| """Direct PlotQA observation comparisons, without digest validation. |
| |
| These are the production drawing primitives. They are not an independent |
| renderer; independence applies to the two semantic executors only. |
| """ |
|
|
| from __future__ import annotations |
|
|
| import copy |
| import io |
| from pathlib import Path |
|
|
| _FONT_READY = False |
|
|
|
|
| def pixels(blob): |
| import numpy as np |
| from PIL import Image |
|
|
| return np.asarray(Image.open(io.BytesIO(blob)).convert("RGBA")) |
|
|
|
|
| def render_direct(world, manifest): |
| global _FONT_READY |
| import matplotlib |
|
|
| matplotlib.use("Agg") |
| from matplotlib import font_manager |
|
|
| from explicit_learning.renderers import plot |
|
|
| if not _FONT_READY: |
| root = Path(matplotlib.get_data_path()) / "fonts" / "ttf" |
| for name in ("DejaVuSans.ttf", "DejaVuSerif.ttf"): |
| font_manager.fontManager.addfont(root / name) |
| _FONT_READY = True |
| family = plot.PLOT_FAMILIES[manifest["renderer_id"]] |
| series = plot._parse_series(world) |
| domain = plot._build_domain(world, series) |
| canvas = plot._Canvas(manifest["width"], manifest["height"], family) |
| visible = plot._draw_plot(canvas, world, series, domain, family) |
| image, owners, counts = canvas.finish() |
| glyphs = [ |
| {"node_id": g.node_id, "text": g.text, "bbox": [g.x0, g.y0, g.x1, g.y1]} |
| for g in sorted(canvas.glyphs, key=lambda x: (x.node_id, x.text, x.x0, x.y0)) |
| ] |
| return { |
| "image": image, |
| "owners": owners, |
| "glyphs": glyphs, |
| "node_table": ["__background__", *canvas.owner_ids], |
| "coverage": {n: counts.get(n, 0) for n in sorted(visible)}, |
| "domain": domain.manifest_record(), |
| } |
|
|
|
|
| def visible_projection(world): |
| world = copy.deepcopy(world) |
| hidden = {n for n, flag in world.get("_node_visibility", {}).items() if flag == "hidden"} |
| for series in world.get("series", []): |
| for point in series.get("points", []): |
| if point["id"] in hidden: |
| point["y"] = None |
| return world |
|
|
