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Пакет: python3-cyarray (1.1-4build1)

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.

Другие пакеты, относящиеся к python3-cyarray

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  • dep: cython3
    C-Extensions for Python 3
  • dep: libc6 (>= 2.14) [amd64]
    GNU C Library: Shared libraries
    также виртуальный пакет, предоставляемый libc6-udeb
    dep: libc6 (>= 2.17) [arm64, ppc64el]
    dep: libc6 (>= 2.4) [armhf]
  • dep: libgcc-s1 (>= 3.5) [armhf]
    GCC support library
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.11)
    dep: python3 (>= 3.10~)
  • dep: python3-mako
    fast and lightweight templating for the Python 3 platform
  • dep: python3-numpy (>= 1:1.20.0)
    Fast array facility to the Python 3 language
  • dep: python3-numpy-abi9
    виртуальный пакет, предоставляемый python3-numpy
  • dep: python3-pkg-resources
    Package Discovery and Resource Access using pkg_resources

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amd64 104,4 Кб461 Кб [список файлов]
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