Result for 02030F116239608FDBB514F7E7042056E22F549D

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/celery/contrib/batches.pyo
FileSize8507
MD5885F39FF2DD694897DF9B63201E35720
SHA-102030F116239608FDBB514F7E7042056E22F549D
SHA-2560E6C72A2275B1B3178357DAD4C7D8CDE12C831D18F586868930DF334751275AC
SSDEEP192:Lps/mFHmRgXJWX44T4ZTTvoqZ7LNDlv3J9:mOFHzXwXMjRLF13J9
TLSHT19F02C6C0E7F80267D5A311B6E5F11217AA29F43761007712369CB6B92FD4BB6C87B388
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