Source: bottleneck
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders: Ghislain Antony Vaillant <ghisvail@gmail.com>,
           Pietro Battiston <me@pietrobattiston.it>
Section: python
Priority: optional
Build-Depends: debhelper-compat (= 13),
               dh-sequence-python3,
               python3-all-dev,
               dh-sequence-numpy3,
               python3-pytest <!nocheck>,
               python3-setuptools,
Build-Depends-Indep: dh-sequence-sphinxdoc,
                     python3-numpydoc,
                     python3-sphinx,
Standards-Version: 4.6.2
Vcs-Browser: https://salsa.debian.org/python-team/packages/bottleneck
Vcs-Git: https://salsa.debian.org/python-team/packages/bottleneck.git
Homepage: https://github.com/pydata/bottleneck
Rules-Requires-Root: no

Package: python3-bottleneck
Architecture: any
Depends: ${misc:Depends},
         ${python3:Depends},
         ${shlibs:Depends}
Suggests: python-bottleneck-doc
Enhances: python3-pandas
Description: Fast NumPy array functions written in C (Python 3)
 Bottleneck is a collection of fast NumPy array functions written in C.
 .
 Only arrays with data type (dtype) int32, int64, float32, and float64 are
 accelerated. All other dtypes result in calls to slower, unaccelerated
 functions.
 .
 This package provides the modules for Python 3.

Package: python-bottleneck-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
         ${sphinxdoc:Depends}
Built-Using: ${sphinxdoc:Built-Using}
Description: documentation for bottleneck
 Bottleneck is a collection of fast NumPy array functions written in C.
 .
 Only arrays with data type (dtype) int32, int64, float32, and float64 are
 accelerated. All other dtypes result in calls to slower, unaccelerated
 functions.
 .
 This package provides the documentation for bottleneck.
Multi-Arch: foreign