Version bump, for releasing deeplabcut-docker 0.1.0

See changelog below

v0.1.0 — 2026-05-29

This release revives and modernises the deeplabcut-docker helper, which was
not actively maintenance and was broken for the Jupyter images on Docker Hub.
The vendored shell script (deeplabcut_docker.sh) has been replaced with
a pure-Python implementation, and the package setup has been modernised.

Breaking changes / migration

• The package now requires Python ≥ 3.10.
• setup.cfg / MANIFEST.in have been replaced by pyproject.toml.
  Re-install from the new package to pick up the updated entry point.

New features

• Pure-Python rewrite — replaced the vendored shell script with a single
  deeplabcut_docker.py module; no shell dependency required.
• --image flag — pass an arbitrary repo:tag or digest to override the
  default image selection from DLC_VERSION / CUDA_VERSION.
• Local image support — skips the registry pull when a matching image is
  already present locally (or when a specific version/image is requested).
• Supplementary group forwarding — all supplementary groups of the current
  host user are forwarded into the container via --group-add.
• Jupyter image validation — warns at startup when the pulled image does
  not appear to have a Jupyter entrypoint.
• Configurable Docker binary — override via DOCKER environment variable
  (e.g. DOCKER="sudo docker").
• Token privacy — the notebook token is no longer echoed to the terminal by
  default; users are instructed to use the value of NOTEBOOK_TOKEN instead.

Security

• Empty-token warning — setting NOTEBOOK_TOKEN= (empty string) disables
  Jupyter token authentication. deeplabcut-docker notebook now logs a
  prominent warning in this case.

Bug fixes

• Fixed broken Jupyter image support on the current Docker Hub tags.
• Fixed default user home directory (/home/{user} instead of root).
• Fixed notebook token not being propagated into the container environment.
• Improved error logging and exit-status propagation from docker subprocesses.

Infrastructure

• Replaced setup.cfg + MANIFEST.in with pyproject.toml.
• Added LICENSE (LGPL-3.0) and Makefile for local build and PyPI release.