+/*
+ * 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 <http://www.gnu.org/licenses/>.
+ * The Jalview Authors are detailed in the 'AUTHORS' file.
+ */
package jalview.datamodel.features;
-import jalview.datamodel.SequenceFeature;
-
import java.util.ArrayList;
import java.util.Collections;
-import java.util.Comparator;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
+import intervalstore.api.IntervalStoreI;
+import intervalstore.impl.BinarySearcher;
+import intervalstore.impl.BinarySearcher.Compare;
+import intervalstore.impl.IntervalStore;
+import jalview.datamodel.SequenceFeature;
+
/**
* 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
*/
public class FeatureStore
{
- /**
- * a class providing criteria for performing a binary search of a list
- */
- 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;
- }
- };
- }
-
- static SearchCriterion byFeature(final ContiguousI to,
- final Comparator<ContiguousI> rc)
- {
- return new SearchCriterion()
- {
-
- @Override
- boolean compare(SequenceFeature entry)
- {
- return rc.compare(entry, to) >= 0;
- }
- };
- }
- }
-
- Comparator<ContiguousI> startOrdering = new RangeComparator(true);
-
- Comparator<ContiguousI> endOrdering = new RangeComparator(false);
-
/*
* Non-positional features have no (zero) start/end position.
* Kept as a separate list in case this criterion changes in future.
List<SequenceFeature> 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<SequenceFeature> nonNestedFeatures;
-
- /*
* contact features ordered by first contact position
*/
List<SequenceFeature> contactFeatureStarts;
List<SequenceFeature> 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<SequenceFeature> nestedFeatures;
+ IntervalStoreI<SequenceFeature> features;
/*
* Feature groups represented in stored positional features
*/
int totalExtent;
+ float positionalMinScore;
+
+ float positionalMaxScore;
+
+ float nonPositionalMinScore;
+
+ float nonPositionalMaxScore;
+
/**
* Constructor
*/
public FeatureStore()
{
- nonNestedFeatures = new ArrayList<SequenceFeature>();
- positionalFeatureGroups = new HashSet<String>();
-
- // we only construct nonPositionalFeatures, contactFeatures
- // or the NCList if we need to
+ features = new IntervalStore<>();
+ 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
}
/**
*/
public boolean addFeature(SequenceFeature feature)
{
+ if (contains(feature))
+ {
+ return false;
+ }
+
/*
* keep a record of feature groups
*/
positionalFeatureGroups.add(feature.getFeatureGroup());
}
- boolean added = false;
-
if (feature.isContactFeature())
{
- added = addContactFeature(feature);
+ addContactFeature(feature);
}
else if (feature.isNonPositional())
{
- added = addNonPositionalFeature(feature);
+ addNonPositionalFeature(feature);
}
else
{
- if (!nonNestedFeatures.contains(feature))
- {
- added = addNonNestedFeature(feature);
- if (!added)
- {
- /*
- * detected a nested feature - put it in the NCList structure
- */
- added = addNestedFeature(feature);
- }
- }
+ addNestedFeature(feature);
}
/*
* getTotalFeatureLength possible; we count the length of a
* contact feature as 1
*/
- if (added)
+ totalExtent += getFeatureLength(feature);
+
+ /*
+ * 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);
+ }
+ }
+
+ 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())
+ {
+ return nonPositionalFeatures == null ? false
+ : nonPositionalFeatures.contains(feature);
+ }
+
+ if (feature.isContactFeature())
{
- totalExtent += getFeatureLength(feature);
+ return contactFeatureStarts == null ? false
+ : listContains(contactFeatureStarts, feature);
}
- return added;
+ return features == null ? false : features.contains(feature);
}
/**
/**
* 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.
+ * 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 feature
*/
{
if (nonPositionalFeatures == null)
{
- nonPositionalFeatures = new ArrayList<SequenceFeature>();
- nonPositionalFeatureGroups = new HashSet<String>();
- }
- if (nonPositionalFeatures.contains(feature))
- {
- return false;
+ nonPositionalFeatures = new ArrayList<>();
}
nonPositionalFeatures.add(feature);
}
/**
- * 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.
