Basic Random Functions

function random(size?: number | number[]): NDArray | number

import * as np from 'numpy-ts';

np.random.seed(42);

// Single value
const x = np.random.random();

// 1-D array
const a = np.random.random(5);
// array([...])  shape [5]

// 2-D array
const b = np.random.random([3, 4]);
// array([...])  shape [3, 4]

function rand(...shape: number[]): NDArray | number

import * as np from 'numpy-ts';

const a = np.random.rand(2, 3);
// array([...])  shape [2, 3]

function randn(...shape: number[]): NDArray | number

import * as np from 'numpy-ts';

const a = np.random.randn(1000);
// 1000 standard-normal samples

function randint(
  low: number,
  high?: number | null,
  size?: number | number[],
  dtype?: DType
): NDArray | number

import * as np from 'numpy-ts';

// 0 to 9
const a = np.random.randint(10);

// 5 to 14, shape [2, 3]
const b = np.random.randint(5, 15, [2, 3]);

function random_sample(size?: number | number[]): NDArray | number

function ranf(size?: number | number[]): NDArray | number

function sample(size?: number | number[]): NDArray | number

function random_integers(
  low: number,
  high?: number,
  size?: number | number[]
): NDArray | number

import * as np from 'numpy-ts';

// Random integers from 1 to 6 (inclusive), like a die roll
const die = np.random.random_integers(1, 6, [10]);

function bytes(length: number): Uint8Array

import * as np from 'numpy-ts';

const b = np.random.bytes(16);
// Uint8Array of 16 random bytes

function choice(
  a: number | ArrayLike,
  size?: number | number[],
  replace?: boolean,
  p?: ArrayLike
): NDArray | number

function permutation(x: number | ArrayLike): NDArray

function shuffle(x: ArrayLike): void