{
"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": [
"\n"
],
"text/plain": [
""
]
},
"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
}