X-Git-Url: http://source.jalview.org/gitweb/?a=blobdiff_plain;f=src%2Fjalview%2Fdatamodel%2Ffeatures%2FFeatureStore.java;h=615b34036ee713e87b5d50a5f955c0e0d7343135;hb=f8258d012b4afd77e0dd6fd3743714fbabb59c8f;hp=432f62d866980931ff0e04c84f962cab30558c70;hpb=4bb1a8a4b8fc08ed5b0d51f0ea03d9a9ad7dc419;p=jalview.git diff --git a/src/jalview/datamodel/features/FeatureStore.java b/src/jalview/datamodel/features/FeatureStore.java index 432f62d..615b340 100644 --- a/src/jalview/datamodel/features/FeatureStore.java +++ b/src/jalview/datamodel/features/FeatureStore.java @@ -1,76 +1,47 @@ +/* + * Jalview - A Sequence Alignment Editor and Viewer ($$Version-Rel$$) + * Copyright (C) $$Year-Rel$$ The Jalview Authors + * + * This file is part of Jalview. + * + * Jalview 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 3 + * of the License, or (at your option) any later version. + * + * Jalview 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 Jalview. If not, see . + * The Jalview Authors are detailed in the 'AUTHORS' file. + */ package jalview.datamodel.features; import jalview.datamodel.SequenceFeature; +import jalview.util.Platform; import java.util.ArrayList; +import java.util.Collection; import java.util.Collections; -import java.util.Comparator; import java.util.HashSet; import java.util.List; import java.util.Set; -/** - * A data store for a set of sequence features that supports efficient lookup of - * features overlapping a given range. Intended for (but not limited to) storage - * of features for one sequence and feature type. - * - * @author gmcarstairs - * - */ +import intervalstore.api.IntervalStoreI; +import intervalstore.impl.BinarySearcher; +import intervalstore.impl.BinarySearcher.Compare; + public class FeatureStore { - /** - * a class providing criteria for performing a binary search of a list + /* + * track last start for quick insertion of ordered features */ - abstract static class SearchCriterion - { - /** - * Answers true if the entry passes the search criterion test - * - * @param entry - * @return - */ - abstract boolean compare(SequenceFeature entry); - - static SearchCriterion byStart(final long target) - { - return new SearchCriterion() { - - @Override - boolean compare(SequenceFeature entry) - { - return entry.getBegin() >= target; - } - }; - } - - static SearchCriterion byEnd(final long target) - { - return new SearchCriterion() - { - - @Override - boolean compare(SequenceFeature entry) - { - return entry.getEnd() >= target; - } - }; - } + protected int lastStart = -1; - static SearchCriterion byFeature(final ContiguousI to, - final Comparator rc) - { - return new SearchCriterion() - { - - @Override - boolean compare(SequenceFeature entry) - { - return rc.compare(entry, to) >= 0; - } - }; - } - } + protected int lastContactStart = -1; /* * Non-positional features have no (zero) start/end position. @@ -79,14 +50,6 @@ public class FeatureStore List nonPositionalFeatures; /* - * An ordered list of features, with the promise that no feature in the list - * properly contains any other. This constraint allows bounded linear search - * of the list for features overlapping a region. - * Contact features are not included in this list. - */ - List nonNestedFeatures; - - /* * contact features ordered by first contact position */ List contactFeatureStarts; @@ -97,13 +60,10 @@ public class FeatureStore List contactFeatureEnds; /* - * Nested Containment List is used to hold any features that are nested - * within (properly contained by) any other feature. This is a recursive tree - * which supports depth-first scan for features overlapping a range. - * It is used here as a 'catch-all' fallback for features that cannot be put - * into a simple ordered list without invalidating the search methods. + * IntervalStore holds remaining features and provides efficient + * query for features overlapping any given interval */ - NCList nestedFeatures; + IntervalStoreI features; /* * Feature groups represented in stored positional features @@ -131,97 +91,33 @@ public class FeatureStore float nonPositionalMaxScore; + public final static int INTERVAL_STORE_DEFAULT = -1; + /** - * Constructor + * original NCList-based IntervalStore */ - public FeatureStore() - { - nonNestedFeatures = new ArrayList(); - positionalFeatureGroups = new HashSet(); - nonPositionalFeatureGroups = new HashSet(); - positionalMinScore = Float.NaN; - positionalMaxScore = Float.NaN; - nonPositionalMinScore = Float.NaN; - nonPositionalMaxScore = Float.NaN; - - // we only construct nonPositionalFeatures, contactFeatures - // or the NCList if we need to - } + public final static int INTERVAL_STORE_NCLIST_OBJECT = 0; /** - * Adds one sequence feature to the store, and returns true, unless the - * feature is already contained in the store, in which case this method - * returns false. Containment is determined by SequenceFeature.equals() - * comparison. - * - * @param feature + * linked-list IntervalStore */ - public boolean addFeature(SequenceFeature feature) - { - /* - * keep a record of feature groups - */ - if (!feature.isNonPositional()) - { - positionalFeatureGroups.add(feature.getFeatureGroup()); - } + public