Create PlotterConfig dataclass to reduce parameter sprawl

[TravisBumgarner]

Description

The _AbstractPlotter.__init__ takes 10 parameters, and these are repeated in Plotter2D/Plotter3D docstrings. Introduce a PlotterConfig dataclass to group common configuration.

Current Problem

def __init__(
    self,
    title: str,
    x_min: float,
    x_max: float,
    y_min: float,
    y_max: float,
    feed_rate: float,
    handle_out_of_bounds: THandleOutOfBounds,
    output_directory: str,
    include_comments: bool,
    return_home_before_plotting: bool,
): ...

Proposed Solution

@dataclass
class PlotterConfig:
    title: str
    x_min: float
    x_max: float
    y_min: float
    y_max: float
    feed_rate: float
    handle_out_of_bounds: HandleOutOfBounds = "Warning"
    output_directory: str = "./output"
    include_comments: bool = True
    return_home_before_plotting: bool = True

The plotter classes can then accept either individual parameters (for backwards compatibility) or a config object.

Acceptance Criteria

• Create PlotterConfig dataclass in a new config.py file
• Update _AbstractPlotter to use the config internally
• Plotter2D and Plotter3D maintain backwards-compatible constructors
• Docstrings reference the config class instead of repeating all parameters
• All existing tests pass
• Export PlotterConfig from package __init__.py

Dependencies

• Depends on Simplify type aliases in shared_types.py #57 (type alias changes)