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