public void parseGroup(Group g) throws Hdf5Exception, EndOfSequenceException {
startGroup(g);
java.util.List members = g.getMemberList();
// NOTE: parsing contents twice to ensure subgroups are handled before datasets
// This is mainly because synapse_props groups will need to be parsed before dataset of
// connections
for (int j = 0; j < members.size(); j++) {
HObject obj = (HObject) members.get(j);
if (obj instanceof Group) {
Group subGroup = (Group) obj;
logger.logComment("--------- Found a sub group: " + subGroup.getName());
parseGroup(subGroup);
}
}
for (int j = 0; j < members.size(); j++) {
HObject obj = (HObject) members.get(j);
if (obj instanceof Dataset) {
Dataset ds = (Dataset) obj;
logger.logComment("Found a dataset: " + ds.getName());
dataSet(ds);
}
}
endGroup(g);
}
public void dataSet(Dataset d) throws Hdf5Exception {
logger.logComment("----- Looking through dataset: " + d);
ArrayList<Attribute> attrs = Hdf5Utils.parseDatasetForAttributes(d);
for (Attribute attribute : attrs) {
logger.logComment(
"Dataset: "
+ d.getName()
+ " has attribute: "
+ attribute.getName()
+ " = "
+ Hdf5Utils.getFirstStringValAttr(attrs, attribute.getName()));
}
float[][] data = Hdf5Utils.parse2Ddataset(d);
logger.logComment("Data has size: (" + data.length + ", " + data[0].length + ")");
if (inPopulations && currentCellGroup != null) {
for (int i = 0; i < data.length; i++) {
int id = (int) data[i][0];
float x = data[i][1];
float y = data[i][2];
float z = data[i][3];
PositionRecord posRec = new PositionRecord(id, x, y, z);
if (data[0].length == 5) {
posRec.setNodeId((int) data[i][4]);
}
this.project.generatedCellPositions.addPosition(currentCellGroup, posRec);
}
}
if (inProjections && currentNetConn != null) {
logger.logComment("Adding info for NetConn: " + currentNetConn);
int id_col = -1;
int pre_cell_id_col = -1;
int pre_segment_id_col = -1;
int pre_fraction_along_col = -1;
int post_cell_id_col = -1;
int post_segment_id_col = -1;
int post_fraction_along_col = -1;
int prop_delay_col = -1;
for (Attribute attribute : attrs) {
String storedInColumn = Hdf5Utils.getFirstStringValAttr(attrs, attribute.getName());
if (storedInColumn.equals(NetworkMLConstants.CONNECTION_ID_ATTR)) {
id_col = Integer.parseInt(attribute.getName().substring("column_".length()));
logger.logComment("id col: " + id_col);
} else if (storedInColumn.equals(NetworkMLConstants.PRE_CELL_ID_ATTR)) {
pre_cell_id_col = Integer.parseInt(attribute.getName().substring("column_".length()));
} else if (storedInColumn.equals(NetworkMLConstants.PRE_SEGMENT_ID_ATTR)) {
pre_segment_id_col = Integer.parseInt(attribute.getName().substring("column_".length()));
logger.logComment("pre_segment_id_col: " + pre_segment_id_col);
} else if (storedInColumn.equals(NetworkMLConstants.PRE_FRACT_ALONG_ATTR)) {
pre_fraction_along_col =
Integer.parseInt(attribute.getName().substring("column_".length()));
logger.logComment("pre_fraction_along_col: " + pre_fraction_along_col);
} else if (storedInColumn.equals(NetworkMLConstants.POST_CELL_ID_ATTR)) {
post_cell_id_col = Integer.parseInt(attribute.getName().substring("column_".length()));
} else if (storedInColumn.equals(NetworkMLConstants.POST_SEGMENT_ID_ATTR)) {
post_segment_id_col = Integer.parseInt(attribute.getName().substring("column_".length()));
} else if (storedInColumn.equals(NetworkMLConstants.POST_FRACT_ALONG_ATTR)) {
post_fraction_along_col =
Integer.parseInt(attribute.getName().substring("column_".length()));
} else if (storedInColumn.startsWith(NetworkMLConstants.PROP_DELAY_ATTR)) {
prop_delay_col = Integer.parseInt(attribute.getName().substring("column_".length()));
}
for (String synType : getConnectionSynTypes()) {
if (storedInColumn.endsWith(synType)) {
ConnSpecificProps cp = null;
for (ConnSpecificProps currCp : localConnProps) {
if (currCp.synapseType.equals(synType)) cp = currCp;
}
if (cp == null) {
cp = new ConnSpecificProps(synType);
cp.internalDelay = -1;
cp.weight = -1;
localConnProps.add(cp);
}
if (storedInColumn.startsWith(NetworkMLConstants.INTERNAL_DELAY_ATTR)) {
cp.internalDelay =
Integer.parseInt(
attribute
.getName()
.substring("column_".length())); // store the col num temporarily..
