Result for 0472DF6BE1DBD5A15614B1A5020C61B77AC3F39B

Query result

Key Value
FileName./usr/lib/python2.6/site-packages/celery/backends/__init__.pyo
FileSize1540
MD5FCB150F2AF054716B574F64CC5FCE008
SHA-10472DF6BE1DBD5A15614B1A5020C61B77AC3F39B
SHA-25645CBABDAF77DACEA7C4F9FC97B27E55201086028480933C73FD4FB353504E5EF
SSDEEP24:lHjHlnxa02rES2V2EWr2lIi2W24u2/xePLtWHs6eopx6qilNk9uib6YUxhPvUnn:/niQHY6lIXb4jMPLG6H/MUbXO
TLSHT15631DCCC9375CAA7CFB9593AF4F00307EC5DA97F16502740B915B0AA19B8F5E886E24C
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
MD5F06C01C5A7AF24490C5C9DD61DCC6FD0
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
PackageRelease2.el6
PackageVersion2.2.8
SHA-19386F5990C45858F00FA7CA94C6C1962F9598914
SHA-256C8D1DD66675ECEEEE1212EF84C73CC848D62DA2D73419901E99673E33006FB2E