Result for 024E2590DEAD2F7E212EB5F410E08C7D7156ACAB

Query result

Key Value
FileName./usr/lib/python2.6/site-packages/funtests/test_basic.pyo
FileSize3137
MD50BA2C4573661B5625FC963041B401324
SHA-1024E2590DEAD2F7E212EB5F410E08C7D7156ACAB
SHA-25666F312CE26CB661028C497DAE30A1B3DDE8D9205F2A57F551F0786E95EBA2753
SSDEEP48:mX+MZ2dS0y5sjKP3TNABCAPIq8GmAUv9b6Da0vnEEgvf63KAiFoUvgByL8AH/oc1:mObdLyqeP+BT9ib61vnEY5D/wvMs
TLSHT1EA51FD85E7EA06ABC567607A55F1031B8E74F1B361407341993CA0BD3ED9368C8AF386
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
MD5AE020F2062E75119AA60A4401C6DD314
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
PackageRelease1.el6
PackageVersion2.2.10
SHA-17E529BF1549D15B9F6178B03C932769F38F295D9
SHA-256E89FB5E82C2AB39D9258E428DD891539A09A6EF6EAD0DABB0E8E2AA9D89FCBA7