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

widening: duplicate generateellipsesbundle2() for widening...

widening: duplicate generateellipsesbundle2() for widening The widening and the non-widening code are quite different. It will be clearer to have them as sepearate functions. To start with, I've just copied it exactly, so it's clearer over the next few patches how they're different. The new function should gradually become more similar to bundle2.widen_bundle(), and should perhaps eventually be merged with that function. However, I've left it in narrowbundle2.py for now since it still depends on constants like _KILLNODESIGNAL there. Differential Revision: https://phab.mercurial-scm.org/D7092

Augie Fackler - - 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")