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
57
58
59
60
61
62
63
64
65
66
67
|
Source: dask.distributed
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders: Diane Trout <diane@ghic.org>
Section: python
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-python,
python3-all,
python3-click (>= 6.6),
python3-cloudpickle (>= 1.5.0),
python3-cryptography <!nocheck>,
python3-dask (>= 2022.12.1),
python3-doc <!nodoc>,
python3-jupyter-server <!nocheck>,
python3-locket,
python3-msgpack,
python3-numpy <!nocheck>,
python3-numpydoc,
python3-pandas <!nocheck>,
python-pandas-doc <!nodoc>,
python3-psutil,
python3-pytest,
python3-pytest-asyncio,
python3-pytest-rerunfailures <!nocheck>,
python3-pytest-timeout,
python3-setuptools,
python3-six,
python3-sortedcollections,
python3-sphinx,
python3-sphinx-click,
python3-dask-sphinx-theme <!nodoc>,
python3-tblib,
python3-toolz (>= 0.8.2),
python3-tornado (>= 5),
python3-yaml,
python3-zict (>= 0.1.3),
uglifyjs,
Standards-Version: 4.6.2
Homepage: https://distributed.readthedocs.io/en/latest/
Vcs-Git: https://salsa.debian.org/python-team/packages/dask.distributed.git
Vcs-Browser: https://salsa.debian.org/python-team/packages/dask.distributed
Rules-Requires-Root: no
Package: python3-distributed
Architecture: all
Depends: ${misc:Depends},
${python3:Depends},
python3-dask (>= 2022.12.1)
Recommends: python3-pandas, python3-yaml
Description: Dask Distributed computing for Python 3
Dask.distributed is a lightweight library for distributed computing in
Python. It extends both the concurrent.futures and dask APIs to
moderate sized clusters.
.
This contains the Python 3 version
Package: python-distributed-doc
Architecture: all
Multi-Arch: foreign
Section: doc
Depends: ${misc:Depends}, ${sphinxdoc:Depends}
Description: Dask Distributed computing documentation
Dask.distributed is a lightweight library for distributed computing in
Python. It extends both the concurrent.futures and dask APIs to
moderate sized clusters.
.
This contains the documentation
|
