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# Copyright (C) 2007, 2009, 2010, 2011 Canonical Ltd
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# Copyright (C) 2005, 2006 Canonical Ltd
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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"""Tests for profiling data collection."""
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from bzrlib import errors, tests
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from bzrlib.tests import (
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from bzrlib import tests
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class _LSProfFeature(tests.Feature):
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from bzrlib import lsprof
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LSProfFeature = _LSProfFeature()
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_TXT_HEADER = " CallCount Recursive Total(ms) " + \
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class TestStatsSave(tests.TestCaseInTempDir):
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_test_needs_features = [features.lsprof_feature]
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_test_needs_features = [LSProfFeature]
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super(tests.TestCaseInTempDir, self).setUp()
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data1 = cPickle.load(open(f))
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self.assertEqual(type(data1), bzrlib.lsprof.Stats)
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class TestBzrProfiler(tests.TestCase):
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_test_needs_features = [features.lsprof_feature]
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def test_start_call_stuff_stop(self):
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profiler = bzrlib.lsprof.BzrProfiler()
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stats = profiler.stop()
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lines = [str(data) for data in stats.data]
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lines = [line for line in lines if 'a_function' in line]
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self.assertLength(1, lines)
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def test_block_0(self):
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# When profiler_block is 0, reentrant profile requests fail.
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self.overrideAttr(bzrlib.lsprof.BzrProfiler, 'profiler_block', 0)
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profiler = bzrlib.lsprof.BzrProfiler()
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self.assertRaises(errors.BzrError, profiler.start)
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inner_calls.append(True)
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bzrlib.lsprof.profile(inner)
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self.assertLength(1, inner_calls)
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def test_block_1(self):
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# When profiler_block is 1, concurrent profiles serialise.
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# This is tested by manually acquiring the profiler lock, then
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# starting a thread that tries to profile, and releasing the lock.
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# We know due to test_block_0 that two profiles at once hit the lock,
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# so while this isn't perfect (we'd want a callback on the lock being
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# entered to allow lockstep evaluation of the actions), its good enough
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# to be confident regressions would be caught. Alternatively, if this
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# is flakey, a fake Lock object can be used to trace the calls made.
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calls.append('profiled')
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bzrlib.lsprof.profile(profiled)
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calls.append('after_profiled')
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thread = threading.Thread(target=do_profile)
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bzrlib.lsprof.BzrProfiler.profiler_lock.acquire()
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bzrlib.lsprof.BzrProfiler.profiler_lock.release()
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self.assertLength(2, calls)