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Overview

ngv-ctools provide c++ algorithms for ngv exposed via pybind11 python bindings.

Algorithms

  • second_order_solutions

  • grow_waves_on_triangulated_surface

Installation

If one is on a Linux platform, one should be able to use the compiled Python wheels. This is the recommended way.

pip install ngv-ctools

Tests

pip install tox
tox

Acknowledgements

The development of this software was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology.

For license and authors, see LICENSE.txt and AUTHORS.txt respectively.

Copyright (c) 2022-2024 Blue Brain Project/EPFL

Metadata

Release files for ngv-ctools 1.0.4

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Source distribution for ngv-ctools 1.0.4
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Built distributions (wheels)

Table of built distributions (wheels) for ngv-ctools 1.0.4
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ngv_ctools-1.0.4-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.17+ x86-64 Details
ngv_ctools-1.0.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ x86-64 Details
ngv_ctools-1.0.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
ngv_ctools-1.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
ngv_ctools-1.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details

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Release files / ngv_ctools-1.0.4.tar.gz

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