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Upload VeriRender benchmark dataset
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import numpy as np
import matplotlib.pyplot as plt
# ── Parameters ─────────────────────────────────────────────────────────────
seed = 1305
size = 40
colormap = "plasma"
n_blobs = 3
# ── Data ────────────────────────────────────────────────────────────────────
x = np.linspace(-3.0, 3.0, size)
y = np.linspace(-2.0, 4.0, size)
X, Y = np.meshgrid(x, y)
Z = np.zeros((size, size))
Z += -0.837552 * np.exp(
-((X - 1.470197)**2 / (2 * 0.916384**2)
+ (Y - 0.091304)**2 / (2 * 0.836730**2))
)
Z += -1.512303 * np.exp(
-((X - 1.008116)**2 / (2 * 0.686052**2)
+ (Y - -0.480896)**2 / (2 * 0.933090**2))
)
Z += -1.641695 * np.exp(
-((X - -1.151197)**2 / (2 * 0.716581**2)
+ (Y - 0.111584)**2 / (2 * 1.385345**2))
)
# ── Plot ────────────────────────────────────────────────────────────────────
fig, ax = plt.subplots(figsize=(6, 5))
im = ax.pcolormesh(X, Y, Z, cmap=colormap, shading="auto")
fig.colorbar(im, ax=ax, label="Intensity")
ax.set_title(f"Gaussian Heatmap ({n_blobs} blob(s))")
ax.set_xlabel("X")
ax.set_ylabel("Y")
fig.tight_layout()
plt.show()