Result for 273409F999F47EE7FAF8F5ADA85BC5470EC72A5E

Query result

Key Value
FileName./usr/share/doc/python3-zarr/html/_static/logo1.png
FileSize4606
MD5F88BE6F9962ACAA93DB128AF101D5DD6
SHA-1273409F999F47EE7FAF8F5ADA85BC5470EC72A5E
SHA-256F997BE059DB8CA852A33F2A3718D9340029650DEDC6D84553EAC04933A2B7189
SSDEEP96:53jriD2LOFxr94etmP2mpbm3VJKLDOdaGccokq13NOY2K2KJzf:53V2xx4lVN8aGbqfOTUT
TLSHT10D916D0D616A6C07EC4E9285A7318930319CFFA767D8577F96D483913086D584BC32B7
hashlookup:parent-total2
hashlookup:trust60

Network graph view

Parents (Total: 2)

The searched file hash is included in 2 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
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