Result for 0B2ECE67521118D8E0CECD5BC9D5292A2215577D

Query result

Key Value
FileName./usr/lib/python3/dist-packages/zarr/meta_v1.py
FileSize1679
MD5F77D5ECF2F30A2F0889B8DEB4BF40710
SHA-10B2ECE67521118D8E0CECD5BC9D5292A2215577D
SHA-256F24867B9967134C464A8543223A61E562D34148F04F9A48D5C3B43D82EB074F2
SSDEEP48:uChejGp0VAeU4kbtuUHslIIYGGfeHz2dbH:H0jG6VAeU3btuU2yvSz2pH
TLSHT1C531D0517C246022C283C7E88DAAE00D171A7B1F58017324BD4E92F56F7AB79A7B13D6
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
MD5676DD78D65ACE0889CAD2E1C6E710BE8
PackageArchnoarch
PackageDescriptionZarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing.
PackageMaintainerFedora Project
PackageNamepython3-zarr
PackageRelease3.fc33
PackageVersion2.4.0
SHA-1C1F9AEB4B1C5137146D0FF48BA4075B03CB9F23E
SHA-256695A93B66333DD23CE4660135D89D4572070EF835814F13F058A335494B55F8E
Key Value
MD544F40B4638FE404323A8B933137E33E6
PackageArchnoarch
PackageDescriptionZarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing.
PackageMaintainerFedora Project
PackageNamepython3-zarr
PackageRelease1.fc32
PackageVersion2.4.0
SHA-12781246714645F88FD11EC9E8A456431A1AA26C4
SHA-2569079B65C7F3663F2518E12866DB96391101BFFC2D706324EA0FE9A8598989E47
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