10 个牛逼的单行代码编程技巧，你会用吗？

 // Range是半开区间  
 int [] ia = range(1, 10).map(i -> i * 2).toArray();  
 List<Integer> result = range(1, 10).map(i -> i * 2).boxed().collect(toList());   

 range(1, 1000).sum();  
 range(1, 1000).reduce(0, Integer::sum);  
 Stream.iterate(0, i -> i + 1).limit(1000).reduce(0, Integer::sum);  
 IntStream.iterate(0, i -> i + 1).limit(1000).reduce(0, Integer::sum);   

final List<String> keywords = Arrays.asList("brown", "fox", "dog", "pangram");  
final String tweet = "The quick brown fox jumps over a lazy dog. #pangram http://www.rinkworks.com/words/pangrams.shtml";  
keywords.stream().anyMatch(tweet::contains);  
keywords.stream().reduce(false, (b, keyword) -> b || tweet.contains(keyword), (l, r) -> l || r);   

try (BufferedReader reader = new BufferedReader(new FileReader("data.txt"))) {  
   String fileText = reader.lines().reduce("", String::concat);  
 }  
 try (BufferedReader reader = new BufferedReader(new FileReader("data.txt"))) {  
   List<String> fileLines = reader.lines().collect(toCollection(LinkedList<String>::new));  
 }  
try (Stream<String> lines = Files.lines(new File("data.txt").toPath(), Charset.defaultCharset())) {  
   List<String> fileLines = lines.collect(toCollection(LinkedList<String>::new));  
}   

range(1, 5).boxed().map(i -> { out.print("Happy Birthday "); if (i == 3) return "dear NAM

 Map<String, List<Integer>> result = Stream.of(49, 58, 76, 82, 88, 90).collect(groupingBy(forPredicate(i -> i > 60, "passed", "failed")));   

FeedType feed = JAXB.unmarshal(new URL("http://search.twitter.com/search.atom?&q=java8"), FeedType.class);  
JAXB.marshal(feed, System.out);   

 int min = Stream.of(14, 35, -7, 46, 98).reduce(Integer::min).get();  
 min = Stream.of(14, 35, -7, 46, 98).min(Integer::compare).get();  
 min = Stream.of(14, 35, -7, 46, 98).mapToInt(Integer::new).min();  
 int max = Stream.of(14, 35, -7, 46, 98).reduce(Integer::max).get();  
 max = Stream.of(14, 35, -7, 46, 98).max(Integer::compare).get();  
 max = Stream.of(14, 35, -7, 46, 98).mapToInt(Integer::new).max();   

List<Album> albums = Arrays.asList(unapologetic, tailgates, red);  
//筛选出至少有一个track评级4分以上的专辑，并按照名称排序后打印出来。  
albums.stream()  
  .filter(a -> a.tracks.stream().anyMatch(t -> (t.rating >= 4)))  
  .sorted(comparing(album -> album.name))  
  .forEach(album -> System.out.println(album.name));  
//合并所有专辑的track  
List<Track> allTracks = albums.stream()  
  .flatMap(album -> album.tracks.stream())  
  .collect(toList());  
//根据track的评分对所有track分组  
Map<Integer, List<Track>> tracksByRating = allTracks.stream()  
  .collect(groupingBy(Track::getRating));