Result for 0121681D24279BECB218CBC639BE0B74C6D286C6

Query result

Key Value
FileName./usr/share/doc/python-dask-doc/html/graphs.html
FileSize23850
MD575D60B97D9827C4B240F5D44E7874B67
SHA-10121681D24279BECB218CBC639BE0B74C6D286C6
SHA-256A87D0193524D8F79DE6A8EEFAC31978E62D02DE4146EA712F6A8EBD107D28A9C
SSDEEP384:Ugv4ZFqQd55w0cGN9qbfeJfcsfLfrfD2btSykkrFhkJ3ibUDc:MnNFqbtgkrF83PDc
TLSHT1BAB265B290E64437037382CA5BAA3B38B5E7852FC55A0905B1FC532D0BD5F60BA1776E
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
FileSize3964340
MD5870AF1465DB0E84ED8B879B3411947CF
PackageDescriptionMinimal task scheduling abstraction documentation Dask is a flexible parallel computing library for analytics, containing two components. . 1. Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. 2. "Big Data" collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers. . This contains the documentation
PackageMaintainerDebian Python Team <team+python@tracker.debian.org>
PackageNamepython-dask-doc
PackageSectiondoc
PackageVersion2021.09.1+dfsg-2
SHA-1827B35900A1D0A2736A0ACDABE77B5FCEC4ABAB2
SHA-2562CDF1DB821BDF373D8AF9D4C6E962696974AF9893708D9CBC31DB5FAA8DF6370