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b. Given a Stream where each element is a word, count the number of times each
word appears. So, if you were given the following input, you would return a
Map of [John → 3, Paul → 2, George → 1] :
Stream < String > names = Stream . of ( "John" , "Paul" , "George" , "John" ,
"Paul" , "John" );
c. Implement Collectors.groupingBy as a custom collector. You don't need to
provide a downstream collector, so just implementing the simplest variant is
fine. If you look at the JDK source code, you're cheating! Hint: you might
want to start with public class GroupingBy<T, K> implements Collect-
or<T, Map<K, List<T>>, Map<K, List<T>>> . This is an advanced exercise,
so you might want to attempt it last.
3. Map enhancements.
Efficiently calculate a Fibonacci sequence using just the computeIfAbsent method
on a Map . By “efficiently,” I mean that you don't repeatedly recalculate the Fibonacci
sequence of smaller numbers.
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