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automation: support building Windows wheels for Python 3.7 and 3.8...

automation: support building Windows wheels for Python 3.7 and 3.8 The time has come to support Python 3 on Windows. Let's teach our automation code to produce Windows wheels for Python 3.7 and 3.8. We could theoretically support 3.5 and 3.6. But I don't think it is worth it. People on Windows generally use the Mercurial installers, not wheels. And I'd prefer we limit variability and not have to worry about supporting earlier Python versions if it can be helped. As part of this, we change the invocation of pip to `python.exe -m pip`, as this is what is being recommended in Python docs these days. And it seemed to be required to avoid a weird build error. Why, I'm not sure. But it looks like pip was having trouble finding a Visual Studio files when invoked as `pip.exe` but not when using `python.exe -m pip`. Who knows. Differential Revision: https://phab.mercurial-scm.org/D8478

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")