do_count(): Cyclic solution optimization #1481
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Also consolidate the pseudocount comments.
This allows to easily compare traces of different branches when the code is still similar but the line number of the do_count() invocations are different.
Legend:
E entry
L left
R right
I iland
C cyclic
The debug output is now in the form:
E do_count:1 lw=-1 rw=15 le=(nil)(-1) re=(nil)(15) null_count=1
I do_count:2 lw=0 rw=15 le=RW(256) re=(nil)(15) null_count=0
ccount[0] L do_count:3 lw=0 rw=14 le=hWa(257) re=(nil)(14) null_count=0
ccount[0] L do_count:4 lw=0 rw=1 le=(nil)(0) re=(nil)(1) null_count=0
L return:4=1
l_bnr C do_count:4 lw=1 rw=14 le=(nil)(1) re=(nil)(14) null_count=0
C return:4=0
ccount[0] L do_count:4 lw=0 rw=2 le=(nil)(0) re=A(259) null_count=0
ccount[0] R do_count:5 lw=1 rw=2 le=(nil)(1) re=(nil)(2) null_count=0
R return:5=1
ccount[2] R do_count:5 lw=1 rw=2 le=(nil)(1) re=A(259) null_count=0
R return:5=0
L return:4=1
l_bnr C do_count:4 lw=2 rw=14 le=(nil)(2) re=(nil)(14) null_count=0
C return:4=0
ccount[0] L do_count:4 lw=0 rw=2 le=(nil)(0) re=Dm(262) null_count=0
L return:4=1
ccount[0] L do_count:4 lw=0 rw=9 le=(nil)(0) re=Ds(302) null_count=0
ccount[0] R do_count:5 lw=8 rw=9 le=(nil)(8) re=(nil)(9) null_count=0
R return:5=1
r_bnl C do_count:5 lw=0 rw=8 le=(nil)(0) re=(nil)(8) null_count=0
C return:5=0
L return:4=0
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Prevent unneeded CPU and memory overhead by applying pseudocount also to the cyclic solutions.
In the same occasion: