docs: Update docs to pass linter (#8705)

docs/setup-cluster/on-prem/options/wsl.rst

@@ -23,8 +23,7 @@ master and agent running on the same machine within WSL.
 -  WSL 2 `installed and enabled <https://learn.microsoft.com/en-us/windows/wsl/install>`_ on your
    Windows machine.
 
--  An Ubuntu or an Enterprise Linux WSL distribution installed from the Microsoft Store,
-   such as:
+-  An Ubuntu or an Enterprise Linux WSL distribution installed from the Microsoft Store, such as:
 
       -  `Ubuntu 22.04 LTS <https://www.microsoft.com/store/productId/9PDXGNCFSCZV>`_
       -  `AlmaLinux 9 <https://www.microsoft.com/store/productId/9P5RWLM70SN9>`_
@@ -67,7 +66,7 @@ Edit the configuration file to enable ``systemd`` within your WSL distribution.
 #########################################
 
 This user guide provides instructions for using the ``det deploy`` command-line tool to deploy
-Determined locally on WSL. ``det deploy`` automates the process of starting Determined as a 
+Determined locally on WSL. ``det deploy`` automates the process of starting Determined as a
 collection of Docker containers.
 
 You can also use ``det deploy`` to install Determined on the cloud. For more information, see the
@@ -137,8 +136,7 @@ master and an agent on the same node. To do this, run one of the following comma
    det deploy local cluster-up --no-gpu
 
 This will start a master and an agent on that machine. To verify that the master is running,
-navigate to ``http://localhost:8080`` in a browser, which should bring up the Determined
-WebUI.
+navigate to ``http://localhost:8080`` in a browser, which should bring up the Determined WebUI.
 
 To open the WebUI from WSL:
 
@@ -186,4 +184,4 @@ To stop a Determined cluster, on the machine where a Determined cluster is curre
 .. note::
 
    ``det deploy local cluster-down`` will not remove any agents created with ``det deploy local
-   agent-up``. To remove these agents, use ``det deploy local agent-down``.
+   agent-up``. To remove these agents, use ``det deploy local agent-down``.

docs/setup-cluster/on-prem/requirements.rst

@@ -15,7 +15,7 @@ A Determined cluster has the following requirements.
 Software
 ========
 
--  The Determined agent and master nodes must be configured with Ubuntu 20.04 or later, Enterprise 
+-  The Determined agent and master nodes must be configured with Ubuntu 20.04 or later, Enterprise
    Linux 7 (such as AlmaLinux, Red Hat Enterprise Linux, or Rocky Linux), or macOS 10.13 or later.
 
 -  The agent nodes must have :ref:`Docker installed <install-docker>`.
@@ -144,7 +144,7 @@ Install on macOS
 Docker on macOS does not support containers that use GPUs. Because of this, macOS Determined agents
 are only able to run CPU-based workloads.
 
-.. _install-docker-on-WSL:
+.. _install-docker-on-wsl:
 
 Install on Windows Subsystem for Linux (WSL)
 ============================================

docs/tutorials/quickstart-mdldev.rst

@@ -33,16 +33,18 @@ Software
 
 -  Determined *agent* and *master* nodes must be configured with the following operating systems:
 
-   - Ubuntu 20.04 or later
-   - Enterprise Linux (e.g., AlmaLinux, Oracle Linux, Red Hat Enterprise Linux, or Rocky Linux) 7 or higher
-   - Windows Subsystem for Linux (WSL) 2 on Windows 10 version 1903 or higher, with a supported Linux distribution
-     installed
-   - macOS 10.13 or later
+   -  Ubuntu 20.04 or later
+   -  Enterprise Linux (e.g., AlmaLinux, Oracle Linux, Red Hat Enterprise Linux, or Rocky Linux) 7
+      or higher
+   -  Windows Subsystem for Linux (WSL) 2 on Windows 10 version 1903 or higher, with a supported
+      Linux distribution installed
+   -  macOS 10.13 or later
 
 -  Agent nodes must have Docker installed.
 
--  To run jobs that use GPUs, you need NVIDIA drivers with a version of 384.81 or later installed on each agent. 
-   These drivers can be installed independently, but you don't need to install the entire CUDA toolkit.
+-  To run jobs that use GPUs, you need NVIDIA drivers with a version of 384.81 or later installed on
+   each agent. These drivers can be installed independently, but you don't need to install the
+   entire CUDA toolkit.
 
 Hardware
 ========