1.1 --- a/samples/list_mapreduce.js Tue Aug 19 20:43:03 2014 +0100
1.2 +++ b/samples/list_mapreduce.js Wed Aug 20 10:25:28 2014 +0200
1.3 @@ -1,21 +1,21 @@
1.4 /*
1.5 * Copyright (c) 2014, Oracle and/or its affiliates. All rights reserved.
1.6 - *
1.7 + *
1.8 * Redistribution and use in source and binary forms, with or without
1.9 * modification, are permitted provided that the following conditions
1.10 * are met:
1.11 - *
1.12 + *
1.13 * - Redistributions of source code must retain the above copyright
1.14 * notice, this list of conditions and the following disclaimer.
1.15 - *
1.16 + *
1.17 * - Redistributions in binary form must reproduce the above copyright
1.18 * notice, this list of conditions and the following disclaimer in the
1.19 * documentation and/or other materials provided with the distribution.
1.20 - *
1.21 + *
1.22 * - Neither the name of Oracle nor the names of its
1.23 * contributors may be used to endorse or promote products derived
1.24 * from this software without specific prior written permission.
1.25 - *
1.26 + *
1.27 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
1.28 * IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
1.29 * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
1.30 @@ -31,9 +31,9 @@
1.31
1.32 // Usage: jjs list_mapreduce.js
1.33
1.34 -// Many Array.prototype functions such as map,
1.35 +// Many Array.prototype functions such as map,
1.36 // filter, reduce, reduceRight, every, some are generic.
1.37 -// These functions accept ECMAScript array as well as
1.38 +// These functions accept ECMAScript array as well as
1.39 // many array-like objects including java.util.ArrayLists.
1.40 // So, you can do map/filter/reduce with Java streams or
1.41 // you can also use Array.prototype functions as below.
1.42 @@ -81,6 +81,6 @@
1.43 // print sum of squares of the random numbers
1.44 print("Square sum:",
1.45 reduce.call(
1.46 - map.call(list, function(x) x*x),
1.47 + map.call(list, function(x) x*x),
1.48 function(x, y) x + y)
1.49 );
