Note:
global random state is indenpendent from Nim's std/random's
Note:
random() algorithm differs Python's, meaning the same seed produces different result
TODO: PyRandom uses method; impl SysRandom TODO: commandLine pysince(3,13)
Procs
func triangular[F: SomeFloat](self: PyRandom; low: F = 0.0; high: F = 1.0; mode: F | NoneType = None): F
- Source Edit
Templates
template triangular[F: SomeFloat](low: F = 0.0; high: F = 1.0; mode: F | NoneType = None): F
- Source Edit
Exports
-
weibullvariate, uniform, guass, shuffle, choice, expovariate, lognormalvariate, randrange, expovariate, setstate, Random, random, guass, seed, shuffle, paretovariate, random, PyRandomState, sample, randint, lognormalvariate, choice, genrand_uint32, normalvariate, vonmisesvariate, randrange, randrange, PyRandom, paretovariate, randrange, sample, setstate, weibullvariate, binomialvariate, randrange, index, seed, genrand_uint32, vonmisesvariate, getrandbits, randrange, shuffleImpl, getstate, randrange, normalvariate, uniform, getrandbits, sample, Random, randint, betavariate, randrange, sample, gammavariate, binomialvariate, getstate, randbelow, betavariate, gammavariate, randbelow