Result for 038731C8D850B9C3876A7AA5FACAABA94193975C

Query result

Key Value
FileName./usr/share/doc/python-celery-doc/html/_modules/celery/utils/dispatch/weakref_backports.html
FileSize13691
MD5ECB7AB4C047A9FE22DCF273536D6EC99
SHA-1038731C8D850B9C3876A7AA5FACAABA94193975C
SHA-2569B42D95F71BA3E2CAF7D68093C64128A9AF39E948E7A0162D8E90406445BD291
SSDEEP192:2VKMEMx5LR4Lo09hDh8F2SqMAXW+lQKq5mI5M9Wq2IRzW+dAWyIe+W+2WXAKEEL:ozxNRs9oK
TLSHT103526CD4EAFB9077017BC4C752AF1B22B5E1482AE596190073FD87780BECE447847DA9
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1777780
MD5CB3C7A507E8CE1C6F31012C00341CC66
PackageDescriptionasync task/job queue based on message passing (Documentation) Celery is an 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. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). . 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. Celery is easy to integrate with Django, using the python-django-celery package. . This package contains the documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-celery-doc
PackageSectiondoc
PackageVersion4.4.6-1
SHA-12D5C4AD50EB597989E02E7543334EAF0946276E8
SHA-25628368C5ECE105C1DB838D414154F5518307EE9E803726DD78CB2C768B9F372C8