Result for 02DC7C1C21DC2C2C79E352802121E24EB9559885

Query result

Key Value
FileName./usr/lib/python2.6/site-packages/celery/tests/test_backends/test_redis_unit.pyo
FileSize5665
MD55473DB8D16E7C2A97092083CE808329F
SHA-102DC7C1C21DC2C2C79E352802121E24EB9559885
SHA-256AE5E58F72D29169AAF61A39C53D602825D60E938A5A8BD5E1BC4621FF8802445
SSDEEP96:BIfs6nalXpP3GpE9t2b1R7sCyhiJD/AMDwvJ3mraO:BIfsyal5P3GpEKbXsCyhilAVvM+O
TLSHT153C1CF40E3B7856BDA334437E3F2120BFAA9F17752026B01153864B95DAC789C6AE7C9
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
MD5F06C01C5A7AF24490C5C9DD61DCC6FD0
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
PackageRelease2.el6
PackageVersion2.2.8
SHA-19386F5990C45858F00FA7CA94C6C1962F9598914
SHA-256C8D1DD66675ECEEEE1212EF84C73CC848D62DA2D73419901E99673E33006FB2E