Result for 0CDF3841FB75C0B988AB84A2BF7A38D81189CD24

Query result

Key Value
FileName./usr/share/doc/python3-zarr/html/_sources/spec/v2.rst.txt
FileSize19734
MD5534AC1AAE171CD1B28CD878DE7F497DE
SHA-10CDF3841FB75C0B988AB84A2BF7A38D81189CD24
SHA-25637A9F9A070F5D4AFEDF9EC13EB9EE39BC9104176FC672B345368B03F9CCE0DD9
SSDEEP384:D1qjBUO1yw3xkmiygq+eB+E4fJ09DbzAIgmorw4VTH5O8Z:xqjKwhiqbjbX/orw4VTH5O8Z
TLSHT1AD92C82FB7C5133A4B92C0E9D64E58C6A708D076936915C2340F56AC1F39E2E6BB97CC
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize241336
MD559CCD768C4DACD2D9ED9758FE16DD5B4
PackageDescriptionchunked, compressed, N-dimensional arrays for Python Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. Some highlights: . - Create N-dimensional arrays with any NumPy dtype. - Chunk arrays along any dimension. - Compress chunks using the fast Blosc meta-compressor or alternatively using zlib, BZ2 or LZMA. - Store arrays in memory, on disk, inside a Zip file, on S3, ... - Read an array concurrently from multiple threads or processes. - Write to an array concurrently from multiple threads or processes. - Organize arrays into hierarchies via groups. - Use filters to preprocess data and improve compression.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-zarr
PackageSectionpython
PackageVersion2.6.1+ds-1
SHA-114253B3BA86B747D331EB12A47409C136DE4D023
SHA-256CA6388A803F3F9AC3AA25DA6807BB7D08F58BC9731E916097A88337C63F78963
Key Value
FileSize246516
MD5AF586FECE4C07569FC85AD8D88B6F105
PackageDescriptionchunked, compressed, N-dimensional arrays for Python Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. Some highlights: . - Create N-dimensional arrays with any NumPy dtype. - Chunk arrays along any dimension. - Compress chunks using the fast Blosc meta-compressor or alternatively using zlib, BZ2 or LZMA. - Store arrays in memory, on disk, inside a Zip file, on S3, ... - Read an array concurrently from multiple threads or processes. - Write to an array concurrently from multiple threads or processes. - Organize arrays into hierarchies via groups. - Use filters to preprocess data and improve compression.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-zarr
PackageSectionpython
PackageVersion2.6.1+ds-1
SHA-1D8F8B84F73EE02FA5CF27377B07930D2CAD448CD
SHA-256C1308736915EEFB66DC1D4E4E3D5B0FF2B24EDF6B5D2C153964E47FAB5D441E7
Key Value
MD576AA2A570527447A3F7FA61D8BCDE787
PackageArchnoarch
PackageDescriptionDocumentation for zarr
PackageMaintainerFedora Project
PackageNamepython-zarr-doc
PackageRelease2.fc34
PackageVersion2.6.1
SHA-1EB4395952B23CE78D39E2EDF4CF45FD7746DA931
SHA-2567B717D93BA4E822BA736968D00DD0599F1D69BBD7E10B65DEBF0DF49FBB30FCA