Result for 04BCB859245BF5072A1FC63708DA6F5C2FCED196

Query result

Key Value
FileName./usr/share/doc/python-celery-doc/html/internals/protocol.html
FileSize39174
MD54D04D60BD0660C698ACB1F71A14AE8B0
SHA-104BCB859245BF5072A1FC63708DA6F5C2FCED196
SHA-256FF2A0CB81C700414BD92BDF34F582E06D025C743D6FD918B7836B973C41622D8
SSDEEP768:mryU9tDU9r0oo/RC7QKSuLaGsFaOSIadUdZbiBPfyvCJFL3:mHI03/y6Adanbmv
TLSHT1F20395D0E5F6C937053B84CBA6EE5F26B5E1042AE4960405F3FC87B947DDC80790BA6A
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
FileSize1720472
MD5A1544012A67EB75074F1B99410218154
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
PackageVersion4.2.1-2fakesync1
SHA-16C1194BCC34CC2443C0EC57B633BA893B4DCE04A
SHA-2560F092CBADFADFB19BF27DDFAE2FE4619D634364322D91E64BC7B0B935F277E11