time-to-botec/squiggle/node_modules/@stdlib/assert/is-unity-probability-array/lib/main.js
NunoSempere b6addc7f05 feat: add the node modules
Necessary in order to clearly see the squiggle hotwiring.
2022-12-03 12:44:49 +00:00

91 lines
2.1 KiB
JavaScript

/**
* @license Apache-2.0
*
* Copyright (c) 2018 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.
*/
'use strict';
// MODULES //
var isTypedArray = require( './../../is-typed-array' );
var isArray = require( './../../is-array' );
var isNumber = require( './../../is-number' ).isPrimitive;
var absdiff = require( '@stdlib/math/base/utils/absolute-difference' );
var FLOAT64_SQRT_EPS = require( '@stdlib/constants/float64/sqrt-eps' );
// MAIN //
/**
* Tests if a value is an array of probabilities that sum to one.
*
* @param {*} v - value to test
* @returns {boolean} boolean indicating if a value is a probability array
*
* @example
* var bool = isUnityProbabilityArray( [ 0.25, 0.5, 0.25 ] );
* // returns true
*
* @example
* var bool = isUnityProbabilityArray( new Uint8Array( [ 0, 1 ] ) );
* // returns true
*
* @example
* var bool = isUnityProbabilityArray( [ 0.4, 0.4, 0.4 ] );
* // returns false
*
* @example
* var bool = isUnityProbabilityArray( [ 3.14, 0.0 ] );
* // returns false
*/
function isUnityProbabilityArray( v ) {
var sum;
var i;
if ( isArray( v ) ) {
sum = 0.0;
for ( i = 0; i < v.length; i++ ) {
if (
!isNumber( v[ i ] ) ||
v[ i ] > 1.0 ||
v[ i ] < 0.0
) {
return false;
}
sum += v[ i ];
}
return ( absdiff( sum, 1.0 ) <= FLOAT64_SQRT_EPS );
}
if ( isTypedArray( v ) ) {
sum = 0.0;
for ( i = 0; i < v.length; i++ ) {
if (
v[ i ] > 1.0 ||
v[ i ] < 0.0
) {
return false;
}
sum += v[ i ];
}
return ( absdiff( sum, 1.0 ) <= FLOAT64_SQRT_EPS );
}
return false;
}
// EXPORTS //
module.exports = isUnityProbabilityArray;