Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1723712
MD5	49F9CF427AA43E4013B61DA4FB9DA999
PackageDescription	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.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python-celery-doc
PackageSection	doc
PackageVersion	4.2.1-3
SHA-1	53DB966450E12B0895D6737048A56C22152EF35C
SHA-256	F90C6FCD9C9D596550867B0D2B8259CAEC41DB512290BCB6770C00776F8DBAB1

Key	Value
FileSize	1723364
MD5	338068F5AE821648D1919DA8A96D8128
PackageDescription	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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-celery-doc
PackageSection	doc
PackageVersion	4.2.1-5fakesync1
SHA-1	74232B17DEDC9E0272322547EB9A029D0DA33792
SHA-256	FA72F898A3D760496CE5E9369B77B37E4CBC0C2360449F1B49D2B2298831B7D5