The droprate crate aims to be a drop-in solution for picking options from
a weighted list of possibilities.
While naive random number generation to pick from some list of traits is
pretty easy to implement as-needed, it doesn't take long to run into scenarios
where this solution provides suboptimal results.
In a card game, you may want to simulate a deck of cards being shuffled, which
means that the odds of each card becomes zero once it's been pulled from the
deck.
| FairlyRandomTable | FairlyRandomTable aims to create results which a human might create when
asked to create a random sequence from a weighted table. It is human nature
to generate a more evenly-distributed list of random values because we are
aware of the the history of options chosen.
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| RandomTable | RandomTable represents a table of options and their relative weights. The
odds of any option being selected is option's weight / all options' weights.
This is a typical implementation of random tables in software and games as
each trial runs independent of other trials which may have happened in the
past. As such, it is perfectly valid for an option with 50% odds to be
selected many times in a row. (It's an outcome which becomes statistically
less likely to have happened, but nevertheless if you have 5 in a row, the
next trial is still a 50% chance.)
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