Result for 02CA67B6326F7A2FF4413BE3D40E574E309486A5

Query result

Key Value
FileName./usr/lib/python2.6/site-packages/celery/loaders/base.pyo
FileSize7062
MD5BF154AD8EFF94AA1A80B214AF0C62AF3
SHA-102CA67B6326F7A2FF4413BE3D40E574E309486A5
SHA-256D61B49FED595587BB1478E6B78166270E4046FD28B2CA85C42FBF469CFDB0E54
SSDEEP96:wCqugNVx3MNIOePteecuEN1OVEv16EafYaA5TmN+naU+:wCqugNwN6GN1OVEv2fW5TmrU+
TLSHT1D4E14080A3F98DA7D2B614B681F1031B9970F1B395017B42712CA07E2FDD6A9D47B789
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