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ntessore committed Nov 1, 2022
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6 changes: 6 additions & 0 deletions .github/dependabot.yml
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version: 2
updates:
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "weekly"
61 changes: 61 additions & 0 deletions .github/workflows/cibuildwheel.yml
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name: Build and upload to PyPI

on:
push:
branches:
- main
pull_request:
branches:
- main
release:
types:
- published

jobs:
build_wheels:
name: Build wheels on ${{ matrix.os }}
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-20.04, windows-2019, macos-11]

steps:
- uses: actions/checkout@v3

- name: Build wheels
uses: pypa/[email protected]
env:
CIBW_SKIP: 'pp{37,38,39}-{macosx_x86_64,win_amd64}'

- uses: actions/upload-artifact@v3
with:
path: ./wheelhouse/*.whl

build_sdist:
name: Build source distribution
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3

- name: Build sdist
run: pipx run build --sdist

- uses: actions/upload-artifact@v3
with:
path: dist/*.tar.gz

upload_pypi:
name: Upload to PyPI
needs: [build_wheels, build_sdist]
runs-on: ubuntu-latest
if: github.event_name == 'release' && github.event.action == 'published'
steps:
- uses: actions/download-artifact@v3
with:
name: artifact
path: dist

- uses: pypa/[email protected]
with:
user: __token__
password: ${{ secrets.pypi_password }}
3 changes: 3 additions & 0 deletions .gitignore
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.*.swp
python/healpix.c
__pycache__
28 changes: 28 additions & 0 deletions LICENSE.md
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Copyright (c) 2022, Nicolas Tessore, based on the healpix_bare library

Copyright (c) 1997-2019, Krzysztof M. Gorski, Eric Hivon, Martin Reinecke, Benjamin D. Wandelt, Anthony J. Banday, Matthias Bartelmann, Reza Ansari & Kenneth M. Ganga

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
1 change: 1 addition & 0 deletions MANIFEST.in
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include src/healpix.h
63 changes: 63 additions & 0 deletions README.md
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healpix
=======

**Python and C package for HEALPix discretisation of the sphere**

This package implements a lean set of routines for working with the HEALPix
discretisation of the sphere. It supports NSIDE parameters up to 2^29.

The C library is based on the *healpix_bare* library, which was released under
the 3-clause BSD license.

If you are using this code in your research, please consider citing the
original paper in your publications:

* [Gorski et al., 2005, ApJ, 622, 759][Gorski+2005]

[Gorski+2005]: http://adsabs.harvard.edu/abs/2005ApJ...622..759G


Python
------

The Python package provides functions that deal with the discretisation of the
sphere itself. It is not meant to be a replacement of *healpy*, and does not
contain things such as functions for the visualisation of maps, or spherical
harmonic transforms.

The Python package consists of two modules:

* The low-level `chealpix` module, which is a native C extension, and
efficiently vectorises the C library functions over arbitrary numpy array
inputs (including scalars, of course).
* The high-level `healpix` module, which contains a more streamlined interface,
and additional functionality:

* Random point picking in HEALPix pixels.

The high-level functions in the `healpix` module can be used more or less
interchangeably with functions from the *healpy* package. However, in some
cases, compatibility is sacrificed for consistency.

The Python package requires only *numpy*, and can be installed using pip:

pip install healpix

The vectorised C functions carefully avoid the creation of temporary arrays,
and therefore have minimal memory overhead:

```py
>>> import numpy as np, healpix, tracemalloc
>>>
>>> # random vectors with 1G of memory per component (less than a NSIDE=4K map)
>>> x, y, z = np.random.randn(3, 125_000_000)
>>>
>>> tracemalloc.start()
>>>
>>> lon, lat = healpix.vec2ang(x, y, z, lonlat=True)
>>>
>>> tracemalloc.get_traced_memory()
(2000010342, 2000013889) # current, peak
>>>
>>> # no memory overhead: only the 2G output arrays were used
```
4 changes: 4 additions & 0 deletions pyproject.toml
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[build-system]
requires = ["setuptools", "wheel", "oldest-supported-numpy"]

build-backend = "setuptools.build_meta"
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