Source Edit

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)

Imports

n_random

Procs

func choice[T](self: PyRandom; ls: Sequence[T]): T: Source Edit
func choices[T](self: PyRandom; population: Sequence[T]; weights: NoneType | Sequence[T] = None; cum_weights: NoneType | Sequence[T] = None; k = 1): PyList[T]: Source Edit
func randbytes(self: PyRandom; n: int): PyBytes {....raises: [Exception], tags: [RootEffect], forbids: [].}: Admonition: since Python 3.9
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func sample[T](self: PyRandom; population: Sequence[T]; k: int): PyList[T]: Source Edit
func sample[T](self: PyRandom; population: Sequence[T]; k: int; counts: Sequence[T]): PyList[T]: Admonition: since Python 3.9
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proc seed(self: PyRandom; _: NoneType) {....raises: [Exception], tags: [RootEffect], forbids: [].}: Source Edit
proc seed(self: PyRandom; val: int64) {....raises: [Exception], tags: [RootEffect], forbids: [].}: Source Edit
func shuffle[T](self: PyRandom; x: var PyList[T]): Source Edit
func triangular[F: SomeFloat](self: PyRandom; low: F = 0.0; high: F = 1.0; mode: F | NoneType = None): F: Source Edit

template choice[T](ls: Sequence[T]): T: Source Edit
template choices[T](population: Sequence[T]; weights: NoneType | Sequence[T] = None; cum_weights: NoneType | Sequence[T] = None; k = 1): PyList[T]: Source Edit
template randbytes(n: int): PyBytes: Source Edit
template sample[T](population: Sequence[T]; k: int): PyList[T]: Source Edit
template sample[T](population: Sequence[T]; k: int; counts: Sequence[T]): PyList[ T]: Source Edit
template seed(_: NoneType): Source Edit
template seed(val: int64): Source Edit
template shuffle[T](x: var PyList[T]): Source Edit
template triangular[F: SomeFloat](low: F = 0.0; high: F = 1.0; mode: F | NoneType = None): F: Source Edit