+ * Adds one feature to the IntervalStore that can manage nested features
+ * (creating the IntervalStore if necessary)
*/
- protected synchronized boolean addNestedFeature(SequenceFeature feature)
+ protected synchronized void addNestedFeature(SequenceFeature feature)
{
- if (nestedFeatures == null)
+ if (features == null)
{
- nestedFeatures = new NCList<SequenceFeature>(feature);
- return true;
+ features = new IntervalStore<>();
}
- return nestedFeatures.add(feature, false);
+ features.add(feature);
}
/**
- * 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.
+ * 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. This method allows duplicate features to be
+ * added, so test before calling to avoid this.
*
* @param feature
* @return
*/
- protected boolean addNonNestedFeature(SequenceFeature feature)
- {
- synchronized (nonNestedFeatures)
- {
- /*
- * find the first stored feature which doesn't precede the new one
- */
- int insertPosition = binarySearch(nonNestedFeatures,
- SearchCriterion.byFeature(feature, startOrdering));
-
- /*
- * 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;
- }
- }
-
- /**
- * Answers true if range1 properly encloses range2, else false
- *
- * @param range1
- * @param range2
- * @return
- */
- protected boolean encloses(ContiguousI range1, ContiguousI range2)
+ protected synchronized boolean addContactFeature(SequenceFeature feature)
{
- int begin1 = range1.getBegin();
- int begin2 = range2.getBegin();
- int end1 = range1.getEnd();
- int end2 = range2.getEnd();
- if (begin1 == begin2 && end1 > end2)
+ if (contactFeatureStarts == null)
{
- return true;
+ contactFeatureStarts = new ArrayList<>();
}
- if (begin1 < begin2 && end1 >= end2)
+ if (contactFeatureEnds == null)
{
- return true;
+ contactFeatureEnds = new ArrayList<>();
}
- return false;
+
+ /*
+ * insert into list sorted by start (first contact position):
+ * binary search the sorted list to find the insertion point
+ */
+ int insertPosition = BinarySearcher.findFirst(contactFeatureStarts,
+ true, Compare.GE, feature.getBegin());
+ contactFeatureStarts.add(insertPosition, feature);
+
+ /*
+ * insert into list sorted by end (second contact position):
+ * binary search the sorted list to find the insertion point
+ */
+ insertPosition = BinarySearcher.findFirst(contactFeatureEnds, false,
+ Compare.GE, feature.getEnd());
+ contactFeatureEnds.add(insertPosition, feature);
+
+ return true;
}
/**
- * 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.
+ * 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 features
* @param feature
* @return
*/
- protected synchronized boolean addContactFeature(SequenceFeature feature)
+ protected static boolean listContains(List<SequenceFeature> features,
+ SequenceFeature feature)
{
- if (contactFeatureStarts == null)
- {
- contactFeatureStarts = new ArrayList<SequenceFeature>();
- }
- if (contactFeatureEnds == null)
- {
- contactFeatureEnds = new ArrayList<SequenceFeature>();
- }
-
- // TODO binary search for insertion points!
