time-to-botec

Benchmark sampling in different programming languages
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main.js (2044B)


      1 /**
      2 * @license Apache-2.0
      3 *
      4 * Copyright (c) 2018 The Stdlib Authors.
      5 *
      6 * Licensed under the Apache License, Version 2.0 (the "License");
      7 * you may not use this file except in compliance with the License.
      8 * You may obtain a copy of the License at
      9 *
     10 *    http://www.apache.org/licenses/LICENSE-2.0
     11 *
     12 * Unless required by applicable law or agreed to in writing, software
     13 * distributed under the License is distributed on an "AS IS" BASIS,
     14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     15 * See the License for the specific language governing permissions and
     16 * limitations under the License.
     17 */
     18 
     19 'use strict';
     20 
     21 // MODULES //
     22 
     23 var fcn = require( './normalize.js' );
     24 
     25 
     26 // MAIN //
     27 
     28 /**
     29 * Returns a normal number `y` and exponent `exp` satisfying \\(x = y \cdot 2^\mathrm{exp}\\).
     30 *
     31 * @param {(Array|TypedArray|Object)} [out] - output array
     32 * @param {number} x - input value
     33 * @returns {(Array|TypedArray|Object)} output array
     34 *
     35 * @example
     36 * var pow = require( '@stdlib/math/base/special/pow' );
     37 *
     38 * var out = normalize( [ 0.0, 0 ], 3.14e-319 );
     39 * // returns [ 1.4141234400356668e-303, -52 ]
     40 *
     41 * var y = out[ 0 ];
     42 * var exp = out[ 1 ];
     43 *
     44 * var bool = ( y*pow(2.0,exp) === 3.14e-319 );
     45 * // returns true
     46 *
     47 * @example
     48 * var Float64Array = require( '@stdlib/array/float64' );
     49 * var pow = require( '@stdlib/math/base/special/pow' );
     50 *
     51 * var out = new Float64Array( 2 );
     52 *
     53 * var v = normalize( out, 3.14e-319 );
     54 * // returns <Float64Array>[ 1.4141234400356668e-303, -52 ]
     55 *
     56 * var bool = ( v === out );
     57 * // returns true
     58 *
     59 * @example
     60 * var out = normalize( [ 0.0, 0 ], 0.0 );
     61 * // returns [ 0.0, 0 ]
     62 *
     63 * @example
     64 * var out = normalize( [ 0.0, 0 ], Infinity );
     65 * // returns [ Infinity, 0 ]
     66 *
     67 * @example
     68 * var out = normalize( [ 0.0, 0 ], -Infinity );
     69 * // returns [ -Infinity, 0 ]
     70 *
     71 * @example
     72 * var out = normalize( [ 0.0, 0 ], NaN );
     73 * // returns [ NaN, 0 ]
     74 */
     75 function normalize( out, x ) {
     76 	if ( arguments.length === 1 ) {
     77 		return fcn( [ 0.0, 0 ], out );
     78 	}
     79 	return fcn( out, x );
     80 }
     81 
     82 
     83 // EXPORTS //
     84 
     85 module.exports = normalize;