python performance profiling

1.timeit Python standard library comes withThe algorithm is as follows: Loop the Code multiple times (parameter name number) so that it is long enough to have statistical time. Loop through Step 1 multiple times (parameter name repeat) to get enough statistical sampling. Select the shortest time sampling from the results of Step 2 and calculate the single mean. Command line execution" Import Time " " time.sleep (1) "ten loops, Be

#!/bin/env python#coding: UTF8‘‘‘awk prints the specified number of rowsSED prints the specified number of linesPython prints the specified position, a length stringAwk takes the longest, a long timeSed awk time HalfPython time-consuming basic negligibleWhen you use a script to monitor log files, the location of the last exit is loggedPython is the most efficient.‘‘‘Import OSFrom time Import timeFrom Os.path import GetSizetestfile= '/dev/shm/%s '% tim

=Comm. Get_rank () comm_size=Comm. Get_size ()ifComm_rank = =0:data=Range (comm_size)Else: Data=Nonelocal_data= Comm.scatter (data, root=0) Local_data= Local_data * 2Print('rank%d, got and do:'%Comm_rank)Print(local_data) Combine_data= Comm.gather (local_data,root=0)ifComm_rank = =0:Print("root recv {0}". Format (Combine_data))3.4 statute reduceImportmpi4py. MPI as MPI Comm=Mpi.comm_worldcomm_rank=Comm. Get_rank () comm_size=Comm. Get_size ()ifComm_rank = =0:data=Range (comm_size)Else: Data=Non

In the previous chapters, we have been using the accuracy rate (accuracy) to evaluate the performance of the model, which is usually a good choice. In addition, there are many evaluation indicators, such as precision (precision), recall rate (recall) and F1 value (F1-score).Confusion matrixBefore explaining the different evaluation indicators, let's start by learning a concept: The confusion matrix (confusion matrix), which shows the matrix of the lea

' #Through hostid query itemid, through KEY_ filtering Performance MonitorSql_graphid = Select Graphid fromGraphs_items where itemid='33712' #query the corresponding graphid by ItemidGraph_args=Urllib.urlencode ({"Graphid":'3346', "width":' -', "Height":'156', "stime":'20160511000000',#Graph start Time "period":'86400'}) Graph_url='http://10.160.25.42/zabbix/ch

","UID": Str (res[0]),"Ukey": res[1]}Response = Self.client.put ("/customers/customer_state",headers=headers). Text # Client.get () is used to refer to the requested path, which can be added headers,params,body parameters;Assert ' success ' in response@task (1)def get_member_account_withdrawal_details (self):"" "to obtain the member account withdrawal details" "res = Self.get_headers ()headers = {"Channel": "Shop","UID": Str (res[0]),"Ukey": res[1]}params = {"Page": "10","Size": "10"}Response =

code is 5. If set to 8, 8 requests can be processed every 5 seconds.In doing Unicom central bank credit based on the user authorization of the login system, you need to verify the user submitted account password verification code, plus the use of proxy IP time is very unstable, verify the user submitted account password is able to login to the three-party website when it takes a lot of time, you need to use tornado this asynchronous way, Otherwise, it takes a long time for the user to submit th

The examples in this article describe how Python implements test disk performance. Share to everyone for your reference. Specifically as follows: The code does the following work: Create 300000 files (512B to 1536B) with data from/dev/urandomRewrite 30000 random files and change the sizeRead 30000 sequential filesRead 30000 random filesDelete all FilesSync and drop cache after every step The bench.py cod

InformationImport PsutilPsutil.users () #users方法返回当前登陆系统的用户信息Import Psutil,datetimePsutil.boot_time () #boot_time获取开机时间, returned in Linux timestamp formatDatetime.datetime.fromtimestamp (Psutil.boot_time ()). Strftime ("%y-%m-%d%h:%m:%s")4. System Process Management methodsProcess informationImport PsutilPsutil.pids () #列出所有进程的PIDp = psutil.process (855)P.name () #进程名P.exe () #进程bin路径P.CWD () #进程工作路径绝对路径P.status () #进程状态P.create_time () #进程创建时间P.uids () #进程uid信息P.gids () #进程gid信息P.cpu_times ()

http://blog.csdn.net/gzlaiyonghao/article/details/1483728Collect a great God's introduction to this question. I will not do more pollution. There are also two enhanced libraries that can be used to generate a graph analysis of the. prof file for Cprofile output.One is Snakeviz one is Gprof2dot the second figure generates something very cool ... But it's not the first one to be practical.In the process of using both, there is actually a custom report module used. PstatsImport CProfile from Impor

