Pacote: python3-cyarray (1.2-1)

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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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Baixe para todas as arquiteturas disponíveis
Arquitetura	Tamanho do pacote	Tamanho instalado	Arquivos
amd64	115.4 kB	564.0 kB	[lista de arquivos]
arm64	102.6 kB	556.0 kB	[lista de arquivos]
armhf	104.1 kB	423.0 kB	[lista de arquivos]
i386	110.3 kB	591.0 kB	[lista de arquivos]
ppc64el	111.5 kB	684.0 kB	[lista de arquivos]
riscv64	123.0 kB	476.0 kB	[lista de arquivos]
s390x	112.0 kB	576.0 kB	[lista de arquivos]