function dsnannsumors( N, x, strideX, offsetX, out, strideOut, offsetOut ) {
	var sum;
	var ix;
	var n;
	var i;

	sum = 0.0;
	if ( N <= 0 ) {
		out[ offsetOut ] = sum;
		out[ offsetOut+strideOut ] = 0;
		return out;
	}
	ix = offsetX;
	if ( strideX === 0 ) {
		if ( isnan( x[ ix ] ) ) {
			out[ offsetOut ] = sum;
			out[ offsetOut+strideOut ] = 0;
			return out;
		}
		out[ offsetOut ] = x[ ix ] * N;
		out[ offsetOut+strideOut ] = N;
		return out;
	}
	n = 0;
	for ( i = 0; i < N; i++ ) {
		if ( isnan( x[ ix ] ) === false ) {
			sum += x[ ix ];
			n += 1;
		}
		ix += strideX;
	}
	out[ offsetOut ] = sum;
	out[ offsetOut+strideOut ] = n;
	return out;
}
Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.

@param {PositiveInteger} N - number of indexed elements
@param {Float32Array} x - input array
@param {integer} strideX - `x` stride length
@param {NonNegativeInteger} offsetX - `x` starting index
@param {Float64Array} out - output array
@param {integer} strideOut - `out` stride length
@param {NonNegativeInteger} offsetOut - `out` starting index
@returns {Float64Array} output array

@example
var Float32Array = require( '@stdlib/array/float32' );
var Float64Array = require( '@stdlib/array/float64' );

var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
var out = new Float64Array( 2 );

var v = dsnannsumors( 5, x, 2, 1, out, 1, 0 );
// returns <Float64Array>[ 5.0, 4 ]