test(arcsine-mode): add native.js tests

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Author: anandkaranubc

lib/node_modules/@stdlib/stats/base/dists/arcsine/mode/test/test.native.js

@@ -0,0 +1,105 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+
+
+// VARIABLES //
+
+var mode = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( mode instanceof Error )
+};
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof mode, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+	var v = mode( NaN, 0.5 );
+	t.equal( isnan( v ), true, 'returns NaN' );
+
+	v = mode( 10.0, NaN );
+	t.equal( isnan( v ), true, 'returns NaN' );
+
+	t.end();
+});
+
+tape( 'if provided `a >= b`, the function returns `NaN`', function test( t ) {
+	var y;
+
+	y = mode( 3.0, 2.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
+
+	y = mode( 2.0, 2.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
+
+	y = mode( NINF, NINF );
+	t.equal( isnan( y ), true, 'returns NaN' );
+
+	y = mode( PINF, NINF );
+	t.equal( isnan( y ), true, 'returns NaN' );
+
+	t.end();
+});
+
+tape( 'the function returns the mode of an arcsine distribution', function test( t ) {
+	var expected;
+	var delta;
+	var tol;
+	var a;
+	var b;
+	var i;
+	var y;
+
+	expected = data.expected;
+	a = data.a;
+	b = data.b;
+	for ( i = 0; i < expected.length; i++ ) {
+		y = mode( a[i], b[i] );
+		if ( y === expected[i] ) {
+			t.equal( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] );
+		} else {
+			delta = abs( y - expected[ i ] );
+			tol = 1.0 * EPS * abs( expected[ i ] );
+			t.ok( delta <= tol, 'within tolerance. a: '+a[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		}
+	}
+	t.end();
+});