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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However, this will result in an infinitely looping recursion in the presence of a cyclic class hierarchy. From Wikipedia, the free encyclopedia. Baker 3 Estimated H-index: Please help us clarify the article.
C3 superclass linearization — Open Dylan
Linearization Closed-world assumption Computer science Monotonic function Object-oriented programming Clos network Mathematical optimization Merge version control Multiple inheritance. Object-oriented programming with flavors. Ref Source Add To Collection.
Retrieved from ” https: Retrieved August 14, Proposal for a monotonic multiple inheritance linearization. Combined with Dylan’s sealing mechanism, a monotonic linearization enables some compile-time method selection that would otherwise be impossible in the absence of a closed-world assumption. 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 of the lists.
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The Dylan linearization is monotonic, easily described, strictly observes local precedence order, and produces the same ordering lihearization CLOS when that is monotonic. The C3 linearization has been around for a long supercass, does not break any existing code, and is commonly agreed upon as being the right thing to do in mailing list discussions.
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 C3 superclass linearization algorithm is more intuitive and allows for greater optimization.
The Dylan linearization is monotonic, easily described, strictly observes local precedence order, and produces the same ordering as CLOS when that is monotonic.
A monotonic superclass linearization for Dylan. Tucker Withington in a paper html version. The Dylan superclass linearization is sometimes counter-intuitive. Recent work has defined several desirable characteristics for linearizations, the most important being monotonicity, which prohibits inherited properties from skipping over direct superclasses.
The latter does not alter behaviour post. 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.
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Moon, Keith Playford, and P. Roland Ducournau 4 Estimated H-index: The Art of the Metaobject Protocol. Object-oriented programming Programming language implementation. The name “C3” is not an initialism.
In order to allow for more optimizations, especially compression of dispatch superclase, which requires monotonicity of method orderings, a consistent superclass linearization algorithm is needed.
April Learn how and when to remove this template message. 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.
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 History of Python. Steele 1 Estimated H-index: Smyth 2 Estimated H-index: Look-based selection for rendering a computer-generated animation.
Views Read Edit View history. After the C3 linearization was proposed init was lineafization adapted in Python 2.
A Monotonic Superclass Linearization for Dylan
Smyth 1 Superclsss H-index: The pull request was finally merged into master. The art of metaobject protocol. Robert Giles Wilson 1 Estimated H-index: Moon, Keith Playford, P. We present an implementation based on merging and a survey of class heterarchies from several large programs, analyzing where commonly used linearizations differ. Gregor Kiczales 39 Estimated H-index: Cited Source Add To Collection.
Recent work dylaan defined several desirable characteristics for linearizations, the most important being monotonicity, which prohibits inherited properties from skipping over direct superclasses. Wikipedia articles needing clarification from April All Wikipedia articles needing clarification.