A Typed, Algebraic Approach to Parsing

A Typed, Algebraic Approach to Parsing

A Typed, Algebraic Approach to Parsing Neelakantan R. Krishnaswami Jeremy Yallop University of Cambridge University of Cambridge United Kingdom United Kingdom [email protected] [email protected] Abstract the subject have remained remarkably stable: context-free In this paper, we recall the definition of the context-free ex- languages are specified in BackusśNaur form, and parsers pressions (or µ-regular expressions), an algebraic presenta- for these specifications are implemented using algorithms tion of the context-free languages. Then, we define a core derived from automata theory. This integration of theory and type system for the context-free expressions which gives a practice has yielded many benefits: we have linear-time algo- compositional criterion for identifying those context-free ex- rithms for parsing unambiguous grammars efficiently [Knuth pressions which can be parsed unambiguously by predictive 1965; Lewis and Stearns 1968] and with excellent error re- algorithms in the style of recursive descent or LL(1). porting for bad input strings [Jeffery 2003]. Next, we show how these typed grammar expressions can However, in languages with good support for higher-order be used to derive a parser combinator library which both functions (such as ML, Haskell, and Scala) it is very popular guarantees linear-time parsing with no backtracking and to use parser combinators [Hutton 1992] instead. These li- single-token lookahead, and which respects the natural de- braries typically build backtracking recursive descent parsers notational semantics of context-free expressions. Finally, we by composing higher-order functions. This allows building show how to exploit the type information to write a staged up parsers with the ordinary abstraction features of the version of this library, which produces dramatic increases programming language (variables, data structures and func- in performance, even outperforming code generated by the tions), which is sufficiently beneficial that these libraries are standard parser generator tool ocamlyacc. popular in spite of the lack of a clear declarative reading of the accepted language and bad worst-case performance CCS Concepts · Theory of computation → Grammars (often exponential in the length of the input). and context-free languages; Type theory. Naturally, we want to have our cake and eat it too: we Keywords parsing, context-free languages, type theory, want to combine the benefits of parser generators (efficiency Kleene algebra and a clear declarative reading) with the benefits of parser combinators (ease of building high-level abstractions). The ACM Reference Format: two main difficulties are that the binding structure of BNF(a Neelakantan R. Krishnaswami and Jeremy Yallop. 2019. A Typed, collection of globally-visible, mutually-recursive nontermi- Algebraic Approach to Parsing. In Proceedings of the 40th ACM nals) is at odds with the structure of programming languages SIGPLAN Conference on Programming Language Design and Imple- (variables are lexically scoped), and that generating efficient mentation (PLDI ’19), June 22ś26, 2019, Phoenix, AZ, USA. ACM, New York, NY, USA, 15 pages. https://doi.org/10.1145/3314221.3314625 parsers requires static analysis of the input grammar. This paper begins by recalling the old observation that the 1 Introduction context-free languages can be understood as the extension of regular expressions with variables and a least-fixed point The theory of parsing is one of the oldest and most well- operator (aka the łµ-regular expressionsž [Leiß 1991]). These developed areas in computer science: the bibliography to features replace the concept of nonterminal from BNF, and Grune and Jacobs’s Parsing Techniques: A Practical Guide so facilitate embedding context-free grammars into program- lists over 1700 references! Nevertheless, the foundations of ming languages. Our contributions are then: Permission to make digital or hard copies of all or part of this work for • First, we extend the framework of µ-regular expres- personal or classroom use is granted without fee provided that copies sions by giving them a semantic notion of type, build- are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights ing on Brüggemann-Klein and Wood’s characteriza- for components of this work owned by others than the author(s) must tion of unambiguous regular expressions [1992]. We be honored. Abstracting with credit is permitted. To copy otherwise, or then use this notion of type as the basis for a syntactic republish, to post on servers or to redistribute to lists, requires prior specific type system which checks whether a context-free ex- permission and/or a fee. Request permissions from [email protected]. pression is suitable for predictive (or recursive descent) PLDI ’19, June 22ś26, 2019, Phoenix, AZ, USA parsingÐi.e., we give a type system for left-factored, © 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. non-left-recursive, unambiguous grammars. We prove ACM ISBN 978-1-4503-6712-7/19/06...