"""Original exact-arithmetic illustration of Fermat numbers. Tested with Python 3.14.4, matplotlib 3.10.7 and numpy 2.3.5. Run from _media; writes its matching PNG into the current directory. """ from pathlib import Path import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt def main(): numbers = [2 ** (2**n) + 1 for n in range(9)] assert numbers[5] == 641 * 6700417 digits = [len(str(number)) for number in numbers] plt.rcParams.update({"font.size": 12, "figure.facecolor": "white"}) fig, axes = plt.subplots(1, 2, figsize=(12, 5.6), gridspec_kw={"width_ratios": [1.6, 1]}) fig.subplots_adjust(left=0.03, right=0.98, bottom=0.17, top=0.79, wspace=0.14) fig.suptitle("Fermat numbers: a striking start is not a universal pattern", fontsize=18, y=0.97) fig.text(0.5, 0.885, r"Exact integers: $F_n=2^{2^n}+1$; each step doubles the exponent", ha="center") axes[0].axis("off") rows = [[str(n), str(2**n), f"{numbers[n]:,}", "prime" if n < 5 else "641 × 6,700,417"] for n in range(6)] table = axes[0].table(cellText=rows, colLabels=["n", "Exponent", "Fₙ", "Arithmetic verdict"], cellLoc="center", colWidths=[0.08, 0.17, 0.30, 0.45], bbox=[0, 0.10, 1, 0.84]) table.auto_set_font_size(False) table.set_fontsize(12) for (row, column), cell in table.get_celld().items(): cell.set_edgecolor("#d2d9e0") if row == 0: cell.set_facecolor("#e9eff5") cell.set_text_props(weight="bold") else: cell.set_facecolor("#fff0e5" if row == 6 else "white") axes[0].text(0.5, 0, "One proper factor is enough to refute ‘all are prime’.", transform=axes[0].transAxes, ha="center", va="center", fontsize=11) ax = axes[1] ax.bar(range(9), digits, color="#235d9f", width=0.65) for n, value in enumerate(digits): ax.text(n, value + 1.2, str(value), ha="center", fontsize=11) ax.set(xlabel="Index n", ylabel="Number of decimal digits", ylim=(0, 87), xticks=range(9)) ax.set_title("Size grows very quickly", fontsize=14) ax.grid(axis="y", color="#e2e6ea") ax.set_axisbelow(True) for side in ("top", "right"): ax.spines[side].set_visible(False) fig.text(0.5, 0.055, "Bars show digit counts, not primality. All entries are calculated exactly, not measured data.", ha="center", fontsize=11) fig.savefig(Path(__file__).with_suffix(".png").name, dpi=110, facecolor="white", transparent=False) plt.close(fig) if __name__ == "__main__": main()