Scryer Prolog

Scryer Prolog aims to become to ISO Prolog what GHC is to Haskell: an open source industrial strength production environment that is also a testbed for bleeding edge research in logic and constraint programming, which is itself written in a high-level language.

Scryer Logo: Cryer

Phase 1

Produce an implementation of the Warren Abstract Machine in Rust, done according to the progression of languages in Warren's Abstract Machine: A Tutorial Reconstruction.

Phase 1 has been completed in that Scryer Prolog implements in some form all of the WAM book, including lists, cuts, Debray allocation, first argument indexing, last call optimization and conjunctive queries.

Phase 2

Extend Scryer Prolog to include the following, among other features:

Phase 3

Use the WAM code produced by the completed code generator to get JIT-compiled and -executed Prolog programs. The question of how to get assembly from WAM code is something I'm still considering.

It's my hope to use Scryer Prolog as the logic engine of a low level (and ideally, very fast) Shen implementation.

Nice to have features

There are no current plans to implement any of these, but they might be nice to have in the future. They'd make a good project for anyone wanting to contribute code to Scryer Prolog.

  1. Implement the global analysis techniques described in Peter van Roy's thesis, "Can Logic Programming Execute as Fast as Imperative Programming?"

  2. Add unum representation and arithmetic, using either an existing unum implementation or an ad hoc one. Unums are described in Gustafson's book "The End of Error."

  3. Add concurrent tables to manage shared references to atoms and strings.

  4. Add some form of JIT predicate indexing.

Installing Scryer Prolog

Native Install (Unix Only)

First, install the latest stable version of Rust using your preferred method. Scryer tends to use features from newer Rust releases, whereas Rust packages in Linux distributions, Macports, etc. tend to lag behind. rustup will keep your Rust updated to the latest stable release; any existing Rust distribution should be uninstalled from your system before rustup is used.

Scryer Prolog can be installed with cargo, like so:

$> cargo install scryer-prolog

cargo will download and install the libraries Scryer Prolog uses automatically from crates.io. You can find the scryer-prolog executable in ~/.cargo/bin.

Publishing Rust crates to crates.io and pushing to git are entirely distinct, independent processes, so to be sure you have the latest commit, it is recommended to clone directly from this git repository, which can be done as follows:

$> git clone https://github.com/mthom/scryer-prolog $> cd scryer-prolog $> cargo run [--release]

The optional --release flag will perform various optimizations, producing a faster executable.

Docker Install (All Platforms)

First, install Docker on Linux, Windows, or Mac.

Once Docker is installed, you can download and run Scryer Prolog with a single command: $> docker run -it mjt128/scryer-prolog

To consult your Prolog files, bind mount your programs folder as a Docker volume:

$> docker run -v /home/user/prolog:/mnt -it mjt128/scryer-prolog ?- consult('/mnt/program.pl'). true.

This works on Windows too:

$> docker run -v C:\Users\user\Documents\prolog:/mnt -it mjt128/scryer-prolog ?- consult('/mnt/program.pl'). true.

Tutorial

Prolog files are loaded by specifying them as arguments on the command line. For example, to load program.pl, use:

$> scryer-prolog program.pl

Loading a Prolog file is also called “consulting” it. The built-in predicate consult/1 can be used to consult a file from within Prolog:

?- consult('program.pl').

As an abbreviation for consult/1, you can specify a list of program files, given as atoms:

?- ['program.pl'].

The special notation [user] is used to read Prolog text from standard input. For example,

?- [user]. hello(declarative_world). hello(pure_world).

Pressing RETURN followed by Ctrl-d stops reading from standard input and consults the entered Prolog text.

After a program is consulted, you can ask queries about the predicates it defines. For example, with the program shown above:

?- hello(What). What = declarative_world ; What = pure_world.

Press SPACE to show further answers, if any exist. Press RETURN or  . to abort the search and return to the toplevel prompt. Press h to show a help message.

To quit Scryer Prolog, use the standard predicate halt/0:

?- halt.

Dynamic operators

Scryer supports dynamic operators. Using the built-in arithmetic operators with the usual precedences,

?- write_canonical(-5 + 3 - (2 * 4) // 8), nl. -(+(-5,3),//(*(2,4),8)) true.

New operators can be defined using the op declaration.

