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lsst-daf-butler

pypi codecov

LSST Data Access framework described in arXiv:2206.14941. Please cite the SPIE paper when using this software.

This is a Python 3 only package (we assume Python 3.11 or higher).

PyPI: lsst-daf-butler

This software is dual licensed under the GNU General Public License (version 3 of the License, or (at your option) any later version, and also under a 3-clause BSD license). Recipients may choose which of these licenses to use; please see the files gpl-3.0.txt and/or bsd_license.txt, respectively.

Arrow Memory Leaks

From version 18 of arrow we have seen significant memory leaks when accessing parquet files using the default memory allocator. If you see such leaks the workaround is to set the ARROW_DEFAULT_MEMORY_POOL environment variable to jemalloc following the advice from apache/arrow#45882. For EUPS users this variable is automatically set.

Managing dependencies

This package uses uv to manage the versions of libraries used for CI, Docker builds, and local development.

Upgrading the versions of libraries

Run the following command to refresh uv.lock with the latest available versions of all libraries:

uv lock --upgrade

Temporarily pinning another LSST package to a development branch

If you are working on a PR that requires unreleased changes from another LSST repository, you can temporarily pin the new version by opening pyproject.toml and finding the library in the override-dependencies declaration under tool.uv. Replace main with the ticket branch, e.g.:

override-dependencies = [
    "lsst-utils @ git+https://github.com/lsst/utils@tickets/DM-xxxxx",
    ...
]

Then run:

uv lock --upgrade-package <package name>

to pull in the updated version for testing, where <package name> is lsst-utils or whatever package you are overriding. (You can also just do uv lock --upgrade if you don't mind upgrading all the other libraries at the same time.)

You will need to re-do this lock update any time you change the code, so that it resolves to the new version.

After the other library's development branch has been merged, reset the branch to main in pyproject.toml and run the lock update again to pull in the released version.

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