function assign9d( x, y, isRowMajor ) { // eslint-disable-line max-statements
	var xbuf;
	var ybuf;
	var get;
	var set;
	var dx0;
	var dx1;
	var dx2;
	var dx3;
	var dx4;
	var dx5;
	var dx6;
	var dx7;
	var dx8;
	var dy0;
	var dy1;
	var dy2;
	var dy3;
	var dy4;
	var dy5;
	var dy6;
	var dy7;
	var dy8;
	var sh;
	var S0;
	var S1;
	var S2;
	var S3;
	var S4;
	var S5;
	var S6;
	var S7;
	var S8;
	var sx;
	var sy;
	var ix;
	var iy;
	var i0;
	var i1;
	var i2;
	var i3;
	var i4;
	var i5;
	var i6;
	var i7;
	var i8;

	// Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...

	// Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
	sh = x.shape;
	sx = x.strides;
	sy = y.strides;
	if ( isRowMajor ) {
		// For row-major ndarrays, the last dimensions have the fastest changing indices...
		S0 = sh[ 8 ];
		S1 = sh[ 7 ];
		S2 = sh[ 6 ];
		S3 = sh[ 5 ];
		S4 = sh[ 4 ];
		S5 = sh[ 3 ];
		S6 = sh[ 2 ];
		S7 = sh[ 1 ];
		S8 = sh[ 0 ];
		dx0 = sx[ 8 ];                // offset increment for innermost loop
		dx1 = sx[ 7 ] - ( S0*sx[8] );
		dx2 = sx[ 6 ] - ( S1*sx[7] );
		dx3 = sx[ 5 ] - ( S2*sx[6] );
		dx4 = sx[ 4 ] - ( S3*sx[5] );
		dx5 = sx[ 3 ] - ( S4*sx[4] );
		dx6 = sx[ 2 ] - ( S5*sx[3] );
		dx7 = sx[ 1 ] - ( S6*sx[2] );
		dx8 = sx[ 0 ] - ( S7*sx[1] ); // offset increment for outermost loop
		dy0 = sy[ 8 ];
		dy1 = sy[ 7 ] - ( S0*sy[8] );
		dy2 = sy[ 6 ] - ( S1*sy[7] );
		dy3 = sy[ 5 ] - ( S2*sy[6] );
		dy4 = sy[ 4 ] - ( S3*sy[5] );
		dy5 = sy[ 3 ] - ( S4*sy[4] );
		dy6 = sy[ 2 ] - ( S5*sy[3] );
		dy7 = sy[ 1 ] - ( S6*sy[2] );
		dy8 = sy[ 0 ] - ( S7*sy[1] );
	} else { // order === 'column-major'
		// For column-major ndarrays, the first dimensions have the fastest changing indices...
		S0 = sh[ 0 ];
		S1 = sh[ 1 ];
		S2 = sh[ 2 ];
		S3 = sh[ 3 ];
		S4 = sh[ 4 ];
		S5 = sh[ 5 ];
		S6 = sh[ 6 ];
		S7 = sh[ 7 ];
		S8 = sh[ 8 ];
		dx0 = sx[ 0 ];                // offset increment for innermost loop
		dx1 = sx[ 1 ] - ( S0*sx[0] );
		dx2 = sx[ 2 ] - ( S1*sx[1] );
		dx3 = sx[ 3 ] - ( S2*sx[2] );
		dx4 = sx[ 4 ] - ( S3*sx[3] );
		dx5 = sx[ 5 ] - ( S4*sx[4] );
		dx6 = sx[ 6 ] - ( S5*sx[5] );
		dx7 = sx[ 7 ] - ( S6*sx[6] );
		dx8 = sx[ 8 ] - ( S7*sx[7] ); // offset increment for outermost loop
		dy0 = sy[ 0 ];
		dy1 = sy[ 1 ] - ( S0*sy[0] );
		dy2 = sy[ 2 ] - ( S1*sy[1] );
		dy3 = sy[ 3 ] - ( S2*sy[2] );
		dy4 = sy[ 4 ] - ( S3*sy[3] );
		dy5 = sy[ 5 ] - ( S4*sy[4] );
		dy6 = sy[ 6 ] - ( S5*sy[5] );
		dy7 = sy[ 7 ] - ( S6*sy[6] );
		dy8 = sy[ 8 ] - ( S7*sy[7] );
	}
	// Set the pointers to the first indexed elements in the respective ndarrays...
	ix = x.offset;
	iy = y.offset;

