+ return new ArrayList<>(nonPositionalFeatures);
+ }
+
+ /**
+ * 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)
+ {
+ /*
+ * 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)
+ */
+ if (!removed && contactFeatureStarts != null)
+ {
+ removed = contactFeatureStarts.remove(sf);
+ if (removed)
+ {
+ contactFeatureEnds.remove(sf);
+ }
+ }
+
+ boolean removedNonPositional = false;
+
+ /*
+ * if not found, try non-positional features
+ */
+ if (!removed && nonPositionalFeatures != null)
+ {
+ removedNonPositional = nonPositionalFeatures.remove(sf);
+ removed = removedNonPositional;
+ }
+
+ /*
+ * if not found, try nested features
+ */
+ if (!removed && nestedFeatures != null)
+ {
+ removed = nestedFeatures.delete(sf);
+ }
+
+ if (removed)
+ {
+ rescanAfterDelete();
+ }
+
+ return removed;
+ }
+
+ /**
+ * 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 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);
+ }
+ }
+
+ /**
+ * 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)
+ {
+ if (Float.isNaN(f1))
+ {
+ return Float.isNaN(f2) ? f1 : f2;
+ }
+ else
+ {
+ return Float.isNaN(f2) ? f1 : Math.max(f1, f2);
+ }
+ }
+
+ /**
+ * Answers true if this store has no features, else false
+ *
+ * @return
+ */
+ public boolean isEmpty()
+ {
+ boolean hasFeatures = !nonNestedFeatures.isEmpty()
+ || (contactFeatureStarts != null && !contactFeatureStarts
+ .isEmpty())
+ || (nonPositionalFeatures != null && !nonPositionalFeatures
+ .isEmpty())
+ || (nestedFeatures != null && nestedFeatures.size() > 0);
+
+ return !hasFeatures;
+ }
+
+ /**
+ * 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 positionalFeatures
+ * @return
+ */
+ public Set<String> getFeatureGroups(boolean positionalFeatures)
+ {
+ if (positionalFeatures)
+ {
+ return Collections.unmodifiableSet(positionalFeatureGroups);
+ }
+ 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 static 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 matched;
+ }
+
+ /**
+ * Answers the number of positional (or non-positional) features stored.
+ * Contact features count as 1.
+ *
+ * @param positional
+ * @return
+ */
+ public int getFeatureCount(boolean positional)
+ {
+ if (!positional)
+ {
+ return nonPositionalFeatures == null ? 0 : nonPositionalFeatures
+ .size();
+ }
+
+ int size = nonNestedFeatures.size();
+
+ if (contactFeatureStarts != null)
+ {
+ // note a contact feature (start/end) counts as one
+ size += contactFeatureStarts.size();
+ }
+
+ if (nestedFeatures != null)
+ {
+ size += nestedFeatures.size();
+ }
+
+ 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.
+ *
+ * @return
+ */
+ public int getTotalFeatureLength()
+ {
+ 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 value to the start and end of all positional features.
+ * Returns true if at least one feature was updated, else false.
+ *
+ * @param shift
+ * @return
+ */
+ public synchronized boolean shiftFeatures(int shift)
+ {
+ /*
+ * 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())
+ {
+ modified = true;
+ int newBegin = sf.getBegin() + shift;
+ int newEnd = sf.getEnd() + shift;
+
+ /*
+ * 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;