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65 lines
2.5 KiB
Python
65 lines
2.5 KiB
Python
#
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# __COPYRIGHT__
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#
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# Permission is hereby granted, free of charge, to any person obtaining
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# a copy of this software and associated documentation files (the
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# "Software"), to deal in the Software without restriction, including
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# without limitation the rights to use, copy, modify, merge, publish,
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# distribute, sublicense, and/or sell copies of the Software, and to
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# permit persons to whom the Software is furnished to do so, subject to
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# the following conditions:
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#
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# The above copyright notice and this permission notice shall be included
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# in all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY
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# KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
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# WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
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# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
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# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
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# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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#
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"""
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This configuration is for timing how we evaluate long chains of
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dependencies, specifically when -j is used.
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We set up a chain of $TARGET_COUNT targets that get built from a
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Python function action with no source files (equivalent to "echo junk >
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$TARGET"). Each target explicitly depends on the next target in turn,
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so the Taskmaster will do a deep walk of the dependency graph.
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This test case was contributed by Kevin Massey. Prior to revision 1468,
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we had a serious O(N^2) problem in the Taskmaster when handling long
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dependency chains like this. That was fixed by adding reference counts
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to the Taskmaster so it could be smarter about not re-evaluating Nodes.
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"""
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import TestSCons
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# Full-build time of just under 10 seconds on ubuntu-timings slave,
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# as determined by bin/calibrate.py on 9 December 2009:
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#
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# run 1: 3.211: TARGET_COUNT=50
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# run 2: 11.920: TARGET_COUNT=155
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# run 3: 9.182: TARGET_COUNT=130
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# run 4: 10.185: TARGET_COUNT=141
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# run 5: 9.945: TARGET_COUNT=138
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# run 6: 10.035: TARGET_COUNT=138
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# run 7: 9.898: TARGET_COUNT=137
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# run 8: 9.840: TARGET_COUNT=137
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# run 9: 10.054: TARGET_COUNT=137
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# run 10: 9.747: TARGET_COUNT=136
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# run 11: 9.778: TARGET_COUNT=136
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# run 12: 9.743: TARGET_COUNT=136
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#
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# The fact that this varies so much suggests that it's pretty
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# non-deterministic, which makes sense for a test involving -j.
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test = TestSCons.TimeSCons(variables={'TARGET_COUNT':136})
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test.main()
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test.pass_test()
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