Package: python3-cyarray (1.1-5 and others)

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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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Download python3-cyarray

Download for all available architectures
Architecture	Version	Package Size	Installed Size	Files
amd64	1.1-5+b1	90.6 kB	441.0 kB	[list of files]
arm64	1.1-5+b1	81.9 kB	452.0 kB	[list of files]
armel	1.1-5+b1	80.9 kB	412.0 kB	[list of files]
armhf	1.1-5+b1	83.4 kB	324.0 kB	[list of files]
i386	1.1-5+b1	92.1 kB	462.0 kB	[list of files]
mips64el	1.1-5+b1	74.6 kB	528.0 kB	[list of files]
mipsel	1.1-5+b1	77.1 kB	520.0 kB	[list of files]
ppc64el	1.1-5+b1	90.7 kB	580.0 kB	[list of files]
s390x	1.1-5+b1	80.8 kB	451.0 kB	[list of files]