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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We present an implementation based on merging and a survey of class heterarchies from several large programs, analyzing where commonly used linearizations differ. Object-oriented programming Programming language implementation.
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.
Mark Stefik 32 Estimated H-index: Views Read Edit View history. Cited Source Add To Collection. Roland Ducournau 4 Estimated H-index: Look-based selection for rendering a computer-generated animation.
Recent work has defined several desirable characteristics for linearizations, the most important being monotonicity, which prohibits inherited properties from skipping over direct superclasses.
However, this will result in an infinitely looping recursion in the presence of a cyclic class hierarchy. Sebastian Wrede 15 Estimated H-index: It is also available as an alternative, non-default MRO in the core of Perl 5 starting with version 5.
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.
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.
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. The name “C3” is not an initialism. The art of metaobject protocol.
Moon, Keith Playford, P. Steele 1 Estimated H-index: Level-based data sharing for digital content production. Moon, Keith Playford, and P.
A Monotonic Superclass Linearization for Dylan
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 monotonix. Are you looking for 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.
View in Source Cite this paper. Moon 4 Estimated H-index: The C3 superclass linearization algorithm is more intuitive and allows for greater optimization. Retrieved August 14, Experiments show that there are some differences in existing code; we found so far three, two of them in duim-gadgets, one in winduim. The selected element is removed from all the lists where it appears as a head and appended to the output list.
Roland Ducournau 9 Estimated H-index: The process of selecting and removing a good head to extend the output list is repeated until all remaining lists are exhausted. Moon and Keith Playford and P. Advanced Search Include Citations Disambiguate. Ellis 1 Estimated H-index: This page was last edited on 28 Dhlanat April Learn how and when to remove this template message.