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/**
* @license Apache-2.0
*
* Copyright (c) 2020 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 tape = require( 'tape' );
var floor = require( '@stdlib/math/base/special/floor' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var Float32Array = require( '@stdlib/array/float32' );
var snanmean = require( './../lib/ndarray.js' );
// TESTS //
tape( 'main export is a function', function test( t ) {
t.ok( true, __filename );
t.strictEqual( typeof snanmean, 'function', 'main export is a function' );
t.end();
});
tape( 'the function has an arity of 4', function test( t ) {
t.strictEqual( snanmean.length, 4, 'has expected arity' );
t.end();
});
tape( 'the function calculates the arithmetic mean of a strided array, ignoring `NaN` values', function test( t ) {
var x;
var v;
x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ] );
v = snanmean( x.length, x, 1, 0 );
t.strictEqual( v, 0.5, 'returns expected value' );
x = new Float32Array( [ -4.0, NaN ] );
v = snanmean( x.length, x, 1, 0 );
t.strictEqual( v, -4.0, 'returns expected value' );
x = new Float32Array( [ NaN, NaN ] );
v = snanmean( x.length, x, 1, 0 );
t.strictEqual( isnan( v ), true, 'returns expected value' );
t.end();
});
tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) {
var x;
var v;
x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
v = snanmean( 0, x, 1, 0 );
t.strictEqual( isnan( v ), true, 'returns expected value' );
v = snanmean( -1, x, 1, 0 );
t.strictEqual( isnan( v ), true, 'returns expected value' );
t.end();
});
tape( 'if provided an `N` parameter equal to `1`, the function returns the first indexed element', function test( t ) {
var x;
var v;
x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
v = snanmean( 1, x, 1, 0 );
t.strictEqual( v, 1.0, 'returns expected value' );
t.end();
});
tape( 'the function supports a `stride` parameter', function test( t ) {
var N;
var x;
var v;
x = new Float32Array([
1.0, // 0
2.0,
2.0, // 1
-7.0,
-2.0, // 2
3.0,
4.0, // 3
2.0,
NaN // 4
]);
N = floor( x.length / 2 );
v = snanmean( N, x, 2, 0 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
});
tape( 'the function supports a negative `stride` parameter', function test( t ) {
var N;
var x;
var v;
x = new Float32Array([
1.0, // 4
2.0,
2.0, // 3
-7.0,
-2.0, // 2
3.0,
4.0, // 1
2.0,
NaN // 0
]);
N = floor( x.length / 2 );
v = snanmean( N, x, -2, 6 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
});
tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', function test( t ) {
var x;
var v;
x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
v = snanmean( x.length, x, 0, 0 );
t.strictEqual( v, 1.0, 'returns expected value' );
t.end();
});
tape( 'the function supports an `offset` parameter', function test( t ) {
var N;
var x;
var v;
x = new Float32Array([
2.0,
1.0, // 0
2.0,
-2.0, // 1
-2.0,
2.0, // 2
3.0,
4.0, // 3
NaN,
NaN // 4
]);
N = floor( x.length / 2 );
v = snanmean( N, x, 2, 1 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
});
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