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Interface Summary | |
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Cache.MatchPredicate<T> | Used by {#link #removeKeysMatching(Object)} to decide things that are matching. |
LongPrimitiveIterator | Adds notion of iterating over long primitives in the style of an Iterator -- as
opposed to iterating over Long . |
Retriever<K,V> | Implementations can retrieve a value for a given key. |
RunningAverage | Interface for classes that can keep track of a running average of a series of numbers. |
RunningAverageAndStdDev |
Extends RunningAverage by adding standard deviation too. |
SkippingIterator<V> | Adds ability to skip ahead in an iterator, perhaps more efficiently than by calling Iterator.next()
repeatedly. |
Class Summary | |
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AbstractLongPrimitiveIterator | |
Cache<K,V> | An efficient Map-like class which caches values for keys. |
FastByIDMap<V> | |
FastIDSet | |
FastMap<K,V> |
This is an optimized Map implementation, based on algorithms described in Knuth's "Art of Computer
Programming", Vol. |
FixedRunningAverage | A simple class that represents a fixed value of an average and count. |
FixedRunningAverageAndStdDev | A simple class that represents a fixed value of an average, count and standard deviation. |
FullRunningAverage | A simple class that can keep track of a running average of a series of numbers. |
FullRunningAverageAndStdDev |
Extends FullRunningAverage to add a running standard deviation computation. |
InvertedRunningAverage | |
InvertedRunningAverageAndStdDev | |
LongPrimitiveArrayIterator | While long[] is an Iterable, it is not an Iterable<Long>. |
RefreshHelper | A helper class for implementing Refreshable . |
SamplingLongPrimitiveIterator | Wraps a LongPrimitiveIterator and returns only some subset of the elements that it would,
as determined by a sampling rate parameter. |
WeightedRunningAverage | |
WeightedRunningAverageAndStdDev | This subclass also provides for a weighted estimate of the sample standard deviation. |
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