1ada9064e6
Lennart suggested to use a more uniform algorithm for
the picking of the hostname words that is not biased
for long words by just (predictably) randomly going over
the offsets until we land on a word boundary. This is a
very nice suggestion so this commit implements it with
a fallback to the "old" behavior if we do not find a
word boundary within a reasonable amount of attempts.
A small python script shows that 64 iterations plus
fallback is a good number:
```
$ python3 simulate-hostname-pick.py 64
hostname-wordlist/adverbs
words=261 p_accept=0.1119 avg_bytes/word=1/p=8.94
max_iterations=64, n_trials=1000000
fallback rate : 0.051000% (510/1_000_000)
mean seeks per word : 8.93
hostname-wordlist/adjectives
words=449 p_accept=0.1380 avg_bytes/word=1/p=7.24
max_iterations=64, n_trials=1000000
fallback rate : 0.007500% (75/1_000_000)
mean seeks per word : 7.25
hostname-wordlist/nouns
words=449 p_accept=0.1472 avg_bytes/word=1/p=6.79
max_iterations=64, n_trials=1000000
fallback rate : 0.002700% (27/1_000_000)
mean seeks per word : 6.79
```
Combined with the fallback to the previous method if
we can't find anything within the 64 attemps this seems
to be the best tradeoff and give us very good uniformity.
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