- if (contactFeatureStarts.contains(feature))
+ if (features == null || feature == null)
{
return false;
}
- contactFeatureStarts.add(feature);
- Collections.sort(contactFeatureStarts, startOrdering);
- contactFeatureEnds.add(feature);
- Collections.sort(contactFeatureEnds, endOrdering);
-
- return true;
+ /*
+ * locate the first entry in the list which does not precede the feature
+ */
+ // int pos = binarySearch(features,
+ // SearchCriterion.byFeature(feature, RangeComparator.BY_START_POSITION));
+ int pos = BinarySearcher.findFirst(features, true, Compare.GE,
+ feature.getBegin());
+ int len = features.size();
+ while (pos < len)
+ {
+ SequenceFeature sf = features.get(pos);
+ if (sf.getBegin() > feature.getBegin())
+ {
+ return false; // no match found
+ }
+ if (sf.equals(feature))
+ {
+ return true;
+ }
+ pos++;
+ }
+ return false;
}
/**
*/
public List<SequenceFeature> findOverlappingFeatures(long start, long end)
{
- List<SequenceFeature> result = new ArrayList<SequenceFeature>();
-
- findNonNestedFeatures(start, end, result);
+ List<SequenceFeature> result = new ArrayList<>();
findContactFeatures(start, end, result);
- if (nestedFeatures != null)
+ if (features != null)
{
- result.addAll(nestedFeatures.findOverlaps(start, end));
+ result.addAll(features.findOverlaps(start, end));
}
return result;
{
if (contactFeatureStarts != null)
{
- findContactStartFeatures(from, to, result);
+ findContactStartOverlaps(from, to, result);
}
if (contactFeatureEnds != null)
{
- findContactEndFeatures(from, to, result);
+ findContactEndOverlaps(from, to, result);
}
}
* @param to
* @param result
*/
- protected void findContactEndFeatures(long from, long to,
+ protected void findContactEndOverlaps(long from, long to,
List<SequenceFeature> result)
{
/*
- * find the first contact feature (if any) that does not lie
- * entirely before the target range
+ * find the first contact feature (if any)
+ * whose end point is not before the target range
*/
- int startPosition = binarySearch(contactFeatureEnds,
- SearchCriterion.byEnd(from));
- for (; startPosition < contactFeatureEnds.size(); startPosition++)
+ int index = BinarySearcher.findFirst(contactFeatureEnds, false,
+ Compare.GE, (int) from);
+
+ while (index < contactFeatureEnds.size())
{
- SequenceFeature sf = contactFeatureEnds.get(startPosition);
+ SequenceFeature sf = contactFeatureEnds.get(index);
if (!sf.isContactFeature())
{
- System.err.println("Error! non-contact feature type "
- + sf.getType() + " in contact features list");
+ System.err.println("Error! non-contact feature type " + sf.getType()
+ + " in contact features list");
+ index++;
continue;
}
* this feature's first contact position lies in the search range
* so we don't include it in results a second time
*/
+ index++;
continue;
}
- int end = sf.getEnd();
- if (end >= from && end <= to)
- {
- result.add(sf);
- }
- if (end > to)
+ if (sf.getEnd() > to)
{
+ /*
+ * this feature (and all following) has end point after the target range
+ */
break;
}
- }
- }
- /**
- * 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.
- *
- * @param from
- * @param to
- * @param result
- */
- protected void findNonNestedFeatures(long from, long to,
- List<SequenceFeature> result)
- {
- int startIndex = binarySearch(nonNestedFeatures,
- SearchCriterion.byEnd(from));
-
- findNonNestedFeatures(startIndex, from, to, 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).
- *
- * @param startIndex
- * @param from
- * @param to
- * @param result
- * @return
- */
- protected int findNonNestedFeatures(final int startIndex, long from,
- long to, List<SequenceFeature> result)
- {
- int i = startIndex;
- while (i < nonNestedFeatures.size())
- {
- 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++;
+ /*
+ * feature has end >= from and end <= to
+ * i.e. contact end point lies within overlap search range
+ */
+ result.add(sf);
+ index++;
}
- return i;
}
/**
* @param to
* @param result
*/
- protected void findContactStartFeatures(long from, long to,
+ protected void findContactStartOverlaps(long from, long to,
List<SequenceFeature> result)
{
- int startPosition = binarySearch(contactFeatureStarts,
- SearchCriterion.byStart(from));