final static int INTERVAL_STORE_LINKED_LIST = 1; - boolean added = false; + /** + * NCList as array buffer IntervalStore + */ + public final static int INTERVAL_STORE_NCARRAY = 3; - if (feature.isContactFeature()) - { - added = addContactFeature(feature); - } - else if (feature.isNonPositional()) - { - added = addNonPositionalFeature(feature); - } - else - { - if (!contains(nonNestedFeatures, feature)) - { - added = addNonNestedFeature(feature); - if (!added) - { - /* - * detected a nested feature - put it in the NCList structure - */ - added = addNestedFeature(feature); - } - } - } + static final int intervalStoreJavaOption = INTERVAL_STORE_NCLIST_OBJECT; - if (added) - { - /* - * record the total extent of positional features, to make - * getTotalFeatureLength possible; we count the length of a - * contact feature as 1 - */ - totalExtent += getFeatureLength(feature); + private final static boolean isJSLinkedTest = false; - /* - * record the minimum and maximum score for positional - * and non-positional features - */ - float score = feature.getScore(); - if (!Float.isNaN(score)) - { - if (feature.isNonPositional()) - { - nonPositionalMinScore = min(nonPositionalMinScore, score); - nonPositionalMaxScore = max(nonPositionalMaxScore, score); - } - else - { - positionalMinScore = min(positionalMinScore, score); - positionalMaxScore = max(positionalMaxScore, score); - } - } - } + static final int intervalStoreJSOption = (isJSLinkedTest + ? INTERVAL_STORE_LINKED_LIST + : INTERVAL_STORE_NCARRAY); - return added; - } + // TODO: compare performance in real situations using + // INTERVAL_STORE_LINKED_LIST; /** * Answers the 'length' of the feature, counting 0 for non-positional features @@ -244,125 +140,134 @@ public class FeatureStore } /** - * Adds the feature to the list of non-positional features (with lazy - * instantiation of the list if it is null), and returns true. If the - * non-positional features already include the new feature (by equality test), - * then it is not added, and this method returns false. The feature group is - * added to the set of distinct feature groups for non-positional features. + * Answers true if the list contains the feature, else false. This method is + * optimised for the condition that the list is sorted on feature start + * position ascending, and will give unreliable results if this does not hold. * + * @param list * @param feature + * @return */ - protected boolean addNonPositionalFeature(SequenceFeature feature) + public boolean listContains(List list, + SequenceFeature feature) { - if (nonPositionalFeatures == null) - { - nonPositionalFeatures = new ArrayList(); - } - if (nonPositionalFeatures.contains(feature)) + if (list == null || feature == null) { return false; } - nonPositionalFeatures.add(feature); - - nonPositionalFeatureGroups.add(feature.getFeatureGroup()); - - return true; + /* + * locate the first entry in the list which does not precede the feature + */ + int begin = feature.begin; + int pos = BinarySearcher.findFirst(list, true, Compare.GE, begin); + int len = list.size(); + while (pos < len) + { + SequenceFeature sf = list.get(pos); + if (sf.begin > begin) + { + return false; // no match found + } + if (sf.equals(feature)) + { + return true; + } + pos++; + } + return false; } /** - * Adds one feature to the NCList that can manage nested features (creating - * the NCList if necessary), and returns true. If the feature is already - * stored in the NCList (by equality test), then it is not added, and this - * method returns false. + * A helper method to return the maximum of two floats, where a non-NaN value + * is treated as 'greater than' a NaN value (unlike Math.max which does the + * opposite) + * + * @param f1 + * @param f2 */ - protected synchronized boolean addNestedFeature(SequenceFeature feature) + protected static float max(float f1, float f2) { - if (nestedFeatures == null) + if (Float.isNaN(f1)) + { + return Float.isNaN(f2) ? f1 : f2; + } + else { - nestedFeatures = new NCList(feature); - return true; + return Float.isNaN(f2) ? f1 : Math.max(f1, f2); } - return nestedFeatures.add(feature, false); } /** - * Add a feature to the list of non-nested features, maintaining the ordering - * of the list. A check is made for whether the feature is nested in (properly - * contained by) an existing feature. If there is no nesting, the feature is - * added to the list and the method returns true. If nesting is found, the - * feature is not added and the method returns false. + * A helper method to return the minimum of two floats, where a non-NaN value + * is treated as 'less than' a NaN value (unlike Math.min which does the + * opposite) * - * @param feature - * @return + * @param f1 + * @param f2 */ - protected boolean addNonNestedFeature(SequenceFeature feature) + protected static float min(float f1, float f2) { - synchronized (nonNestedFeatures) + if (Float.isNaN(f1)) { - /* - * find the first stored feature which doesn't precede the new one - */ - int insertPosition = binarySearch(nonNestedFeatures, - SearchCriterion.byFeature(feature, RangeComparator.BY_START_POSITION)); - - /* - * fail