cyarray 1.1-2 source package in Ubuntu

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cyarray (1.1-2) unstable; urgency=medium

  * Team upload.
  * Source-only-upload

 -- Anton Gladky <email address hidden>  Wed, 01 Jan 2020 21:02:44 +0100

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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cyarray_1.1-2.dsc 2.0 KiB 61bf72171cb22e07a84b6c40384357a01f2001c6717fd75ef144d4489e977ff7
cyarray_1.1.orig.tar.gz 24.1 KiB bc23dd135828a5f504ba5108dd06c0e2bae1145614d55a972cec02b73b6f2b72
cyarray_1.1-2.debian.tar.xz 3.5 KiB 6b61eb4daf86762dda77b27e5eeb41a5757b712d7d2b6c5edefbab44ce957cf5

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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