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## Rounded cut-off points for IntervalDiscretizer do not work

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### Rounded cut-off points for IntervalDiscretizer do not work

I'm following the example in disc5.py to round cut-off points for an EquiNDiscretization discretizer. While the points of the discretizer are updated, it doesn't seem to apply them when selecting data.

Consider the output of the following modified disc5.py:
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`# Description: Shows how to round-off the cut-off points used for categorization.# Category:    preprocessing# Uses:        iris# Classes:     EquiNDiscretization, EntropyDiscretization# Referenced:  o_categorization.htmimport orangeiris = orange.ExampleTable("iris")equiN = orange.EquiNDiscretization(numberOfIntervals=4)entropy = orange.EntropyDiscretization()pl = equiN("petal length", iris)sl = equiN("sepal length", iris)sl_ent = entropy("sepal length", iris)points = pl.getValueFrom.transformer.pointspoints2 = map(lambda x:round(x), points)pl.getValueFrom.transformer.points = points2for attribute in [pl, sl, sl_ent]:  print "Cut-off points for", attribute.name, \    "are", attribute.getValueFrom.transformer.pointsiris = iris.select([pl, sl, sl_ent])for ex in iris[:10]:    print ex`

Output:
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`Cut-off points for D_petal length are <2.0, 4.0, 5.0>Cut-off points for D_sepal length are <5.15000009537, 5.84999990463, 6.44999980927>Cut-off points for D_sepal length are <5.5, 6.09999990463>['<=1.55', '<=5.15', '<=5.50']['<=1.55', '<=5.15', '<=5.50']['<=1.55', '<=5.15', '<=5.50']['<=1.55', '<=5.15', '<=5.50']['<=1.55', '<=5.15', '<=5.50']['<=1.55', '(5.15, 5.85]', '<=5.50']['<=1.55', '<=5.15', '<=5.50']['<=1.55', '<=5.15', '<=5.50']['<=1.55', '<=5.15', '<=5.50']['<=1.55', '<=5.15', '<=5.50']`

Note that the first column (D_petal length) is using 1.55 as a cut-off point, not the new 2.0 cut-off.

I'm working on a deadline here, so any help (no matter how terse/rude) is appreciated.