if we detect feature enclosure - of the new feature by - * the one preceding it, or of the next feature by the new one - */ - if (insertPosition > 0) - { - if (encloses(nonNestedFeatures.get(insertPosition - 1), feature)) - { - return false; - } - } - if (insertPosition < nonNestedFeatures.size()) - { - if (encloses(feature, nonNestedFeatures.get(insertPosition))) - { - return false; - } - } - - /* - * checks passed - add the feature - */ - nonNestedFeatures.add(insertPosition, feature); - - return true; + return Float.isNaN(f2) ? f1 : f2; + } + else + { + return Float.isNaN(f2) ? f1 : Math.min(f1, f2); } } /** - * Answers true if range1 properly encloses range2, else false - * - * @param range1 - * @param range2 - * @return + * standard constructor */ - protected boolean encloses(ContiguousI range1, ContiguousI range2) + public FeatureStore() { - int begin1 = range1.getBegin(); - int begin2 = range2.getBegin(); - int end1 = range1.getEnd(); - int end2 = range2.getEnd(); - if (begin1 == begin2 && end1 > end2) - { - return true; - } - if (begin1 < begin2 && end1 >= end2) - { - return true; + this(INTERVAL_STORE_DEFAULT); + } + + /** + * constructor for testing only + */ + public FeatureStore(int intervalStoreType) + { + features = + // Platform.isJS() + // ? new intervalstore.nonc.IntervalStore<>(true) + // : new intervalstore.impl.IntervalStore<>(); + getIntervalStore(intervalStoreType); + positionalFeatureGroups = new HashSet<>(); + nonPositionalFeatureGroups = new HashSet<>(); + positionalMinScore = Float.NaN; + positionalMaxScore = Float.NaN; + nonPositionalMinScore = Float.NaN; + nonPositionalMaxScore = Float.NaN; + + // we only construct nonPositionalFeatures, contactFeatures if we need to + } + + private IntervalStoreI getIntervalStore(int type) + { + switch (type != INTERVAL_STORE_DEFAULT ? type : // + Platform.isJS() // + ? intervalStoreJSOption + : intervalStoreJavaOption) + { + default: + case INTERVAL_STORE_NCLIST_OBJECT: + return new intervalstore.impl.IntervalStore<>(); + case INTERVAL_STORE_NCARRAY: + return new intervalstore.nonc.IntervalStoreImpl(); + case INTERVAL_STORE_LINKED_LIST: + return new intervalstore.nonc.IntervalStore0Impl(); } - return false; } /** * Add a contact feature to the lists that hold them ordered by start (first * contact) and by end (second contact) position, ensuring the lists remain - * ordered, and returns true. If the contact feature lists already contain the - * given feature (by test for equality), does not add it and returns false. + * ordered, and returns true. This method allows duplicate features to be + * added, so test before calling to avoid this. * * @param feature * @return @@ -371,302 +276,382 @@ public class FeatureStore { if (contactFeatureStarts == null) { - contactFeatureStarts = new ArrayList(); - } - if (contactFeatureEnds == null) - { - contactFeatureEnds = new ArrayList(); - } - - if (contains(contactFeatureStarts, feature)) - { - return false; + contactFeatureStarts = new ArrayList<>(); + contactFeatureEnds = new ArrayList<>(); } /* + * insert into list sorted by start (first contact position): * binary search the sorted list to find the insertion point */ - int insertPosition = binarySearch(contactFeatureStarts, - SearchCriterion.byFeature(feature, - RangeComparator.BY_START_POSITION)); - contactFeatureStarts.add(insertPosition, feature); - // and resort to mak siccar...just in case insertion point not quite right - Collections.sort(contactFeatureStarts, RangeComparator.BY_START_POSITION); - - insertPosition = binarySearch(contactFeatureStarts, - SearchCriterion.byFeature(feature, - RangeComparator.BY_END_POSITION)); - contactFeatureEnds.add(feature); - Collections.sort(contactFeatureEnds, RangeComparator.BY_END_POSITION); + int insertAt = BinarySearcher.findFirst(contactFeatureStarts, true, + Compare.GE, feature.begin); + contactFeatureStarts.add(insertAt, feature); + /* + * insert into list sorted by end (second contact position): + * binary search the sorted list to find the insertion point + */ + contactFeatureEnds.add(findFirstEnd(contactFeatureEnds, feature.end), + feature); return true; } /** - * Answers true if the list contains the feature, else false. This method is - * optimised for the condition that the list is sorted on feature start - * position ascending, and will give unreliable results if this does not hold. + * Adds one sequence feature to the store, and returns true, unless the + * feature is already contained in the store, in which case this method + * returns false. Containment is determined by SequenceFeature.equals() + * comparison. * - * @param features * @param feature - * @return */ - protected static boolean contains(List features, - SequenceFeature feature) + public boolean addFeature(SequenceFeature feature) { - if (features == null || feature == null) + if (feature.isContactFeature()) { - return false; + if (containsContactFeature(feature)) + { + return false; + } + positionalFeatureGroups.add(feature.getFeatureGroup()); + if (feature.begin > lastContactStart) + { + lastContactStart = feature.begin; + } + addContactFeature(feature); + } + else if (feature.isNonPositional()) + { + if (containsNonPositionalFeature(feature)) + { + return false; + } + + addNonPositionalFeature(feature); + } + else + { + if (!features.add(feature, false)) + { + return false; + } + positionalFeatureGroups.add(feature.getFeatureGroup()); + if (feature.begin > lastStart) + { + lastStart = feature.begin; + } } /* - * locate the first entry in the list which does not precede the feature + * record the total extent of positional features, to make + * getTotalFeatureLength possible; we count the length of a + * contact feature as 1 */ - int pos = binarySearch(features, - SearchCriterion.byFeature(feature, RangeComparator.BY_START_POSITION)); - int len = features.size(); - while (pos < len) + totalExtent += getFeatureLength(feature); + + /* + * record the minimum and maximum score for positional + * and non-positional features + */ + float score = feature.getScore(); + if (!Float.isNaN(score)) { - SequenceFeature sf = features.get(pos); - if (sf.getBegin() > feature.getBegin()) + if (feature.isNonPositional()) { - return false; // no match found + nonPositionalMinScore = min(nonPositionalMinScore, score); + nonPositionalMaxScore = max(nonPositionalMaxScore, score); } - if (sf.equals(feature)) + else { - return true; + positionalMinScore = min(positionalMinScore, score); + positionalMaxScore = max(positionalMaxScore, score); } - pos++; } - return false; + + return true; } - /** - * Returns a (possibly empty) list of features whose extent overlaps the given - * range. The returned list is not ordered. Contact features are included if - * either of the contact points lies within the range. - * - * @param start - * start position of overlap range (inclusive) - * @param end - * end position of overlap range (inclusive) - * @return - */ - public List findOverlappingFeatures(long start, long end) + private void addFeaturesForGroup(String group, + Collection sfs, List result) { - List result = new ArrayList(); - - findNonNestedFeatures(start, end, result); - - findContactFeatures(start, end, result); - - if (nestedFeatures != null) + if (sfs == null) { - result.addAll(nestedFeatures.findOverlaps(start, end)); + return; + } + for (SequenceFeature sf : sfs) + { + String featureGroup = sf.getFeatureGroup(); + if (group == null && featureGroup == null + || group != null && group.equals(featureGroup)) + { + result.add(sf); + } } - - return result; } /** - * Adds contact features to the result list where either the second or the - * first contact position lies within the target range + * Adds the feature to the list of non-positional features (with lazy + * instantiation of the list if it is null), and returns true. The feature + * group is added to the set of distinct feature groups for non-positional + * features. This method allows duplicate features, so test before calling to + * prevent this. * - * @param from - * @param to - * @param result + * @param feature */ - protected void findContactFeatures(long from, long to, - List result) + protected boolean addNonPositionalFeature(SequenceFeature feature) { - if (contactFeatureStarts != null) + if (nonPositionalFeatures == null) { - findContactStartFeatures(from, to, result); + nonPositionalFeatures = new ArrayList<>(); } - if (contactFeatureEnds != null) + + nonPositionalFeatures.add(feature); + + nonPositionalFeatureGroups.add(feature.getFeatureGroup()); + + return true; + } + + /** + * Answers true if this store contains the given feature (testing by + * SequenceFeature.equals), else false + * + * @param feature + * @return + */ + public boolean contains(SequenceFeature feature) + { + if (feature.isNonPositional()) { - findContactEndFeatures(from, to, result); + return containsNonPositionalFeature(feature); } + + if (feature.isContactFeature()) + { + return containsContactFeature(feature); + } + + return containsPositionalFeature(feature); + + } + + private boolean containsPositionalFeature(SequenceFeature feature) + { + return features == null || feature.begin > lastStart ? false + : features.contains(feature); } /** - * Adds to the result list any contact features whose end (second contact - * point), but not start (first contact point), lies in the query from-to - * range + * Answers true if this store already contains a contact feature equal to the + * given feature (by {@code SequenceFeature.equals()} test), else false * - * @param from - * @param to - * @param result + * @param feature + * @return */ - protected void findContactEndFeatures(long from, long to, - List result) + private boolean containsContactFeature(SequenceFeature feature) { + return contactFeatureStarts != null && feature.begin <= lastContactStart + && listContains(contactFeatureStarts, feature); + } + + /** + * Answers true if this store already contains a non-positional feature equal + * to the given feature (by {@code SequenceFeature.equals()} test), else false + * + * @param feature + * @return + */ + private boolean containsNonPositionalFeature(SequenceFeature feature) + { + return nonPositionalFeatures == null ? false + : nonPositionalFeatures.contains(feature); + } + + /** + * Deletes the given feature from the store, returning