Result for 057221426671CD1137B5E00AA9FEC1550D91BB28

Query result

Key Value
FileName./usr/lib/python3.3/site-packages/celery/tests/backends/test_cache.py
FileSize8564
MD52B6DB67192CE9E44EB0CE873DA9D5075
SHA-1057221426671CD1137B5E00AA9FEC1550D91BB28
SHA-2569DF74CE2ED2068E41C7DF1CE5FFE302FC857BB95E5AA1F61EB86BB7D82B1E0F1
SSDEEP96:MNKKey86XCr2L3SDWtDY98UmwsFm1PvquFSyDM45Q+QlJwxwj:MNKn6fSDeDY97mDMP5FLDrqp
TLSHT17C02125C57334C21EB63AA6AE0EAA0339E1E9E170B0C6468F9BC429C1F511B590DDDFC
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
MD572C521863B1706EC25A92444C511D458
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
PackageNamepython3-celery
PackageRelease4.fc20
PackageVersion3.0.19
SHA-12D1FD3DF14359932CDB295F4168C44F86C6013D5
SHA-2561C5DF61FB93AA545A60EBA2CEF77880256C119AA8AE0263BC54F3BCF3519B9A7
Key Value
MD55F1C1177B7FC41870EA7D7B25B9E5B05
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
PackageNamepython3-celery
PackageRelease4.fc20
PackageVersion3.0.19
SHA-1D1AB5F53BBB23332BA675E08671B9BA7796645D8
SHA-256B96C248FD620BD1A7B02999F3A0AC37FEDCCF518F9BF0DA831D30774F9F0B290