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012c67a7eb
- Go back to the old method of computing the mantissa, but when post processing, expand the mantissa to slightly larger than maxMantissa, then in doRoundDown, if the result is not exact, subtract one. Finally, let doNormalize figure out the rounding of the result.
Basics
Utility functions and classes.
The module xrpl/basics should contain no dependencies on other modules.
Choosing an xrpld container.
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std::vector- For ordered containers with most insertions or erases at the end.
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std::deque- For ordered containers with most insertions or erases at the start or end.
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std::list- For ordered containers with inserts and erases to the middle.
- For containers with iterators stable over insert and erase.
- Generally slower and bigger than
std::vectororstd::dequeexcept for those cases.
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std::set- For sorted containers.
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xrpl::hash_set- Where inserts and contains need to be O(1).
- For "small" sets,
std::setmight be faster and smaller.
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xrpl::hardened_hash_set- For data sets where the key could be manipulated by an attacker in an attempt to mount an algorithmic complexity attack: see http://en.wikipedia.org/wiki/Algorithmic_complexity_attack
The following container is deprecated
std::unordered_set- Use
xrpl::hash_setinstead, which uses a better hashing algorithm. - Or use
xrpl::hardened_hash_setto prevent algorithmic complexity attacks.