Skip to content

Latest commit

 

History

History
98 lines (80 loc) · 3.29 KB

README.md

File metadata and controls

98 lines (80 loc) · 3.29 KB

Random.h

Pseudo-random number generator for EOS.IO via a single C++14 header file.

Since <random> is not available in EOS.IO, and they don't have good randomization primitives, we propose a simple pseudo-random number generator based on xoroshiro128+ for generation and splitmix64 for seed expansion.

Usage

To access the generator, all that is needed is to copy "Random.h" into the source folder and include it in the smart contract.

Seeding the generator

The pseudo-random number generator operates on a 64-bit seed, which must be supplied manually for best randomness. It could be via a random number or cryptographic hash value retrieved via smart contract parameters.

If the constructor Random::Random() is used then the seed will be accumulated from the EOS.IO Transactions as Proof-of-Stake (TAPOS) block number and prefix in order to provide randomness of some kind. However, it is not recommended to rely solely on this!

Examples:

Random gen; // Seeded with TAPOS block number and prefix.
gen.accumSeed(42); // Provide extra seed info via number 42.

// Seed using EOS.IO types.
checksum256 hash; // Assume already constructed.
gem.accumSeed(hash);

// Seed using initializer lists and general containers.
gem.accumSeedRange({1, 2, 3});
gem.accumSeedRange(std::string("Hello, World!"));
gem.accumSeedRange(std::vector<int>{1, 2, 3});

// Seed using arrays.
const int arr[3]{1, 2, 3};
gen.accumSeedArray(arr);

The following EOS.IO types are directly supported via Random::accumSeed():

  • checksum160
  • checksum256
  • checksum512
  • signature
  • public_key

They are defined in <eosiolib/types.h>.

Generating values

Once the generator has been seeded, there are four ways of generating random values:

  • uint64_t Random::next()
  • double Random::nextDouble()
  • uint64_t Random::nextInRange(const uint64_t min, const uint64_t max)
  • T Random::nextSample(const Container &population)

Examples:

Random gen;
gen.next(); // Value in [0, 18446744073709551615]
gen.nextDouble(); // Value in [0.0, 1.0[
gen.nextInRange(20, 50); // Value in [20, 50[
gen.nextSample(std::string("wasd")); // Value in ['w', 'a', 's', 'd']

Shuffling containers

General containers can be shuffled by using Random::shuffle():

Random gen;
std::string str("Hello, World!");
gen.shuffle(str);
// str has been reordered at this point.

Every element of the container is shuffled exactly once.

Sampling from a population

General containers can be used for sampling a number of values from:

Random gen;
const std::string pop("abcdef");
const sample = gen.sample(10, pop);
// sample contains 10 randomly selected values from pop at this point.

Testing

A simple test suite can be compiled and executed like this:

% make tests && ./tests

If a test fails it might look like the following:

% ./tests
Assertion failed in file tests.cc, line 120, func testNext():
  expected 849456367364724273
  got      7364724273
make: *** [test] Abort trap: 6