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This is not in the output yet, but it will be soon - printing it is
another task since I want colours in my output.
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(or, as exact as possible within a float64 - I only do one float
division, and everything else is a uint, so I think this means I will
get the closest available float64 value every time)
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This ensures the output can fit into a uint64. Also, calculating it at
this stage is slow, and not calculating it can make the program nearly
instant even for very large numbers!
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This type measures which kind of classes each radix is a part of:
- Colossally Abundant (OEIS: A004490; factor score better than every
other number if you account for size be dividing by a certain power of
the number)
- Superabundant (OEIS: A004394; factor score better than every smaller
number)
- Ordered-Exponent (OEIS: A025487; exponents in prime factorization go
down as you get to bigger primes, and no prime is skipped)
- Practical (OEIS: A005153; factors can sum to any number below the
original number without duplication)
Each of these groups is a subset of the next, so only the most specific
label is reported.
The purpose of this program is to give you useful info to help you
determine which radices are the best, and these categories give a rough,
quantitative measure of how useful a radix's factors are:
- Practical is approximately the minimum requirement for a worthwhile
radix. Non-practical radices above ~16 are probably terrible to use.
- Ordered-Exponent radices act like local maxima - you can't get any
better (smaller) without changing the "shape" (exponents) of your prime
factorization.
- Superabundant radices are the best radices below the next
superabundant number (e.g. 12 is the best radix below 24).
- Colossally abundant radices are, in some sense, the best radices out of
all numbers.
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(MTC = Multiplication Table Complexity)
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Use methods from the new slices and maps modules to make my code faster
and more compact.
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I can now use the function tableTest() to create a new test in one or
two lines of code! No more need to rewrite basically the same code ten
times...
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