Source: zarr
Standards-Version: 4.7.4
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders:
 Antonio Valentino <antonio.valentino@tiscali.it>,
Section: python
Testsuite: autopkgtest-pkg-pybuild
Build-Depends:
 debhelper-compat (= 14),
 dh-sequence-single-binary,
 dh-sequence-numpy3,
 dh-sequence-python3,
 dh-python,
 pybuild-plugin-pyproject,
 python3-aiohttp <!nocheck>,
 python3-all,
 python3-botocore <!nocheck>,
 python3-crc32c,
 python3-donfig,
 python3-fsspec,
 python3-hatch-vcs,
 python3-hatchling,
 python3-hypothesis <!nocheck>,
 python3-moto <!nocheck>,
 python3-msgpack <!nodoc>,
 python3-msgspec,
 python3-numcodecs,
 python3-numpy,
 python3-numpydoc <!nocheck>,
 python3-packaging,
 python3-pytest <!nocheck>,
 python3-pytest-asyncio <!nocheck>,
 python3-pytest-benchmark <!nocheck>,
 python3-pytest-xdist <!nocheck>,
 python3-requests <!nocheck>,
 python3-s3fs <!nocheck>,
 python3-tomlkit <!nocheck>,
 python3-typer,
 python3-typing-extensions,
 python3-zfpy,
Vcs-Browser: https://salsa.debian.org/science-team/zarr
Vcs-Git: https://salsa.debian.org/science-team/zarr.git
Homepage: https://github.com/zarr-developers/zarr-python
Description: 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.

Package: python3-zarr
Architecture: all
Depends:
 python3-crc32c,
 ${misc:Depends},
 ${python3:Depends},
Recommends:
 python3-aiohttp,
 python3-botocore,
 python3-fsspec,
 python3-requests,
 python3-typer,
 python3-zfpy,
Description: ${source:Synopsis}
 ${source:Extended-Description}
