Result for 02B6749F787670303541D329BCF54A2024E70A40

Query result

Key Value
FileName./usr/share/doc/python-celery-doc/html/reference/celery.events.state.html
FileSize19903
MD5067843529A9F26E9F66C96F69FD2E577
SHA-102B6749F787670303541D329BCF54A2024E70A40
SHA-2565836E38505C8FBDDEF6C16B118C8B6713E835FB11120794C2B556A5FD4678992
SSDEEP384:Gyr5nh93zOlG94Eta9TXgcQkYnoetyo1Unn16:Gydz3zEG94zvQkYrybM
TLSHT191922F1A84614537DDB757BED3DC1B33B1E2409FFC12064574BCCE996B83D86A01E8AA
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
FileSize758910
MD53819CDBE30E04C1688134841702B12F4
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
PackageVersion2.4.6-1
SHA-1F491A322F8B9F0E18D99F88FA9413B6C6CB51667
SHA-25680E769E62B9C34FFF1DEB5C913A7E156E5D416CC95EEC2ED627A17AAE1B8C273