Paketti: python3-cyarray (1.1-5 ja muut)

[ Source: cyarray  ]

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.

Muut pakettiin python3-cyarray liittyvät paketit

• dep: cython3

  C-Extensions for Python 3

• dep: libc6 (>= 2.17)

  GNU-C-kirjasto: jaetut kirjastot
  myös näennäispaketti, jonka toteuttaa libc6-udeb

• dep: python3

  interactive high-level object-oriented language (default python3 version)

  dep: python3 (<< 3.12)

  dep: python3 (>= 3.11~)

• dep: python3-mako

  fast and lightweight templating for the Python 3 platform

• dep: python3-numpy (>= 1:1.22.0)

  Fast array facility to the Python 3 language

• dep: python3-numpy-abi9

  näennäispaketti, jonka toteuttaa python3-numpy

• dep: python3-pkg-resources

  Package Discovery and Resource Access using pkg_resources

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Imurointi kaikille saataville arkkitehtuureille

Arkkitehtuuri	Versio	Paketin koko	Koko asennettuna	Tiedostot
arm64	1.1-5+b1	81.9 kt	452.0 kt	[tiedostoluettelo]