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* op.apply(array[lo]); |
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* tryComplete(); |
128 |
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* } |
129 |
< |
* } }</pre> |
129 |
> |
* }}</pre> |
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* |
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* This design can be improved by noticing that in the recursive case, |
132 |
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* the task has nothing to do after forking its right task, so can |
133 |
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* directly invoke its left task before returning. (This is an analog |
134 |
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* of tail recursion removal.) Also, because the task returns upon |
135 |
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* executing its left task (rather than falling through to invoke |
136 |
< |
* tryComplete) the pending count is set to one: |
136 |
> |
* {@code tryComplete}) the pending count is set to one: |
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* |
138 |
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* <pre> {@code |
139 |
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* class ForEach<E> ... |
291 |
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* return new MapReducer<E>(null, array, mapper, reducer, |
292 |
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* 0, array.length).invoke(); |
293 |
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* } |
294 |
< |
* } }</pre> |
294 |
> |
* }}</pre> |
295 |
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* |
296 |
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* Here, method {@code onCompletion} takes a form common to many |
297 |
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* completion designs that combine results. This callback-style method |