Strings and partial strings

In Scryer Prolog, the default value of the Prolog flag double_quotes is chars, which is also the recommended setting. This means that double-quoted strings are interpreted as lists of characters, in the tradition of Marseille Prolog.

For example, the following query succeeds:

?- "abc" = [a,b,c]. true.

Internally, strings are represented very compactly in packed UTF-8 encoding. A naive representation of strings as lists of characters would use one memory cell per character, one memory cell per list constructor, and one memory cell for each tail that occurs in the list. Since one memory cell takes 8 bytes on 64-bit machines, the packed representation used by Scryer Prolog yields an up to 24-fold reduction of memory usage, and corresponding reduction of memory accesses when creating and processing strings.

Scryer Prolog uses the same efficient encoding for partial strings, which appear to Prolog code as partial lists of characters. The predicate partial_string/3 from library(iso_ext) lets you construct partial strings explicitly. For example:

?- partial_string("abc", Ls0, Ls). Ls0 = [a,b,c|Ls].

In this case, and as the answer illustrates, Ls0 is indistinguishable from a partial list with tail Ls, while the efficient packed representation is used internally.

An important design goal of Scryer Prolog is to automatically use the efficient string representation whenever possible. Therefore, it is only very rarely necessary to use partial_string/3 explicitly. In the above example, posting Ls0 = [a,b,c|Ls] yields the exact same internal representation, and has the advantage that only the standard predicate (=)/2 is used.

Definite clause grammars as provided by library(dcgs) are ideally suited for reasoning about strings.

Tabling (SLG resolution)

One of the foremost attractions of Prolog is that logical consequences of pure programs can be derived by various execution strategies that differ regarding essential properties such as termination, completeness and efficiency.

The default execution strategy of Prolog is depth-first search with chronological backtracking. This strategy is very efficient. Its main drawback is that it is incomplete: It may fail to find any solution even if one exists.

Scryer Prolog supports an alternative execution strategy which is called tabling and also known as tabled execution and SLG resolution. To enable tabled execution for a predicate, use library(tabling) and add a (table)/1 directive for the desired predicate indicator. For example, if we write:

``` :- use_module(library(tabling)). :- table a/0.

a :- a. ```

Then the query ?- a. terminates (and fails), whereas it does not terminate with the default execution strategy.

Scryer Prolog implements tabling via delimited continuations as described in Tabling as a Library with Delimited Control by Desouter et. al.

Constraint Logic Programming (CLP)

Scryer Prolog provides excellent support for Constraint Logic Programming (CLP), which is the amalgamation of Logic Programming (LP) and Constraints.

In addition to built-in support for dif/2, freeze/2, CLP(B) and CLP(ℤ), Scryer provides a convenient way to implement new user-defined constraints: Attributed variables are available via library(atts) as in SICStus Prolog, which is one of the most sophisticated and fastest constraint systems in existence. In library(iso_ext), Scryer provides predicates for backtrackable (bb_b_put/2) and non-backtrackable (bb_put/2) global variables, which are needed to implement certain types of constraint solvers.

These features make Scryer Prolog an ideal platform for teaching, learning and developing portable CLP applications.

Modules

Scryer has a simple predicate-based module system. It provides a way to separate units of code into distinct namespaces, for both predicates and operators. See the files src/prolog/lib/*.pl for examples.

At the time of this writing, many predicates reside in their own modules that need to be imported before they can be used. The modules that ship with Scryer Prolog are also called library modules or libraries, and include:

To read contents of external files, use phrase_from_file/2 from library(pio) to apply a DCG to file contents. The predicates in library(charsio) are also useful for parsing.

To use predicates provided by the lists library, write:

?- use_module(library(lists)).

To load modules contained in files, the library functor can be omitted, prompting Scryer to search for the file (specified as an atom) from its working directory:

?- use_module('file.pl').

use_module directives can be qualified by adding a list of imports:

?- use_module(library(lists), [member/2]).

A qualified use_module can be used to remove imports from the toplevel by calling it with an empty import list.

The (:)/2 operator resolves calls to predicates that might not be imported to the current working namespace:

?- lists:member(X, Xs).

The [user] prompt can also be used to define modules inline at the REPL:

``` ?- [user]. :- module(test, [localmember/2]). :- usemodule(library(lists)).

local_member(X, Xs) :- member(X, Xs). ```

The user listing can also be terminated by placing end_of_file. at the end of the stream.