Result for 02F5FD81535584C125EFE49B3DD92A09CB05C1DF

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/celery/tests/utilities/test_platforms.pyo
FileSize26566
MD572F875D8C8923F461C7055152831CFD8
SHA-102F5FD81535584C125EFE49B3DD92A09CB05C1DF
SHA-256BDEEBA787018BAA2738FCFC44F5C622F06F51DEE5FAE82826DDA4407CF6A3C57
SSDEEP192:qGhEus+IklIbOAIPwoe7EfITSc0sngbM+ZuUdMieHL4OsZe6+D/T0j1zaBJUdTQ:2+IkabO1wJdvYMbd0ZefD/TxBJUdU
TLSHT134C26D80B3B68D57E2A14532E6F10317EEB4F0A37901B7A5317CA07E5DD875AC46A3CA
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5313F408CD4E48C5C99F5B530BE6F459E
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
PackageRelease4.fc20
PackageVersion3.0.19
SHA-196BD5146AFE8100BDFD8DD807103D06AD6D7F9D3
SHA-25667E91DDD4DEA28FF16A5734389815FA748A0E2BB5B440305848A794EA2FB0C52
Key Value
MD57BAC8D3EB153BF7CF0F6BBB2FC1345BE
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
PackageRelease4.fc20
PackageVersion3.0.19
SHA-121AECBF834F753AAD30F68CDCBE8E0A7D70FF8C6
SHA-256F1BC6BDEB4B1C93A31F03C5A7064B5B64BA6924930705B7E222277D8BEED58D6