63 lines
1.9 KiB
Python
Executable File
63 lines
1.9 KiB
Python
Executable File
#!/home/zefirka/advanced-python-homework-2023/devenv/bin/python3
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#
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# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
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# Copyright (c) 2008-2016 California Institute of Technology.
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# Copyright (c) 2016-2023 The Uncertainty Quantification Foundation.
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# License: 3-clause BSD. The full license text is available at:
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# - https://github.com/uqfoundation/dill/blob/master/LICENSE
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'''
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build profile graph for the given instance
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running:
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$ get_gprof <args> <instance>
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executes:
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gprof2dot -f pstats <args> <type>.prof | dot -Tpng -o <type>.call.png
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where:
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<args> are arguments for gprof2dot, such as "-n 5 -e 5"
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<instance> is code to create the instance to profile
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<type> is the class of the instance (i.e. type(instance))
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For example:
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$ get_gprof -n 5 -e 1 "import numpy; numpy.array([1,2])"
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will create 'ndarray.call.png' with the profile graph for numpy.array([1,2]),
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where '-n 5' eliminates nodes below 5% threshold, similarly '-e 1' eliminates
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edges below 1% threshold
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'''
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import sys
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# grab args for gprof2dot
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args = sys.argv[1:-1]
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args = ' '.join(args)
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# last arg builds the object
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obj = sys.argv[-1]
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obj = obj.split(';')
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# multi-line prep for generating an instance
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for line in obj[:-1]:
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exec(line)
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# one-line generation of an instance
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obj = eval(obj[-1])
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# get object 'name'
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objtype = type(obj)
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name = getattr(objtype, '__name__', getattr(objtype, '__class__', objtype))
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# profile dumping an object
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import dill
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import os
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import cProfile
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#name = os.path.splitext(os.path.basename(__file__))[0]
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cProfile.run("dill.dumps(obj)", filename="%s.prof" % name)
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msg = "gprof2dot -f pstats %s %s.prof | dot -Tpng -o %s.call.png" % (args, name, name)
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os.system(msg)
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# get stats
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f_prof = "%s.prof" % name
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import pstats
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stats = pstats.Stats(f_prof, stream=sys.stdout)
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stats.strip_dirs().sort_stats('cumtime')
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stats.print_stats(20) #XXX: save to file instead of print top 20?
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os.remove(f_prof)
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