Result for 00ED0C287198ABB8FAC779580AE2E89819FFE614

Query result

Key Value
FileName./usr/lib/python2.6/site-packages/celery/concurrency/evg.pyo
FileSize4937
MD5CCD2F8FFD3ECBC0A3B0FC5203017F9D3
SHA-100ED0C287198ABB8FAC779580AE2E89819FFE614
SHA-256777C0502E60009C40EE82DD540FAB7C87D57E830A753EA47CEE982E69219D787
SSDEEP96:hWcLADgQSFt0xMXF+Bo8LOImn3s4mNllM5LtwWwwMYCS7:lUat3X8e8M8hXl8LtfwBE7
TLSHT1B7A1FF80F3B90177CA74687781F2075FAA65F1B3614776927528B0362CDCE89C83ABC6
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