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 isnan = require( '@stdlib/math/base/assert/is-nan' );
  var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
  var Float64Array = require( '@stdlib/array/float64' );
  var Uint8Array = require( '@stdlib/array/uint8' );
  var nanmskrange = require( './../lib/nanmskrange.js' );
  
  
  // TESTS //
  
  tape( 'main export is a function', function test( t ) {
  	t.ok( true, __filename );
  	t.strictEqual( typeof nanmskrange, 'function', 'main export is a function' );
  	t.end();
  });
  
  tape( 'the function has an arity of 5', function test( t ) {
  	t.strictEqual( nanmskrange.length, 5, 'has expected arity' );
  	t.end();
  });
  
  tape( 'the function calculates the range of a strided array according to a mask, ignoring NaN values', function test( t ) {
  	var mask;
  	var x;
  	var v;
  
  	x = [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ];
  	mask = [ 0, 0, 0, 1, 0, 0, 0 ];
  	v = nanmskrange( x.length, x, 1, mask, 1 );
  	t.strictEqual( v, 9.0, 'returns expected value' );
  
  	x = [ -4.0, NaN, -5.0 ];
  	mask = [ 0, 1, 0 ];
  	v = nanmskrange( x.length, x, 1, mask, 1 );
  	t.strictEqual( v, 1.0, 'returns expected value' );
  
  	x = [ -0.0, 0.0, NaN, -0.0 ];
  	mask = [ 0, 0, 1, 0 ];
  	v = nanmskrange( x.length, x, 1, mask, 1 );
  	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
  
  	x = [ -4.0, 0.0, NaN, 5.0 ];
  	mask = [ 0, 0, 0, 0 ];
  	v = nanmskrange( x.length, x, 1, mask, 1 );
  	t.strictEqual( v, 9.0, 'returns expected value' );
  
  	x = [ NaN ];
  	mask = [ 0 ];
  	v = nanmskrange( x.length, x, 1, mask, 1 );
  	t.strictEqual( isnan( v ), true, 'returns expected value' );
  
  	x = [ NaN ];
  	mask = [ 1 ];
  	v = nanmskrange( x.length, x, 1, mask, 1 );
  	t.strictEqual( isnan( v ), true, 'returns expected value' );
  
  	x = [ NaN, NaN ];
  	mask = [ 1, 1 ];
  	v = nanmskrange( x.length, x, 1, mask, 1 );
  	t.strictEqual( isnan( v ), true, 'returns expected value' );
  
  	x = [ NaN, NaN ];
  	mask = [ 1, 0 ];
  	v = nanmskrange( x.length, x, 1, mask, 1 );
  	t.strictEqual( isnan( v ), true, 'returns expected value' );
  
  	x = [ NaN, NaN ];
  	mask = [ 0, 1 ];
  	v = nanmskrange( x.length, x, 1, mask, 1 );
  	t.strictEqual( isnan( v ), true, 'returns expected value' );
  
  	x = [ NaN, NaN ];
  	mask = [ 0, 0 ];
  	v = nanmskrange( x.length, x, 1, mask, 1 );
  	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 mask;
  	var x;
  	var v;
  
  	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
  	mask = [ 0.0, 0.0 ];
  
  	v = nanmskrange( 0, x, 1, mask, 1 );
  	t.strictEqual( isnan( v ), true, 'returns expected value' );
  
  	v = nanmskrange( -1, x, 1, mask, 1 );
  	t.strictEqual( isnan( v ), true, 'returns expected value' );
  
  	t.end();
  });
  
  tape( 'if provided an `N` parameter equal to `1`, the function returns `0`', function test( t ) {
  	var mask;
  	var x;
  	var v;
  
  	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
  	mask = [ 0.0, 0.0 ];
  
  	v = nanmskrange( 1, x, 1, mask, 1 );
  	t.strictEqual( v, 0.0, 'returns expected value' );
  
  	t.end();
  });
  
  tape( 'the function supports `stride` parameters', function test( t ) {
  	var mask;
  	var N;
  	var x;
  	var v;
  
  	x = [
  		1.0,  // 0
  		2.0,
  		2.0,  // 1
  		-7.0,
  		-2.0, // 2
  		3.0,
  		4.0,  // 3
  		2.0,
  		5.0,  // 4
  		6.0,
  		NaN,  // 5
  		NaN
  	];
  	mask = [
  		0, // 0
  		0,
  		0, // 1
  		0,
  		0, // 2
  		0,
  		0, // 3
  		0,
  		1, // 4
  		1,
  		0, // 5
  		0
  	];
  
  	N = floor( x.length / 2 );
  	v = nanmskrange( N, x, 2, mask, 2 );
  
  	t.strictEqual( v, 6.0, 'returns expected value' );
  	t.end();
  });
  
  tape( 'the function supports negative `stride` parameters', function test( t ) {
  	var mask;
  	var N;
  	var x;
  	var v;
  
  	x = [
  		NaN,  // 5
  		NaN,
  		5.0,  // 4
  		6.0,
  		1.0,  // 3
  		2.0,
  		2.0,  // 2
  		-7.0,
  		-2.0, // 1
  		3.0,
  		4.0,  // 0
  		2.0
  	];
  	mask = [
  		0, // 5
  		0,
  		1, // 4
  		1,
  		0, // 3
  		0,
  		0, // 2
  		0,
  		0, // 1
  		0,
  		0, // 0
  		0
  	];
  
  	N = floor( x.length / 2 );
  	v = nanmskrange( N, x, -2, mask, -2 );
  
  	t.strictEqual( v, 6.0, 'returns expected value' );
  	t.end();
  });
  
  tape( 'the function supports view offsets', function test( t ) {
  	var mask0;
  	var mask1;
  	var x0;
  	var x1;
  	var N;
  	var v;
  
  	x0 = new Float64Array([
  		2.0,
  		1.0,  // 0
  		2.0,
  		-2.0, // 1
  		-2.0,
  		2.0,  // 2
  		3.0,
  		4.0,  // 3
  		6.0,
  		5.0,  // 4
  		6.0,
  		NaN,  // 5
  		NaN
  	]);
  	mask0 = new Uint8Array([
  		0,
  		0, // 0
  		0,
  		0, // 1
  		0,
  		0, // 2
  		0,
  		0, // 3
  		0,
  		1, // 4
  		1,
  		0, // 5
  		0
  	]);
  
  	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
  	mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
  	N = floor( x1.length/2 );
  
  	v = nanmskrange( N, x1, 2, mask1, 2 );
  	t.strictEqual( v, 6.0, 'returns expected value' );
  
  	t.end();
  });
  