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NGOSS (Next Generation Operational support systems) is proposed by TMF (Tele Management Forum). It is used in the telecommunications field and is a framework for building the next-generation OSS/BSS systems.
TMF provides a technical neutral architecture (TNA) as the technical framework of the NGOSS solution. In this way, NGOSS is established as a standard, which is independent of other technologies. TMF also provides a set of testing methods to ver
Operational activities
Decision-oriented activities based on analysis
Frequent
Relatively infrequent
Easy to predict
Unpredictable
A small amount of data is queried each time.
A large amount of data is queried each time.
The basic query is raw data.
The basic query is derived data.
Most of the data you need is the current data.
Data in the past, present, and plan is re
Design idea: The so-called arithmetic will include the subtraction four kinds of operations, that is to think of the design of the operation to include this kind of, so think of using case statement to represent in each situation of the operation, requires the system to automatically generate data randomly, that is to think of the rand () function to achieve, The format to be output is written directly with a simple coutSource:Arithmetic lawLimin,mar 6#include using namespace Std;void Main (){in
consider using List. For operations that require quick insertion, deletion of elements, and so on, you should use LinkedList. If you need to quickly randomly access elements, you should use ArrayList. If the program is in a single-threaded environment, or if access is done only in one thread, it is more efficient to consider non-synchronous classes. If multiple threads might manipulate a class at the same time, the synchronized class should be used. Pay special attention to the operation of the
the animation being calculated This. picturebox1.visible =true; //use the thread pool to complete the exportWaitCallback WC =NewWaitCallback ( This. Exportexcel); ThreadPool.QueueUserWorkItem (WC,"SQL where"); } Private voidExportexcel (ObjectSQL) {Thread.Sleep ( +); //Here is also an example of an argument Objectresult = This. Invoke (Newfuncint,int> (GetNumber), One); MessageBox.Show (Result+""); } Private intGetNumber (intnum) { Thi
idea, there were two main aspects. First, because the implementation of more functions, often to be verified and regenerated, more cumbersome, so the program is divided into main functions and other functions, so that the program is relatively clear and understandable. Second, in the process of supporting fractions, not as simple as imagined, so the final output of the inverse of the random number is not perfect to achieve this function.There are two main errors in the specific procedure. One i
Testing the evolution of the four budget process, the objectives and results of all the test projects are as follows:1, the value 100 within the range of 10 questions subtraction random question, subtraction allows negative numbers, division allows the remainder2, the value 100 within the range of 10 questions subtraction random question, subtraction allows negative numbers, division does not allow the remainder3, the value 100 within the range of 10 questions subtraction random question, subtra
1. Turn off SELinux Vi/etc/selinux/configReboot 2. Install the Secure Dog Linux versionHttp://bbs.safedog.cn/thread-63020-1-1.htmlCan take the wget way to download the release package (32-bit system to change 64 to 32): Wget http://safedog.cn/safedog_linux64.tar.gz Step 2: Execute the following command under the root account: Tar xzvf safedog _LINUX64.TAR.GZCD Safedog_linux64chmod +x *.py./install.py 3. Modify the default 22 portModify the configuration file vi/etc/ssh/sshd_config find #port
Rd with operational knowledge is the best PM
Different people in a team assume different roles and exert their respective strengths to promote the common progress of the project.
A project, a product from an idea to implementation, will always encounter a total number of problems, as time passes, the project is getting closer and closer to the launch time, launched the user, some people left behind while others left.
Who are we doing for, why ar
-family: ' Andale mono '; font-size:10px;" >reloader.monitor () relies on this value for looping, so once the event is sent, the loop stops, and reloader.rerun_with_autoreload () causes the new subprocess to take over the entire application, This achieves the function of automatic overloading Simple invocation:Import timefrom wrappers.autoreload Import run_with_autoreload@run_with_autoreload (watch_files=['./img ', './css '), interval=1, rtype= ' Auto ') def main (): while true:print ' = + {}
, including caseName.isdecimal #判断是否是十进制Name.isdigit #判断是否是整数Name.isidentifier #判断是不是一个合法的标识符, equivalent to determining whether a valid variable nameName.islower #判断是否小写Name.isnumeric #判断是否是一个数字Name.isspace #判断是否是空格Name.istitle #判断首字母是否大写Name.isprintable #判断是否可打印, the string is not considered, only if it is a TTY file, driver files, etc.Name.isupper #判断是否全是大学1>>>Print('+'. Join (["1","2","3"]))#Join Stitching21+2+33>>>Print("'. Join (["1","2","3"]))41235>>>Print('\nhello,world!'. Lstrip ())#rem
, so long as a filter object is rejected, the log information will not be processedLogging. Filter (name= "")Description: Create a filter, the Log Object name format is generally A.B.C, when the name of a.b means that only the prefix A.B log will be processed, otherwise the log will be discarded.Application Scenarios:
1. Rotatingfilehandler and Timedrotatingfilehandler are thread-safe and can be used in multithreaded scenarios2. Multi-process scenarios The official recommendation is to use
Cuda basics (1): operational procedures and kernel concepts, cudakernel
Cuda is a parallel computing framework released by Nvidia. GPU is no longer limited to processing graphics and images. It contains a large number of computing units to execute tasks that are large in computing but can be processed in parallel.
Cuda operations include five steps:
1. Memory allocated by the CPU on the GPU: cudaMalloc;
2. the CPU sends data to the GPU: cudaMemcpy;
3
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