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

automation: schedule an EC2Launch run on next boot...

automation: schedule an EC2Launch run on next boot Without this, launching EC2 instances constructed from the AMI won't go through the normal EC2 instance launch machinery. This missing machinery does important things like set up network routes to use the instance metadata service and process any UserData. Since EC2Launch now runs on subsequent boots and UserData is processed, we needed to make setting of UserData conditional on bootstrapping mode. Differential Revision: https://phab.mercurial-scm.org/D7113

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")