codexquotient-map-collapsing-classes.py
quotient-map-collapsing-classes.py
"""Draw quotient fibers; run from _media with Python 3.14.
Uses the repository's matplotlib dependency and writes a PNG to the cwd.
"""
from pathlib import Path
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
from matplotlib.patches import FancyBboxPatch
def main():
colors = ["#0072B2", "#B45400", "#007D64"]
fig, ax = plt.subplots(figsize=(8, 4.7), dpi=130, facecolor="white")
ax.set(xlim=(-0.4, 8.7), ylim=(-0.6, 9.5))
ax.axis("off")
ax.text(4.15, 9.02, r"The quotient map $q(x)=[x]$", ha="center",
fontsize=18, weight="bold")
ax.text(1.6, 8.15, "X: nine elements", ha="center", fontsize=14)
ax.text(6.6, 8.15, r"$X/{\sim}$: three classes", ha="center", fontsize=14)
for r, y in enumerate((6.55, 3.95, 1.35)):
color = colors[r]
ax.add_patch(FancyBboxPatch((0.35, y-0.95), 2.65, 1.9,
boxstyle="round,pad=0.10", edgecolor=color,
facecolor="white", linewidth=1.6, linestyle="--"))
ax.add_patch(FancyBboxPatch((5.45, y-0.65), 2.6, 1.3,
boxstyle="round,pad=0.12", edgecolor=color,
facecolor="white", linewidth=2.4, zorder=3))
for j, n in enumerate(range(r, 9, 3)):
start_y = y + (1-j)*0.59
ax.annotate("", xy=(5.3, y), xytext=(2.75, start_y),
arrowprops={"arrowstyle": "->", "color": color,
"lw": 1.5, "mutation_scale": 14}, zorder=2)
ax.scatter(2.5, start_y, s=430, color=color, zorder=4)
ax.text(2.5, start_y, str(n), ha="center", va="center",
fontsize=13, color="white", weight="bold", zorder=5)
ax.text(0.6, y, f"fiber\nof [{r}]", ha="left", va="center",
fontsize=12, color=color)
ax.text(6.75, y+0.26, f"[{r}]", ha="center", va="center",
fontsize=16, color=color, weight="bold", zorder=4)
ax.text(6.75, y-0.26, "{" + ", ".join(str(n) for n in range(r, 9, 3)) + "}",
ha="center", va="center", fontsize=14, zorder=4)
ax.text(4.2, -0.30, "Each box on the right is one quotient element: an entire set.",
ha="center", fontsize=12, color="#333333")
fig.subplots_adjust(left=0.02, right=0.98, top=0.99, bottom=0.02)
fig.savefig(Path("quotient-map-collapsing-classes.png"),
facecolor="white", transparent=False)
plt.close(fig)
if __name__ == "__main__":
main()