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cyarray package

cyarray 1.1-4build2 source package in Ubuntu

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cyarray (1.1-4build2) lunar; urgency=medium

  * No-change rebuild with Python 3.11 as supported

 -- Graham Inggs <email address hidden>  Thu, 03 Nov 2022 15:41:19 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Lunar
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
cyarray_1.1.orig.tar.gz 24.1 KiB bc23dd135828a5f504ba5108dd06c0e2bae1145614d55a972cec02b73b6f2b72
cyarray_1.1-4build2.debian.tar.xz 3.8 KiB a00a9ac4e3b53def60928988119c7121c673ed66b2a9cfb45b4623f27cedf08c
cyarray_1.1-4build2.dsc 2.0 KiB 0502a005f3ba8c9f4fd9dc22af73dddd77f0e415fa5e158ee266536a287f29f9

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Binary packages built by this source

python3-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.

python3-cyarray-dbgsym: debug symbols for python3-cyarray