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docs(test): add jupyter notebook render smoke test

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2026-04-12 14:21:56 +02:00
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Trade T1 Notebook Smoke Test\n",
"\n",
"This notebook checks `Jupyter` rendering in Gitea.\n",
"\n",
"Inline math: $e^{i\\\\pi} + 1 = 0$.\n",
"\n",
"Display math:\n",
"\n",
"$$\n",
"\\\\sigma(x) = \\\\frac{1}{1 + e^{-x}}\n",
"$$\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"peak amplitude: 1.0000\\n"
]
},
{
"data": {
"image/svg+xml": [
"<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"640\" height=\"320\" viewBox=\"0 0 640 320\">\n",
" <rect width=\"640\" height=\"320\" fill=\"#ffffff\"/>\n",
" <rect x=\"60\" y=\"30\" width=\"540\" height=\"230\" fill=\"#fbfdff\" stroke=\"#d7e1ea\"/>\n",
" <line x1=\"60\" y1=\"260\" x2=\"600\" y2=\"260\" stroke=\"#475569\" stroke-width=\"2\"/>\n",
" <line x1=\"60\" y1=\"145\" x2=\"600\" y2=\"145\" stroke=\"#cbd5e1\" stroke-width=\"1\" stroke-dasharray=\"4 4\"/>\n",
" <line x1=\"120\" y1=\"30\" x2=\"120\" y2=\"260\" stroke=\"#e2e8f0\" stroke-width=\"1\"/>\n",
" <line x1=\"240\" y1=\"30\" x2=\"240\" y2=\"260\" stroke=\"#e2e8f0\" stroke-width=\"1\"/>\n",
" <line x1=\"360\" y1=\"30\" x2=\"360\" y2=\"260\" stroke=\"#e2e8f0\" stroke-width=\"1\"/>\n",
" <line x1=\"480\" y1=\"30\" x2=\"480\" y2=\"260\" stroke=\"#e2e8f0\" stroke-width=\"1\"/>\n",
" <line x1=\"60\" y1=\"70\" x2=\"600\" y2=\"70\" stroke=\"#e2e8f0\" stroke-width=\"1\"/>\n",
" <line x1=\"60\" y1=\"220\" x2=\"600\" y2=\"220\" stroke=\"#e2e8f0\" stroke-width=\"1\"/>\n",
" <polyline fill=\"none\" stroke=\"#2563eb\" stroke-width=\"4\" stroke-linecap=\"round\" stroke-linejoin=\"round\" points=\"60,145 90,109 120,78 150,54 180,38 210,33 240,40 270,58 300,86 330,120 360,155 390,191 420,221 450,242 480,254 510,253 540,241 570,218 600,185\"/>\n",
" <circle cx=\"60\" cy=\"145\" r=\"5\" fill=\"#ef4444\"/>\n",
" <circle cx=\"240\" cy=\"40\" r=\"5\" fill=\"#ef4444\"/>\n",
" <circle cx=\"420\" cy=\"221\" r=\"5\" fill=\"#ef4444\"/>\n",
" <circle cx=\"600\" cy=\"185\" r=\"5\" fill=\"#ef4444\"/>\n",
" <text x=\"70\" y=\"22\" font-family=\"DejaVu Sans, Arial, sans-serif\" font-size=\"18\" fill=\"#0f172a\">matplotlib sine wave demo</text>\n",
" <text x=\"602\" y=\"266\" font-family=\"DejaVu Sans, Arial, sans-serif\" font-size=\"12\" fill=\"#334155\">x</text>\n",
" <text x=\"36\" y=\"38\" font-family=\"DejaVu Sans, Arial, sans-serif\" font-size=\"12\" fill=\"#334155\">y</text>\n",
" <text x=\"62\" y=\"284\" font-family=\"DejaVu Sans, Arial, sans-serif\" font-size=\"12\" fill=\"#475569\">0</text>\n",
" <text x=\"233\" y=\"284\" font-family=\"DejaVu Sans, Arial, sans-serif\" font-size=\"12\" fill=\"#475569\">π</text>\n",
" <text x=\"412\" y=\"284\" font-family=\"DejaVu Sans, Arial, sans-serif\" font-size=\"12\" fill=\"#475569\">2π</text>\n",
" <text x=\"70\" y=\"84\" font-family=\"DejaVu Sans, Arial, sans-serif\" font-size=\"12\" fill=\"#475569\">1.0</text>\n",
" <text x=\"70\" y=\"236\" font-family=\"DejaVu Sans, Arial, sans-serif\" font-size=\"12\" fill=\"#475569\">-1.0</text>\n",
"</svg>\n"
],
"text/plain": [
"<Figure size 600x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\\n",
"import matplotlib.pyplot as plt\\n",
"\\n",
"x = np.linspace(0, 2 * np.pi, 200)\\n",
"y = np.sin(x)\\n",
"\\n",
"fig, ax = plt.subplots(figsize=(6, 3))\\n",
"ax.plot(x, y, color='tab:blue', linewidth=2, label='sin(x)')\\n",
"ax.scatter([0, np.pi, 2 * np.pi], [0, 0, 0], color='tab:red', zorder=3)\\n",
"ax.set_title('matplotlib sine wave demo')\\n",
"ax.set_xlabel('x')\\n",
"ax.set_ylabel('y')\\n",
"ax.grid(True, alpha=0.25)\\n",
"ax.legend()\\n",
"print(f'peak amplitude: {y.max():.4f}')\\n",
"plt.show()\\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Rendered SVG output above is embedded in the notebook, so Gitea can display it without executing Python on the server.\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
}