Result for 1281F05544A087554ED1F61F4ABA204AECC2D6F8

Query result

Key Value
FileName./usr/share/doc/python3-zarr/html/api/core.html
FileSize155021
MD5460888C4D7B1590B02C914CE28C70E84
SHA-11281F05544A087554ED1F61F4ABA204AECC2D6F8
SHA-25687F57323B39CC1F6C25699B7857D29E83E5EDBD0D1DFCE7FB3810AE89FCD8BB6
SSDEEP1536:WQ8P6C/kdCYMmxy5Wfc5q4bt64ldTwWlH5Wzc5q2BX1RUkgXLoROVOg0puP/iD7I:WFWiVt8P3qNjMeDWi/jKKHsOon
TLSHT106E3FBA0E1B79133003B99C342FF1B79B1E5942AE0960485A7FDA7BD47DCC50781BA6E
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
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