text: /**
  * @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 Float64Array = require( '@stdlib/array/float64' );
  var dnannsumors = require( './../lib/ndarray.js' );
  
  
  // TESTS //
  
  tape( 'main export is a function', function test( t ) {
  	t.ok( true, __filename );
  	t.strictEqual( typeof dnannsumors, 'function', 'main export is a function' );
  	t.end();
  });
  
  tape( 'the function has an arity of 7', function test( t ) {
  	t.strictEqual( dnannsumors.length, 7, 'has expected arity' );
  	t.end();
  });
  
  tape( 'the function calculates the sum of strided array elements (ignoring NaN values)', function test( t ) {
  	var expected;
  	var out;
  	var x;
  	var v;
  
  	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, NaN, 3.0, 0.0, -3.0, 3.0, NaN ] ); // eslint-disable-line max-len
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( x.length, x, 1, 0, out, 1, 0 );
  
  	expected = new Float64Array( [ 3.0, 9.0 ] );
  	t.strictEqual( v, out, 'returns expected value' );
  	t.deepEqual( v, expected, 'returns expected value' );
  
  	x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0, NaN ] );
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( x.length, x, 1, 0, out, 1, 0 );
  
  	expected = new Float64Array( [ 3.0, 6.0 ] );
  	t.strictEqual( v, out, 'returns expected value' );
  	t.deepEqual( v, expected, 'returns expected value' );
  
  	x = new Float64Array( [ -4.0, NaN, -4.0 ] );
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( x.length, x, 1, 0, out, 1, 0 );
  
  	expected = new Float64Array( [ -8.0, 2.0 ] );
  	t.strictEqual( v, out, 'returns expected value' );
  	t.deepEqual( v, expected, 'returns expected value' );
  
  	x = new Float64Array( [ NaN, 4.0 ] );
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( x.length, x, 1, 0, out, 1, 0 );
  
  	expected = new Float64Array( [ 4.0, 1.0 ] );
  	t.strictEqual( v, out, 'returns expected value' );
  	t.deepEqual( v, expected, 'returns expected value' );
  
  	x = new Float64Array( [ NaN, NaN ] );
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( x.length, x, 1, 0, out, 1, 0 );
  
  	t.strictEqual( v, out, 'returns expected value' );
  	t.strictEqual( v[ 0 ], 0.0, 'returns expected value' );
  	t.strictEqual( v[ 1 ], 0.0, 'returns expected value' );
  
  	x = new Float64Array( [ NaN ] );
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( x.length, x, 1, 0, out, 1, 0 );
  
  	t.strictEqual( v, out, 'returns expected value' );
  	t.strictEqual( v[ 0 ], 0.0, 'returns expected value' );
  	t.strictEqual( v[ 1 ], 0.0, 'returns expected value' );
  
  	x = new Float64Array( [ 4.0 ] );
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( x.length, x, 1, 0, out, 1, 0 );
  
  	expected = new Float64Array( [ 4.0, 1.0 ] );
  	t.strictEqual( v, out, 'returns expected value' );
  	t.deepEqual( v, expected, 'returns expected value' );
  
  	x = new Float64Array( [ 1.0, 1.0e100, 1.0, -1.0e100 ] );
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( x.length, x, 1, 0, out, 1, 0 );
  
  	expected = new Float64Array( [ 0.0, 4.0 ] );
  	t.strictEqual( v, out, 'returns expected value' );
  	t.deepEqual( v, expected, 'returns expected value' );
  
  	t.end();
  });
  
  tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `0.0`', function test( t ) {
  	var expected;
  	var out;
  	var x;
  	var v;
  
  	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( 0, x, 1, 0, out, 1, 0 );
  
  	expected = new Float64Array( [ 0.0, 0.0 ] );
  	t.deepEqual( v, expected, 'returns expected value' );
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( -1, x, 1, 0, out, 1, 0 );
  
  	expected = new Float64Array( [ 0.0, 0.0 ] );
  	t.deepEqual( v, expected, '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 expected;
  	var out;
  	var x;
  	var v;
  
  	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( 1, x, 1, 0, out, 1, 0 );
  
  	expected = new Float64Array( [ 1.0, 1.0 ] );
  	t.deepEqual( v, expected, 'returns expected value' );
  
  	t.end();
  });
  
  tape( 'the function supports a `stride` parameter', function test( t ) {
  	var expected;
  	var out;
  	var N;
  	var x;
  	var v;
  
  	x = new Float64Array([
  		1.0,  // 0
  		2.0,
  		2.0,  // 1
  		-7.0,
  		-2.0, // 2
  		3.0,
  		4.0,  // 3
  		2.0,
  		NaN,  // 4
  		NaN
  	]);
  	out = new Float64Array( 4 );
  
  	N = floor( x.length / 2 );
  	v = dnannsumors( N, x, 2, 0, out, 2, 0 );
  
  	expected = new Float64Array( [ 5.0, 0.0, 4.0, 0.0 ] );
  	t.deepEqual( v, expected, 'returns expected value' );
  
  	t.end();
  });
  
  tape( 'the function supports a negative `stride` parameter', function test( t ) {
  	var expected;
  	var out;
  	var N;
  	var x;
  	var v;
  
  	x = new Float64Array([
  		NaN,  // 4
  		NaN,
  		1.0,  // 3
  		2.0,
  		2.0,  // 2
  		-7.0,
  		-2.0, // 1
  		3.0,
  		4.0,  // 0
  		2.0
  	]);
  	out = new Float64Array( 4 );
  
  	N = floor( x.length / 2 );
  	v = dnannsumors( N, x, -2, 8, out, -2, 2 );
  
  	expected = new Float64Array( [ 4.0, 0.0, 5.0, 0.0 ] );
  	t.deepEqual( v, expected, '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 expected;
  	var out;
  	var x;
  	var v;
  
  	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
  
  	out = new Float64Array( 2 );
  	v = dnannsumors( x.length, x, 0, 0, out, 1, 0 );
  
  	expected = new Float64Array( [ 1.0, 1.0 ] );
  	t.deepEqual( v, expected, 'returns expected value' );
  
  	t.end();
  });
  
  tape( 'the function supports `offset` parameters', function test( t ) {
  	var expected;
  	var out;
  	var N;
  	var x;
  	var v;
  
  	x = new Float64Array([
  		2.0,
  		1.0,  // 0
  		2.0,
  		-2.0, // 1
  		-2.0,
  		2.0,  // 2
  		3.0,
  		4.0,  // 3
  		NaN,
  		NaN   // 4
  	]);
  	out = new Float64Array( 4 );
  	N = floor( x.length / 2 );
  
  	v = dnannsumors( N, x, 2, 1, out, 2, 1 );
  
  	expected = new Float64Array( [ 0.0, 5.0, 0.0, 4.0 ] );
  	t.deepEqual( v, expected, 'returns expected value' );
  
  	t.end();
  });
  