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…ients argument (#1847) The eval_gradients() methods duplicate much of the code of the eval() methods. To increase the maintainability of the code, the eval_gradients() methods have been removed, and the computation of partial derivatives is now done by the eval() methods if the optional gradients argument is set to true.
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…or the observation Python module. The classname() method returns in a human readable format the class name. This method is needed for full automatic typecasting in Python. Full automatic typecasting has for the moment been implemented for the observation module.
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The coding and design conventions (CDC) document was also updated.
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All models derived from GModelData now need to implement a mc() method. The abstract mc() method returns a pointer to GEvents*, thus allowing a method to either simulate an event list or an event cube.
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The isconstant() method signals if a model is temporally constant or not. This information can be used at an abstract level to perform yes or no a temporal integration of the model.
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Add GChatter argument to print() method. The print() method now takes an argument of type GChatter to control the chattiness of the output in a homogenous manner. Pass NORMAL chatter level in __str__ method. Add chatter argument to print() methods. Use GLog::chatter() method to control the chattiness of the log stream operator. Add chatter() methods and provide member access through const references. Add chatter() methods, provide member access through const references, and declare one liners as inline methods. The chatter() methods control the new m_chatter attribute that is used to control the chattiness of the object's print() methods. name() and version() methods return const references. logFileOpen() method now sets the chattiness from the applications's chatter parameter, and name() and version() methods now return a const reference.
