upstream/mercurial-mirror Files · contrib/benchmarks/perf.py

perf: perform a garbage collection before each iteration...

perf: perform a garbage collection before each iteration Currently, no explicit garbage collection is performed when running the microbenchmarks in `hg perf`. I think this is wrong because garbage collection can have a significant impact on execution times. And, if gc is triggered via the default heuristics, it will fire effectively randomly during subsequent benchmark iterations due to variable amount of garbage left over from previous runs. Running a gc before invoking the measured function will help ensure state is more consistent across all iterations.

Philippe Pepiot - - Load All Authors

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      # perf.py - asv benchmarks using contrib/perf.py extension

      #

      # Copyright 2016 Logilab SA <contact@logilab.fr>

      #

      # This software may be used and distributed according to the terms of the

      # GNU General Public License version 2 or any later version.

      from __future__ import absolute_import

      from . import perfbench

      @perfbench()

      def track_tags(perf):

          return perf("perftags")

      @perfbench()

      def track_status(perf):

          return perf("perfstatus", unknown=False)

      @perfbench(params=[('rev', ['1000', '10000', 'tip'])])

      def track_manifest(perf, rev):

          return perf("perfmanifest", rev)

      @perfbench()

      def track_heads(perf):

          return perf("perfheads")

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				# perf.py - asv benchmarks using contrib/perf.py extension
				#
				# Copyright 2016 Logilab SA <contact@logilab.fr>
				#
				# This software may be used and distributed according to the terms of the
				# GNU General Public License version 2 or any later version.

				from __future__ import absolute_import

				from . import perfbench

				@perfbench()
				def track_tags(perf):
				return perf("perftags")

				@perfbench()
				def track_status(perf):
				return perf("perfstatus", unknown=False)

				@perfbench(params=[('rev', ['1000', '10000', 'tip'])])
				def track_manifest(perf, rev):
				return perf("perfmanifest", rev)

				@perfbench()
				def track_heads(perf):
				return perf("perfheads")