- Reference manual
- The SWI-Prolog library
- library(aggregate): Aggregation operators on backtrackable predicates
- library(ansi_term): Print decorated text to ANSI consoles
- library(apply): Apply predicates on a list
- library(assoc): Association lists
- library(broadcast): Broadcast and receive event notifications
- library(charsio): I/O on Lists of Character Codes
- library(check): Consistency checking
- library(clpb): CLP(B): Constraint Logic Programming over Boolean Variables
- library(clpfd): CLP(FD): Constraint Logic Programming over Finite Domains
- library(clpqr): Constraint Logic Programming over Rationals and Reals
- library(csv): Process CSV (Comma-Separated Values) data
- library(dcg/basics): Various general DCG utilities
- library(dcg/high_order): High order grammar operations
- library(debug): Print debug messages and test assertions
- library(dicts): Dict utilities
- library(error): Error generating support
- library(gensym): Generate unique identifiers
- library(intercept): Intercept and signal interface
- library(iostream): Utilities to deal with streams
- library(lists): List Manipulation
- library(main): Provide entry point for scripts
- library(nb_set): Non-backtrackable set
- library(www_browser): Activating your Web-browser
- library(occurs): Finding and counting sub-terms
- library(option): Option list processing
- library(optparse): command line parsing
- library(ordsets): Ordered set manipulation
- library(pairs): Operations on key-value lists
- library(persistency): Provide persistent dynamic predicates
- library(pio): Pure I/O
- library(predicate_options): Declare option-processing of predicates
- library(prolog_jiti): Just In Time Indexing (JITI) utilities
- library(prolog_pack): A package manager for Prolog
- library(prolog_xref): Prolog cross-referencer data collection
- library(quasi_quotations): Define Quasi Quotation syntax
- library(random): Random numbers
- library(readutil): Read utilities
- library(record): Access named fields in a term
- library(registry): Manipulating the Windows registry
- library(settings): Setting management
- library(simplex): Solve linear programming problems
- library(solution_sequences): Modify solution sequences
- library(tables): XSB interface to tables
- library(thread): High level thread primitives
- library(thread_pool): Resource bounded thread management
- library(ugraphs): Unweighted Graphs
- library(url): Analysing and constructing URL
- library(varnumbers): Utilities for numbered terms
- library(yall): Lambda expressions
- The SWI-Prolog library
- Reference manual
The meta predicates of this library modify the sequence of solutions of a goal. The modifications and the predicate names are based on the classical database operations DISTINCT, LIMIT, OFFSET, ORDER BY and GROUP BY.
These predicates were introduced in the context of the SWISH Prolog browser-based shell, which can represent the solutions to a predicate as a table. Notably wrapping a goal in distinct/1 avoids duplicates in the result table and using order_by/2 produces a nicely ordered table.
However, the predicates from this library can also be used to stay
longer within the clean paradigm where non-deterministic predicates are
composed from simpler non-deterministic predicates by means of
conjunction and disjunction. While evaluating a conjunction, we might
want to eliminate duplicates of the first part of the conjunction. Below
we give both the classical solution for solving variations of (
b(X)) and the ones using this library side-by-side.
- Avoid duplicates of earlier steps
setof(X, a(X), Xs), distinct(a(X)), member(X, Xs), b(X) b(X).
- Only try
b(X)only for the top-10
setof(X, a(X), Xs), limit(10, order_by([desc(X)], a(X))), reverse(Xs, Desc), b(X) first_max_n(10, Desc, Limit), member(X, Limit), b(X)
Here we see power of composing primitives from this library and staying within the paradigm of pure non-deterministic relational predicates.
- distinct(?Witness, :Goal)
- True if Goal is true and no previous solution of Goal
Witness to the same value. As previous answers need to be
copied, equivalence testing is based on term variance (=@=/2).
The variant distinct/1
is equivalent to
If the answers are ground terms, the predicate behaves as the code below, but answers are returned as soon as they become available rather than first computing the complete answer set.
distinct(Goal) :- findall(Goal, Goal, List), list_to_set(List, Set), member(Goal, Set).
- reduced(?Witness, :Goal, +Options)
- Similar to distinct/1,
but does not guarantee unique results in return for using a limited
amount of memory. Both distinct/1
create a table that block duplicate results. For
this table may get arbitrary large. In contrast,
discards the table and starts a new one of the table size exceeds a
specified limit. This filter is useful for reducing the number of
answers when processing large or infinite long tail distributions. Options:
- Max number of elements kept in the table. Default is 10,000.
- limit(+Count, :Goal)
- Limit the number of solutions. True if Goal is true,
returning at most Count solutions. Solutions are returned as
soon as they become available.
Count is either
infinite, making this predicate equivalent to call/1 or an integer. If Count < 1 this predicate fails immediately.
- offset(+Count, :Goal)
- Ignore the first Count solutions. True if Goal is true and produces more than Count solutions. This predicate computes and ignores the first Count solutions.
- call_nth(:Goal, ?Nth)
- True when Goal succeeded for the Nth time. If Nth is bound on entry, the predicate succeeds deterministically if there are at least Nth solutions for Goal.
- order_by(+Spec, :Goal)
- Order solutions according to Spec. Spec is a list
of terms, where each element is one of. The ordering of solutions of Goal
that only differ in variables that are not shared with Spec
is not changed.
- Order solution according to ascending Term
- Order solution according to descending Term
This predicate is based on findall/3 and (thus) variables in answers are copied.
- [nondet]group_by(+By, +Template, :Goal, -Bag)
- Group bindings of Template that have the same value for By. This predicate is almost the same as bagof/3, but instead of specifying the existential variables we specify the free variables. It is provided for consistency and complete coverage of the common database vocabulary.