result, ("world")) print(future1.done()) time.sleep(3) print(future2.done()) print(future1.result()) ...
classFibonacciIterator:def__init__(self,max_num):self.max_num=max_numself.a,self.b=0,1def__iter__(self):returnselfdef__next__(self):ifself.a>self.max_num:raiseStopIterationresult=self.aself.a,self.b=self.b,self.a+self.breturnresult# 使用自定义迭代器fib_iter=FibonacciIterator(100)...
import multitasking multitasking.set_max_threads(10)...or, if you want to set the maximum number of threads based on the number of CPU Cores, you can:import multitasking multitasking.set_max_threads(multitasking.config["CPU_CORES"] * 5)...
POLARS_FMT_MAX_ROWS-> maximum number of rows shown when formatting DataFrames. POLARS_TABLE_WIDTH-> width of the tables used during DataFrame formatting. POLARS_MAX_THREADS-> maximum number of threads used in join algorithm. Default is unbounded. ...