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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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The GModelSpectralRegistry::alloc() method now also checks for the existence of model parameters and allocates the appropriate model from the registry that is found in the XML file base on model type and parameter names. This allows now to have the same model type but different parameter names in the registry. The spectral model classes have been adapted to the new logic, and models have been added to the registry for all parameter combinations that may exist. The unit tests and documentation have been updated.
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…eval_gradients() methods.
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…ould fix the bug #1556.
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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 GModelSpectralSuperExpPlaw code has been reviewed for integration into the development tree. Most changes were related to code formatting, some changes were needed in the XML interface to correctly reflect the model type "PLSuperExpCutoff". A unit test method has been added to test_GModel, modelled on unit tests for other spectral models.
