A Monotonic Superclass Linearization for Dylan. Kim Barrett . Bob Cassels [email protected]>. Paul Haahr. In computing, the C3 superclass linearization is an algorithm used primarily to obtain the order It was first published at the OOPSLA conference, in a paper entitled “A Monotonic Superclass Linearization for Dylan”. It was adapted to the. The C3 superclass linearization algorithm is more intuitive and allows for greater monotonicity of method orderings, a consistent superclass linearization.
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Retrieved 18 January April Learn how and when to remove this template message. Ellis 1 Estimated H-index: From Wikipedia, the free encyclopedia. The Art of the Metaobject Protocol. The C3 superclass linearization of a class is the sum of the class plus a unique merge of the linearizations of its parents and a list of the parents itself.
Peter Mcnerney 2 Estimated H-index: Object-oriented programming with flavors. Moon, Keith Playford, and P. Roland Ducournau 4 Estimated H-index: Bertrand Meyer 38 Estimated H-index: There might be a discussion about this on the talk page. Smyth 2 Estimated H-index: To fix that, the C3 linearization was developed.
Baker 3 Estimated H-index: Monotonic conflict resolution mechanisms for inheritance. The name “C3” is not an initialism. A naive divide and conquer approach to computing the linearization of a class may invoke the algorithm recursively to find the linearizations of parent classes for the merge-subroutine.
We present an implementation based on merging and a survey of class heterarchies from several large programs, analyzing where commonly used linearizations differ. The Dylan superclass linearization is sometimes counter-intuitive. Object-oriented languages with multiple inheritance and automatic conflict resolution typically use a linearization of superclasses to determine which version of a property to inherit linearuzation several superclasses provide definitions.
The list of parents as the last argument to the merge process preserves the local precedence order of direct parent classes. Gregor Kiczales 39 Estimated H-index: Moon, Keith Playford, P. However, this will result in an infinitely looping recursion in the presence of a cyclic class hierarchy. Combined with Dylan’s sealing linearizstion, a monotonic linearization enables some compile-time method selection that would otherwise be impossible in the absence of a closed-world assumption.
Advanced Search Include Citations Disambiguate. A superclass linearization also known as a class precedence list is used for resolving conflicts among multiply-inherited superclasses which provide differing definitions of the superxlass method. Wikipedia articles needing clarification from April All Wikipedia articles needing clarification. The pull request was finally merged into master. Abstract Object-oriented languages with multiple inheritance and automatic conflict resolution typically use a linearization of superclasses to determine which version of a property to inherit when several superclasses provide definitions.
A Monotonic Superclass Linearization for Dylan – Semantic Scholar
fkr The latter does not alter behaviour post. This page was last edited on 28 Aprilat View in Source Cite this paper. We present an implementation based on merging and a survey of class heterarchies from several large programs, analyzing where commonly used linearizations differ. The process of selecting and removing a good head to extend the output list is repeated until all remaining lists are exhausted.
C3 exists on CPAN. Recent work has defined several desirable characteristics for linearizations, the most important being monotonicity, which prohibits inherited properties from skipping over direct superclasses.
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Note, that a good head may appear as the first element in multiple lists at the same time, but it is forbidden to appear anywhere mobotonic.
Moon 4 Estimated H-index: If at some point no good head can be selected, because the heads of all remaining lists appear in any one tail of the lists, then the merge is impossible to compute due to inconsistent orderings of dependencies in the inheritance hierarchy and no linearization of the original class exists.
In order to allow for more optimizations, especially compression of dispatch tables, which requires monotonicity of method orderings, a consistent superclass linearization algorithm is needed. The merge of parents’ linearizations and parents list is done by selecting the first superclqss of the lists which does not appear in the tail all elements of a list except the first of any of the lists.
An information-driven architecture for cognitive systems linearizxtion. The selected element is removed from all the lists where it appears as a head and appended to the output list.