celery 4.2.1-0ubuntu3 source package in Ubuntu

Changelog

celery (4.2.1-0ubuntu3) cosmic; urgency=medium

  * New upstream release.
  * Add pull requessts #4852 and #4902 for Python 3.7 compatibility.
  * Skip two unfixed tests, still failing with 3.7. See celery #4913.
  * Run the autopkg tests with -k-test_sphinx, same as done for the build
    tests.

 -- Matthias Klose <email address hidden>  Mon, 30 Jul 2018 08:41:29 +0200

Upload details

Uploaded by:
Matthias Klose on 2018-07-30
Uploaded to:
Cosmic
Original maintainer:
Debian Python Modules Team
Architectures:
all
Section:
python
Urgency:
Medium Urgency

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Builds

Cosmic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
celery_4.2.1.orig.tar.gz 1.3 MiB 1d13fbc6adf00ed0dc2a9eaeaf9637fa5551c86bef7019761c1e3cc9fedf70d1
celery_4.2.1-0ubuntu3.debian.tar.xz 24.3 KiB 17d8bc4fbd06f6aeb82407c0e7f06c44fac71f6ef3ced09ed958ea97a6beaef6
celery_4.2.1-0ubuntu3.dsc 3.0 KiB 8881a7fedaf7e8e837b0ac4ece41f489b9c2be52f5632509161fa3014678bb89

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Binary packages built by this source

python-celery: async task/job queue based on message passing (Python2 version)

 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 The execution units, called tasks, are executed concurrently on one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the Python 2 version of the library.

python-celery-common: async task/job queue based on message passing (common files)

 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 The execution units, called tasks, are executed concurrently on one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the common files of the library.

python-celery-doc: async task/job queue based on message passing (Documentation)

 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 The execution units, called tasks, are executed concurrently on one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the documentation.

python3-celery: async task/job queue based on message passing (Python3 version)

 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 The execution units, called tasks, are executed concurrently on one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the Python 3 version of the library.