Result for 022B0FADD522BB3AA323633201CA0F49E02C558A

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/celery/loaders/base.py
FileSize8071
MD5C89FA3BC0887B9E3AB8343BD7B6B735F
SHA-1022B0FADD522BB3AA323633201CA0F49E02C558A
SHA-2562C507EE0A6A72C68F45E7D4C85DFC3075E679757615EBF394A0101D5DC993CAA
SSDEEP96:c2pMGfK2KAQLV+kGJ3sTPh/oBZ/jK0NaLysmL1ZcMVIlexlqVKrFqstqgP2mFHam:c2eKKAQckEsT5wfzNacDtTxRqzQBOQ
TLSHT17FF1944B84A7DC13931BCA2BE4E6E2520E676A970D083434B8FC53F41F65A34D1E6DE6
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