true if it was found + * (and deleted), else false. This method makes no assumption that the feature + * is in the 'expected' place in the store, in case it has been modified since + * it was added. + * + * @param sf + */ + public synchronized boolean delete(SequenceFeature sf) + { + boolean removed = false; + /* - * find the first contact feature (if any) that does not lie - * entirely before the target range + * try contact positions (and if found, delete + * from both lists of contact positions) */ - int startPosition = binarySearch(contactFeatureEnds, - SearchCriterion.byEnd(from)); - for (; startPosition < contactFeatureEnds.size(); startPosition++) + if (!removed && contactFeatureStarts != null) { - SequenceFeature sf = contactFeatureEnds.get(startPosition); - if (!sf.isContactFeature()) + removed = contactFeatureStarts.remove(sf); + if (removed) { - System.err.println("Error! non-contact feature type " - + sf.getType() + " in contact features list"); - continue; + contactFeatureEnds.remove(sf); } + } - int begin = sf.getBegin(); - if (begin >= from && begin <= to) - { - /* - * this feature's first contact position lies in the search range - * so we don't include it in results a second time - */ - continue; - } + /* + * if not found, try non-positional features + */ + if (!removed && nonPositionalFeatures != null) + { + removed = nonPositionalFeatures.remove(sf); + } - int end = sf.getEnd(); - if (end >= from && end <= to) - { - result.add(sf); - } - if (end > to) - { - break; - } + /* + * if not found, try nested features + */ + if (!removed && features != null) + { + removed = features.remove(sf); + } + + if (removed) + { + rescanAfterDelete(); } + + return removed; + } + + public List findOverlappingFeatures(long start, long end) + { + return findOverlappingFeatures(start, end, null); + } + + public List getContactFeatures() + { + return getContactFeatures(new ArrayList<>()); } /** - * Adds non-nested features to the result list that lie within the target - * range. Non-positional features (start=end=0), contact features and nested - * features are excluded. + * Answers a list of all contact features. If there are none, returns an + * immutable empty list. * - * @param from - * @param to - * @param result + * @return */ - protected void findNonNestedFeatures(long from, long to, + public List getContactFeatures( List result) { - int startIndex = binarySearch(nonNestedFeatures, - SearchCriterion.byEnd(from)); - - findNonNestedFeatures(startIndex, from, to, result); + if (contactFeatureStarts != null) + { + result.addAll(contactFeatureStarts); + } + return result; } /** - * Scans the list of non-nested features, starting from startIndex, to find - * those that overlap the from-to range, and adds them to the result list. - * Returns the index of the first feature whose start position is after the - * target range (or the length of the whole list if none such feature exists). + * Answers the number of positional (or non-positional) features stored. + * Contact features count as 1. * - * @param startIndex - * @param from - * @param to - * @param result + * @param positional * @return */ - protected int findNonNestedFeatures(final int startIndex, long from, - long to, List result) + public int getFeatureCount(boolean positional) { - int i = startIndex; - while (i < nonNestedFeatures.size()) + if (!positional) { - SequenceFeature sf = nonNestedFeatures.get(i); - if (sf.getBegin() > to) - { - break; - } - int start = sf.getBegin(); - int end = sf.getEnd(); - if (start <= to && end >= from) - { - result.add(sf); - } - i++; + return nonPositionalFeatures == null ? 0 + : nonPositionalFeatures.size(); } - return i; + + return (contactFeatureStarts == null ? 0 : contactFeatureStarts.size()) + + features.size(); } /** - * Adds contact features whose start position lies in the from-to range to the - * result list + * Answers the set of distinct feature groups stored, possibly including null, + * as an unmodifiable view of the set. The parameter determines whether the + * groups for positional or for non-positional features are returned. * - * @param from - * @param to - * @param result + * @param positionalFeatures + * @return */ - protected void findContactStartFeatures(long from, long to, - List result) + public Set getFeatureGroups(boolean positionalFeatures) { - int startPosition = binarySearch(contactFeatureStarts, - SearchCriterion.byStart(from)); - - for (; startPosition < contactFeatureStarts.size(); startPosition++) + if (positionalFeatures) { - SequenceFeature sf = contactFeatureStarts.get(startPosition); - if (!sf.isContactFeature()) - { - System.err.println("Error! non-contact feature type " - + sf.getType() + " in contact features list"); - continue; - } - int begin = sf.getBegin(); - if (begin >= from && begin <= to) - { - result.add(sf); - } + return Collections.unmodifiableSet(positionalFeatureGroups); + } + else + { + return nonPositionalFeatureGroups == null + ? Collections. emptySet() + : Collections.unmodifiableSet(nonPositionalFeatureGroups); } } + public Collection getFeatures() + { + return features; + } + /** - * Answers a list of