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-rw-r--r--resources/libraries/python/jumpavg/bit_counting_stats.py11
1 files changed, 7 insertions, 4 deletions
diff --git a/resources/libraries/python/jumpavg/bit_counting_stats.py b/resources/libraries/python/jumpavg/bit_counting_stats.py
index caece2c8ca..3d1cb8aef0 100644
--- a/resources/libraries/python/jumpavg/bit_counting_stats.py
+++ b/resources/libraries/python/jumpavg/bit_counting_stats.py
@@ -97,10 +97,13 @@ class BitCountingStats(AvgStdevStats):
if self.size < 2:
return
stdev = self.stdev / self.unit
- # Stdev is considered to be uniformly distributed
- # from zero to max_value. That is quite a bad expectation,
- # but resilient to negative samples etc.
- self.bits += math.log(max_value + 1, 2)
+ # Stdev can be anything between zero and max value.
+ # For size==2, sphere surface is 2 points regardless of radius,
+ # we need to penalize large stdev already when encoding the stdev.
+ # The simplest way is to use the same distribution as with size...
+ self.bits += math.log((stdev + 1) * (stdev + 2), 2)
+ # .. just with added normalization from the max value cut-off.
+ self.bits += math.log(1 - 1 / (max_value + 2), 2)
# Now we know the samples lie on sphere in size-1 dimensions.
# So it is (size-2)-sphere, with radius^2 == stdev^2 * size.
# https://en.wikipedia.org/wiki/N-sphere