{{alias}}( arrays, shape, strides, fcn )
    Applies a quinary callback to strided input array elements and assigns
    results to elements in a strided output array.

    The `shape` and `strides` parameters determine which elements in the strided
    input and output arrays are accessed at runtime.

    Indexing is relative to the first index. To introduce an offset, use typed
    array views.

    Parameters
    ----------
    arrays: ArrayLikeObject<ArrayLikeObject>
        Array-like object containing five strided input arrays and one strided
        output array.

    shape: ArrayLikeObject<integer>
        Array-like object containing a single element, the number of indexed
        elements.

    strides: ArrayLikeObject<integer>
        Array-like object containing the stride lengths for the strided input
        and output arrays.

    fcn: Function
        Quinary callback.

    Examples
    --------
    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var y = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var z = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var w = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var u = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var v = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
    > var shape = [ x.length ];
    > var strides = [ 1, 1, 1, 1, 1, 1 ];
    > function f( x, y, z, w, u ) { return x + y + z + w + u; };
    > {{alias}}( [ x, y, z, w, u, v ], shape, strides, f );
    > v
    <Float64Array>[ 5.0, 10.0, 15.0, 20.0 ]


{{alias}}.ndarray( arrays, shape, strides, offsets, fcn )
    Applies a quinary callback to strided input array elements and assigns
    results to elements in a strided output array using alternative indexing
    semantics.

    While typed array views mandate a view offset based on the underlying
    buffer, the `offsets` parameter supports indexing semantics based on
    starting indices.

    Parameters
    ----------
    arrays: ArrayLikeObject<ArrayLikeObject>
        Array-like object containing five strided input arrays and one strided
        output array.

    shape: ArrayLikeObject<integer>
        Array-like object containing a single element, the number of indexed
        elements.

    strides: ArrayLikeObject<integer>
        Array-like object containing the stride lengths for the strided input
        and output arrays.

    offsets: ArrayLikeObject<integer>
        Array-like object containing the starting indices (i.e., index offsets)
        for the strided input and output arrays.

    fcn: Function
        Quinary callback.

    Examples
    --------
    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var y = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var z = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var w = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var u = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var v = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
    > var shape = [ x.length ];
    > var strides = [ 1, 1, 1, 1, 1, 1 ];
    > var offsets = [ 0, 0, 0, 0, 0, 0 ];
    > function f( x, y, z, w, u ) { return x + y + z + w + u; };
    > {{alias}}.ndarray( [ x, y, z, w, u, v ], shape, strides, offsets, f );
    > v
    <Float64Array>[ 5.0, 10.0, 15.0, 20.0 ]

    See Also
    --------