trait MemoEffect extends MemoTypes with MemoCreation with MemoInterpretation
Memoization effect
Memoize a computation for a given key
This effect can be interpreted with a cache implemented with many different libraries. See Cache.scala for 2 default implementations:
- one concurrent hashmap (meaning an unbounded cache)
- one concurrent hashmap with weak references (to evict entries based on garbage collection)
You can implement your own version using ScalaCache for example
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- def getCache[R](implicit arg0: _memo[R]): Eff[R, Cache]
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- def memoize[R, A](key: AnyRef, a: => A)(implicit arg0: _memo[R]): Eff[R, A]
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- def runFutureMemo[R, U, A](cache: Cache)(effect: Eff[R, A])(implicit m: Aux[Memoized, R, U], future: |=[TimedFuture, U]): Eff[U, A]
- Definition Classes
- MemoInterpretation
- def runMemo[R, U, A](cache: Cache)(effect: Eff[R, A])(implicit m: Aux[Memoized, R, U], eval: |=[Eval, U]): Eff[U, A]
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- final def synchronized[T0](arg0: => T0): T0
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