library(terms)
This library module provides miscellaneous operations on terms. Exported predicates:
subsumeschk(+General, +Specific)
is true when Specific is an instance of General. It does not bind any variables.
This predicate is identical to the built-in subsumes_term/2
and it is only present for backwards compatibility.
subsumes(+General, +Specific)
is true when Specific is an instance of General. It will bind variables in General (but not those in Specific, except when +General and +Specific share variables) so that General becomes identical to Specific.
In many cases, binding variable is not really desirable, in which case
subsumes_term/2
should be used instead.
If unification is in fact wanted, it may be better to make this explicit in your code by
using subsumes_term/2
followed by an explicit unification, e.g. subsumes_term(G,S), G=S
.
variant(+Term, +Variant)
is true when Term and Variant are identical modulo renaming of variables, provided Term and Variant have no variables in common.
term_subsumer(+Term1, +Term2, -Term)
binds Term to a most specific generalisation of Term1 and Term2. Using Plotkin’s algorithm [Machine Intelligence 5, 1970], extended by Dan Sahlin to handle cyclic structures.
term_hash(+Term, -Hash)
Equivalent to term_hash(Term, [], Hash)
.
term_hash(+Term, +Options, -Hash)
Options is a list of options,
algorithm(Algorithm)
Algorithm specifies which hash function to use. An atom, one of,
default
This is currently the same as jenkins
. This is the
default. If we ever see a need to change the default hash
algorithm again then the algorithm denoted by default
may
change but the algorithm denoted by the other names, like
'sicstus-4.0.5'
, will not change.
jenkins
Based on the algorithm “lookup3” by Bob Jenkins, see http://burtleburtle.net/bob/hash/doobs.html.
hsieh
Based on the algorithm “SuperFastHash” by Paul Hsieh, see
http://www.azillionmonkeys.com/qed/hash.html. Despite the
name neither this nor any other choice of algorithm significantly
affects the speed of term_hash/3
.
sdbm
Based on the well known algorithm “sdbm”.
'sicstus-4.0.4'
This is the algorithm used up to SICStus Prolog 4.0.4 (inclusive). It is only present to provide backwards compatibility. It is not as good as any of the above algorithms. Note that this atom needs to be quoted.
This algorithm produces hash values that may differ between platforms.
'sicstus-4.0.5'
This is the same as jenkins
. I.e. the default since
SICStus Prolog 4.0.5. Note that this atom needs to be quoted.
there are some other (not as good) algorithms available for the curious, see the source for detail.
Unless otherwise noted, the hash value will be identical across runs and platforms.
range(Range)
The resulting hash value will be non-negative and less than the upper bound specified by Range. Range should be either a positive integer, or an atom, one of,
infinite
Do not constrain the hash value. Currently all hash algorithms produce an unsigned 32-bit integer.
smallint
Ensure the resulting hash value is a small integer.
This is the same as
specifying a range of 2^28
on 32-bit platforms and
2^60
on 64-bit platforms.
smallint32
Ensure the resulting hash value is in the 32-bit platform range
of small integers, i.e. the same as a range of 2^28
.
default
The same as smallint32
. This is the default. This ensures
that, by default, the same hash value is computed for the same
term on both 32-bit and 64-bit platforms.
depth(Depth)
Specifies how deep to descend into the term when calculating the
hash value.
If Depth
is a non-negative integer the subterms up to depth
Depth of Term are used in the
computation. Alternatively, if Depth
is the atom
infinite
, all subterms of Term are relevant in
computing Hash. In the latter case Term must be
acyclic.
In this context the depth of a term is defined as
follows: the (principal functor of) the term itself
has depth 1, and an argument of a term with depth
i has depth i+1. Note that this is similar to, but not
the same as, the value computed by term_depth/2
.
For legacy reasons a Depth of -1 is treated the same a
infinite
.
if_var(IfVar)
Specifies what to do if a variable is encountered in the term (i.e. to the specified depth). IfVar should be an atom, one of,
error
An instantiation error is thrown.
ignore
The variable is ignored and the hash algorithm continues with the other parts of the term.
value(Value)
The hash algorithm stops, the intermediate hash result is
discarded and Hash
is bound to Value
. There is no
restrictions on Value
, it need not be an integer or even be
ground.
default
This is the same as value(_)
, i.e. term_hash/3
just succeeds without binding Hash
. This is the default.
This is useful when the hash value us used for first-argument
indexing. This ensures that if the (possibly variable-valued) hash
values for Term1 and Term2 are Hash1 and
Hash2, respectively, then if Term1 and Term2 are
unifiable (to the specified depth) then so are Hash1 and
Hash2.
For other use cases it is probably more appropriate to specify
if_var(error)
.
term_hash(+Term, +Depth, +Range, -Hash)
Equivalent to term_hash(Term, [depth(Depth), range(Range)], Hash)
.
term_hash/[2,3,4]
is provided primarily as a tool for the
construction of sophisticated Prolog clause access schemes. Its
intended use is to generate hash values for terms that will be
used with first argument clause indexing, yielding compact and
efficient multi-argument or deep argument indexing.
term_variables_set(+Term, -Variables) since release 4.3
True if Variables is the (ordered) set of variables occurring in Term.
