Result for 061CDD60ABF9B00F2106E96947CC0CCCAD066928

Query result

Key Value
FileName./usr/share/doc/python-celery-doc/html/userguide/concurrency/eventlet.html
FileSize7975
MD5AB0850074CF877EBFD88F76C3686EF77
SHA-1061CDD60ABF9B00F2106E96947CC0CCCAD066928
SHA-256449EF66D185E6A4718039BA635DBEA70B4A7E92AB190F6EEE38B6BC828AA9669
SSDEEP96:sRf72MG36D9bjmQnyR9A6cEPp60SCQhTK7M19pWU/+hs1DTUsh71T2DYjmAnyl9d:WVjWQna+9ZnWZhsz51WAn4++
TLSHT1D9F1A51649F02673D12306C1DAB05B29BAA3819BE3066C54F0FC89AD6F87E45CA1778F
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