test: add edge cases

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---

Author: headlessNode

lib/node_modules/@stdlib/ndarray/base/unary/test/test.js

@@ -21,6 +21,12 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var numel = require( '@stdlib/ndarray/base/numel' );
 var unary = require( './../lib' );
 
 
@@ -31,3 +37,101 @@ tape( 'main export is a function', function test( t ) {
 	t.strictEqual( typeof unary, 'function', 'main export is a function' );
 	t.end();
 });
+
+tape( 'the function throws an error if provided input and output ndarrays which do not have the same number of dimensions', function test( t ) {
+	var shapes;
+	var i;
+
+	shapes = [
+		[ [ 4, 2, 1 ], [ 4, 2 ] ],
+		[ [ 2, 2 ], [ 2, 2, 2 ] ],
+		[ [ 1, 1, 1, 1 ], [ 1, 1, 1 ] ],
+		[ [ 2, 2, 1, 2 ], [ 2, 1, 2 ] ],
+		[ [ 1, 1, 4, 2, 2, 2 ], [ 10, 2 ] ],
+		[ [ 1, 1, 1, 1 ], [ 1, 1, 1 ] ]
+	];
+
+	for ( i = 0; i < shapes.length; i++ ) {
+		t.throws( badValue( shapes[i][0], shapes[i][1] ), Error, 'throws an error when input shape is ' + shapes[i][0] + ' and output shape is ' + shapes[i][1] );
+	}
+	t.end();
+
+	function scale( z ) {
+		return z * 10.0;
+	}
+
+	function badValue( sh1, sh2 ) {
+		return function badValue() {
+			var dtype;
+			var ord;
+			var st1;
+			var st2;
+			var o1;
+			var o2;
+			var x;
+			var y;
+
+			ord = 'row-major';
+			dtype = 'float64';
+
+			st1 = shape2strides( sh1, ord );
+			st2 = shape2strides( sh2, ord );
+			o1 = strides2offset( sh1, st1 );
+			o2 = strides2offset( sh2, st2 );
+
+			x = ndarray( dtype, ones( numel( sh1 ), dtype ), sh1, st1, o1, ord );
+			y = ndarray( dtype, zeros( numel( sh2 ), dtype ), sh2, st2, o2, ord );
+
+			unary( [ x, y ], scale );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided input and output ndarrays which do not have the same shape', function test( t ) {
+	var shapes;
+	var i;
+
+	shapes = [
+		[ [ 4, 2, 1 ], [ 4, 2, 2 ] ],
+		[ [ 3, 3 ], [ 2, 2 ] ],
+		[ [ 5, 5, 5 ], [ 5, 5, 4 ] ],
+		[ [ 1, 1, 1 ], [ 2, 2, 2 ] ],
+		[ [ 1, 4, 1, 2, 2 ], [ 3, 8 ] ],
+		[ [ 10, 2, 1 ], [ 1, 2, 10 ] ]
+	];
+
+	for ( i = 0; i < shapes.length; i++ ) {
+		t.throws( badValue( shapes[i][0], shapes[i][1] ), Error, 'throws an error when input shape is ' + shapes[i][0] + ' and output shape is ' + shapes[i][1] );
+	}
+	t.end();
+
+	function scale( z ) {
+		return z * 10.0;
+	}
+
+	function badValue( sh1, sh2 ) {
+		return function badValue() {
+			var dtype;
+			var ord;
+			var st1;
+			var st2;
+			var o1;
+			var o2;
+			var x;
+			var y;
+
+			ord = 'row-major';
+			dtype = 'float64';
+
+			st1 = shape2strides( sh1, ord );
+			st2 = shape2strides( sh2, ord );
+			o1 = strides2offset( sh1, st1 );
+			o2 = strides2offset( sh2, st2 );
+
+			x = ndarray( dtype, ones( numel( sh1 ), dtype ), sh1, st1, o1, ord );
+			y = ndarray( dtype, zeros( numel( sh2 ), dtype ), sh2, st2, o2, ord );
+
+			unary( [ x, y ], scale );
+		};
+	}
+});