Result for 07506A66B0786918D51F7448AFD7B046CC7BD8BB

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/celery/tests/backends/test_mongodb.pyo
FileSize13477
MD56FD73E99E20A47B62A8219671A88EE37
SHA-107506A66B0786918D51F7448AFD7B046CC7BD8BB
SHA-256118D20DCCD14DEA0E585FEE6CD0FB7B6402E46A8E16805965477E2C2378ECCE0
SSDEEP384:s6dzIxQ/7v7NWXcuyhV3Ei1MRSeZAVnDCH7niJSmZk6dKum+G2TTrOoid4o:TiGzvnXEfTAhY7iEc/Mh+Gb1
TLSHT191522E80B3FB591BD5718772E5F12317E835F1B31901AB0225BCE0793998B69D4AB3C9
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
MD5D5A8BC3900068FD517AB157AF5CBEA98
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 web hooks. 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
PackageNamepython2-celery
PackageRelease2.fc24
PackageVersion3.1.20
SHA-1F65D060B30D33945DEDEB3386622B94C60810367
SHA-256D87DF7BE17D4F53B2DE87546C7A839A856DCDB5DB130C2DE081EF7FB120A74CF
Key Value
MD54B446B573EA850D5B36850AA7FD94A69
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 web hooks. 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
PackageNamepython2-celery
PackageRelease2.fc24
PackageVersion3.1.20
SHA-1CCF599967E71BDB38AA2BD1B3B6691D046D685B5
SHA-2568AA0CECEEEA9F691DABF1C21EA22C575FE69EE3027C1FEAC3D068583E17AA794