This was called term_variables/2
prior to SICStus Prolog
4.3 but now term_variables/2
is a built-in with different
meaning, due to alignment with the ISO Prolog standard.
term_variables_bag(+Term, -Variables)
True if Variables is the list of variables occurring in Term, in first occurrence order.
This predicate has been superseeded by the built-in
term_variables/2
and it is only present for backwards compatibility.
The name is an historical accident, the result is not really a bag (i.e. multiset).
cyclic_term(+X)
True if X is infinite (cyclic). Runs in linear time.
term_order(+X, +Y, -R)
is true when X and Y are arbitrary terms, and R is <
, =
, or >
according
as X @< Y, X == Y, or X @> Y. This is the same as compare/3
, except
for the argument order.
contains_term(+Kernel, +Expression)
is true when the given Kernel occurs somewhere in the Expression.
It can only be used as a test; to generate sub-terms use sub_term/2
.
free_of_term(+Kernel, +Expression)
is true when the given Kernel does not occur anywhere in the Expression. NB: if the Expression contains an unbound variable, this must fail, as the Kernel might occur there. Since there are infinitely many Kernels not contained in any Expression, and also infinitely many Expressions not containing any Kernel, it doesn’t make sense to use this except as a test.
occurrences_of_term(+Kernel, +Expression, -Tally)
is true when the given Kernel occurs exactly Tally times in
Expression. It can only be used to calculate or test Tally;
to enumerate Kernels you’ll have to use sub_term/2
and then
test them with this routine. If you just want to find out
whether Kernel occurs in Expression or not, use contains_term/2
or free_of_term/2
.
contains_var(+Variable, +Term)
is true when the given Term contains at least one sub-term which
is identical to the given Variable. We use ==
to check for
the variable (contains_term/2
uses =
) so it can be used to check
for arbitrary terms, not just variables.
free_of_var(+Variable, +Term)
is true when the given Term contains no sub-term identical to the given Variable (which may actually be any term, not just a var). For variables, this is precisely the "occurs check" which is needed for sound unification.
occurrences_of_var(+Variable, +Term, -Tally)
is true when the given Variable occurs exactly Tally times in
Term. It can only be used to calculate or test Tally;
to enumerate Variables you’ll have to use sub_term/2
and then
test them with this routine. If you just want to find out
whether Variable occurs in Term or not, use contains_var/2
or free_of_var/2
.
sub_term(?Kernel, +Term)
is true when Kernel is a sub-term of Term. It enumerates the sub-terms of Term in an arbitrary order. Well, it is defined that a sub-term of Term will be enumerated before its own sub-terms are (but of course some of those sub-terms might be elsewhere in Term as well).
depth_bound(+Term, +Bound)
is true when the term depth of Term is no greater than Bound,
that is, when constructor functions are nested no more than Bound deep.
Later variable bindings may invalidate this bound. To find the
(current) depth, use term_depth/2
.
length_bound(?List, +Bound)
is true when the length of List is no greater than Bound. It can be used to enumerate Lists up to the bound.
size_bound(+Term, +Bound)
is true when the number of constant and function symbols in Term is
(currently) at most Bound. If Term is non-ground, later variable
bindings may invalidate this bound. To find the (current) size, use
term_size/2
.
term_depth(+Term, -Depth)
calculates the Depth of a Term, using the definition
term_depth(Var) = 0 term_depth(Const) = 0 term_depth(F(T1,...,Tn)) = 1+max(term_depth(T1),...,term_depth(Tn))
Could be defined as:
term_depth(X, Depth) :- simple(X), !, Depth = 0. term_depth(X, Depth) :- ( foreacharg(A,X), fromto(0,D0,D,Depth0) do term_depth(A, D1), D is max(D0,D1) ), Depth is Depth0+1.
term_size(+Term, -Size)
calculates the Size of a Term, defined to be the number of constant and function symbol occurrences in it. Could be defined as:
term_size(X, Size) :- var(X), !, Size = 0. term_size(X, Size) :- simple(X), !, Size = 1. term_size(X, Size) :- ( foreacharg(A,X), fromto(1,S0,S,Size) do term_size(A, S1), S is S0+S1 ).
same_functor(?T1, ?T2)
is true when T1 and T2 have the same principal functor. If one of the terms is a variable, it will be instantiated to a new term with the same principal functor as the other term (which should be instantiated) and with arguments being new distinct variables. If both terms are variables, an error is reported.
same_functor(?T1, ?T2, ?N)
is true when T1 and T2 have the same principal functor, and their
common arity is N. Like same_functor/3
, at least one of T1 and T2
must be bound, or an error will be reported.
same_functor(?T1, ?T2, ?F, ?N)
is true when T1 and T2 have the same principal functor, and their common functor is F/N. Given T1 (or T2) the remaining arguments can be computed. Given F and N, the remaining arguments can be computed. If too many arguments are unbound, an error is reported.