Exemple #1
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def updateWithResult(keyStr, symObjKeys, res):
    computationType = generic_cas_computations.getComputationType(keyStr)
    if computationType == generic_cas_computations.compTypeEnum.newObject:
        symbolic_object_list.addObjectWithLinks(res, keyStr, symObjKeys)
    elif computationType == generic_cas_computations.compTypeEnum.newProperty:
        res.addInRelation(keyStr, symObjKeys)
        symbolic_object_list.addObject(res)
        for sObj in symObjKeys:
            symbolic_object_list.getObj(sObj).addProperty(keyStr, symObjKeys+[res.getKeyID()], res)
    else:
        error_reporter.reportProgramError("compute.py:updateWithResult :- Invalid type of computation. It is neither a newProperty nor a newObject.")

#x = sympy.Symbol('x')
#print compute('S-break into partial fractions', [sympy.sin(x)**2 + sympy.cos(x)**2 + 2*sympy.sin(x)*sympy.cos(x)])
Exemple #2
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def compute(keyStr, symObjKeys):
    '''Calls computeResult and handles the result by appropriately creating a new object or property

        @param keyStr - the key string identifying the computation (operation)
        @param symObjKeys - the keys of the object on which to apply the computation
        @note all computations are done over a copy of the original object, not the object itself, so that multiple computations can run in parallel without a clash'''
    symObjs = map(lambda x:copy.deepcopy(symbolic_object_list.getObj(x)), symObjKeys)
    res = computeResult(keyStr, symObjs)

    updateWithResult(keyStr, symObjKeys, res)
    return res