Result for 005B020E3EBA50AD6BC9F9B748943B232CFCA3E6

Query result

Key Value
FileName./usr/lib/python2.6/site-packages/celery/loaders/__init__.pyo
FileSize1444
MD56EC34622C0CE63CEF7EE39B3DA664800
SHA-1005B020E3EBA50AD6BC9F9B748943B232CFCA3E6
SHA-2562EBB6134D4BF7284083D635D66DA15E96F2D6476EAD2E7FEC8161EC5FE95D1E1
SSDEEP24:DgY2hwbJ/Gn1YOJYhA7F/NYOUdf6EVPIYOnQFoIYOdM0roNYOJ9:D4wVe1YkNY/EEVPIYnoIYt00NYG
TLSHT1B631D2C473B6C66BC770C57AC1910A1E9468F4739501A3527A30107E5CDC68EC8BB78D
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