function nullary0d( x, fcn ) {
	x.accessors[ 1 ]( x.data, x.offset, fcn() );
}
Applies a nullary function and assigns results to elements in an output ndarray.

@private
@param {Object} x - object containing 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 {Callback} fcn - nullary 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 fcn() {
    return new Complex64( 10.0, -10.0 );
}

// Create a data buffer:
var xbuf = new Complex64Array( 4 );

// Define the shape of the output array:
var shape = [];

// Define the array strides:
var sx = [ 0 ];

// Define the index offset:
var ox = 1;

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

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

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

// Apply the nullary function:
nullary0d( x, fcn );

var v = x.data.get( 1 );

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

var im = imagf( v );
// returns -10.0