Defining C Preprocessor Macro Libraries with Functional Programs

The preprocessor of the C language provides a standard way to generate code at compile time. However, writing and understanding these macros is difficult. Lack of typing, statelessness and uncommon syntax are the main reasons of this difficulty. Haskell is a high-level purely functional language with expressive type system, algebraic data types and many useful language extensions. These suggest that Haskell code can be written and maintained easier than preprocessor macros. Functional languages have certain similarities to macro languages. By using these similarities this paper describes a transformation that translates lambda expressions into preprocessor macros. Existing compilers for functional languages generate lambda expressions from the source code as an intermediate representation. As a result it is possible to write Haskell code that will be translated into preprocessor macros that manipulate source code. This may result in faster development and maintenance of complex macro metaprograms

Meta-F*: Proof Automation with SMT, Tactics, and Metaprograms

We introduce Meta-F*, a tactics and metaprogramming framework for the F* program verifier. The main novelty of Meta-F* is allowing the use of tactics and metaprogramming to discharge assertions not solvable by SMT, or to just simplify them into well-behaved SMT fragments. Plus, Meta-F* can be used to generate verified code automatically. Meta-F* is implemented as an F* effect, which, given the powerful effect system of F*, heavily increases code reuse and even enables the lightweight verification of metaprograms. Metaprograms can be either interpreted, or compiled to efficient native code that can be dynamically loaded into the F* type-checker and can interoperate with interpreted code. Evaluation on realistic case studies shows that Meta-F* provides substantial gains in proof development, efficiency, and robustness.Comment: Full version of ESOP'19 pape

Elaborator reflection : extending Idris in Idris

Many programming languages and proof assistants are defined by elaboration from a high-level language with a great deal of implicit information to a highly explicit core language. In many advanced languages, these elaboration facilities contain powerful tools for program construction, but these tools are rarely designed to be repurposed by users. We describe elaborator reflection, a paradigm for metaprogramming in which the elaboration machinery is made directly available to metaprograms, as well as a concrete realization of elaborator reflection in Idris, a functional language with full dependent types. We demonstrate the applicability of Idris’s reflected elaboration framework to a number of realistic problems, we discuss the motivation for the specific features of its design, and we explore the broader meaning of elaborator reflection as it can relate to other languages.Postprin

Static Computation and Reflection

Thesis (PhD) - Indiana University, Computer Sciences, 2008Most programming languages do not allow programs to inspect their static type information or perform computations on it. C++, however, lets programmers write template metaprograms, which enable programs to encode static information, perform compile-time computations, and make static decisions about run-time behavior. Many C++ libraries and applications use template metaprogramming to build specialized abstraction mechanisms, implement domain-specific safety checks, and improve run-time performance. Template metaprogramming is an emergent capability of the C++ type system, and the C++ language specification is informal and imprecise. As a result, template metaprogramming often involves heroic programming feats and often leads to code that is difficult to read and maintain. Furthermore, many template-based code generation and optimization techniques rely on particular compiler implementations, rather than language semantics, for performance gains. Motivated by the capabilities and techniques of C++ template metaprogramming, this thesis documents some common programming patterns, including static computation, type analysis, generative programming, and the encoding of domain-specific static checks. It also documents notable shortcomings to current practice, including limited support for reflection, semantic ambiguity, and other issues that arise from the pioneering nature of template metaprogramming. Finally, this thesis presents the design of a foundational programming language, motivated by the analysis of template metaprogramming, that allows programs to statically inspect type information, perform computations, and generate code. The language is specified as a core calculus and its capabilities are presented in an idealized setting

Doctor of Philosophy

dissertationI present the design of a parser that adds Scheme-style language extensibility to languages with implicitly delimited and infix syntax. A key element of my design is an enforestation parsing step, which converts a flat stream of tokens into an S-expression-like tree, in addition to the initial "read" phase of parsing and interleaved with the "macro-expand" phase. My parser uses standard lexical scoping rules to communicate syntactic extensions to the parser. In this way extensions naturally compose locally as well as through module boundaries. I argue that this style of communication is better suited towards a useful extension system than tools not directly integrated with the compiler. This dissertation explores the limits of this design in a new language called Honu. I use the extensiblity provided by Honu to develop useful language extensions such as LINQ and a parser generator. I also demonstrate the generality of the parsing techniques by applying them to Java and Python

Expressing functional reactive programming in C++

Abstract. Most C++ programs are written in a straight-forward imperative style. While e.g. callbacks are employed either directly or through the observer pattern, the mental overhead of keeping program state congruent is high and increases with program size. This paper presents a translation of functional reactive programming into C++ terms. This paradigm originates from the Haskell language community and seeks to express easily how programs should react to new input. Concretely, an implementation of a reactive property class is presented, where property in this context is a class holding a value of a user-specified type. The property class provides a mechanism to bind to it an expression that takes an arbitrary number of inputs, some of which can be other instances of property classes. When any of these dependent properties is updated the expression is re-evaluated, so that a dataflow graph may be built using this type. The automatic re-evaluation reduces the boilerplate code necessary to update variables, which can lead to fewer programming errors and more concise programs. The implementation demonstrates that the core principles of functional reactive programming can be expressed in modern C++. Further, the implementation can be done in an idiomatic manner which appears familiar to C++ developers. At the same time, the implementation’s complexity highlights how much further the C++ meta-programming facilities must be developed to properly support facilities such as a functional reactive programming library implementation. A number of compile-time template metaprogramming utilities used in the implementation are also introduced

Unification of Compile-Time and Runtime Metaprogramming in Scala

Metaprogramming is a technique that consists in writing programs that treat other programs as data. This paradigm of software development contributes to a multitude of approaches that improve programmer productivity, including code generation, program analysis and domain-specific languages. Many programming languages and runtime systems provide support for metaprogramming. Programming platforms often distinguish the notions of compile-time and runtime metaprogramming, depending on the phase of the program lifecycle when metaprograms execute. It is common for different lifecycle phases to be hosted in different environ- ments, so it is also common for different kinds of metaprogramming to provide different capabilities to metaprogrammers. In this dissertation, we present an exploration of the idea of unifying compile-time and runtime metaprogramming in Scala. We focus on the practical aspect of the exploration; most of the described designs are available as popular software products, and some of them have become part of the standard distribution of Scala. First, guided by the motivation to consolidate disparate metaprogramming techniques available in earlier versions of Scala, we introduce scala.reflect, a unified metaprogram- ming framework that uses a language model derived from the Scala compiler to run metaprograms both at compile time and at runtime. Secondly, armed by the newfound metaprogramming powers, we describe Scala macros, a language-integrated compile-time metaprogramming facility based on scala.reflect. Thanks to the comprehensive nature of scala.reflect, macros are able to work with both syntactic and semantic information about Scala programs, enabling a wide range of previously impractical or impossible use cases. Finally, based on our experience and user feedback, we identify key strengths and weaknesses of scala.reflect and macros. We propose scala.meta, a new unified metapro- gramming framework, and inline/meta, a new macro system based on scala.meta, that take the best from their predecessors and address the most important problems