Result for 02357C721BBB6D4F499DDE014E729875D2A6D9BA

Query result

Key Value
FileName./usr/lib/python3.3/site-packages/celery/worker/autoscale.py
FileSize4763
MD5E7B90F841C706E12EA6DD8A8A4C4F9B9
SHA-102357C721BBB6D4F499DDE014E729875D2A6D9BA
SHA-256277F28032F1282D123F29504EB435077F77043701A07B1A0E5FE25C0D63AC394
SSDEEP96:k+jlR7BSE1gwsoX4c5d2GzXJ8IS0Hhv4sLv09hB4CpvrL8YbVT7:3c0g9oX4cxJ4sIz4KvrL8+F
TLSHT159A1C9161627959BC297C82A4966E347226F3913260F6DF978FC915C6F66CE0C0DCCF2
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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