Result for 04FAF34059E95F810DF8AABE26ED92603D135377

Query result

Key Value
FileName./usr/share/doc/python-celery-doc/html/internals/reference/celery.backends.redis.html
FileSize13002
MD55D23FC36F8DC55BDB279FA4CD33C5C49
SHA-104FAF34059E95F810DF8AABE26ED92603D135377
SHA-25643E870737385295694BD2FF1F5651E190AE3B8F00F9A63DFF39AF9646D6BE2A3
SSDEEP192:nMndWjn1QJmOqfScfXol45mVfqBOkOseeOEsT1W1n5Qp:njjn1WIfScfXol45efqBOkOsuT1W1n5+
TLSHT18742200945F1C9339B7386FAF2F62F2BF5D9416F98100844F8AC22D94B9AE41958B70E
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1285684
MD575291D431FFDBE829C2CED01184E461D
PackageDescriptionasync 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-celery-doc
PackageSectiondoc
PackageVersion3.1.6-1ubuntu1
SHA-11E1647FBA0618A6B2931EE50A2384845607CC348
SHA-2568A79D11EE0DE7AB55D268C4B3CDB93651D88E83A5D89D73FD2D87F715916E5A7