value conversion bug for relatively large numbers

I was trying to create data tables from Python list of list. I found that there was a problem with importing the values correctly for some relatively large numbers. It seemed that there was bug when creating a Continunous Value with relatively large numbers. For example

Orange.data.Value(Orange.feature.Continuous(),308632021)

This construction will give me the following Value:

It seems that for relatively large numbers, the conversion would usually be wrong but in a way that is not like an overflow.

Start by reproducing the reported conversion with Orange.data.Value, Orange.feature.Continuous(), and 308632021, then inspect the value-conversion path used when creating data tables from Python lists. Done means the continuous value preserves the input number instead of producing 308632032.000, with a regression test covering relatively large numbers.

Written by the indexing model from the issue text.