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63 lines
1.6 KiB
Python
63 lines
1.6 KiB
Python
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#! /usr/bin/env python
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"""
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Depends: ``objgraph`` (third party Python library)
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``wx._core`` is a very nice module to test Jedi's speed and memory performance
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on big Python modules. Its size is ~16kLOC (one file). It also seems to look
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like a typical big Python modules. A mix between a lot of different Python
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things.
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You can view a markup version of it here:
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https://github.com/wxWidgets/wxPython/blob/master/src/gtk/_core.py
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"""
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import resource
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import time
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import sys
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try:
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import urllib.request as urllib2
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except ImportError:
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import urllib2
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import gc
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from os.path import abspath, dirname
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import objgraph
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sys.path.insert(0, dirname(dirname(abspath(__file__))))
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import jedi
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def process_memory():
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"""
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In kB according to
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https://stackoverflow.com/questions/938733/total-memory-used-by-python-process
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"""
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return resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
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uri = 'https://raw.githubusercontent.com/wxWidgets/wxPython/master/src/gtk/_core.py'
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wx_core = urllib2.urlopen(uri).read()
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def run():
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start = time.time()
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print('Process Memory before: %skB' % process_memory())
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# After this the module should be cached.
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# Need to invent a path so that it's really cached.
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jedi.Script(wx_core, path='foobar.py').complete()
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gc.collect() # make sure that it's all fair and the gc did its job.
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print('Process Memory after: %skB' % process_memory())
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print(objgraph.most_common_types(limit=50))
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print('\nIt took %s seconds to parse the file.' % (time.time() - start))
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print('First pass')
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run()
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print('\nSecond pass')
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run()
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print('\nThird pass')
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run()
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