Result for 02FBB64128F367AFE810F61DD1514A24148C2184

Query result

Key Value
FileName./usr/share/doc/python-celery-doc/html/_modules/celery/_state.html
FileSize19205
MD56C093DF293B1EDF4CD6D62337CB8F49C
SHA-102FBB64128F367AFE810F61DD1514A24148C2184
SHA-2561DE70D9094F37620548C39B9ED87FD22EF5EAD6EA8A2C4560D5FF6D22ABF21EA
SSDEEP192:0j5W7zFtkazSF9w6Zyz++YWLWj6z7a/agVPJV/9PtqUUYILDRtBtHGBYWJkWPc1F:0wvqo4+Gn4+Djkkcb1W6P
TLSHT1668263D4A5FBC177413784C762EE0B36B4E1452AE8961540B3ED97B80BECE847807DAE
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
FileSize1343220
MD57301FE2991F0C8DFF3CEFAFA440B1CCF
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
PackageVersion3.1.18-1ubuntu1
SHA-12F5C9F5ED602838B9C8D33116EB9290B5C738D62
SHA-25607CDC498C687A9C5FF48DA2E7074F4514E0BAAB661174DAE0731BBAF08A1F4E7