This page records practical notes for running LDSFL-Meander on macOS and other systems where matplotlib/Tk GUI backends can behave differently from Windows or Linux.
Before launching the GUI, check the CLI path:
python -m run_ldsfl --base-dir . --cases 1 --max-steps 1 --no-plots
python -m pytestIf this passes, the numerical and file-output paths are working. Any remaining issue is likely GUI/backend related rather than a solver failure.
The GUI uses a desktop plotting stack. On macOS, matplotlib backends can depend on:
- how Python was installed;
- whether Tk is available;
- whether the session is launched from Terminal, an IDE, or Finder;
- whether the environment is headless or remote;
- the installed matplotlib backend configuration.
A common symptom is a crash or freeze when a GUI backend such as TkAgg is unavailable or unstable.
For CLI and automated runs, prefer:
python -m run_ldsfl --base-dir . --cases 1 --max-steps 100 --no-plotsThis avoids interactive plotting and is the recommended route for:
- GitHub Actions;
- remote servers;
- headless sessions;
- macOS systems with matplotlib/Tk issues;
- reproducibility tests.
The Agg backend is useful for non-interactive file rendering, but it is not an interactive GUI backend. Forcing Agg globally can avoid some crashes in headless runs, but it can also break or limit interactive GUI behaviour.
Preferred approach:
- Use non-interactive figure saving for output files.
- Use
--no-plotsfor headless CLI runs. - Keep GUI backend configuration local to the GUI path.
- Avoid changing global matplotlib backend settings inside general output functions.
Try the following steps.
python -m run_ldsfl --base-dir . --cases 1 --max-steps 1 --no-plotsIn Python:
import tkinter
print(tkinter.TkVersion)If this fails, install or repair Tk support in the active Python environment.
For conda environments, this may help:
conda install tkIn Python:
import matplotlib
print(matplotlib.get_backend())If the backend is not compatible with the session, launch the CLI with --no-plots or use a Python environment with a working desktop backend.
On macOS, launching GUI Python programs from Terminal is often more reliable than launching from an IDE or file manager.
python gui_ldsfl.pyIf a macOS GUI problem persists, include:
- macOS version;
- Python version;
- installation method, for example conda, pyenv, system Python, or Homebrew;
- matplotlib version;
- output of
matplotlib.get_backend(); - whether
import tkinterworks; - the exact command used;
- the traceback or crash message;
- whether the CLI command with
--no-plotsworks.
The numerical solver and output-writing path should not require an interactive plotting backend. GUI-specific plotting should remain isolated from CLI/headless output paths so that scientific runs remain reproducible across platforms.