Result for 28D4BBE95B98D1AFE55FC864D53CA72203929F81

Query result

Key Value
FileName./usr/share/doc/python-django-celery-doc/html/reference/djcelery.snapshot.html
FileSize14109
MD5238C18A33723A1C3D07A813D2B58F610
SHA-128D4BBE95B98D1AFE55FC864D53CA72203929F81
SHA-256A2AB43C6C4D0E70740F1B32E4A01A5EC71D401C84016879A78B469FF7BBAE2C9
SSDEEP192:mmQCm1iUn6xFh05hCBKq6HMaQCquX2CWNQE8cpBe9WNYJZEmf5/0HvDXff4w1UiU:mmFGiUn6nRtSubqQo8HvDvf4w1Ui8nYQ
TLSHT1ED524459D4B04C339EB762E9C7EC5B66F9C30C97D1102992B4ECD2AE8F87D85944E80E
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
FileSize56634
MD57892F9C312713622AB9A494549EC0AC7
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-django-celery-doc
PackageSectiondoc
PackageVersion2.4.2-1
SHA-1135F538FC688708778D23052D0B98CAAFC8F8B47
SHA-25665B797F0F27F2DE7D37252D95A519CB73200838A0FAC0F2873B8FE4D9DFB9B68