}
if (storedInColumn.startsWith(NetworkMLConstants.WEIGHT_ATTR)) {
cp.weight =
Integer.parseInt(
attribute
.getName()
.substring("column_".length())); // store the col num temporarily..
}
}
}
}
for (int i = 0; i < data.length; i++) {
int pre_seg_id = 0;
float pre_fract_along = 0.5f;
int post_seg_id = 0;
float post_fract_along = 0.5f;
int id = (int) data[i][id_col];
int pre_cell_id = (int) data[i][pre_cell_id_col];
int post_cell_id = (int) data[i][post_cell_id_col];
float prop_delay = 0;
if (pre_segment_id_col >= 0) pre_seg_id = (int) data[i][pre_segment_id_col];
if (pre_fraction_along_col >= 0) pre_fract_along = data[i][pre_fraction_along_col];
if (post_segment_id_col >= 0) post_seg_id = (int) data[i][post_segment_id_col];
if (post_fraction_along_col >= 0) post_fract_along = data[i][post_fraction_along_col];
// (float)UnitConverter.getTime(XXXXXXXXX, UnitConverter.NEUROCONSTRUCT_UNITS,
// unitSystem)+"";
if (prop_delay_col >= 0)
prop_delay =
(float)
UnitConverter.getTime(
data[i][prop_delay_col], projUnitSystem, UnitConverter.NEUROCONSTRUCT_UNITS);
ArrayList<ConnSpecificProps> props = new ArrayList<ConnSpecificProps>();
if (localConnProps.size() > 0) {
for (ConnSpecificProps currCp : localConnProps) {
logger.logComment("Pre cp: " + currCp);
ConnSpecificProps cp2 = new ConnSpecificProps(currCp.synapseType);
if (currCp.internalDelay > 0) // index was stored in this val...
cp2.internalDelay =
(float)
UnitConverter.getTime(
data[i][(int) currCp.internalDelay],
projUnitSystem,
UnitConverter.NEUROCONSTRUCT_UNITS);
if (currCp.weight > 0) // index was stored in this val...
cp2.weight = data[i][(int) currCp.weight];
logger.logComment("Filled cp: " + cp2);
props.add(cp2);
}
}
this.project.generatedNetworkConnections.addSynapticConnection(
currentNetConn,
GeneratedNetworkConnections.MORPH_NETWORK_CONNECTION,
pre_cell_id,
pre_seg_id,
pre_fract_along,
post_cell_id,
post_seg_id,
post_fract_along,
prop_delay,
props);
}
}
if (inInputs && currentInput != null) {
logger.logComment("Adding info for: " + currentInput);
StimulationSettings nextStim = project.elecInputInfo.getStim(currentInput);
ElectricalInput myElectricalInput = nextStim.getElectricalInput();
String electricalInputType = myElectricalInput.getType();
String cellGroup = nextStim.getCellGroup();
for (int i = 0; i < data.length; i++) {
Float fileCellId = data[i][0];
Float fileSegmentId = data[i][1];
Float fractionAlong = data[i][2];
int cellId = fileCellId.intValue();
int segmentId = fileSegmentId.intValue();
SingleElectricalInput singleElectricalInputFromFile =
new SingleElectricalInput(
electricalInputType, cellGroup, cellId, segmentId, fractionAlong, null);
this.project.generatedElecInputs.addSingleInput(
currentInput, singleElectricalInputFromFile);
}
}
}