(500)] Map (Lambdax:x.start (), threads) q.join ()Open 500 threads, continue to remove the task from the queue to do ...Multiprocessing + Queue Version:You can't open 65,535 of processes? Or with the Producer-consumer modelImportMultiprocessingdefScan (port): S=socket.socket () s.settimeout (0.1) ifS.CONNECT_EX (('localhost', port) = =0:PrintPort'Open's.close ()defworker (q): while notq.empty (): Port=Q.get ()Try: Scan (port)finally: Q.task_done ()if __name__=='__main__': Q=Multiprocessing.

thread is using CPU resources at a time.Iii. SummaryEach process has its own data space, so the inter-process communication and data sharing will be more complex;Threads share the same runtime environment and share the same piece of data space, and data sharing and inter-thread communication are relatively straightforward.In I/O intensive operation, multi-process and multi-threaded operation efficiency is relatively small;In CPU-intensive operation, multi-process operation efficiency is higher

The Cprofile parser can be used to calculate the entire run time of a program, and it can calculate the run time of each function separately, and tell you how many times this function is calleddef foo ():PassImport cprofilecprofile.run ('foo ()')or use the command line.Python-m CProfile myscript.pyPython-m cprofile-o result. myscript.py #把结果输出到result. OutPython-m cprofile-o resultout-s cumulative myscript. PY #-S cumulative switch tells CProfile to sort the cumulative time spent on each fun

From locust import TaskSet, task, HttplocustImport queueClass Userbehavior (TaskSet):@taskdef test_register (self):Try# get_nowait () does not take data directly crashes; get () No data will waitdata = Self.locust.user_data_queue.get_nowait () # Value order ' username ': ' test0000 ', ' username ': ' test0001 ', ' username ': ' Test0002 ' ...Except queue. Empty: # When the data is not taken, go herePrint (' account data run out, test ended. ')Exit (0)Print (' Register with User: {}, pwd: {} '. F

First, the conclusion:File r+ Open:1. Write () cannot implement insert write, it always overwrites write or append write;2. If the file is open as write (), overwrite the write from the beginning;3. If the file is open, use F.seek () to specify the position of the file pointer, and then execute F.write () to write from the pointer position (overwrite write);4. If the file is opened, execute the ReadLine () before executing write (), the implementation is additional writeFile A + open:1. When the

Topics on the Python Application monitoring platform First of all, this is not a monitoring framework for everyone's business, I was in the last company, my department's monitoring framework ... When we first entered the field, the Nagios and cacti were used for monitoring. Two very powerful monitoring platform, scalability is also very good. If you want to use a platform to achieve alarm and performance

')) Threads.append (t) forTinchThreads:time.sleep (0.5)#Set think Time #print "thread%s"%t #打印线程T.setdaemon (True) T.start () t.join () Endtime=Datetime.datetime.now ()Print "Request End Time%s"%Endtime Time.sleep (3) Averagetime="{:. 3f}". Format (float (sum (myreq.times))/float (Len (myreq.times)))#calculates the average of an array, preserving 3 decimal places Print "Average Response Time%s Ms"%averagetime#Print average response timeUsetime = str (Endtime-starttime) Hour= Usetime.sp

In the previous article about what the ADB is, as well as the commonly used commands, let's take a look at the ADB to look at the performance parameters in mobile devices, first of all to see the APK package name and the default activity name there are several ways, the following description of 2 First Kind 1 Open cmd Toggle directory D:\tool\android-sdk_r24.4.1-windows\android-sdk-windows\build-tools\25.0.3 // Get APK PackageName and classname