Using Python : first example
Python is very useful to express some developments which are not easy to express in NDF.
For example, python can easily do mathematical calculs. To calculate (TAccesseurA + TAccesseurB)/(log TAccesseurC), you can write in NDF :
<ndf> ResultOfComplexCalcul is TAccesseurRealDivide : AccesseurNumerateur = TAccesseurRealAdd : RealList = [ TAccesseurA, TAccesseurB, ] AccesseurDenominateur = TAccesseurRealLogN : AccesseurReal = TAccesseurC </ndf>
In python, this is much simpler and easy to modify :
<ndf> ResultOfComplexCalcul is TAccesseurRealPython : ParamsNoEval = MAP [ ('A', TAccesseurA), ('B', TAccesseurB), ('C', TAccesseurC), ] Code = """ import math result = (A.Value + B.Value) / math.log(C.Value) """ </ndf>
You can use thoses NDF Accessors in the same way
- TAccesseurIntegerPython
- TAccesseurBooleanPython
- TAccesseurStringPython
- TAccesseurStringListPython
and TEffetDescriptor_EffetPythonInstantane if you want an effect.