/* * @license Apache-2.0 * * Copyright (c) 2021 The Stdlib Authors. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ // TypeScript Version: 4.1 /// import { Collection } from '@stdlib/types/array'; /** * Interface describing `normalize`. */ interface Normalize { /** * Returns a normal number `y` and exponent `exp` satisfying \\(x = y \cdot 2^\mathrm{exp}\\). * * ## Notes * * - The first element of the returned array corresponds to `y` and the second element to `exp`. * * @param x - input value * @returns output array * * @example * var pow = require( '@stdlib/math-base-special-pow' ); * * var out = normalize( 3.14e-319 ); * // returns [ 1.4141234400356668e-303, -52 ] * * var y = out[ 0 ]; * var exponent = out[ 1 ]; * * var bool = ( y*pow(2.0, exponent) === 3.14e-319 ); * // returns true * * @example * var out = normalize( 0.0 ); * // returns [ 0.0, 0 ] * * @example * var PINF = require( '@stdlib/constants-float64-pinf' ); * * var out = normalize( PINF ); * // returns [ Infinity, 0 ] * * @example * var NINF = require( '@stdlib/constants-float64-ninf' ); * * var out = normalize( NINF ); * // returns [ -Infinity, 0 ] * * @example * var out = normalize( NaN ); * // returns [ NaN, 0 ] */ ( x: number ): Array; /** * Returns a normal number and exponent satisfying `x = y * 2^exp` and assigns results to a provided output array. * * ## Notes * * - The first element of the returned array corresponds to `y` and the second element to `exp`. * * @param x - input value * @param out - output array * @param stride - output array stride * @param offset - output array index offset * @returns output array * * @example * var out = new Float64Array( 2 ); * * var v = normalize.assign( 3.14e-319, out, 1, 0 ); * // returns [ 1.4141234400356668e-303, -52 ] * * var bool = ( v === out ); * // returns true */ assign( x: number, out: Collection, stride: number, offset: number ): Collection; } /** * Returns a normal number `y` and exponent `exp` satisfying \\(x = y \cdot 2^\mathrm{exp}\\). * * ## Notes * * - The first element of the returned array corresponds to `y` and the second to `exp`. * * @param x - input value * @returns output array * * @example * var pow = require( '@stdlib/math-base-special-pow' ); * * var out = normalize( 3.14e-319 ); * // returns [ 1.4141234400356668e-303, -52 ] * * var y = out[ 0 ]; * var exponent = out[ 1 ]; * * var bool = ( y*pow(2.0, exponent) === 3.14e-319 ); * // returns true */ declare var normalize: Normalize; // EXPORTS // export = normalize;