Package: python3-cyarray
Source: cyarray
Version: 1.2-1build1
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size: 577
Depends: python3 (<< 3.15), python3 (>= 3.14~), python3-numpy, python3-numpy2-abi0 | python3-numpy-abi9, python3:any, libc6 (>= 2.14)
Section: python
Priority: optional
Homepage: https://github.com/pypr/cyarray
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.
