Floating-Point Operations

function copysign(x1: ArrayLike, x2: ArrayLike | number): NDArray

import * as np from 'numpy-ts';

np.copysign([1, -2, 3], [-1, 1, -1]);
// array([-1, 2, -3])

// Broadcasting with a scalar
np.copysign([1, 2, 3], -1);
// array([-1, -2, -3])

function signbit(x: ArrayLike): NDArray

import * as np from 'numpy-ts';

np.signbit([-1, 0, 1, -0.0]);
// array([true, false, false, true])

np.signbit([-Infinity, Infinity]);
// array([true, false])

function nextafter(x1: ArrayLike, x2: ArrayLike | number): NDArray

import * as np from 'numpy-ts';

// Smallest float greater than 1.0
const eps = np.nextafter([1.0], [2.0]);
// array([1.0000000000000002])

// Largest float less than 1.0
const before = np.nextafter([1.0], [0.0]);
// array([0.9999999999999998])

function spacing(x: ArrayLike): NDArray

import * as np from 'numpy-ts';

np.spacing([1.0]);
// array([2.220446049250313e-16])  -- machine epsilon

np.spacing([1e10]);
// array([0.0000019073486328125])  -- larger spacing for larger values

function promote_types(dtype1: DType, dtype2: DType): DType

import * as np from 'numpy-ts';

np.promote_types('int32', 'float32');
// 'float64'

np.promote_types('int8', 'int16');
// 'int16'

np.promote_types('float32', 'float64');
// 'float64'

np.promote_types('bool', 'int32');
// 'int32'