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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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. Linearization Closed-world assumption Computer science Monotonic function Object-oriented programming Clos network Mathematical optimization Merge version control Multiple inheritance.
The selected element is removed from all the lists where it appears as a head and appended to the output list.
Unfortunately the algorithm presented in the Dylan Reference Manual computing the class precedence list is not consistent with the extended precedence graph, and may lead to counter-intuitive linearizations. Please help us clarify the article. After the C3 linearization was proposed init was subsequently adapted in Python 2.
An information-driven architecture for cognitive systems research. In order to allow for more optimizations, especially compression of dispatch tables, which requires linearizaation of method orderings, a consistent superclass linearization algorithm is needed.
Views Supercoass Edit View history. The name C3 refers to the three important properties of the resulting linearization: Advanced Search Include Citations.
Recent work has defined several desirable characteristics for linearizations, the most important being monotonicity, which prohibits inherited properties from skipping over direct superclasses. This page was last edited on 28 Aprilat There might be a discussion about this on the talk page.
The latter does not alter behaviour post. Preserving and reusing intermediate data.
CiteSeerX — A Monotonic Superclass Linearization for Dylan
It is also available as an alternative, non-default MRO in the core of Perl 5 starting with version 5. Roland Ducournau 9 Estimated H-index: The art of metaobject protocol.
We present an implementation based on merging and a survey of class ror from several large programs, analyzing where commonly used linearizations differ. Look-based selection for rendering a computer-generated animation. However, this will result in an infinitely looping recursion in the presence of a cyclic class hierarchy. From Wikipedia, the free encyclopedia.
The process of selecting and removing a good head to extend the output list is repeated until all remaining lists are exhausted.
Smyth 1 Estimated H-index: Retrieved from ” https: The C3 superclass linearization of a class is the sum of the linearizatiob plus a unique merge of the linearizations of its parents and a list of the parents itself. The Dylan linearization is monotonic, easily described, strictly observes local precedence order, and produces the same ordering as CLOS when that is monotonic.
C3 exists on CPAN. Moon, Keith Playford, P. April Learn how and when to remove this template message. View in Source Cite this paper. Bertrand Meyer 38 Estimated H-index: Robert Giles Wilson 1 Estimated H-index: The Dylan superclass linearization is sometimes counter-intuitive.
A Monotonic Superclass Linearization for Dylan
Object-oriented programming Programming language implementation. Baker superclzss Estimated H-index: We present moontonic implementation based on merging and a survey of class heterarchies from several large programs, analyzing where commonly used linearizations differ. Moon, Keith Playford, and P. In computingthe C3 superclass linearization is an algorithm used primarily to obtain the order in which methods should be inherited the “linearization” in the presence of multiple inheritanceand is often termed Method Resolution Order MRO.