Module geometry 

Turn a processed elevation grid into drawable ridge lines.

Upstream plot_map draws row i at y = row - 6*i with a background-colored fill from the baseline up to the line (the occlusion trick that makes front ridges hide back ridges). RidgeScene captures that geometry, plus the matplotlib figure layout (figure size, axes rect, data limits) so the SVG exporter and the web canvas render identically.

Structs

FigureLayout

Where the axes rect sits and how data maps into it.

RidgeRow

One ridge line: its baseline and y-values (NaN = gap, no line drawn).

RidgeScene

Enums

ColorKind

What drives per-line color.

Fit

How the rotated grid fits the canvas.

Constants

AXES_MARGIN

matplotlib default axes margins (5% padding each side of the data).

DEFAULT_SIZE_SCALE

matplotlib default figure.figsize used by upstream (size_scale=20).

FIG_DPI

matplotlib default dpi used for px math (figsize is in inches).

LINE_SPACING

Upstream: y_base = -6 * idx * np.ones_like(row).

SUBPLOT_BOTTOM

SUBPLOT_LEFT

matplotlib default subplot_params (fractions of the figure).

SUBPLOT_RIGHT

SUBPLOT_TOP

Functions

build_scene

Run the full pipeline: sample -> (optional rotate) -> preprocess -> scene.

build_scene_fit

As build_scene, with an explicit Fit. Fit::Plane also skips the upstream axis swap (the client rotates a fixed-resolution plane), so the scene the browser recomputes locally matches the exported SVG exactly.