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Responses to pyOpenSci review #842
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include README.rst | ||
include CHANGES.rst | ||
include setup.cfg | ||
include LICENSE.rst | ||
include pyproject.toml | ||
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Moved configuration to pyproject.toml as recommended by PEP 621 |
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@@ -97,7 +97,6 @@ A **minimal installation** of Stingray requires the following dependencies: | |
In **typical** uses, requiring input/output, caching of results, and faster processing, we **recommend the following dependencies**: | ||
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+ numba (**highly** recommended) | ||
+ tbb (needed by numba) | ||
+ tqdm (for progress bars, always useful) | ||
+ pyfftw (for the fastest FFT in the West) | ||
+ h5py (for input/output) | ||
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@@ -125,6 +124,8 @@ For the Gaussian Process modeling in `stingray.modeling.gpmodeling`, you'll need | |
+ etils | ||
+ typing_extensions | ||
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For the Bexvar calculations in `stingray.bexvar` and `stingray.lightcurve`, you'll need `UltraNest <https://johannesbuchner.github.io/UltraNest/index.html>`_. | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. @masonng-astro here is the Ultranest line |
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Most of these are installed via ``pip``, but if you have an Nvidia GPU available, you'll want to take special care | ||
following the installation instructions for jax and tensorflow(-probability) in order to enable GPU support and | ||
take advantage of those speed-ups. | ||
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Using Stingray | ||
=============== | ||
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The documentation below is built on top of Jupyter notebooks that can be run locally. | ||
The easiest way to retrieve the notebooks is by `cloning the notebooks repository <https://github.com/StingraySoftware/notebooks>`_ and browsing the directories, which are conveniently divided by topic. | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. @taldcroft Is this addition in the right direction for what you were asking? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Sounds good, thanks. |
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A Spectral timing exploration | ||
----------------------------- | ||
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@masonng-astro @taldcroft Here are the new badges, including the repo status from repostatus.org and the supported Python versions, as requested