Mercurial > hg > dml-open-cliopatria
view cpack/dml/lib/dataset.pl @ 0:718306e29690 tip
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author | Daniel Wolff |
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date | Tue, 09 Feb 2016 21:05:06 +0100 |
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/* Part of DML (Digital Music Laboratory) Copyright 2014-2015 Samer Abdallah, University of London This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this library; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA */ :- module(dataset, [ dataset/5 , dataset_size/2 , dataset_query/2 , dataset_query_dv/3 , dataset_item/2 , dataset_items/2 , dataset_query_id/3 , random_subset/4 ]). /** <module> Definition and memoising of datasets */ :- use_module(library(memo)). :- use_module(library(semweb/rdf_db)). :- use_module(library(sandbox)). :- use_module(library(typedef)). :- type natural == nonneg. :- persistent_memo dataset(+class:ground,+dbv:ground,-id:ground,-size:natural, -items:list). :- persistent_memo term_hash_id(+object:any, +hash:atom, -id:atom). :- persistent_memo random_subset( +domain:nonneg, +size:nonneg, +index:nonneg, -set:list(nonneg)). random_subset(N,K,_,Indices) :- randset(K,N,Indices). :- initialization memo_attach(memo(datasets),[]). :- meta_predicate dataset(1,+,-,-,-), dataset_query_id(1,+,-). sandbox:safe_meta(dataset(G,_,_,_,_),[G]). sandbox:safe_meta(dataset_query_id(G,_,_),[G]). %% dataset( +Generator:pred(A), +DBVersion, -ID:atom, -Size:natural, -Items:list(A)) is det. % % Note: Generator must be ground. dataset(Generator,_,ID,Size,Items) :- setof(X, call(Generator,X), Items), length(Items,Size), variant_sha1(Items,Hash), term_hash_id(Items,Hash,ID). term_hash_id(X,Hash,ID) :- ( browse(term_hash_id(X,Hash,ID)) -> true % makes it safe to call in compute mode ; (ID=Hash; between(1,100,I), variant_sha1(Hash-I,ID)), \+browse(term_hash_id(_,_,ID)) ; throw(unable_to_unique_id(X)) ). %% dataset_query_id(+Query:class,+DBVersion:ground,-ID:ground) is det. % Get ID for given query and database version. If this query has been % requested before, the previously generated ID will be unified with ID. % Otherwise, a new ID will be created and the list of items stored in % the persistent Prolog database. An empty dataset results in an % exception. dataset_query_id(Q,V,ID) :- dif(Status,fail), memo(dataset(Q,V,ID,_,_),_-Status). %% dataset_size(-ID:ground,-Size:natural) is nondet. %% dataset_size(+ID:ground,-Size:natural) is semidet. % True when Size is the number of items in existing dataset with id ID. dataset_size(ID,Size) :- distinct(current_dataset(ID,Size,_)). %% dataset_items(-ID,-Items:list) is nondet. %% dataset_items(+ID,-Items:list) is semidet. % True when Items is the list of items in existing dataset with id ID. dataset_items(ID,Items) :- distinct(current_dataset(ID,_,Items)). %% dataset_item(-ID,-Item) is nondet. %% dataset_item(+ID,-Item) is nondet. % True when dataset ID contains Item. dataset_item(ID,Item) :- dataset_items(ID,Items), member(Item,Items). %% dataset_query(-ID,-Query) is nondet. %% dataset_query(+ID,-Query) is nondet. % True when dataset ID contains Item. dataset_query(ID,Q) :- browse(dataset(Q,_,ID,_,_)). %% dataset_query_dv(-ID,-Query,-DV) is nondet. %% dataset_query_dv(+ID,-Query,-DV) is nondet. % True when dataset ID contains Item. dataset_query_dv(ID,Q,DV) :- browse(dataset(Q,DV,ID,_,_)). current_dataset(ID,Size,Items) :- browse(dataset(_,_,ID,Size,Items)).