--- /dev/null
+package jalview.ws.datamodel.alphafold;
+
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+
+import jalview.datamodel.ContactListI;
+import jalview.datamodel.ContactListImpl;
+import jalview.datamodel.ContactListProviderI;
+import jalview.datamodel.ContactMatrixI;
+import jalview.datamodel.SequenceI;
+
+public class PAEContactMatrix implements ContactMatrixI
+{
+
+ SequenceI refSeq = null;
+
+ /**
+ * the length that refSeq is expected to be (excluding gaps, of course)
+ */
+ int length;
+
+ int maxrow = 0, maxcol = 0;
+
+ int[] indices1, indices2;
+
+ float[][] elements;
+
+ float maxscore;
+
+ @SuppressWarnings("unchecked")
+ public PAEContactMatrix(SequenceI _refSeq, Map<String, Object> pae_obj)
+ throws Exception
+ {
+ refSeq = _refSeq;
+ while (refSeq.getDatasetSequence() != null)
+ {
+ refSeq = refSeq.getDatasetSequence();
+ }
+ // convert the lists to primitive arrays and store
+ length = _refSeq.getEnd() - _refSeq.getStart() + 1;
+
+ if (!pae_obj.containsKey("predicted_aligned_error"))
+ {
+ parse_version_1_pAE(pae_obj);
+ return;
+ }
+ else
+ {
+ parse_version_2_pAE(pae_obj);
+ }
+ }
+
+ /**
+ * parse a sane JSON representation of the pAE
+ *
+ * @param pae_obj
+ */
+ private void parse_version_2_pAE(Map<String, Object> pae_obj)
+ {
+ elements = new float[length][length];
+ // this is never going to be reached by the integer rounding.. or is it ?
+ maxscore = ((Double) pae_obj.get("max_predicted_aligned_error"))
+ .floatValue();
+ Iterator<List<Long>> scoreRows = ((List<List<Long>>) pae_obj
+ .get("predicted_aligned_error")).iterator();
+ int row = 0, col = 0;
+ while (scoreRows.hasNext())
+ {
+ Iterator<Long> scores = scoreRows.next().iterator();
+ while (scores.hasNext())
+ {
+ elements[row][col++] = scores.next();
+ }
+ row++;
+ col = 0;
+ }
+ maxcol = length;
+ maxrow = length;
+ }
+
+ /**
+ * v1 format got ditched 28th July 2022 see
+ * https://alphafold.ebi.ac.uk/faq#:~:text=We%20updated%20the%20PAE%20JSON%20file%20format%20on%2028th%20July%202022
+ *
+ * @param pae_obj
+ */
+ private void parse_version_1_pAE(Map<String, Object> pae_obj)
+ {
+ // assume indices are with respect to range defined by _refSeq on the
+ // dataset refSeq
+ Iterator<Long> rows = ((List<Long>) pae_obj.get("residue1")).iterator();
+ Iterator<Long> cols = ((List<Long>) pae_obj.get("residue2")).iterator();
+ Iterator<Double> scores = ((List<Double>) pae_obj.get("distance"))
+ .iterator();
+
+ elements = new float[length][length];
+ while (scores.hasNext())
+ {
+ float escore = scores.next().floatValue();
+ int row = rows.next().intValue();
+ int col = cols.next().intValue();
+ if (maxrow < row)
+ {
+ maxrow = row;
+ }
+ if (maxcol < col)
+ {
+ maxcol = col;
+ }
+ elements[row - 1][col - 1] = escore;
+ }
+
+ maxscore = ((Double) pae_obj.get("max_predicted_aligned_error"))
+ .floatValue();
+ }
+
+ @Override
+ public ContactListI getContactList(final int _column)
+ {
+ if (_column < 0 || _column >= elements.length)
+ {
+ return null;
+ }
+
+ return new ContactListImpl(new ContactListProviderI()
+ {
+ @Override
+ public int getPosition()
+ {
+ return _column;
+ }
+
+ @Override
+ public int getContactHeight()
+ {
+ return maxcol - 1;
+ }
+
+ @Override
+ public double getContactAt(int column)
+ {
+ if (column < 0 || column >= elements[_column].length)
+ {
+ return -1;
+ }
+ // TODO Auto-generated method stub
+ return elements[_column][column];
+ }
+ });
+ }
+
+ @Override
+ public float getMin()
+ {
+ return 0;
+ }
+
+ @Override
+ public float getMax()
+ {
+ return maxscore;
+ }
+
+ @Override
+ public boolean hasReferenceSeq()
+ {
+ return (refSeq != null);
+ }
+
+ @Override
+ public SequenceI getReferenceSeq()
+ {
+ return refSeq;
+ }
+
+ @Override
+ public String getAnnotDescr()
+ {
+ return "Predicted Alignment Error for " + refSeq.getName();
+ }
+
+ @Override
+ public String getAnnotLabel()
+ {
+ return "pAE Matrix";
+
+ }
+}