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[ Source: cyarray  ]

Package: python3-cyarray (1.1-9)

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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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