$15.00 that this type system is well-behaved (i.e., syntactic https://doi.org/10.1145/3314221.3314625 substitution preserves types, and sound with respect 379 PLDI ’19, June 22ś26, 2019, Phoenix, AZ, USA Neelakantan R. Krishnaswami and Jeremy Yallop to the denotational semantics), and that all well-typed Here eps is a parser matching the empty string; chr c is a grammars are unambiguous. parser matching the single character c1; and seq l r is a • Next, we describe a parser combinator library for OCaml parser that parses strings with a prefix parsed by l and a based upon this type system. This library exposes basi- suffix parsed by r. The value bot is a parser that never suc- cally the standard applicative-style API with a higher- ceeds, and alt l r is a parser that parses strings parsed either order fixed point operator but internally it builds a by l or by r. Finally we have a fixed point operator fix for first-order representation of well-typed, binding-safe constructing recursive grammars2. The API is also functorial: grammars. Having a first-order representation avail- the expression map f p applies a user-supplied function f to able lets us reject untypeable grammars. the result of the parser p. When a parser function is built from this AST, the This API is basically the same as the one introduced by resulting parsers have extremely predictable perfor- Swierstra and Duponcheel [1996], with the main difference mance: they are guaranteed to be linear-time and non- that our API is in the łmonoidalž style (we give sequencing backtracking, using a single token of lookahead. In the type seq : 'a t -> 'b t -> ('a * 'b) t), while theirs is in addition, our API has no purely-operational features the łapplicativež style (i.e., seq :('a -> 'b) t -> 'a t -> 'b t). to block backtracking, so the simple reading of disjunc- However, as McBride and Paterson [2008] observe, the two tion as union of languages and sequential composition styles are equivalent. as concatenation of languages remains valid (unlike in These combinators build an abstract grammar, which can other formalisms like packrat parsers). However, while be converted into an actual parser (i.e., a function from the performance is predictable, it remains worse than streams to values, raising an exception on strings not in the performance of code generated by conventional the grammar) using the parser function. parser generators such as ocamlyacc. exception TypeError of string • Finally, we build a staged version of this library using val parser : 'a t -> (char Stream.t -> 'a) MetaOCaml. Staging lets us entirely eliminate the ab- Critically, however, the parser function does not succeed on straction overhead of parser combinator libraries. The all abstract grammars: instead, it will raise a TypeError ex- grammar type system proves beneficial, as the types ception if the grammar is ill-formed (i.e., ambiguous or left- give very useful information in guiding the generation recursive). As a result, parser is able to provide a stronger of staged code (indeed, the output of staging looks guarantee when it does succeed: if it returns a parsing func- very much like handwritten recursive descent parser tion, that function is guaranteed to parse in linear time with code). Our resulting parsers are very fast, typically single-token lookahead. outperforming even ocamlyacc. Table-driven parsers can be viewed as interpreters for a state machine, and 2.2 Examples staging lets us eliminate this interpretive overhead! General Utilities One benefit of combinator parsing is that it permits programmers to build up a library of abstrac- tions over the basic parsing primitives. Before showing how 2 API Overview and Examples this works, we will define a few utility functions and oper- Before getting into the technical details, we show the user- ators to make the examples more readable. The expression level API in our OCaml implementation, and give both ex- always x is a constant function that always returns x: amples and non-examples of its use. let always x = fun _ -> x We define (++) as an infix version of the seq function, and 2.1 The High Level Interface (==>) as an infix map operator to resemble semantic actions in traditional parser generators: From a user perspective, we offer a very conventional com- let (++) = seq binator parsing API. We have an abstract type 'a t repre- let (==>) p f = map f p senting parsers which read a stream of tokens and produce We also define any, an n-ary version of the binary alternative a value of type 'a. Elements of this abstract type can be con- alt, using a list fold: structed with the following set of constants and functions: val any : 'a t list -> 'a list t let any gs = List.fold_left alt bot gs type 'a t val eps : unit t The parser option r parses either the empty string or alter- val chr : char -> char t natively anything that r parses: val seq : 'a t -> 'b t -> ('a * 'b) t val bot : 'a t 1The API in this paper is slightly simplified, as our real implementation is val alt : 'a t -> 'a t -> 'a t parameterized over token types, rather than baking in the char type.

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