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Programmable Semantic Fragments The Design and Implementation of typy 2016

Programmable Semantic Fragments The Design and Implementatio...

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15th ACM International Conference on Generative Programming - Concepts and Experiences (GPCE)

作者： Omar, Cyrus Aldrich, Jonathan Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781450344463

This paper introduces typy, a statically typed programming language embedded by reflection into Python. typy features a fragmentary semantics, i.e. it delegates semantic control over each term, drawn from Python's fixed concrete and abstract syntax, to some contextually relevant user-defined semantic fragment. The delegated fragment programmatically 1) typechecks the term (following a bidirectional protocol);and 2) assigns dynamic meaning to the term by computing a translation to Python. We argue that this design is expressive with examples of fragments that express the static and dynamic semantics of 1) functional records;2) labeled sums (with nested pattern matching a la ML);3) a variation on JavaScript's prototypal object system;and 4) typed foreign interfaces to Python and OpenCL. These semantic structures are, or would need to be, defined primitively in conventionally structured languages. We further argue that this design is compositionally well-behaved. It avoids the expression problem and the problems of grammar composition because the syntax is fixed. Moreover, programs are semantically stable under fragment composition (i.e. defining a new fragment will not change the meaning of existing program components.)

关键词： metaprogramming bidirectional typechecking pattern matching foreign function interfaces

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Automatic Generation of Library Bindings Using Static Analysis 09

Automatic Generation of Library Bindings Using Static Analys...

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ACM SIGPLAN Conference on Programming Language Design and Implementation

作者： Ravitch, Tristan Jackson, Steve Aderhold, Eric Liblit, Ben Univ Wisconsin Dept Comp Sci Madison WI 53706 USA

ISBN: (纸本)9781605583921

High-level languages are growing in popularity. However, decades of C software development have produced large libraries of fast, time-tested, meritorious code that are impractical to recreate from scratch. Cross-language bindings can expose low-level C code to high-level languages. Unfortunately, writing bindings by hand is tedious and error-prone, while mainstream binding generators require extensive manual annotation or fail to offer the language features that users of modem languages have come to expect. We present an improved binding-generation strategy based on static analysis of unannotated library source code. We characterize three high-level idioms that are not uniquely expressible in C's low-level type system: array parameters, resource managers, and multiple return values. We describe a suite of interprocedural analyses that recover this high-level information, and we show how the results can be used in a binding generator for the Python programming language. In experiments with four large C libraries, we find that our approach avoids the mistakes characteristic of hand-written bindings while offering a level of Python integration unmatched by prior automated approaches. Among the thousands of functions in the public interfaces of these libraries, roughly 40% exhibit the behaviors detected by our static analyses.

关键词： FFI foreign function interfaces bindings libraries dataflow analysis modular static program analysis multi-language code reuse

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Array Length Inference for C Library Bindings 16

Array Length Inference for C Library Bindings

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31st IEEE/ACM International Conference on Automated Software Engineering (ASE)

作者： Maas, Alisa J. Nazare, Henrique Liblit, Ben Univ Wisconsin Madison WI 53706 USA Univ Fed Minas Gerais Belo Horizonte MG Brazil

ISBN: (纸本)9781450338455

Simultaneous use of multiple programming languages (polyglot programming) assists in creating efficient, coherent, modern programs in the face of legacy code. However, manually creating bindings to low-level languages like C is tedious and error-prone. We offer relief in the form of an automated suite of analyses, designed to enhance the quality of automatically produced bindings. These analyses recover high-level array length information that is missing from C's type system. We emit annotations in the style of GObject-Introspection, which produces bindings from annotations on function signatures. We annotate each array argument as terminated by a special sentinel value, fixed-length, or of length determined by another argument. These properties help produce more idiomatic, efficient bindings. We correctly annotate at least 70% of all arrays with these length types, and our results are comparable to those produced by human annotators, but take far less time to produce.

关键词： FFI foreign function interfaces bindings libraries static analysis type inference

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