/*
* @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;