def collapseTargets(self):
"""
Updates _matrix s.t. all cols of the same label get collapsed to a single col.
"""
if self._targetsCollapsed:
return
self._targetsCollapsed = True
targetTypes = utils.getNodesTypes(self._nodes, self._graph)
newMatrix = []
# Initialize newMatrix
for i in range(0, len(self._matrix)):
newRow = []
for j in range(0, len(targetTypes)):
newRow.append([])
newMatrix.append(newRow)
# Populate new matrix
for i in range(0, len(self._matrix)):
row = self._matrix[i]
for j in range(0, len(row)):
col = row[j]
if len(col) > 0:
colType = utils.getNodeType(self._nodes[j], self._graph)
colIndex = targetTypes.index(colType)
newMatrix[i][colIndex] += col
self._matrix = copy.deepcopy(newMatrix)
self._colLabels = targetTypes
def collapseSources(self):
"""
Updates _matrix s.t. all rows of the same label get collapsed to a single row.
"""
if self._sourcesCollapsed:
return
sourceTypes = utils.getNodesTypes(self._nodes, self._graph)
newMatrix = []
newCols = []
for node in self._nodes:
newCols.append(utils.getNodeId(node, self._graph))
for sourceType in sourceTypes:
newRow = [[] for node in self._nodes]
for i in range(0, len(self._matrix)):
rowType = utils.getNodeType(self._nodes[i], self._graph)
row = self._matrix[i]
if rowType == sourceType:
for j in range(0, len(row)):
col = row[j]
if len(col) > 0:
newRow[j] += col
newMatrix.append(newRow)
self._matrix = copy.deepcopy(newMatrix)
self._colLabels = newCols
self._rowLabels = sourceTypes