Source: cyarray Maintainer: Debian Science Maintainers Uploaders: Antonio Valentino Section: python Testsuite: autopkgtest-pkg-pybuild Priority: optional Build-Depends: cython3, debhelper-compat (= 13), dh-python, dh-sequence-numpy3, dh-sequence-python3, python3-all-dev, python3-mako, python3-numpy, python3-pytest , python3-setuptools Standards-Version: 4.7.0 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 Rules-Requires-Root: no Package: python3-cyarray Architecture: any Depends: ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends} 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.