[pre-commit.ci] Apply automatic pre-commit fixes

Author: pre-commit-ci[bot]

testing/jupyterlab/README.md

@@ -49,6 +49,7 @@ You can run tests locally on your machine, or remotely in the cloud.
 4. Once you have entered all the information, click on the **Run workflow** button.
 
 [^1]: `main` is the default branch for JupyterLab hence this is the default value for the `ref` parameter.
+
 [^2]: This is useful if you want to test the accessibility of a package that is not part of the JupyterLab repository. See the [Testing Changes to External Pages](https://jupyterlab.readthedocs.io/en/latest/developer/contributing.html#id17) section of JupyterLab's documentation for more information.
 
 #### Inspecting the test results
@@ -101,7 +102,6 @@ Follow these steps to download and read the reports locally:
    ```
 
 1. Install JupyterLab version 3 or 4. There are several ways to do this.
-
    1. You can [install a pre-built version of JupyterLab](https://jupyterlab.readthedocs.io/en/latest/getting_started/installation.html).
    1. Or you can [build JupyterLab from source](https://jupyterlab.readthedocs.io/en/latest/developer/contributing.html#installing-jupyterlab).
       When you've finished, you should be able to run `jupyter lab --version` from the command line.

testing/notebooks/Lorenz.ipynb

@@ -102,7 +102,7 @@
     "    ax.set_xlim((-25, 25))\n",
     "    ax.set_ylim((-35, 35))\n",
     "    ax.set_zlim((5, 55))\n",
-    "    \n",
+    "\n",
     "    def lorenz_deriv(x_y_z, t0, sigma=sigma, beta=beta, rho=rho):\n",
     "        \"\"\"Compute the time-derivative of a Lorenz system.\"\"\"\n",
     "        x, y, z = x_y_z\n",
@@ -116,7 +116,7 @@
     "    t = np.linspace(0, max_time, int(250*max_time))\n",
     "    x_t = np.asarray([integrate.odeint(lorenz_deriv, x0i, t)\n",
     "                      for x0i in x0])\n",
-    "    \n",
+    "\n",
     "    # choose a different color for each trajectory\n",
     "    colors = plt.cm.viridis(np.linspace(0, 1, N))\n",
     "\n",
@@ -160,7 +160,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "w = interactive(solve_lorenz, angle=(0.,360.), max_time=(0.1, 4.0), \n",
+    "w = interactive(solve_lorenz, angle=(0.,360.), max_time=(0.1, 4.0),\n",
     "                N=(0,50), sigma=(0.0,50.0), rho=(0.0,50.0))\n",
     "display(w)"
    ]