[ 原始碼： cyarray ]
套件：python3-cyarray（1.1-5 以及其他的）
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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- dep: cython3
- C-Extensions for Python 3
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- dep: libc6 (>= 2.4)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libgcc-s1 (>= 3.5)
- GCC 支援函式庫
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.12)
- dep: python3 (>= 3.11~)
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- dep: python3-mako
- fast and lightweight templating for the Python 3 platform
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- dep: python3-numpy (>= 1:1.22.0)
- Fast array facility to the Python 3 language
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- dep: python3-numpy-abi9
- 本虛擬套件由這些套件填實： python3-numpy
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- dep: python3-pkg-resources
- Package Discovery and Resource Access using pkg_resources