Result for 02F9E72EB25349FB40A649892CB34FB02ED04119

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/celery/tests/utilities/test_compat.pyo
FileSize3614
MD593B8A4B8F58157902174B51EC944B111
SHA-102F9E72EB25349FB40A649892CB34FB02ED04119
SHA-2563102B4B799F06AA0695FC17028B5CB9C28700BB23A94CCA1D8BCFC4993CD6ED4
SSDEEP48:l2jQU6UbiyNJz8VP8NNlRodatPNg3tS5NU2DNcHxjwtaNvSObEUNlCSmxN3CmNBC:JUeg8l53IGHeLOYkCbblFClbs0Zhl
TLSHT1B6717790E7BB8D57E6709933F7A0231BF664E0736210B38235AC507D1AD879AC5AE7C4
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5C3499A46E5C284990141CFD2A5B5FEE8
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.fc19
PackageVersion3.0.15
SHA-16989EF6FA18A96A261A090488A2C57A248BB5E16
SHA-2562D09A0F5075E2A70CB66DE65AA7D81D5059BDBEF6C692B2D65518849E3B1D7F3
Key Value
MD55AB278C7F16131BA3CBFA842FEB3499F
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.fc19
PackageVersion3.0.15
SHA-19C572C79C52E198FD8322A6AD9EC53219B3C3E24
SHA-256DDF2C87B7B410DE19FB8B740E40369AD56C1318A161523D6581CD5C757C06E1A
Key Value
MD5D30D8C0D4D15D4C380BFF7F5EC6DDF8F
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.fc19
PackageVersion3.0.15
SHA-1D69133618A2EA7CC422B2D4C80FF45A680B26428
SHA-256F731EC5E7740258A321B9B589E5C9439B532784EE8AFD8000F45158CEAFCDB03