timeit

问题 Let me start off by saying I know almost nothing about python but have to write a program in three different languages (already done in java and c++). I need to be able to time the execution of a method a certain number of times and then print the time it took for the over-all execution time. I.e. I have function A (which is performSearch(arrayTest) where arrayTest is an array of known size). A is executed 10 times I need to be able to time how long it took from before A was executed to after

问题 I need to measure the time certain parts of my program take (not for debugging but as a feature in the output). Accuracy is important because the total time will be a fraction of a second. I was going to use the time module when I came across timeit, which claims to avoid a number of common traps for measuring execution times . Unfortunately it has an awful interface, taking a string as input which it then eval's. So, do I need to use this module to measure time accurately, or will time

问题 I obtained very surprising results with timeit, can someone tell me if I am doing something wrong ? I am using Python 2.7. This is the contents of file speedtest_init.py: import random to_count = [random.randint(0, 100) for r in range(60)] These are the contents of speedtest.py: __author__ = 'BlueTrin' import timeit def test_init1(): print(timeit.timeit('import speedtest_init')) def test_counter1(): s = """\ d = defaultdict(int); for i in speedtest_init.to_count: d[i] += 1 """ print(timeit

问题 I wrote this simple code (in python) in test.py. I try to run timeit and I don't have any errors but I don't get any information about the time of run. Can you help me ? import timeit def functionsWhile(): "Desc about function" lic = 0 n = 30000 while lic<= n: lic += 1 #print "test" return lic t = timeit.Timer("functionsWhile()", "from __main__ import functionsWhile") try: t.repeat(3, 2) except: t.print_exc() I expect a result such as (EXAMPLE): $>python test.py [0.006793975830078125, 0

问题 I would like to evaluate the performance of numexpr module in python (2.7). For that purpose, I created a random sparse matrix of size (10^5, 10^5). However, the script below throws an error at the expression evaluation step already, saying that it doesn't recognize the object type. What am I doing wrong? Code: import timeit import scipy.sparse as sps import numpy as np import numexpr as ne test_matrix = sps.rand(1e4, 1e4, density=0.01, format='coo', dtype = np.float32) ne.evaluate('sum(test

问题 I have a function, let's call it my_function(*args, **kwargs) , that depending on the arguments passed to it takes anywhere from 30 seconds to many many hours (days). I have a list of different arguments and I want to know how long the functions will take given the arguments. I am still very new to using timeit , but I have learn enough to do this part; however, this wouldn't be the very efficient for my purposes. Any set of arguments that take longer than 4 hours to complete are consider

问题 I have been using the Python timeit module for a long time, but it was only through an interactive Python session or a Unix shell. Now, I am trying to measure some code snippets in the Windows command prompt ( cmd.exe ), but it shows this error: C:\Users\Me>python -m timeit '"-".join(map(str, range(100)))' Traceback (most recent call last): File "C:\Python33\lib\runpy.py", line 160, in _run_module_as_main "__main__", fname, loader, pkg_name) File "C:\Python33\lib\runpy.py", line 73, in _run

问题 I'm having some real trouble with timing a function from within an instance of a class. I'm not sure I'm going about it the right way (never used timeIt before) and I tried a few variations of the second argument importing things, but no luck. Here's a silly example of what I'm doing: import timeit class TimedClass(): def __init__(self): self.x = 13 self.y = 15 t = timeit.Timer("self.square(self.x, self.y)") try: t.timeit() except: t.print_exc() def square(self, _x, _y): print _x**_y

问题 I can't seem to get timeit.timeit to work when I have exceptions in the statement argument passed as string: # after the first and third semicolon, I put 4 spaces timeit.timeit('try:; a=1;except:; pass') This results in: Traceback (most recent call last): File "a.py", line 48, in <module> timeit.timeit('try:; a=1;except:; pass') File "C:\CPython33\lib\timeit.py", line 230, in timeit return Timer(stmt, setup, timer).timeit(number) File "C:\CPython33\lib\timeit.py", line 136, in __init__ code =

问题 I want to test the processing time between 2 identical lists, specifically for a normal list and a numpy list. My code is import timeit import numpy as np t = timeit.Timer("range(1000)") print t.timeit() u = timeit.Timer("np.arange(1000)") print u.timeit() Calculation for t is fine, but for u NameError: global name 'np' is not defined is listed. How should I code it to get the processing time? 回答1: The timeit.Timer class can be used in two different ways. It can either take source code to be