Cantera/Adding Python Classes - Revision history

Admin at 05:31, 21 March 2017

2017-03-21T05:31:12Z

← Older revision		Revision as of 05:31, 21 March 2017
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	The second, more difficult, but much more flexible, way to add new Python classes to Cantera is to add new classes to Cantera's C++ interface, then add extra code to allow Python to call the C++ object. This allows you to really dig into Cantera and provides you with much more flexibility, at the cost of more "infrastructure" code written around the new C++ code.		The second, more difficult, but much more flexible, way to add new Python classes to Cantera is to add new classes to Cantera's C++ interface, then add extra code to allow Python to call the C++ object. This allows you to really dig into Cantera and provides you with much more flexibility, at the cost of more "infrastructure" code written around the new C++ code.

			[[Category:Cantera]]
			[[Category:Python]]

Admin: Admin moved page Cantera/Adding Python Class Via Cpp to Cantera/Adding Python Classes

2017-03-21T05:30:48Z

Admin moved page Cantera/Adding Python Class Via Cpp to Cantera/Adding Python Classes

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Revision as of 05:30, 21 March 2017

Admin: Created page with "Adding Python Class via C plus plus =Two Approaches= There are two ways to add new Python classes within Cantera. The first is the easy but less flexible Python method, and..."

2017-03-21T05:30:29Z

Created page with "Adding Python Class via C plus plus =Two Approaches= There are two ways to add new Python classes within Cantera. The first is the easy but less flexible Python method, and..."

New page

Adding Python Class via C plus plus

=Two Approaches=

There are two ways to add new Python classes within Cantera. The first is the easy but less flexible Python method, and the second is the more difficult but more flexible C++ method.

==Python Approach==

The first, and easiest, is to extend the existing Cantera Python classes using inheritance. This does not modify any of Cantera's underlying behavior, but allows you to wrap it and extend it. This is the right approach if you're happy with how Cantera works, and you want to make creating Reactors and Reactor Networks easier.

I illustrate this approach by creating a residence time reactor, which extends the Cantera Reactor class. The residence time reactor takes a residence time as a constructor argument, does some calculations, then initializes the Cantera Reacotr (i.e., itself) with the right parameters: [[Cantera/ResidenceTimeReactor]]

==C++ Approach==

The second, more difficult, but much more flexible, way to add new Python classes to Cantera is to add new classes to Cantera's C++ interface, then add extra code to allow Python to call the C++ object. This allows you to really dig into Cantera and provides you with much more flexibility, at the cost of more "infrastructure" code written around the new C++ code.