Result for 1EFC6D7161807EC6DF6655FEAFC4D26265E136C4

Query result

Key Value
FileName./usr/share/doc/python3-zarr/html/py-modindex.html
FileSize6654
MD551FD2EA1693813BB1A6985D75EA5B89A
SHA-11EFC6D7161807EC6DF6655FEAFC4D26265E136C4
SHA-25602846CB10B7E71656BF6B41A644E18928E9342BD0EC375E412DA03E6277F6EC2
SSDEEP96:HkEDmLT8WErII+tcirswIvmcurdQPEomZ6IcaG8emMKE3eEscB7Nn8k:QTLqN+Yv1urdQNQ357lZhzCx8k
TLSHT162D11111A8F1B13B201281A959907F6EBCC291A7D7676C443CAD4BFB8F41FA05DA734E
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
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