1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
|
Source: zarr
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Antonio Valentino <antonio.valentino@tiscali.it>
Section: python
Testsuite: autopkgtest-pkg-python
Priority: optional
Build-Depends: debhelper-compat (= 12),
dh-python,
pybuild-plugin-pyproject,
python3-all,
python3-asciitree,
python3-fasteners,
python3-fsspec,
python3-h5py,
python3-msgpack,
python3-numcodecs,
python3-numpy,
python3-numpydoc,
python3-pytest,
python3-pytest-doctestplus,
python3-pytest-timeout,
python3-setuptools,
python3-setuptools-scm,
python3-sphinx,
python3-sphinx-copybutton,
python3-sphinx-issues,
python3-sphinx-rtd-theme
Standards-Version: 4.6.2
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
Rules-Requires-Root: no
Package: python3-zarr
Architecture: all
Depends: ${misc:Depends},
${python3:Depends},
${sphinxdoc:Depends},
python3-sphinx-copybutton
Recommends: python3-fsspec
Suggests: python3-h5py,
jupyter-notebook
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.
|
