practice of programming

Java5 adds a new class library concurrency set Java.util.concurrent, which provides rich APIs for concurrent programs that are easier and more flexible in Java 5. This article through a network server model, to practice JAVA5 multithreaded programming, the model used in the JAVA5 thread pool, blocking queues, can be reset locks, but also practice callable, future

days floatmoney=0, Ave; while(n -) { money=money+0.8*N; Day++; N*=2;//N each x2} Ave=money/Day ;printf ("I'm a jerk, I buy apples every day.") I am Tao Tao I bought%d apples ", N/2);//Because n exits the loop because the n> or =100 is because the number of X is 2 so I have to/2 to get the amount of the Tao to buy apples printf ("The result is%.6f", Ave); return 0;} I'm a jerk. I buy apples every day. I'm Tao Tao, I bought 64 apples.//The result is 16.799999Code for the preparation of level

, return the IF (Ret ReadLine Realization Idea: in the ReadLine function, we first use Recv_peek to "peep" at the number of characters in the buffer now and read to Pbuf, and then see if there is a line break ' \ n '.If present, the READN is read with a newline character (the function is equivalent to emptying the socket buffer); If it does not exist, also clear the buffer, and move the position of the pbuf, go back to the start of the while loop and see again. Note that when we call READN to re

I recently read Java Concurrent in Practice (java Concurrent programming Practice) and found that I have a superficial understanding of java threads, locks, and other mechanisms, and I have not learned fully enough. I plan to use this book to comprehensively learn about the concurrent development of JDK and some thread-related theoretical knowledge, and fill in m

Linux inter-process communication (IPC) Programming Practice (iii) Details System V Message Queue (1)Message Queue introduction Message Queue provides a method for sending a piece of data (local) from one process to another. Each data block is considered to be of a type, the data blocks received by the recipient process can have different types of values. Message queues have the same limitations as pipeline

replication of a resource only takes place when it needs to be written, and before that, it is shared only as read-only . This technique enables a copy of the page on the address space to be deferred until the actual write occurs . When the page is not written at all, {For example: Call EXEC () immediately after fork ()} They do not have to be duplicated. The actual cost of fork () is to copy the page table of the parent process and create a unique process descriptor for the child process . In

Practice content: Simulating class instances with closure functions1 __author__='Orcsir'2 classclosureinstance:3 def __init__(self, locals):4Self.__dict__. Update (locals)5 6 def __len__(self):7 returnSelf.__dict__["__len__"]()8 9 Ten defStack (): OneItems = [] A - defpush (item): - items.append (item) the - defpop (): - Items.pop () - + def __len__(): - returnlen (items) + ADCT = {} at forName, valueinchlo

defIs_sub_tree (Head1, head2):2 ifHead1 isNoneorHead2 isNone:3 returnFalse4 5STR1 =morris_pre_serialize (HEAD1)6STR2 =morris_pre_serialize (head2)7 8STR1, str2 = (str2, str1)ifLen (STR1) Else(str1, str2)9 TenRET =KMP (str1, str2) One A returnTrueifRet! =-1ElseFalse5. Simple test Code1 if __name__=="__main__":2Tree_1 = Node (1)3Tree_1.left = Node (2)4Tree_1.right = Node (3)5Tree_1.left.left = Node (4)6Tree_1.left.right = Node (5)7Tree_1.right.left = Node (6)8Tree_1.right.right =

) post_order_recur (head.right)Print(Head.value, sep=" ", end=" ")#First Order non-recursivedefPre_order_unrecur (head):if notHead:returnStack=Stack () stack.add (head) while notStack.is_empty (): Head=Stack.pop ()Print(Head.value, sep=" ", end=" ") ifHead.right:stack.add (head.right)ifHead.left:stack.add (head.left)Else: Print()#middle order non-recursivedefIn_order_unrecur (head):if notHead:returnStack=Stack () while notStack.is_empty ()orHead:ifHead:stack.add (head) head=Hea

.__wrapped=Wrapped9 Wraps (wrapped) (self)Ten One def __call__(Self, *args, * *Kwargs): A Print("Inject Some code before func run.") -ret = self.__wrapped(*args, * *Kwargs) - Print("Inject Some code after func run.") the returnret - - - @TimeIt + defFunc (*args, * *Kwargs): - Print("func start processing.") +Time.sleep (2)#Simulated processing time A Print("func end processing.") at returnNone - - #Test -Func ()3. Using the Magic method __enter__ and _