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POHow should I account for subprocess.Popen() overhead when timing in python?
 

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  1. POHow should I account for subprocess.Popen() overhead when timing in python?
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    <p>more-intelligent-members-of-the-coding-community-than-I! I have a python question for you all... :)</p> <p>I am trying to optimize a python script that is (among other things) returning the wall-clock time a subprocess took execute and terminate. I think I'm close with something like this.</p> <pre><code>startTime = time.time() process = subprocess.Popen(['process', 'to', 'test']) process.wait() endTime = time.time() wallTime = endTime - startTime </code></pre> <p>However, I am concerned that the overhead in <code>subprocess.Popen()</code> is inflating my results on older and exotic platforms. My first inclination is to somehow time the overhead caused by <code>subprocess.Popen()</code> by running a simple innocuous command. Such as the following on linux.</p> <pre><code>startTime = time.time() process = subprocess.Popen(['touch', '/tmp/foo']) process.wait() endTime = time.time() overheadWallTime = endTime - startTime </code></pre> <p>Or the following on windows.</p> <pre><code>startTime = time.time() process = subprocess.Popen(['type', 'NUL', '&gt;', 'tmp']) process.wait() endTime = time.time() overheadWallTime = endTime - startTime </code></pre> <p>So, how should I account for <code>subprocess.Popen()</code> overhead when timing in python?</p> <p>Or, what is an innocuous way to sample the overhead from <code>subprocess.Popen()</code>?</p> <p>Or, maybe there's something I haven't considered yet?</p> <p>The caveat is that the solution must be reasonably cross-platform.</p>
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