ruff/crates/ruff/resources/test/fixtures/unformatted.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "98e1dd71-14a2-454d-9be0-061dde560b07",
"metadata": {},
"outputs": [],
"source": [
"import numpy\n",
"maths = (numpy.arange(100)**2).sum()\n",
"stats= numpy.asarray([1,2,3,4]).median()"
]
},
{
"cell_type": "markdown",
"id": "83a0b1b8",
"metadata": {},
"source": [
"A markdown cell"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ae12f012",
"metadata": {},
"outputs": [],
"source": [
"# A cell with IPython escape command\n",
"def some_function(foo, bar):\n",
" pass\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "10f3bbf9",
"metadata": {},
"outputs": [],
"source": [
"foo = %pwd\n",
"def some_function(foo,bar,):\n",
" # Another cell with IPython escape command\n",
" foo = %pwd\n",
" print(foo)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}