}
}
- 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.
*/
Set<String> nonPositionalFeatureGroups;
+ /*
+ * the total length of all positional features; contact features count 1 to
+ * the total and 1 to size(), consistent with an average 'feature length' of 1
+ */
+ int totalExtent;
+
+ float positionalMinScore;
+
+ float positionalMaxScore;
+
+ float nonPositionalMinScore;
+
+ float nonPositionalMaxScore;
+
/**
* Constructor
*/
{
nonNestedFeatures = new ArrayList<SequenceFeature>();
positionalFeatureGroups = new HashSet<String>();
+ nonPositionalFeatureGroups = new HashSet<String>();
+ positionalMinScore = Float.NaN;
+ positionalMaxScore = Float.NaN;
+ nonPositionalMinScore = Float.NaN;
+ nonPositionalMaxScore = Float.NaN;
// we only construct nonPositionalFeatures, contactFeatures
// or the NCList if we need to
}
else
{
- if (!nonNestedFeatures.contains(feature))
+ if (!contains(nonNestedFeatures, feature))
{
added = addNonNestedFeature(feature);
if (!added)
}
}
+ 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);
+
+ /*
+ * 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 added;
}
/**
+ * Answers the 'length' of the feature, counting 0 for non-positional features
+ * and 1 for contact features
+ *
+ * @param feature
+ * @return
+ */
+ protected static int getFeatureLength(SequenceFeature feature)
+ {
+ if (feature.isNonPositional())
+ {
+ return 0;
+ }
+ if (feature.isContactFeature())
+ {
+ return 1;
+ }
+ return 1 + feature.getEnd() - feature.getBegin();
+ }
+
+ /**
* 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),
if (nonPositionalFeatures == null)
{
nonPositionalFeatures = new ArrayList<SequenceFeature>();
- nonPositionalFeatureGroups = new HashSet<String>();
}
if (nonPositionalFeatures.contains(feature))
{
* find the first stored feature which doesn't precede the new one
*/
int insertPosition = binarySearch(nonNestedFeatures,
- SearchCriterion.byFeature(feature, startOrdering));
+ SearchCriterion.byFeature(feature, RangeComparator.BY_START_POSITION));
/*
* fail if we detect feature enclosure - of the new feature by
contactFeatureEnds = new ArrayList<SequenceFeature>();
}
- // TODO binary search for insertion points!
- if (contactFeatureStarts.contains(feature))
+ if (contains(contactFeatureStarts, feature))
{
return false;
}
- contactFeatureStarts.add(feature);
- Collections.sort(contactFeatureStarts, startOrdering);
+ /*
+ * 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, endOrdering);
+ Collections.sort(contactFeatureEnds, RangeComparator.BY_END_POSITION);
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.
+ *
+ * @param features
+ * @param feature
+ * @return
+ */
+ protected static boolean contains(List<SequenceFeature> features,
+ SequenceFeature feature)
+ {
+ if (features == null || feature == null)
+ {
+ return false;
+ }
+
+ /*
+ * 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 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;
+ }
+
+ /**
* 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 (removed)
{
- rebuildFeatureGroups(sf.getFeatureGroup(), removedNonPositional);
+ 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
+ {
+ 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 if (!findFeatureGroup(featureGroup))
+ else
{
- positionalFeatureGroups.remove(featureGroup);
+ return Float.isNaN(f2) ? f1 : Math.max(f1, f2);
}
}
* @param sc
* @return
*/
- protected int binarySearch(List<SequenceFeature> features,
+ protected static int binarySearch(List<SequenceFeature> features,
SearchCriterion sc)
{
int start = 0;
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<SequenceFeature>();
+
+ /*
+ * 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;
+ }
}
git://source.jalview.org / jalview.git / blobdiff