Result for 01E486A1F1C38B11E75189DA99A32BEFA134240A

Query result

Key Value
FileName./usr/share/doc/python-dask-doc/html/generated/dask.array.triu.html
FileSize43361
MD53A526E748C2EB8F6FA3830ADE511C127
SHA-101E486A1F1C38B11E75189DA99A32BEFA134240A
SHA-2561CBAD7087A0FE4F4BAEA62E1CCEE2A4708322590C9F5AE12E10F07502C2C4776
SSDEEP384:UGy+9FxQd55J0cGNCXbfWYfDS6vMg4PofefxfDbfr1OyLFT2N+c:XnNNES6GPNbfr1OyLFTc+c
TLSHT148135C32088E147B12A652CC1E7A3B6C74976F3FC25E2A1374BB3E250756F61D62931E
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