Generic Programming with Extensible Data Types; Or, Making Ad Hoc Extensible Data Types Less Ad Hoc

We present a novel approach to generic programming over extensible data types. Row types capture the structure of records and variants, and can be used to express record and variant subtyping, record extension, and modular composition of case branches. We extend row typing to capture generic programming over rows themselves, capturing patterns including lifting operations to records and variations from their component types, and the duality between cases blocks over variants and records of labeled functions, without placing specific requirements on the fields or constructors present in the records and variants. We formalize our approach in System R{\omega}, an extension of F{\omega} with row types, and give a denotational semantics for (stratified) R{\omega} in Agda.Comment: To appear at: International Conference on Functional Programming 2023 Corrected citations from previous versio

A type- and scope-safe universe of syntaxes with binding: their semantics and proofs

Almost every programming language's syntax includes a notion of binder and corresponding bound occurrences, along with the accompanying notions of alpha-equivalence, capture-avoiding substitution, typing contexts, runtime environments, and so on. In the past, implementing and reasoning about programming languages required careful handling to maintain the correct behaviour of bound variables. Modern programming languages include features that enable constraints like scope safety to be expressed in types. Nevertheless, the programmer is still forced to write the same boilerplate over again for each new implementation of a scope safe operation (e.g., renaming, substitution, desugaring, printing, etc.), and then again for correctness proofs. We present an expressive universe of syntaxes with binding and demonstrate how to (1) implement scope safe traversals once and for all by generic programming; and (2) how to derive properties of these traversals by generic proving. Our universe description, generic traversals and proofs, and our examples have all been formalised in Agda and are available in the accompanying material available online at https://github.com/gallais/generic-syntax

Wiring Circuits Is Easy as {0,1,ω}, or Is It...

Quantitative Type-Systems support fine-grained reasoning about term usage in our programming languages. Hardware Design Languages are another style of language in which quantitative typing would be beneficial. When wiring components together we must ensure that there are no unused ports, dangling wires, or accidental fan-ins and fan-outs. Although many wire usage checks are detectable using static analysis tools, such as Verilator, quantitative typing supports making these extrinsic checks an intrinsic aspect of the type-system. With quantitative typing of bound terms, we can provide design-time checks that all wires and ports have been used, and ensure that all wiring decisions are explicitly made, and are neither implicit nor accidental. We showcase the use of quantitative types in hardware design languages by detailing how we can retrofit quantitative types onto SystemVerilog netlists, and the impact that such a quantitative type-system has when creating designs. Netlists are gate-level descriptions of hardware that are produced as the result of synthesis, and it is from these netlists that hardware is generated (fabless or fabbed). First, we present a simple structural type-system for a featherweight version of SystemVerilog netlists that demonstrates how we can type netlists using standard structural techniques, and what it means for netlists to be type-safe but still lead to ill-wired designs. We then detail how to retrofit the language with quantitative types, make the type-system sub-structural, and detail how our new type-safety result ensures that wires and ports are used once. Our ideas have been proven both practically and formally by realising our work in Idris2, through which we can construct a verified language implementation that can type-check existing designs. From this work we can look to promote quantitative typing back up the synthesis chain to a more comprehensive hardware description language; and to help develop new and better hardware description languages with quantitative typing

Verified programming with explicit coercions

Type systems have proved to be a powerful means of specifying and proving important program invariants. In dependently typed programming languages types can depend on values and hence express arbitrarily complicated propositions and their machine checkable proofs. The type-based approach to program specification allows for the programmer to not only transcribe their intentions, but arranges for their direct involvement in the proving process, thus aiding the machine in its attempt to satisfy difficult obligations. In this thesis we develop a series of patterns for programming in a correct-by-construction style making use of constraints and coercions to prove properties within a dependently typed host. This allows for the development of a verified, kernel which can be built upon using the host system features. In particular this should allow for the development of “tactics” or semiautomated solvers invoked when coercing types all within a single language. The efficacy of this approach is given by the development of a system of expressions indexed by their, exposing a case analysis feature serving to generate value constraints. These constraints are directly reflected into the host allowing for their involvement in the type-checking process. A motivating use case of this design shows how a term’s semantic index information admits an exact, formalized cost analysis amenable to reasoning within the host. Finally we show how such a system is used to identify unreachable dead-code, trivially admitting the design and verification of an SSA style compiler with this optimization. We think such a design of explicitly proving the local correctness of type-transformations in the presence of accumulated constraints can form the basis of a flexible language in concert with a variety of trusted solver

On Induction, Coinduction and Equality in Martin-L\uf6f and Homotopy Type Theory

Martin L\uf6f Type Theory, having put computation at the center of logicalreasoning, has been shown to be an effective foundation for proof assistants,with applications both in computer science and constructive mathematics. Oneambition though is for MLTT to also double as a practical general purposeprogramming language. Datatypes in type theory come with an induction orcoinduction principle which gives a precise and concise specification of theirinterface. However, such principles can interfere with how we would like toexpress our programs. In this thesis, we investigate more flexible alternativesto direct uses of the (co)induction principles.As a first contribution, we consider the n-truncation of a type in Homo-topy Type Theory. We derive in HoTT an eliminator into (n+1)-truncatedtypes instead of n-truncated ones, assuming extra conditions on the underlyingfunction.As a second contribution, we improve on type-based criteria for terminationand productivity. By augmenting the types with well-foundedness information,such criteria allow function definitions in a style closer to general recursion.We consider two criteria: guarded types, and sized types.Guarded types introduce a modality ”later” to guard the availability ofrecursive calls provided by a general fixed-point combinator. In Guarded Cu-bical Type Theory we equip the fixed-point combinator with a propositionalequality to its one-step unfolding, instead of a definitional equality that wouldbreak normalization. The notion of path from Cubical Type Theory allows usto do so without losing canonicity or decidability of conversion.Sized types, on the other hand, explicitly index datatypes with size boundson the height or depth of their elements. The sizes however can get in theway of the reasoning principles we expect. Our approach is to introduce newquantifiers for ”irrelevant” size quantification. We present a type theory withparametric quantifiers where irrelevance arises as a “free theorem”. We alsodevelop a conversion checking algorithm for a more specific theory where thenew quantifiers are restricted to sizes.Finally, our third contribution is about the operational semantics of typetheory. For the extensions above we would like to devise a practical conversionchecking algorithm suitable for integration into a proof assistant. We formal-ized the correctness of such an algorithm for a small but challenging corecalculus, proving that conversion is decidable. We expect this development toform a good basis to verify more complex theories.The ideas discussed in this thesis are already influencing the developmentof Agda, a proof assistant based on type theory