Fix rst note directive

Author: PProfizi

doc/source/user_guide/tutorials/custom_operators_and_plugins/custom_operators.rst

@@ -4,12 +4,14 @@
 Custom operators
 ================
 
-.. note:
-    This tutorial requires DPF 11.0 or above.
+.. note::
+
+    This tutorial requires DPF 18.0 or above.
 
 This tutorial shows the basics of creating a custom operator in Python and loading it ont a server for use.
 
-.. note:
+.. note::
+
     You can create custom operators in CPython using PyDPF-Core for use with DPF in Ansys 2023 R1 and later.
 
 It first presents how to :ref:`create a custom DPF operator<tutorials_custom_operators_and_plugins_custom_operator_create_custom_operator>`
@@ -22,7 +24,8 @@ The next step is to :ref:`load the plugin on the server<tutorials_custom_operato
 
 The final step is to instantiate the custom operator from the client API and :ref:`use it<tutorials_custom_operators_and_plugins_custom_operator_use_the_custom_operator>`.
 
-.. note:
+.. note::
+
     In this tutorial the DPF client API used is PyDPF-Core but, once recorded on the server,
     you can call the operators of the plugin using any of the DPF client APIs
     (C++, CPython, IronPython), as you would any other operator.

doc/source/user_guide/tutorials/custom_operators_and_plugins/index.rst

@@ -23,7 +23,8 @@ With support for custom operators, PyDPF-Core becomes a development tool offerin
 The only prerequisite for creating custom operators is to be familiar with native operators.
 For more information, see :ref:`ref_user_guide_operators`.
 
-.. note:
+.. note::
+
     You can create custom operators in CPython using PyDPF-Core for use with DPF in Ansys 2023 R1 and later.
 
 The following tutorials demonstrate how to develop such plugins using PyDPF-Core (CPython based) and how to use them.