> :rocket: The Power of Memoization in Kotlin! ...
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πŸš€ The Power of Memoization in Kotlin! πŸ§ πŸ’‘
πŸ” What's Memoization? It's a technique that saves costly function results, making your code faster by avoiding redundant calculations. Ideal for functions with input-dependent outputs. πŸ“¦ Kotlin Memoization : With Kotlin, you can implement memoization yourself using a simple
Map
. Take a closer look at the (Code Snapshot) image. ✨ How It Works : The
Memoize
class stores function results in a
Map
. When the same input is encountered again, it retrieves the cached result instead of recomputation. πŸ‘©β€πŸ’» Practical Usage : Let's say you have a function
sumFactors
that calculates the sum of factors for an integer. Memoize it like this:
Copy code
val sumFactors = { n: Int -> calculateSumOfFactors(n) }
val memoizedSumFactors = sumFactors.memoize()

memoizedSumFactors(10) // Calls calculateSumOfFactors()
memoizedSumFactors(10) // Returns cached result
🌟 Benefits and Considerations: β€’ 🌟 Speed Boost : Memoization makes slow functions lightning-fast. β€’ 🧐 Code Clarity : Say goodbye to redundant calculations, keeping your code clean and maintainable. β€’ 🧠 Easy Implementation : Kotlin's
getOrPut
function simplifies the process, making it accessible even for beginners. β€’ πŸ™…β€β™‚οΈ Single-Parameter Limit : Memoization works best for single-input functions. β€’ -πŸ“‰ Explicit Memoization : You must apply memoization explicitly to each function. β€’ πŸ’Ύ Memory Usage : Storing results consumes memory, so consider this as your cache grows. https://lnkd.in/ds5Y_ut4
πŸ‘ 3
πŸ‘πŸΎ 1
a
for more complex memoization, incluing recursive functions, you can check Arrow's support for them, based on Kotlin's RecursiveFunction
❀️ 1
g
Just one thing: this could potentially lead to concurrent issues, so it's nice to point out that this implementation isn't thread-safe. The quickest solution would be to change the
mutableMapOf
to
ConcurrentHashMap
, but that's for JVM only. Anyway I'm pretty sure it wouldn't require much to create a multi-platform solution for this as well. πŸ™‚
πŸ‘ 2
k
Thanks for pointing that out! πŸ˜ŠπŸ‘