Easier accessibility to key values

I am interested in determining whether there is a simpler method to directly access and print specific variable values from the results, without the need to manually open the OUT.DAT file. While I am aware of methods to display key output variables, such as:

print(f"Heat transport system: {single_run.models.costs.c226:.3e} M$")
print(f"Electrical plant equipment: {single_run.models.costs.c24:.3e} M$")

these require detailed knowledge of the entire data structure to accurately reference and print the desired variables. For instance, if I want to view only a few specific variables like rmajor, rminor, q0, beta_n, and Q-value, I would need to search through the data structure to identify the correct paths to print these values.

Currently, using the following approach:

runs_metadata = [
    RunMetadata(data_dir / "large_tokamak_1_MFILE.DAT", "large tokamak 1"),
]

# Figure and dataframe returned for optional further modification
fig1, df1 = plot_mfile_solutions(
    runs_metadata=runs_metadata,
    plot_title="Large tokamak solution 1",
)
df1

results are typically presented as figures or tables, which does not provide direct access to individual variable values.

It would be highly beneficial to have a more straightforward method to access and print specific key result variables, such as runs_metadata.rmajor, runs_metadata.thwcndut, and others. This would significantly enhance the usability and efficiency of working with the data. I hope there would be a function that can convert OUT.DAT data into dictionary or class type structure.

Start by reading the RunMetadata and plot_mfile_solutions entry points, then trace how OUT.DAT and MFILE.DAT results become figures or dataframes. Compare the requested rmajor, rminor, q0, beta_n, and Q-value access patterns with the existing costs examples. Done should be a documented, consistent way to retrieve selected result variables without manually discovering nested paths.