Result for 02AB59EA1C24008741EA4BEFABAB569DF9CB4C22

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/celery/tests/utilities/test_timer2.py
FileSize4804
MD5AAE01724C5E9FD30D2AF4F4EBB72F13A
SHA-102AB59EA1C24008741EA4BEFABAB569DF9CB4C22
SHA-25676DAD878A62C1BAB8690D9CEE134623966FF41A82B12999C5CCF08B378656A8D
SSDEEP96:DGl+2LFLASY/sYybQVLwk4PXLZULmOdH6x7iD4bl:DEjLFL49ybQSk4PtaK7iD4bl
TLSHT109A1F11B91130C10EB93A5ED818BCA867B5AFA570C8D8538B0AE42255F71EB4D1D7BEC
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
MD5827EA0FB5A89EEFB3635C5C018A2358F
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.fc18
PackageVersion3.0.11
SHA-15B7785EA3C6CC9724B3E27C64444971C5C9CD496
SHA-256AF01E550874C09C65DE0CBF4F9B940F6C7A2153746B1CB3D99E87A758A4F1B13
Key Value
MD553BC43842BF07CC5D56BBE87973D3A44
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.fc18
PackageVersion3.0.11
SHA-1A83C81BA99C37EDC964A0475026D8A1199D62E04
SHA-2563941E8B2087CC6CF472B55DBFC45A2D70FF4CF6947C0A751FAD1F8EC4E5D7FA8
Key Value
MD5DEEEC67F673E352BB995819A36083892
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.fc18
PackageVersion3.0.11
SHA-13FED1509C4B55AB136830B187E7EECD867F796DD
SHA-256CBF2B52A72FD20986D3B7A06D5C226ED00D008838850EDC1F1F2DDA4D56ED610