Result for 0631F90963FC183A083A5A9447FDD8CDE0FD3BB2

Query result

Key Value
FileName./usr/share/doc/python-django-celery-doc/html/reference/djcelery.humanize.html
FileSize7507
MD566552F4D07B6EE9B47514F2CA57079DF
SHA-10631F90963FC183A083A5A9447FDD8CDE0FD3BB2
SHA-256B32EEB870A720E5DA595320D92B0196059BCA28454A8E135F5746BBCE7AE8A00
SSDEEP96:xffsDmJM7MSxqPD9Wjmhn/QCCFEGy0BL1ekfqUbgsN7JX+vL92bPDPjmfnbQCC2:RGQFZ1hn/5bD0KkSUks5JuvLAbefnb5b
TLSHT14DF1320A98F8AE738A3386D6E2F453AAF887C117C1042D4575FC9B6D4FC1EC4994BA4D
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
FileSize66092
MD503DA082A051023A8C5489AB9D5E67861
PackageDescriptionCelery integration for Django (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. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes. . This package contains the documentation.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython-django-celery-doc
PackageSectiondoc
PackageVersion3.1.17-4
SHA-19F9842AB49B5494EC175BC40A8812795B3D94D29
SHA-256FB2645C51EEB7AC2E3BA0952CA58FEB0A8497AFD2185A5E75E1A37D74998BDE7