Comments (4)
Thank you for the ticket. Could you try using the alternative floating-point preprocessing algorithm by changing the import line to:
from fldr.fldrf import fldr_preprocess_float_c as fldrf_preprocess
The issue in this ticket is due to a bug in what seems to be the Python 3 math
library
>>> from math import log2
>>> ceil(log2(36028797018963970))
55
whereas true answer should be 56
from fast-loaded-dice-roller.
Thanks, verified that the alternative produces sensible sampled values.
from fast-loaded-dice-roller.
An alternative to ceil(log2(x))
is (x-1).bit_length()
(which works for all integers 1 or greater).
from fast-loaded-dice-roller.
Thanks @peteroupc, I have incorporated your suggestion in 2fb32e9
from fast-loaded-dice-roller.
Related Issues (7)
- Support target distributions specified as floating-point numbers (Python)
- Support target distributions specified as floating-point numbers (C)
- Sampling with floating-point distributions seems to be significantly slower HOT 3
- Consider dividing integer weights by their GCD HOT 1
- Implement various minor optimizations in fldr_preprocess
- FLDR seems to be slow in Java
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