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All Samples(1)  |  Call(0)  |  Derive(0)  |  Import(1)
This takes anticorrelated samples from a sequence of data.
In other words, it tends to choose data that have not been seen
frequently before.   With blueness=1, it never shows a sample
n times until all samples have been shown n-1 times.

(Note that it is possible for an item to appear twice in sucession,
if it appears as the Nth item in a set of N, then appears as the first
item in the second set of N.)

src/g/m/gmisclib-0.73.0/matrix_rearrange_labels.py   gmisclib(Download)
 
import die
import blue_data_selector