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[ Källkod: cyarray  ]

Paket: python3-cyarray (1.1-8)

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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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amd64 115,3 kbyte561,0 kbyte [filförteckning]
arm64 105,7 kbyte553,0 kbyte [filförteckning]
armel 101,5 kbyte524,0 kbyte [filförteckning]
armhf 105,6 kbyte412,0 kbyte [filförteckning]
i386 109,7 kbyte584,0 kbyte [filförteckning]
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s390x 113,5 kbyte577,0 kbyte [filförteckning]