Result for 0176324B6F412636A2782A06B1FB5C1BCA0EEB9D

Query result

Key Value
FileName./usr/lib/python2.6/site-packages/celery/tests/functional/tasks.pyo
FileSize954
MD5FB7CEF30EFDBA4A3612FC8BB949844F8
SHA-10176324B6F412636A2782A06B1FB5C1BCA0EEB9D
SHA-25606A140A5310E3318279338FCF94BD8D33023F72B38C88C9573F5EDA69A9E8090
SSDEEP24:qcQbkLLw18MWIFyd1Y65MWRUl80dyFMWcr+qe/MWeAC:+bg/MWqGH5MWRUkFMWD/MW1C
TLSHT18B115B8872B641AFDBB1693641E2022FE678D53327027602213C60B75CAD799493DA8A
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
MD5AE020F2062E75119AA60A4401C6DD314
PackageArchnoarch
PackageDescriptionAn 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 using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. 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.
PackageMaintainerFedora Project
PackageNamepython-celery
PackageRelease1.el6
PackageVersion2.2.10
SHA-17E529BF1549D15B9F6178B03C932769F38F295D9
SHA-256E89FB5E82C2AB39D9258E428DD891539A09A6EF6EAD0DABB0E8E2AA9D89FCBA7