/src/main/java/net/finmath/montecarlo/automaticdifferentiation/forward/RandomVariableDifferentiableAD.java
} typePriority = methodArgumentTypePriority;
typePriority = methodArgumentTypePriority; }
this(values, arguments, estimator, operator, typePriorityDefault); } public RandomVariableDifferentiableAD(final RandomVariable values, final List<RandomVariable> arguments, final ConditionalExpectationEstimator estimator, final OperatorType operator, final int methodArgumentTypePriority) { super(); this.values = values; operatorTreeNode = new OperatorTreeNode(operator, arguments, estimator); <extra_id_0> public OperatorTreeNode getOperatorTreeNode() { return operatorTreeNode; } @Override public RandomVariable getValues(){ return values;