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docs/getting_started.rst

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Installation
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------------
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The latest release version of HATS is available to install with `pip <https://pypi.org/project/hats/>`_ (with conda coming soon).
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The latest release version of HATS is available to install with
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`pip <https://pypi.org/project/hats/>`__ (with conda coming soon).
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.. code-block:: bash
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We recommend Python versions **>=3.10, <=3.12**.
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HATS can also be installed from source on `GitHub <https://github.com/astronomy-commons/hats>`_.
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HATS can also be installed from source on `GitHub <https://github.com/astronomy-commons/hats>`__.
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LSDB
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----
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For the most part, we recommend accessing and processing HATS data using the `LSDB package
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<https://github.com/astronomy-commons/lsdb>`_ framework. LSDB provides a variety of utility
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<https://github.com/astronomy-commons/lsdb>`__ framework. LSDB provides a variety of utility
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functions as well as a lazy, distributed execution framework using Dask.
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For detail on LSDB, see the `readthedocs site <https://docs.lsdb.io/en/stable/>`_.
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For detail on LSDB, see the `readthedocs site <https://docs.lsdb.io/en/stable/>`__.

docs/guide/contributing.rst

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2) ``pre-commit install`` will initialize pre-commit for this local repository, so
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that a set of tests will be run prior to completing a local commit. For more
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information, see the Python Project Template documentation on
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`pre-commit <https://lincc-ppt.readthedocs.io/en/stable/practices/precommit.html>`_.
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`pre-commit <https://lincc-ppt.readthedocs.io/en/stable/practices/precommit.html>`__.
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3) Install ``pandoc`` allows you to verify that automatic rendering of Jupyter notebooks
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into documentation for ReadTheDocs works as expected. For more information, see
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the Python Project Template documentation on
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`Sphinx and Python Notebooks <https://lincc-ppt.readthedocs.io/en/stable/practices/sphinx.html#python-notebooks>`_.
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`Sphinx and Python Notebooks <https://lincc-ppt.readthedocs.io/en/stable/practices/sphinx.html#python-notebooks>`__.
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.. tip::
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Installing on Mac
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-------------------------------------------------------------------------------
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Once your PR is merged you can create a new release to make your changes available.
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GitHub's `instructions <https://docs.github.com/en/repositories/releasing-projects-on-github/managing-releases-in-a-repository>`_
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GitHub's `instructions <https://docs.github.com/en/repositories/releasing-projects-on-github/managing-releases-in-a-repository>`__
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for doing so are here.
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Use your best judgement when incrementing the version. i.e. is this a major, minor, or patch fix.

docs/guide/directory_scheme.rst

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Partitioning Scheme
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-------------------------------------------------------------------------------
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We use healpix (`Hierarchical Equal Area isoLatitude Pixelization <https://healpix.jpl.nasa.gov/>`_)
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We use healpix (`Hierarchical Equal Area isoLatitude Pixelization <https://healpix.jpl.nasa.gov/>`__)
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for the spherical pixelation, and adaptively size the partitions based on the number of objects.
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In areas of the sky with more objects, we use smaller pixels, so that all the

docs/index.rst

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This was originally motivated by a desire to perform spatial cross-matching between surveys
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at large scale, but is applicable to a range of spatial analysis and algorithms.
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We use healpix (`Hierarchical Equal Area isoLatitude Pixelization <https://healpix.jpl.nasa.gov/>`_)
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We use healpix (`Hierarchical Equal Area isoLatitude Pixelization <https://healpix.jpl.nasa.gov/_)
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for the spherical pixelation, and adaptively size the partitions based on the number of objects.
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Each partition will have roughly the same number of objects, instead of dividing into equal area.
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Because each partition is roughly the same size on disk, we can expect reasonable performance of
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for interacting with the healpix space. This allows for multiple libraries to implement parallel
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operations on top of these utilities. Some known extensions:
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* `LSDB <https://lsdb.readthedocs.io/>`_ - Large Survey Database - A framework for scalable
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* `LSDB <https://lsdb.readthedocs.io/>`__ - Large Survey Database - A framework for scalable
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spatial analysis using ``dask`` for job scheduling and execution.
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* `hats-import <https://hats-import.readthedocs.io/>`_ - map reduce pipelines for converting
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* `hats-import <https://hats-import.readthedocs.io/>`__ - map reduce pipelines for converting
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large or custom catalogs into HATS format.
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.. toctree::
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-------------------------------------------------------------------------------
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For the most part, we recommend accessing and processing HATS data using the `LSDB package
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<https://github.com/astronomy-commons/lsdb>`_ framework. LSDB provides a variety of utility
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<https://github.com/astronomy-commons/lsdb>`__ framework. LSDB provides a variety of utility
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functions as well as a lazy, distributed execution framework using Dask. However if you are are
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interested in using just the HATS package, you can find installation instructions at the
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:doc:`getting started page</getting_started>`.

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