0973fbe21f
This goal is to implement the process set out in the 2018-10-24 Python Update Process TC resolution[1], for the Train cycle to ensure unit testing is in place for all of the Tested Runtimes for Train[2]. In practice, this generally means adding unit tests for Python 3.7 and dropping unit tests for Python 3.5. Using the Zuul template for Train will ensure that all projects that support Python3 will be tested against the agreed runtime versions, and make it easier to update them in future. [1]https://governance.openstack.org/tc/resolutions/20181024-python-update-process.html [2]https://governance.openstack.org/tc/reference/runtimes/train.html Change-Id: I095770fabafda1a7735c2711d4df061a6dc2bb78 Depends-On: https://review.opendev.org/#/c/641878/
112 lines
3.2 KiB
INI
112 lines
3.2 KiB
INI
[metadata]
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name = nova
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summary = Cloud computing fabric controller
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description-file =
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README.rst
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author = OpenStack
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author-email = openstack-discuss@lists.openstack.org
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home-page = https://docs.openstack.org/nova/latest/
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classifier =
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Environment :: OpenStack
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Intended Audience :: Information Technology
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Intended Audience :: System Administrators
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License :: OSI Approved :: Apache Software License
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Operating System :: POSIX :: Linux
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Programming Language :: Python
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Programming Language :: Python :: 2
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Programming Language :: Python :: 2.7
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Programming Language :: Python :: 3
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Programming Language :: Python :: 3.6
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Programming Language :: Python :: 3.7
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[global]
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setup-hooks =
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pbr.hooks.setup_hook
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[files]
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data_files =
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etc/nova =
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etc/nova/api-paste.ini
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etc/nova/rootwrap.conf
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etc/nova/rootwrap.d = etc/nova/rootwrap.d/*
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packages =
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nova
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[entry_points]
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oslo.config.opts =
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nova.conf = nova.conf.opts:list_opts
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oslo.config.opts.defaults =
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nova.conf = nova.common.config:set_middleware_defaults
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oslo.policy.enforcer =
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nova = nova.policy:get_enforcer
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oslo.policy.policies =
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# The sample policies will be ordered by entry point and then by list
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# returned from that entry point. If more control is desired split out each
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# list_rules method into a separate entry point rather than using the
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# aggregate method.
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nova = nova.policies:list_rules
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nova.compute.monitors.cpu =
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virt_driver = nova.compute.monitors.cpu.virt_driver:Monitor
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console_scripts =
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nova-api = nova.cmd.api:main
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nova-api-metadata = nova.cmd.api_metadata:main
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nova-api-os-compute = nova.cmd.api_os_compute:main
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nova-compute = nova.cmd.compute:main
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nova-conductor = nova.cmd.conductor:main
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nova-console = nova.cmd.console:main
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nova-consoleauth = nova.cmd.consoleauth:main
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nova-dhcpbridge = nova.cmd.dhcpbridge:main
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nova-manage = nova.cmd.manage:main
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nova-network = nova.cmd.network:main
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nova-novncproxy = nova.cmd.novncproxy:main
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nova-policy = nova.cmd.policy:main
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nova-rootwrap = oslo_rootwrap.cmd:main
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nova-rootwrap-daemon = oslo_rootwrap.cmd:daemon
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nova-scheduler = nova.cmd.scheduler:main
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nova-serialproxy = nova.cmd.serialproxy:main
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nova-spicehtml5proxy = nova.cmd.spicehtml5proxy:main
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nova-status = nova.cmd.status:main
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nova-xvpvncproxy = nova.cmd.xvpvncproxy:main
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wsgi_scripts =
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nova-api-wsgi = nova.api.openstack.compute.wsgi:init_application
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nova-metadata-wsgi = nova.api.metadata.wsgi:init_application
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nova.ipv6_backend =
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rfc2462 = nova.ipv6.rfc2462
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account_identifier = nova.ipv6.account_identifier
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nova.scheduler.driver =
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filter_scheduler = nova.scheduler.filter_scheduler:FilterScheduler
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fake_scheduler = nova.tests.unit.scheduler.fakes:FakeScheduler
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[egg_info]
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tag_build =
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tag_date = 0
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tag_svn_revision = 0
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[compile_catalog]
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directory = nova/locale
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domain = nova
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[update_catalog]
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domain = nova
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output_dir = nova/locale
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input_file = nova/locale/nova.pot
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[extract_messages]
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keywords = _ gettext ngettext l_ lazy_gettext
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mapping_file = babel.cfg
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output_file = nova/locale/nova.pot
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[wheel]
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universal = 1
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[extras]
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osprofiler =
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osprofiler>=1.4.0 # Apache-2.0
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