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[ 原始碼: cyarray  ]

套件:python3-cyarray(1.1-2 以及其他的)

python3-cyarray 的相關連結

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下載原始碼套件 cyarray

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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.

其他與 python3-cyarray 有關的套件

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下載 python3-cyarray

下載可用於所有硬體架構的
硬體架構 版本 套件大小 安裝後大小 檔案
amd64 1.1-2+b3 95。5 kB462。0 kB [檔案列表]
arm64 1.1-2+b3 85。5 kB455。0 kB [檔案列表]
armel 1.1-2+b3 84。4 kB428。0 kB [檔案列表]
armhf 1.1-2+b3 87。4 kB336。0 kB [檔案列表]
i386 1.1-2+b3 94。8 kB482。0 kB [檔案列表]
mips64el 1.1-2+b3 77。1 kB524。0 kB [檔案列表]
mipsel 1.1-2+b3 79。7 kB504。0 kB [檔案列表]
ppc64el 1.1-2+b3 95。1 kB579。0 kB [檔案列表]
s390x 1.1-2+b3 84。4 kB471。0 kB [檔案列表]