"""Original conceptual diagram; output is written to the current directory. Tested with Python 3.14.4 and Matplotlib 3.10.7. No empirical values or source figures are reproduced. Arrows distinguish measurement routes, not proven independent memory systems. """ from pathlib import Path import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt from matplotlib.patches import FancyArrowPatch, FancyBboxPatch def main(): plt.rcParams.update({"font.family": "DejaVu Sans", "font.size": 11}) fig, ax = plt.subplots(figsize=(9.4, 3.8), dpi=130, facecolor="white") ax.set_facecolor("white") centers = [0.09, 0.295, 0.50, 0.705, 0.91] labels = ["Early\nexperience", "Memory\nencoding", "Information\nretained", "Information\nretrieved", "Verbal\nreport"] width, height, y = 0.16, 0.22, 0.69 def box(x, y, label, width=width, color="#e4eff7"): patch = FancyBboxPatch((x-width/2, y-height/2), width, height, boxstyle="round,pad=0.005,rounding_size=0.02", linewidth=1.4, edgecolor="#35668a", facecolor=color) ax.add_patch(patch) ax.text(x, y, label, ha="center", va="center", color="#19374d") def arrow(start, stop): ax.add_patch(FancyArrowPatch(start, stop, arrowstyle="-|>", linewidth=1.5, mutation_scale=13, color="#526b7b", shrinkA=4, shrinkB=4)) for x, label in zip(centers, labels): box(x, y, label) for left, right in zip(centers, centers[1:]): arrow((left+width/2, y), (right-width/2, y)) box(centers[3], 0.27, "Nonverbal\nresponse", color="#fff0d8") box(centers[4], 0.27, "Reported\nevent date", color="#fff0d8") arrow((centers[3], y-height/2), (centers[3], 0.27+height/2)) arrow((centers[4], y-height/2), (centers[4], 0.27+height/2)) ax.text(0.32, 0.30, "Cue support and response format\nchange what a test can reveal.", ha="center", va="center", fontsize=12, color="#19374d") ax.text(0.50, 0.045, "Conceptual measurement routes ยท a failed report does not identify where access failed", ha="center", va="center", fontsize=10, color="#526b7b") ax.set_xlim(-0.015, 1.015) ax.set_ylim(-0.01, 1) ax.axis("off") fig.subplots_adjust(left=0.02, right=0.98, bottom=0.04, top=0.96) fig.savefig(Path.cwd() / (Path(__file__).stem + ".png"), facecolor="white", transparent=False, metadata={"Software": "Matplotlib"}) plt.close(fig) if __name__ == "__main__": main()