Result for 044083C5362594B57B7295CA02E71A33B26C21DF

Query result

Key Value
FileName./usr/lib/python2.6/site-packages/celery/tests/compat.pyo
FileSize4082
MD59922682A7E5E5EB82C95FA259274E30D
SHA-1044083C5362594B57B7295CA02E71A33B26C21DF
SHA-256E2C432062108C02E75B66CBBBC22060B044E3272E8E65FFED433CE51FD492C1F
SSDEEP96:i1B1Sxvksp+MJnBZiIStcpEX8vwtnz3rcqpFZyhpSYJ+xjg7QRF:i9S5ko1pBoLtcprvOTrcqwfGzRF
TLSHT1858152C0A37E5267EB250072B2B2035B92C1F97792057740322CB47A2BDD6A5C2B7395
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