cyarray 1.1-6.1 source package in Ubuntu
Changelog
cyarray (1.1-6.1) unstable; urgency=medium
* Non-maintainer upload.
* Add a debian/py3dist-overrides file to depend on cython3 instead of
cython3-legacy, introduced with the last binNMUs.
* Add a patch to not add a runtime dependency on cython3. Not yet applied,
should be confirmed that it's safe to apply.
-- Matthias Klose <email address hidden> Sun, 10 Dec 2023 08:12:56 +0100
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| cyarray_1.1-6.1.dsc | 2.1 KiB | 78742e97cd10bd82b77227b0bff6aca79ca2716ec9df9b2ae659f4028890a685 |
| cyarray_1.1.orig.tar.gz | 24.1 KiB | bc23dd135828a5f504ba5108dd06c0e2bae1145614d55a972cec02b73b6f2b72 |
| cyarray_1.1-6.1.debian.tar.xz | 5.6 KiB | 7c3c9ef2134dcda81e712be1af46ed2535704ffc0406188c4d26dcb1e3a66f9a |
Available diffs
- diff from 1.1-6 to 1.1-6.1 (752 bytes)
No changes file available.
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
