text: /**
  * @license Apache-2.0
  *
  * Copyright (c) 2020 The Stdlib Authors.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
  * You may obtain a copy of the License at
  *
  *    http://www.apache.org/licenses/LICENSE-2.0
  *
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS,
  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
  
  'use strict';
  
  // MODULES //
  
  var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
  var sapxsum = require( '@stdlib/blas/ext/base/sapxsum' ).ndarray;
  
  
  // MAIN //
  
  /**
  * Computes the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.
  *
  * ## References
  *
  * -   Ling, Robert F. 1974. "Comparison of Several Algorithms for Computing Sample Means and Variances." _Journal of the American Statistical Association_ 69 (348). American Statistical Association, Taylor & Francis, Ltd.: 859–66. doi:[10.2307/2286154](https://doi.org/10.2307/2286154).
  *
  * @param {PositiveInteger} N - number of indexed elements
  * @param {Float32Array} x - input array
  * @param {integer} stride - stride length
  * @param {NonNegativeInteger} offset - starting index
  * @returns {number} arithmetic mean
  *
  * @example
  * var Float32Array = require( '@stdlib/array/float32' );
  * var floor = require( '@stdlib/math/base/special/floor' );
  *
  * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
  * var N = floor( x.length / 2 );
  *
  * var v = smeanli( N, x, 2, 1 );
  * // returns 1.25
  */
  function smeanli( N, x, stride, offset ) {
  	if ( N <= 0 ) {
  		return NaN;
  	}
  	if ( N === 1 || stride === 0 ) {
  		return x[ offset ];
  	}
  	return float64ToFloat32( x[ offset ] + ( sapxsum( N-1, -x[ offset ], x, stride, offset+stride ) / N ) ); // eslint-disable-line max-len
  }
  
  
  // EXPORTS //
  
  module.exports = smeanli;
  