Key | Value |
---|---|
FileName | ./usr/share/doc/python3-zarr/html/_sources/release.rst.txt |
FileSize | 30918 |
MD5 | 0779D5D2D36A8A82E2313FF9040D9695 |
SHA-1 | 018389BF6666282C144BA46F23D3EA7AD5D3E760 |
SHA-256 | FBAC8034F184DCE7D9C76A4A2908E7372C65F261AD335EF31DDE9AE0093B510B |
SSDEEP | 768:TTeHHEL939D9dGx7ucd89agKX2037tkvX496:2HkLx9A7ucGkjXRxkg96 |
TLSH | T1BFD2B62E726D2FB24553053265883CDEB71AC09CB325F608547E821C563ED24BFBBB69 |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
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 |
---|---|
FileSize | 241336 |
MD5 | 59CCD768C4DACD2D9ED9758FE16DD5B4 |
PackageDescription | chunked, 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-zarr |
PackageSection | python |
PackageVersion | 2.6.1+ds-1 |
SHA-1 | 14253B3BA86B747D331EB12A47409C136DE4D023 |
SHA-256 | CA6388A803F3F9AC3AA25DA6807BB7D08F58BC9731E916097A88337C63F78963 |
Key | Value |
---|---|
FileSize | 246516 |
MD5 | AF586FECE4C07569FC85AD8D88B6F105 |
PackageDescription | chunked, 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-zarr |
PackageSection | python |
PackageVersion | 2.6.1+ds-1 |
SHA-1 | D8F8B84F73EE02FA5CF27377B07930D2CAD448CD |
SHA-256 | C1308736915EEFB66DC1D4E4E3D5B0FF2B24EDF6B5D2C153964E47FAB5D441E7 |
Key | Value |
---|---|
MD5 | 76AA2A570527447A3F7FA61D8BCDE787 |
PackageArch | noarch |
PackageDescription | Documentation for zarr |
PackageMaintainer | Fedora Project |
PackageName | python-zarr-doc |
PackageRelease | 2.fc34 |
PackageVersion | 2.6.1 |
SHA-1 | EB4395952B23CE78D39E2EDF4CF45FD7746DA931 |
SHA-256 | 7B717D93BA4E822BA736968D00DD0599F1D69BBD7E10B65DEBF0DF49FBB30FCA |