A MONOTONIC SUPERCLASS LINEARIZATION FOR DYLAN PDF

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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A Monotonic Superclass Linearization for Dylan

Ref Source Add To Collection. Gregor Kiczales 39 Estimated H-index: Views Read Edit View history. Please help us clarify the article. Bertrand Meyer 38 Estimated H-index: The C3 superclass superlass 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. Wikipedia articles needing clarification from April All Wikipedia articles needing clarification.

C3 linearization

Steele 1 Estimated H-index: The selected element is removed from superclasz the lists where it appears as a head and appended to the output list. Robert Giles Wilson 1 Estimated H-index: The Dylan linearization is monotonic, easily described, strictly observes local precedence order, and produces the same ordering as CLOS when that is monotonic.

Object-oriented programming Programming language implementation. To detect such a cycle and to break the infinite recursion and to reuse the results of previous computations as an optimizationthe recursive invocation should be shielded against re-entrance of a previous argument by means of a cache or memoization. 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.

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This page was last edited on supercass Aprilat However, this will result in an infinitely looping recursion in the presence of a cyclic class hierarchy. Preserving and reusing intermediate data. Smyth 2 Estimated H-index: Recent work has defined several desirable characteristics for linearizations, the most important being monotonicity, which prohibits inherited properties from skipping over direct superclasses. The History of Python.

Tucker Withington in a paper html version.

From Wikipedia, the free encyclopedia. We present an implementation based on merging and a survey of class heterarchies from several large programs, analyzing where commonly used linearizations differ.

The merge of parents’ linearizations and parents list is done by selecting the first head of the lists which does not appear in the tail all elements of a list except the first of any superclasss the lists. The Art of the Metaobject Protocol.

C3 superclass linearization — Open Dylan

View in Source Cite this paper. The Dylan superclass linearization is sometimes counter-intuitive. Level-based data sharing for digital content production. This article may be confusing or unclear to readers. Cited Source Add To Collection.

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Monotonic conflict resolution mechanisms for inheritance. 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.

The name “C3” is not an initialism. The C3 linearization has been around for a long time, does not break any existing code, and is commonly agreed upon as being the right thing to do in mailing list discussions. Retrieved 18 January Roland Ducournau 4 Estimated H-index: In the first release a serious warning will be issued for superclass linearization which changed, in subsequent releases a warning should be issued depending on a strict compatibility to DRM switch.

Moon, Keith Playford, P. A monotonic superclass linearization for Dylan. Proposal for a monotonic multiple inheritance linearization. Look-based selection for rendering a computer-generated animation. Moon, Keith Playford, and P.

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.