+ int index = BinarySearcher.findFirst(contactFeatureStarts, true,
+ Compare.GE, (int) from);
- for (; startPosition < contactFeatureStarts.size(); startPosition++)
+ while (index < contactFeatureStarts.size())
{
- SequenceFeature sf = contactFeatureStarts.get(startPosition);
+ SequenceFeature sf = contactFeatureStarts.get(index);
if (!sf.isContactFeature())
{
- System.err.println("Error! non-contact feature type "
- + sf.getType() + " in contact features list");
+ System.err.println("Error! non-contact feature " + sf.toString()
+ + " in contact features list");
+ index++;
continue;
}
- int begin = sf.getBegin();
- if (begin >= from && begin <= to)
+ if (sf.getBegin() > to)
{
- result.add(sf);
+ /*
+ * this feature's start (and all following) follows the target range
+ */
+ break;
}
+
+ /*
+ * feature has begin >= from and begin <= to
+ * i.e. contact start point lies within overlap search range
+ */
+ result.add(sf);
+ index++;
}
}
*/
public List<SequenceFeature> getPositionalFeatures()
{
- /*
- * add non-nested features (may be all features for many cases)
- */
- List<SequenceFeature> result = new ArrayList<SequenceFeature>();
- result.addAll(nonNestedFeatures);
+ List<SequenceFeature> result = new ArrayList<>();
/*
* add any contact features - from the list by start position
/*
* add any nested features
*/
- if (nestedFeatures != null)
+ if (features != null)
{
- result.addAll(nestedFeatures.getEntries());
+ result.addAll(features);
}
return result;
{
return Collections.emptyList();
}
- return new ArrayList<SequenceFeature>(contactFeatureStarts);
+ return new ArrayList<>(contactFeatureStarts);
}
/**
{
return Collections.emptyList();
}
- return new ArrayList<SequenceFeature>(nonPositionalFeatures);
+ return new ArrayList<>(nonPositionalFeatures);
}
/**
*/
public synchronized boolean delete(SequenceFeature sf)
{
- /*
- * try the non-nested positional features first
- */
- boolean removed = nonNestedFeatures.remove(sf);
+ boolean removed = false;
/*
- * if not found, try contact positions (and if found, delete
+ * try contact positions (and if found, delete
* from both lists of contact positions)
*/
if (!removed && contactFeatureStarts != null)
/*
* if not found, try nested features
*/
- if (!removed && nestedFeatures != null)
+ if (!removed && features != null)
{
- removed = nestedFeatures.delete(sf);
+ removed = features.remove(sf);
}
if (removed)
{
- /*
- * rescan (positional or non-positional) features to rebuild the
- * set of distinct feature groups present
- */
- rebuildFeatureGroups(sf.getFeatureGroup(), removedNonPositional);
-
- /*
- * subtract deleted feature's length from stored total length
- * TODO: can start/end have changed since the feature was added?
- */
- int extent = getFeatureLength(sf);
- totalExtent = Math.max(0, totalExtent - extent);
+ rescanAfterDelete();
}
return removed;
}
/**
- * Check whether the given feature group is still represented, in either
- * positional or non-positional features, and if not, remove it from the set
- * of feature groups
+ * Rescan all features to recompute any cached values after an entry has been
+ * deleted. This is expected to be an infrequent event, so performance here is
+ * not critical.
+ */
+ protected synchronized void rescanAfterDelete()
+ {
+ positionalFeatureGroups.clear();
+ nonPositionalFeatureGroups.clear();
+ totalExtent = 0;
+ positionalMinScore = Float.NaN;
+ positionalMaxScore = Float.NaN;
+ nonPositionalMinScore = Float.NaN;
+ nonPositionalMaxScore = Float.NaN;
+
+ /*
+ * scan non-positional features for groups and scores
+ */
+ for (SequenceFeature sf : getNonPositionalFeatures())
+ {
+ 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 featureGroup
- * @param nonPositional
+ * @param f1
+ * @param f2
*/
- protected void rebuildFeatureGroups(String featureGroup,
- boolean nonPositional)
+ protected static float min(float f1, float f2)
{
- if (nonPositional && nonPositionalFeatures != null)
+ if (Float.isNaN(f1))
{
- boolean found = false;
- for (SequenceFeature sf : nonPositionalFeatures)
- {
- String group = sf.getFeatureGroup();
- if (featureGroup == group
- || (featureGroup != null && featureGroup.equals(group)))
- {
