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Source: cyarray
Section: python
Priority: optional
Testsuite: autopkgtest-pkg-python
Rules-Requires-Root: no
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Antonio Valentino <antonio.valentino@tiscali.it>
Build-Depends: cython3,
debhelper-compat (= 12),
dh-python,
python3-all-dev,
python3-mako,
python3-numpy,
python3-pytest,
python3-setuptools
Standards-Version: 4.4.1
Vcs-Browser: https://salsa.debian.org/science-team/cyarray
Vcs-Git: https://salsa.debian.org/science-team/cyarray.git
Homepage: https://github.com/pypr/cyarray
Package: python3-cyarray
Architecture: any
Depends: ${misc:Depends},
${python3:Depends},
${shlibs:Depends}
Recommends: ${python3:Recommends}
Suggests: ${python3:Suggests}
Description: Fast, typed, resizable, Cython array
The cyarray package provides a fast, typed, re-sizable, Cython array.
.
It currently provides the following arrays: ``IntArray, UIntArray,
LongArray, FloatArray, DoubleArray``.
.
All arrays provide for the following operations:
.
- access by indexing.
- access through get/set function.
- resizing the array.
- appending values at the end of the array.
- reserving space for future appends.
- access to internal data through a numpy array.
.
If you are writing Cython code this is a convenient array to use as it
exposes the raw underlying pointer to the data.
For example if you use a ``FloatArray`` and access its ``data``
attribute it will be a ``float*``.
.
Each array also provides an interface to its data through a numpy
array.
This is done through the ``get_npy_array`` function.
The returned numpy array can be used just like any other numpy array
but for the following restrictions:
.
- the array may not be resized.
- references of this array should not be kept.
- slices of this array may not be made.
.
The numpy array may however be copied and used in any manner.
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