Result for 0399F6FA1D1DA9D7A71D71543E2FC023785DACFC

Query result

Key Value
FileName./usr/share/doc/python3-zarr/html/api/core.html
FileSize153520
MD534539480030EE024BB3580F934F68F92
SHA-10399F6FA1D1DA9D7A71D71543E2FC023785DACFC
SHA-256E9E59ECB530A9A73A63773CE9678B99C52B35895B1B989BB1C0254FE17976DE5
SSDEEP1536:X0iz+sL76C/kdCYMKOy5Wfc5q4noY64ldTwMnoH5Wzc5q2DoA1R2nBgXioaROWnM:F8g5jgKLOW
TLSHT1BCE3FDA0E1B78137003B99C346FE2B79B0E5942AE0960485E7FD97BD07DCC50791BA6E
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
FileSize233868
MD5E938F04C32104A1EC556A026FF65FABB
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
PackageVersion2.4.0+ds-1
SHA-10CE95241D7EB6681C5267AC650C16ED215A319EE
SHA-256545FA978D81BBE9AE6BA147A0471AB68FC148854ECD829D2747D397085EB7FEE