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# Copyright (C) 2007 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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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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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., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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"""Benchmarks for Knit performance"""
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from bzrlib.benchmarks import Benchmark
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from bzrlib.tests.test_knit import CompiledKnitFeature
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class BenchKnitIndex(Benchmark):
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"""Benchmark Knit index performance."""
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def create_50k_index(self):
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"""Create an knit index file with 50,000 entries.
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This isn't super realistic, but it *is* big :)
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The file 'test.kndx' will be created.
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rev_id = generate_ids.gen_revision_id('long.name@this.example.com')
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versions = [(rev_id, ('fulltext',), 0, 200, [])]
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for i in xrange(49999):
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if alt_parent is not None:
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parent_ids = [rev_id, alt_parent]
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# The *next* entry will be a merge
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rev_id = generate_ids.gen_revision_id('long.name@this.example.com')
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versions.append((rev_id, ('line-delta',), pos, 200, parent_ids))
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t = self.get_transport()
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kndx = knit._KnitIndex(t, 'test.kndx', 'w', create=True,
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kndx.add_versions(versions)
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def setup_load_data_c(self):
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self.requireFeature(CompiledKnitFeature)
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orig = knit._load_data
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knit._load_data = orig
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self.addCleanup(reset)
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from bzrlib._knit_load_data_c import _load_data_c
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knit._load_data = _load_data_c
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def setup_load_data_py(self):
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orig = knit._load_data
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knit._load_data = orig
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self.addCleanup(reset)
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from bzrlib._knit_load_data_py import _load_data_py
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knit._load_data = _load_data_py
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def test_read_50k_index_c(self):
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self.setup_load_data_c()
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self.create_50k_index()
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t = self.get_transport()
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kndx = self.time(knit._KnitIndex, t, 'test.kndx', 'r')
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def test_read_50k_index_c_again(self):
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self.setup_load_data_c()
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self.create_50k_index()
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t = self.get_transport()
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kndx = self.time(knit._KnitIndex, t, 'test.kndx', 'r')
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def test_read_50k_index_py(self):
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self.create_50k_index()
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self.setup_load_data_py()
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t = self.get_transport()
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kndx = self.time(knit._KnitIndex, t, 'test.kndx', 'r')
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def test_read_50k_index_py_again(self):
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self.create_50k_index()
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self.setup_load_data_py()
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t = self.get_transport()
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kndx = self.time(knit._KnitIndex, t, 'test.kndx', 'r')