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profiling: make profiling functions context managers (API)
This makes profiling more flexible since we can now call multiple
functions when a profiler is active. But the real reason for this
is to enable a future consumer to profile a function that returns
a generator. We can't do this from the profiling function itself
because functions can either be generators or have return values:
they can't be both. So therefore it isn't possible to have a generic
profiling function that can both consume and re-emit a generator
and return a value.
author | Gregory Szorc <gregory.szorc@gmail.com> |
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date | Sun, 14 Aug 2016 18:25:22 -0700 |
parents | 4b0fc75f9403 |
children | 47ef023d0165 |
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#!/usr/bin/env python # # An example hgweb CGI script, edit as necessary # See also https://mercurial-scm.org/wiki/PublishingRepositories # Path to repo or hgweb config to serve (see 'hg help hgweb') config = "/path/to/repo/or/config" # Uncomment and adjust if Mercurial is not installed system-wide # (consult "installed modules" path from 'hg debuginstall'): #import sys; sys.path.insert(0, "/path/to/python/lib") # Uncomment to send python tracebacks to the browser if an error occurs: #import cgitb; cgitb.enable() from mercurial import demandimport; demandimport.enable() from mercurial.hgweb import hgweb, wsgicgi application = hgweb(config) wsgicgi.launch(application)