	// Cache references to the input and output ndarray buffers...
	xbuf = x.data;
	ybuf = y.data;

	// Cache accessors:
	get = x.accessors[ 0 ];
	set = y.accessors[ 1 ];

	// Iterate over the ndarray dimensions...
	for ( i8 = 0; i8 < S8; i8++ ) {
		for ( i7 = 0; i7 < S7; i7++ ) {
			for ( i6 = 0; i6 < S6; i6++ ) {
				for ( i5 = 0; i5 < S5; i5++ ) {
					for ( i4 = 0; i4 < S4; i4++ ) {
						for ( i3 = 0; i3 < S3; i3++ ) {
							for ( i2 = 0; i2 < S2; i2++ ) {
								for ( i1 = 0; i1 < S1; i1++ ) {
									for ( i0 = 0; i0 < S0; i0++ ) {
										set( ybuf, iy, get( xbuf, ix ) );
										ix += dx0;
										iy += dy0;
									}
									ix += dx1;
									iy += dy1;
								}
								ix += dx2;
								iy += dy2;
							}
							ix += dx3;
							iy += dy3;
						}
						ix += dx4;
						iy += dy4;
					}
					ix += dx5;
					iy += dy5;
				}
				ix += dx6;
				iy += dy6;
			}
			ix += dx7;
			iy += dy7;
		}
		ix += dx8;
		iy += dy8;
	}
}
Assigns elements in a nine-dimensional input ndarray to elements in an equivalently shaped output ndarray.

@private
@param {Object} x - object containing input ndarray meta data
@param {string} x.dtype - data type
@param {Collection} x.data - data buffer
@param {NonNegativeIntegerArray} x.shape - dimensions
@param {IntegerArray} x.strides - stride lengths
@param {NonNegativeInteger} x.offset - index offset
@param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
@param {Array<Function>} x.accessors - data buffer accessors
@param {Object} y - object containing output ndarray meta data
@param {string} y.dtype - data type
@param {Collection} y.data - data buffer
@param {NonNegativeIntegerArray} y.shape - dimensions
@param {IntegerArray} y.strides - stride lengths
@param {NonNegativeInteger} y.offset - index offset
@param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
@param {Array<Function>} y.accessors - data buffer accessors
@param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
@returns {void}

@example
var Complex64Array = require( '@stdlib/array/complex64' );
var Complex64 = require( '@stdlib/complex/float32/ctor' );
var realf = require( '@stdlib/complex/float32/real' );
var imagf = require( '@stdlib/complex/float32/imag' );

// Create data buffers:
var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
var ybuf = new Complex64Array( 4 );

// Define the shape of the input and output arrays:
var shape = [ 1, 1, 1, 1, 1, 1, 1, 2, 2 ];

// Define the array strides:
var sx = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
var sy = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];

// Define the index offsets:
var ox = 0;
var oy = 0;

// Define getters and setters:
function getter( buf, idx ) {
    return buf.get( idx );
}

function setter( buf, idx, value ) {
    buf.set( value, idx );
}

// Create the input and output ndarray-like objects:
var x = {
    'dtype': 'complex64',
    'data': xbuf,
    'shape': shape,
    'strides': sx,
    'offset': ox,
    'order': 'row-major',
    'accessors': [ getter, setter ]
};
var y = {
    'dtype': 'complex64',
    'data': ybuf,
    'shape': shape,
    'strides': sy,
    'offset': oy,
    'order': 'row-major',
    'accessors': [ getter, setter ]
};

// Copy elements:
assign9d( x, y, true );

var v = y.data.get( 0 );

var re = realf( v );
// returns 1.0

var im = imagf( v );
// returns 2.0