# label: Remove Overlaps and Gaps
#description: remove the overlaps and gaps by resorting all the 
#rows.  The relative sizes are preserved.

cc= dom.canvases[0].controller
rows= dom.canvases[0].rows

weights = [None]*len(rows)  # in per milli.

totalWeight = 0.

# allocate arrays with len(rows) elements
mins= [0.]*len(rows)
maxs= [0.]*len(rows)
count= [0]*len(rows)

from org.das2.graph import DasDevicePosition

for i in range(len(rows)):
    nmin = DasDevicePosition.parseFormatStr(rows[i].getTop())[0];
    nmax = DasDevicePosition.parseFormatStr(rows[i].getBottom())[0];
    mins[i]= nmin;
    maxs[i]= nmax;
    weights[i] = (nmax - nmin) * 1000
    totalWeight += weights[i]

# normalize to per thousand.
for i in range( len(rows)):
    weights[i] = 1000. * weights[i] / totalWeight;
totalWeight = 1000

t = 0

for idx in range( len(rows)):
    dasRow = rows[idx].controller.getDasRow()
    dasRow.setMinimum(1. * t / totalWeight)
    dasRow.setMaximum(1. * (t + weights[idx]) / totalWeight)
    t += weights[idx]