Result for 00BBC5C470043721822F4615578F35777547FC31

Query result

Key Value
FileName./usr/share/doc/python-celery-3.0.11/docs/userguide/security.rst
FileSize7477
MD59AFBCDB706E7842F2B7596B9F137759F
SHA-100BBC5C470043721822F4615578F35777547FC31
SHA-2569102E248547AF1CCF9CA3BCDBE54C6F5E2FD7CFE94FC9750E5687C036E359076
SSDEEP192:4TRCQNFwSohHZjfR1A6S9rbJh2Gt/8Oi/:qRTxoztsrmGGOI
TLSHT179F1A54BA34C7F7602A083716B3962E9EB2491BD23B3525D68A8143C6641768437FFD7
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