Map-Closure Mechanism for Modular Nonstandard Interpretation

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Solution Overview

Problem

Current systems for nonstandard interpretation in computer programming lack modularity and efficiency, particularly in supporting tasks like tracing, security logging, and code instrumentation, and face challenges in confining interpretations to limited contexts and avoiding global resource manipulation.

Innovation Solution

The introduction of the map-closure construct allows for modular run-time nonstandard interpretation by enabling examination and modification of closure environments, combining with call/cc to implement set! as a procedure definition and local macro transformation, thereby supporting tasks like tracing, security logging, and code instrumentation without global resource modification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional nonstandard interpretation systems are used, then tasks like tracing and code instrumentation can be performed, but the systems lack modularity and require global resource manipulation

Engineering Contradiction:
Improvenonstandard interpretation capabilityVSAvoidsystem modularity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces closure environments as intermediary structures that mediate between the program code and the interpretation mechanism. Instead of directly manipulating global resources, the system uses closure environments to capture and manage the state needed for nonstandard interpretation, providing a localized and modular interface that eliminates the need for global state manipulation while maintaining adaptability for tracing, logging, and instrumentation tasks

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If traditional nonstandard interpretation systems are used, then interpretation can be performed, but the systems lack efficiency and require global resource manipulation

Engineering Contradiction:
Improveinterpretation capabilityVSAvoidexecution efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent segments the interpretation system into localized closure environments that are self-contained and independent. Each closure environment captures only the necessary bindings and state for its specific interpretation task, eliminating the overhead of global resource manipulation. This segmentation allows multiple nonstandard interpretations to execute in parallel without interfering with each other, significantly improving execution efficiency while maintaining full interpretation capability

Inventive Principle:
Principle #1Segmentation

3Adaptability or versatility

If global resource manipulation is used for nonstandard interpretation, then interpretation can be performed, but lexical hygiene is compromised

Engineering Contradiction:
Improveinterpretation flexibilityVSAvoidlexical hygiene
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent applies local quality by creating localized closure environments that have their own scoped bindings and state, rather than using global resources. Each closure environment is tailored to its specific interpretation task with exactly the bindings it needs, maintaining lexical hygiene by preventing unauthorized access to unrelated bindings. This localizes the interpretation flexibility to specific scopes while preserving the overall lexical structure and preventing pollution of the global environment

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS8281299B2Map-closure: a general purpose mechanism for nonstandard interpretation
Publication Date: 2012.10.02 NAT UNIV OF IRELAND MAYNOOTH
  • US8281299B2 patent drawing
  • US8281299B2 patent drawing
  • US8281299B2 patent drawing

AI summary

The disclosed system provides a functional programming construct that allows convenient modular run-time nonstandard interpretation via reflection on closure environments. This construct encompasses both the ability to examine the contents of a closure environment and to construct a new closure with a modified environment. Examples of this powerful and useful construct support such tasks as tracing, security logging, sandboxing, error checking, profiling, code instrumentation and metering, run-time code patching, and resource monitoring. It is a non-referentially-transparent mechanism that reifies the closure environments that are only implicit in higher-order programs. A further example provides a novel functional-programming language that supports forward automatic differentiation (AD).