Result for 03132C5D3A954DC069F14B421CA71EFF54B499BB

Query result

Key Value
FileName./usr/lib/python2.6/site-packages/celery/backends/amqp.pyo
FileSize10841
MD58A227493AAEB238C25C07C294DB92B81
SHA-103132C5D3A954DC069F14B421CA71EFF54B499BB
SHA-25671BCA4716FB7E4580C9CBA20A2B04F7D616C06CB269CBCA84278C7F3DC5B627D
SSDEEP192:QPsV04IJfvNWstEj/pIYYrK1rGAUK4P75Tl+0PPjWX0b6WrMHeFPALwE:N2J3NWstETAurGA0lT40SX0joHeFP3E
TLSHT17E2245C5A3B8896FEB76063671F0030BDE66F17725026B43613CA03669D9399C63F389
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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