- found = true;
- break;
- }
- }
- if (!found)
- {
- nonPositionalFeatureGroups.remove(featureGroup);
- }
+ return Float.isNaN(f2) ? f1 : f2;
}
- else if (!findFeatureGroup(featureGroup))
+ else
{
- positionalFeatureGroups.remove(featureGroup);
+ return Float.isNaN(f2) ? f1 : Math.min(f1, f2);
}
}
/**
- * Scans all positional features to check whether the given feature group is
- * found, and returns true if found, else 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 featureGroup
- * @return
+ * @param f1
+ * @param f2
*/
- protected boolean findFeatureGroup(String featureGroup)
+ protected static float max(float f1, float f2)
{
- for (SequenceFeature sf : getPositionalFeatures())
+ if (Float.isNaN(f1))
{
- String group = sf.getFeatureGroup();
- if (group == featureGroup
- || (group != null && group.equals(featureGroup)))
- {
- return true;
- }
+ return Float.isNaN(f2) ? f1 : f2;
+ }
+ else
+ {
+ return Float.isNaN(f2) ? f1 : Math.max(f1, f2);
}
- return false;
}
/**
*/
public boolean isEmpty()
{
- boolean hasFeatures = !nonNestedFeatures.isEmpty()
- || (contactFeatureStarts != null && !contactFeatureStarts
- .isEmpty())
- || (nonPositionalFeatures != null && !nonPositionalFeatures
- .isEmpty())
- || (nestedFeatures != null && nestedFeatures.size() > 0);
+ boolean hasFeatures = (contactFeatureStarts != null
+ && !contactFeatureStarts.isEmpty())
+ || (nonPositionalFeatures != null
+ && !nonPositionalFeatures.isEmpty())
+ || (features != null && features.size() > 0);
return !hasFeatures;
}
}
else
{
- return nonPositionalFeatureGroups == null ? Collections
- .<String> emptySet() : Collections
- .unmodifiableSet(nonPositionalFeatureGroups);
- }
- }
-
- /**
- * 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.
- *
- * @param features
- * @param sc
- * @return
- */
- protected int binarySearch(List<SequenceFeature> features,
- SearchCriterion sc)
- {
- int start = 0;
- int end = features.size() - 1;
- int matched = features.size();
-
- while (start <= end)
- {
- int mid = (start + end) / 2;
- SequenceFeature entry = features.get(mid);
- boolean compare = sc.compare(entry);
- if (compare)
- {
- matched = mid;
- end = mid - 1;
- }
- else
- {
- start = mid + 1;
- }
+ return nonPositionalFeatureGroups == null
+ ? Collections.<String> emptySet()
+ : Collections.unmodifiableSet(nonPositionalFeatureGroups);
}
-
- return matched;
}
/**
{
if (!positional)
{
- return nonPositionalFeatures == null ? 0 : nonPositionalFeatures
- .size();
+ return nonPositionalFeatures == null ? 0
+ : nonPositionalFeatures.size();
}
- int size = nonNestedFeatures.size();
+ int size = 0;
if (contactFeatureStarts != null)
{
size += contactFeatureStarts.size();
}
- if (nestedFeatures != null)
+ if (features != null)
{
- size += nestedFeatures.size();
+ size += features.size();
}
return size;
{
return totalExtent;
}
+
+ /**
+ * 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;
+ }
+
+ /**
+ * 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;
+ }
+
+ /**
+ * 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<SequenceFeature> getFeaturesForGroup(boolean positional,
+ String group)
+ {
+ List<SequenceFeature> result = new ArrayList<>();
+
+ /*
+ * if we know features don't include the target group, no need
+ * to inspect them for matches
+ */
+ if (positional && !positionalFeatureGroups.contains(group)
+ || !positional && !nonPositionalFeatureGroups.contains(group))
+ {
+ return result;
+ }
+
+ List<SequenceFeature> sfs = positional ? getPositionalFeatures()
+ : getNonPositionalFeatures();
+ for (SequenceFeature sf : sfs)
+ {
+ String featureGroup = sf.getFeatureGroup();
+ if (group == null && featureGroup == null
+ || group != null && group.equals(featureGroup))
+ {
+ result.add(sf);
+ }
+ }
+ return result;
+ }
+
+ /**
+ * 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 fromPosition
+ * @param shiftBy
+ * @return
+ */
+ public synchronized boolean shiftFeatures(int fromPosition, int shiftBy)
+ {
+ /*
+ * 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;
+ for (SequenceFeature sf : getPositionalFeatures())
+ {
+ if (sf.getBegin() >= fromPosition)
+ {
+ 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 modified;
+ }
}