"""Two optimal binary prefix trees. Python 3.14, matplotlib 3.10.7, numpy 2.3.5. Run from _media; writes the matching PNG basename to the current directory. """ from fractions import Fraction from pathlib import Path import matplotlib.pyplot as plt import numpy as np WEIGHTS = {"A": Fraction(2, 5), "B": Fraction(1, 5), "C": Fraction(1, 5), "D": Fraction(1, 5)} def draw_tree(ax, tree, title, lengths, merge_caption): leaves = [] def walk(node, code=""): if isinstance(node, str): leaves.append((node, code)) else: walk(node[0], code + "0") walk(node[1], code + "1") walk(tree) codes = dict(leaves) assert tuple(len(codes[s]) for s in "ABCD") == lengths assert sum(WEIGHTS[s] * len(codes[s]) for s in codes) == 2 assert all(not b.startswith(a) for a in codes.values() for b in codes.values() if a != b) x_positions = dict(zip(codes, np.linspace(0, 3, 4))) def position(node, depth=0): if isinstance(node, str): return x_positions[node], -depth, WEIGHTS[node] children = [position(child, depth + 1) for child in node] x = sum(p[0] for p in children) / 2 y = -depth weight = sum(p[2] for p in children) for i, (cx, cy, _) in enumerate(children): ax.plot([x, cx], [y, cy], color="#536373", lw=1.7, zorder=1) ax.text((x + cx) / 2 + (-0.065 if i == 0 else 0.065), (y + cy) / 2, str(i), ha="center", va="center", fontsize=12, color="#354452", backgroundcolor="white") is_tie = weight == Fraction(2, 5) ax.text(x, y, f"{float(weight):.1f}", ha="center", va="center", fontsize=13, bbox=dict(boxstyle="circle,pad=0.28", fc="white", ec="#be5832" if is_tie else "#536373", lw=1.7), zorder=3) return x, y, weight position(tree) for s, code in leaves: ax.text(x_positions[s], -len(code), f"{s} ({float(WEIGHTS[s]):.1f})\n{code}\nd = {len(code)}", ha="center", va="center", fontsize=12, bbox=dict(boxstyle="round,pad=0.35", fc="white", ec="#be5832" if s == "A" else "#287c69", lw=1.7), zorder=4) ax.set(xlim=(-0.7, 3.7), ylim=(-3.8, 0.6)) ax.set_title(title, fontsize=14, pad=13) ax.text(1.5, -3.65, "Lengths: " + ", ".join(map(str, lengths)), ha="center", fontsize=13, weight="bold") ax.text(0.5, -0.13, merge_caption, transform=ax.transAxes, ha="center", fontsize=12) ax.axis("off") def main(): plt.rcParams.update({"font.family": "DejaVu Sans", "figure.facecolor": "white"}) fig, axes = plt.subplots(1, 2, figsize=(11.8, 6.2), dpi=100) draw_tree(axes[0], (("A", "B"), ("C", "D")), "Merge B with A (weight 0.4)", (2, 2, 2, 2), "Cost = (0.4 + 0.2 + 0.2 + 0.2) × 2 = 2 bits") draw_tree(axes[1], ("A", ("B", ("C", "D"))), "Merge B with CD (weight 0.4)", (1, 2, 3, 3), "Cost = 0.4 × 1 + 0.2 × 2 + 0.2 × 3 + 0.2 × 3 = 2 bits") fig.suptitle("A tie changes the tree shape without changing the optimal mean", fontsize=15, y=0.97) fig.text(0.5, 0.89, "First merge C and D: their combined weight 0.4 ties with A.", ha="center", fontsize=12) fig.text(0.5, 0.035, "Both sequences have merge weights 0.4, 0.6, 1.0, summing to 2 bits per symbol.", ha="center", fontsize=12) fig.subplots_adjust(left=0.025, right=0.975, top=0.77, bottom=0.22, wspace=0.15) fig.savefig(Path(__file__).with_suffix(".png").name, facecolor="white", transparent=False) plt.close(fig) if __name__ == "__main__": main()