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Source: tinyarray
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders: Christoph Groth <christoph@grothesque.org>
Section: python
Testsuite: autopkgtest-pkg-python
Priority: optional
Build-Depends: dh-python,
debhelper-compat (= 13),
python3-all-dev,
python3-setuptools,
python3-numpy,
python3-pytest
Standards-Version: 4.6.0
Homepage: https://kwant-project.org/tinyarray/
Vcs-Git: https://salsa.debian.org/python-team/packages/tinyarray.git
Vcs-Browser: https://salsa.debian.org/python-team/packages/tinyarray
Rules-Requires-Root: no
Package: python3-tinyarray
Architecture: any
Depends: ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends}
Description: Arrays of numbers, optimized for small sizes
Tinyarray is a numerical array module for Python. The multi-dimensional
arrays it provides are best thought of as (possibly nested) tuples of numbers
that, unlike Python's built-in tuples, support mathematical operations. Like
tuples, tinyarrays are hashable and immutable and thus can be used as
dictionary keys. The module's interface is a subset of that of NumPy and
hence should be familiar to many Python programmers. Tinyarray has been
heavily optimized for small arrays: For example, common operations on 1-d
arrays of length 3 run 3-7 times faster than with NumPy. When storing many
small arrays, memory consumption is reduced by a factor of 3. In summary,
Tinyarray is a more efficient alternative to NumPy when many separate small
numerical arrays are to be used.
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