check fix

src/docs/user-guide/ondemand.md

@@ -322,26 +322,27 @@ To create a custom kernel for a virtual environment using Python 3.x:
     $ pip3 install ipykernel
     $ python3 -m install --user --name env --display-name "My Env"
     ```
-    
-    This will create a kernel for the environment `env`. It will appear as "My Env"
-    in the JupyterLab Launcher.
-    
-!!! Note "Creating a custom kernel for a Python 2.x environment"
-    
-    When working with a Python 2.x environment, use the `python`/`pip`
-    commands instead.
-
-2. The custom kernel will now be listed as option in the "Notebook" and "Console"
-   sections in the JupyterLab Launcher. To start a Jupyter Notebook using your
-   virtual environment, click on the tile for that kernel.
-
-!!! warning "Creating a custom kernel for a conda environment"
-
-    In order to use a kernel created from a conda environment, you must unload the
-    `python` and `py-jupyterlab` modules from your JupyterLab session. This can
-    be done using the JupyterLab Lmod extension. To use the Lmod extension, select
-    the bottom tab in the left side menu of your JupyterLab window. You may also
-    need to restart the kernel for your notebook or console.
+
+    This will create a kernel for the environment `env`. It will appear as `My
+    Env` in the JupyterLab Launcher.
+
+    !!! Note "Creating a custom kernel for a Python 2.x environment"
+
+        When working with a Python 2.x environment, use the `python`/`pip`
+        commands instead.
+
+2. The custom kernel will now be listed as option in the "Notebook" and
+   "Console" sections in the JupyterLab Launcher. To start a Jupyter Notebook
+   using your virtual environment, click on the tile for that kernel.
+
+    !!! warning "Creating a custom kernel for a conda environment"
+
+        In order to use a kernel created from a conda environment, you must
+        unload the `python` and `py-jupyterlab` modules from your JupyterLab
+        session. This can be done using the JupyterLab Lmod extension. To use
+        the Lmod extension, select the bottom tab in the left side menu of your
+        JupyterLab window. You may also need to restart the kernel for your
+        notebook or console.
 
 
 ### MATLAB