all positional features stored, in no guaranteed order + * Answers a list of all either positional or non-positional features whose + * feature group matches the given group (which may be null) * + * @param positional + * @param group * @return */ - public List getPositionalFeatures() + public List getFeaturesForGroup(boolean positional, + String group) { - /* - * add non-nested features (may be all features for many cases) - */ - List result = new ArrayList(); - result.addAll(nonNestedFeatures); + List result = new ArrayList<>(); /* - * add any contact features - from the list by start position + * if we know features don't include the target group, no need + * to inspect them for matches */ - if (contactFeatureStarts != null) + if (positional && !positionalFeatureGroups.contains(group) + || !positional && !nonPositionalFeatureGroups.contains(group)) { - result.addAll(contactFeatureStarts); + return result; } - /* - * add any nested features - */ - if (nestedFeatures != null) + if (positional) { - result.addAll(nestedFeatures.getEntries()); + addFeaturesForGroup(group, contactFeatureStarts, result); + addFeaturesForGroup(group, features, result); + } + else + { + addFeaturesForGroup(group, nonPositionalFeatures, result); } - return result; } /** - * Answers a list of all contact features. If there are none, returns an - * immutable empty list. + * Answers the maximum score held for positional or non-positional features. + * This may be Float.NaN if there are no features, are none has a non-NaN + * score. * + * @param positional * @return */ - public List getContactFeatures() + public float getMaximumScore(boolean positional) { - if (contactFeatureStarts == null) - { - return Collections.emptyList(); - } - return new ArrayList(contactFeatureStarts); + return positional ? positionalMaxScore : nonPositionalMaxScore; + } + + /** + * Answers the minimum score held for positional or non-positional features. + * This may be Float.NaN if there are no features, are none has a non-NaN + * score. + * + * @param positional + * @return + */ + public float getMinimumScore(boolean positional) + { + return positional ? positionalMinScore : nonPositionalMinScore; + } + + public List getNonPositionalFeatures() + { + return getNonPositionalFeatures(new ArrayList<>()); } /** @@ -675,68 +660,74 @@ public class FeatureStore * * @return */ - public List getNonPositionalFeatures() + public List getNonPositionalFeatures( + List result) { - if (nonPositionalFeatures == null) + if (nonPositionalFeatures != null) { - return Collections.emptyList(); + result.addAll(nonPositionalFeatures); } - return new ArrayList(nonPositionalFeatures); + return result; + } + + public List getPositionalFeatures() + { + return getPositionalFeatures(new ArrayList<>()); } /** - * Deletes the given feature from the store, returning true if it was found - * (and deleted), else false. This method makes no assumption that the feature - * is in the 'expected' place in the store, in case it has been modified since - * it was added. + * Answers a list of all positional features stored, in no guaranteed order * - * @param sf + * @return */ - public synchronized boolean delete(SequenceFeature sf) + public List getPositionalFeatures( + List result) { - /* - * try the non-nested positional features first - */ - boolean removed = nonNestedFeatures.remove(sf); /* - * if not found, try contact positions (and if found, delete - * from both lists of contact positions) + * add any contact features - from the list by start position */ - if (!removed && contactFeatureStarts != null) + if (contactFeatureStarts != null) { - removed = contactFeatureStarts.remove(sf); - if (removed) - { - contactFeatureEnds.remove(sf); - } + result.addAll(contactFeatureStarts); } - boolean removedNonPositional = false; - /* - * if not found, try non-positional features + * add any nested features */ - if (!removed && nonPositionalFeatures != null) + if (features != null) { - removedNonPositional = nonPositionalFeatures.remove(sf); - removed = removedNonPositional; + result.addAll(features); } - /* - * if not found, try nested features - */ - if (!removed && nestedFeatures != null) - { - removed = nestedFeatures.delete(sf); - } + return result; + } - if (removed) - { - rescanAfterDelete(); - } + /** + * Answers the total length of positional features (or zero if there are + * none). Contact features contribute a value of 1 to the total. + * + * @return + */ + public int getTotalFeatureLength() + { + return totalExtent; + } - return removed; + /** + * Answers true if this store has no features, else false + * + * @return + */ + public boolean isEmpty() + { + boolean hasFeatures = (contactFeatureStarts != null + && !contactFeatureStarts.isEmpty()) + || (nonPositionalFeatures != null + && !nonPositionalFeatures.isEmpty()) + || features.size() > 0; + + return !hasFeatures; } /** @@ -753,231 +744,246 @@ public class FeatureStore positionalMaxScore = Float.NaN; nonPositionalMinScore = Float.NaN; nonPositionalMaxScore = Float.NaN; - /* * scan non-positional features for groups and scores */ - for (SequenceFeature sf : getNonPositionalFeatures()) + if (nonPositionalFeatures != null) { - nonPositionalFeatureGroups.add(sf.getFeatureGroup()); - float score = sf.getScore(); - nonPositionalMinScore = min(nonPositionalMinScore, score); - nonPositionalMaxScore = max(nonPositionalMaxScore, score); + List list = nonPositionalFeatures; + for (int i = 0, n = list.size(); i < n; i++) + { + SequenceFeature sf = list.get(i); + nonPositionalFeatureGroups.add(sf.getFeatureGroup()); + float score = sf.getScore(); + nonPositionalMinScore = min(nonPositionalMinScore, score); + nonPositionalMaxScore = max(nonPositionalMaxScore, score); + } } /* * scan positional features for groups, scores and extents */ - for (SequenceFeature sf : getPositionalFeatures()) - { - positionalFeatureGroups.add(sf.getFeatureGroup()); - float score = sf.getScore(); - positionalMinScore = min(positionalMinScore, score); - positionalMaxScore = max(positionalMaxScore, score); - totalExtent += getFeatureLength(sf); - } - } - /** - * A helper method to return the minimum of two floats, where a non-NaN value - * is treated as 'less than' a NaN value (unlike Math.min which does the - * opposite) - * - * @param f1 - * @param f2 - */ - protected static float min(float f1, float f2) - { - if (Float.isNaN(f1)) - { - return Float.isNaN(f2) ? f1 : f2; - } - else - { - return Float.isNaN(f2) ? f1 : Math.min(f1, f2); - } + rescanPositional(contactFeatureStarts); + rescanPositional(features); } - /** - * A helper method to return the maximum of two floats, where a non-NaN value - * is treated as 'greater than' a NaN value (unlike Math.max which does the - * opposite) - * - * @param f1 - * @param f2 - */ - protected static float max(float f1, float f2) + private void rescanPositional(Collection sfs) { - if (Float.isNaN(f1)) + if (sfs == null) { - return Float.isNaN(f2) ? f1 : f2; + return; } - else + for (SequenceFeature sf : sfs) { - return Float.isNaN(f2) ? f1 : Math.max(f1, f2); + positionalFeatureGroups.add(sf.getFeatureGroup()); + float score = sf.getScore(); + positionalMinScore = min(positionalMinScore, score); + positionalMaxScore = max(positionalMaxScore, score); + totalExtent += getFeatureLength(sf); } } /** - * Scans all positional features to check whether the given feature group is - * found, and returns true if found, else false + * Adds the shift amount to the start and end of all positional features whose + * start position is at or after fromPosition. Returns true if at least one + * feature was shifted, else false. * - * @param featureGroup + * @param fromPosition + * @param shiftBy * @return */ - protected boolean findFeatureGroup(String featureGroup) + public synchronized boolean shiftFeatures(int fromPosition, int shiftBy) { - for (SequenceFeature sf : getPositionalFeatures()) + /* + * Because begin and end are final fields (to ensure the data store's + * integrity), we have to delete each feature and re-add it as amended. + * (Although a simple shift of all values would preserve data integrity!) + */ + boolean modified = false; + List list = getPositionalFeatures(); + for (int i = 0, n = list.size(); i < n; i++) { - String group = sf.getFeatureGroup(); - if (group == featureGroup - || (group != null && group.equals(featureGroup))) + SequenceFeature sf = list.get(i); + if (sf.getBegin() >= fromPosition) { - return true; + modified = true; + int newBegin = sf.getBegin() + shiftBy; + int newEnd = sf.getEnd() + shiftBy; + + /* + * sanity check: don't shift left of the first residue + */ + if (newEnd > 0) + { + newBegin = Math.max(1, newBegin); + SequenceFeature sf2 = new SequenceFeature(sf, newBegin, newEnd, + sf.getFeatureGroup(), sf.getScore()); + addFeature(sf2); + } + delete(sf); } } - return false; + return modified; } /** - * Answers true if this store has no features, else false + * Answers the position (0, 1...) in the list of the first entry whose end + * position is not less than {@ pos}. If no such entry is found, answers the + * length of the list. * + * @param list + * @param pos * @return */ - public boolean isEmpty() + protected int findFirstEnd(List list, long pos) { - boolean hasFeatures = !nonNestedFeatures.isEmpty() - || (contactFeatureStarts != null && !contactFeatureStarts - .isEmpty()) - || (nonPositionalFeatures != null && !nonPositionalFeatures - .isEmpty()) - || (nestedFeatures != null && nestedFeatures.size() > 0); - - return !hasFeatures; + return BinarySearcher.findFirst(list, false, Compare.GE, (int) pos); } /** - * Answers the set of distinct feature groups stored, possibly including null, - * as an unmodifiable view of the set. The parameter determines whether the - * groups for positional or for non-positional features are returned. + * Adds contact features to the result list where either the second or the + * first contact position lies within the target range * - * @param positionalFeatures - * @return + * @param from + * @param to + * @param result */ - public Set getFeatureGroups(boolean positionalFeatures) + protected void findContactFeatures(long from, long to, + List result) { - if (positionalFeatures) - { - return Collections.unmodifiableSet(positionalFeatureGroups); - } - else + if (contactFeatureStarts != null) { - return nonPositionalFeatureGroups == null ? Collections - . emptySet() : Collections - .unmodifiableSet(nonPositionalFeatureGroups); + findContactStartOverlaps(from, to, result); + findContactEndOverlaps(from, to, result); } } /** - * Performs a binary search of the (sorted) list to find the index of the - * first entry which returns true for the given comparator function. Returns - * the length of the list if there is no such entry. + * Adds to the result list any contact features whose end (second contact + * point), but not start (first contact point), lies in the query from-to + * range * - * @param features - * @param sc - * @return + * @param from + * @param to + * @param result */ - protected static int binarySearch(List features, - SearchCriterion sc) + private void findContactEndOverlaps(long from, long to, + List result) { - int start = 0; - int end = features.size() - 1; - int matched = features.size(); + /* + * find the first contact feature (if any) + * whose end point is not before the target range + */ + int index = findFirstEnd(contactFeatureEnds, from); - while (start <= end) + int n = contactFeatureEnds.size(); + while (index < n) { - int mid = (start + end) / 2; - SequenceFeature entry = features.get(mid); - boolean compare = sc.compare(entry); - if (compare) + SequenceFeature sf = contactFeatureEnds.get(index); + if (!sf.isContactFeature()) { - matched = mid; - end = mid - 1; + System.err.println("Error! non-contact feature type " + sf.getType() + + " in contact features list"); + index++; + continue; } - else + + int begin = sf.getBegin(); + if (begin >= from && begin <= to) + { + /* + * this feature's first contact position lies in the search range + * so we don't include it in results a second time + */ + index++; + continue; + } + + if (sf.getEnd() > to) { - start = mid + 1; + /* + * this feature (and all following) has end point after the target range + */ + break; } - } - return matched; + /* + * feature has end >= from and end <= to + * i.e. contact end point lies within overlap search range + */ + result.add(sf); + index++; + } } /** - * Answers the number of positional (or non-positional) features stored. - * Contact features count as 1. + * Adds contact features whose start position lies in the from-to range to the + * result list * - * @param positional - * @return + * @param from + * @param to + * @param result */ - public int getFeatureCount(boolean positional) + private void findContactStartOverlaps(long from, long to, + List result) { - if (!positional) - { - return nonPositionalFeatures == null ? 0 : nonPositionalFeatures - .size(); - } - - int size = nonNestedFeatures.size(); + int index = BinarySearcher.findFirst(contactFeatureStarts, true, + Compare.GE, (int) from); - if (contactFeatureStarts != null) + while (index < contactFeatureStarts.size()) { - // note a contact feature (start/end) counts as one - size += contactFeatureStarts.size(); - } + SequenceFeature sf = contactFeatureStarts.get(index); + if (!sf.isContactFeature()) + { + System.err.println("Error! non-contact feature " + sf.toString() + + " in contact features list"); + index++; + continue; + } + if (sf.getBegin() > to) + { + /* + * this feature's start (and all following) follows the target range + */ + break; + } - if (nestedFeatures != null) - { - size += nestedFeatures.size(); + /* + * feature has begin >= from and begin <= to + * i.e. contact start point lies within overlap search range + */ + result.add(sf); + index++; } - - return size; } /** - * Answers the total length of positional features (or zero if there are - * none). Contact features contribute a value of 1 to the total. + * Returns a (possibly empty) list of features whose extent overlaps the given + * range. The returned list is not ordered. Contact features are included if + * either of the contact points lies within the range. If the {@code result} + * parameter is not null, new entries are added to this list and the (possibly + * extended) list returned. * + * @param start + * start position of overlap range (inclusive) + * @param end + * end position of overlap range (inclusive) + * @param result * @return */ - public int getTotalFeatureLength() + public List findOverlappingFeatures(long start, long end, + List result) { - return totalExtent; - } + if (result == null) + { + result = new ArrayList<>(); + } - /** - * Answers the minimum score held for positional or non-positional features. - * This may be Float.NaN if there are no features, are none has a non-NaN - * score. - * - * @param positional - * @return - */ - public float getMinimumScore(boolean positional) - { - return positional ? positionalMinScore : nonPositionalMinScore; - } + findContactFeatures(start, end, result); + features.findOverlaps(start, end, result); - /** - * Answers the maximum score held for positional or non-positional features. - * This may be Float.NaN if there are no features, are none has a non-NaN - * score. - * - * @param positional - * @return - */ - public float getMaximumScore(boolean positional) - { - return positional ? positionalMaxScore : nonPositionalMaxScore; + return result; } + }