function unary1d( x, y, fcn ) {
	var xbuf;
	var ybuf;
	var get;
	var set;
	var dx0;
	var dy0;
	var S0;
	var ix;
	var iy;
	var i0;

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

	// Extract loop variables: dimensions and loop offset (pointer) increments...
	S0 = x.shape[ 0 ];
	dx0 = x.strides[ 0 ];
	dy0 = y.strides[ 0 ];

	// 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 ( i0 = 0; i0 < S0; i0++ ) {
		set( ybuf, iy, fcn( get( xbuf, ix ) ) );
		ix += dx0;
		iy += dy0;
	}
}
Applies a unary callback to elements in a one-dimensional input ndarray and assigns results 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 {Callback} fcn - unary callback
@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' );

function scale( z ) {
    return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
}

// 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 = [ 4 ];

// Define the array strides:
var sx = [ 1 ];
var sy = [ 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 ]
};

// Apply the unary function:
unary1d( x, y, scale );

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

var re = realf( v );
// returns 10.0

var im = imagf( v );
// returns 20.0