I wrote this code to find the prime numbers less than the given number i in scala.
def findPrime(i : Int) : List[Int] = i match {
case 2 => List(2)
Here's a functional implementation of the Sieve of Eratosthenes, as presented in Odersky's "Functional Programming Principles in Scala" Coursera course :
// Sieving integral numbers
def sieve(s: Stream[Int]): Stream[Int] = {
s.head #:: sieve(s.tail.filter(_ % s.head != 0))
}
// All primes as a lazy sequence
val primes = sieve(Stream.from(2))
// Dumping the first five primes
print(primes.take(5).toList) // List(2, 3, 5, 7, 11)
object Primes {
private lazy val notDivisibleBy2: Stream[Long] = 3L #:: notDivisibleBy2.map(_ + 2)
private lazy val notDivisibleBy2Or3: Stream[Long] = notDivisibleBy2
.grouped(3)
.map(_.slice(1, 3))
.flatten
.toStream
private lazy val notDivisibleBy2Or3Or5: Stream[Long] = notDivisibleBy2Or3
.grouped(10)
.map { g =>
g.slice(1, 7) ++ g.slice(8, 10)
}
.flatten
.toStream
lazy val primes: Stream[Long] = 2L #::
notDivisibleBy2.head #::
notDivisibleBy2Or3.head #::
notDivisibleBy2Or3Or5.filter { i =>
i < 49 || primes.takeWhile(_ <= Math.sqrt(i).toLong).forall(i % _ != 0)
}
def apply(n: Long): Stream[Long] = primes.takeWhile(_ <= n)
def getPrimeUnder(n: Long): Long = Primes(n).last
}
@mfa has mentioned using a Sieve of Eratosthenes - SoE and @Luigi Plinge has mentioned that this should be done using functional code, so @netzwerg has posted a non-SoE version; here, I post a "almost" functional version of the SoE using completely immutable state except for the contents of a mutable BitSet (mutable rather than immutable for performance) that I posted as an answer to another question:
object SoE {
def makeSoE_Primes(top: Int): Iterator[Int] = {
val topndx = (top - 3) / 2
val nonprms = new scala.collection.mutable.BitSet(topndx + 1)
def cullp(i: Int) = {
import scala.annotation.tailrec; val p = i + i + 3
@tailrec def cull(c: Int): Unit = if (c <= topndx) { nonprms += c; cull(c + p) }
cull((p * p - 3) >>> 1)
}
(0 to (Math.sqrt(top).toInt - 3) >>> 1).filterNot { nonprms }.foreach { cullp }
Iterator.single(2) ++ (0 to topndx).filterNot { nonprms }.map { i: Int => i + i + 3 }
}
}
As schmmd mentions, you want it to be tail recursive, and you also want it to be lazy. Fortunately there is a perfect data-structure for this: Stream.
This is a very efficient prime calculator implemented as a Stream, with a few optimisations:
object Prime {
def is(i: Long): Boolean =
if (i == 2) true
else if ((i & 1) == 0) false // efficient div by 2
else prime(i)
def primes: Stream[Long] = 2 #:: prime3
private val prime3: Stream[Long] = {
@annotation.tailrec
def nextPrime(i: Long): Long =
if (prime(i)) i else nextPrime(i + 2) // tail
def next(i: Long): Stream[Long] =
i #:: next(nextPrime(i + 2))
3 #:: next(5)
}
// assumes not even, check evenness before calling - perf note: must pass partially applied >= method
def prime(i: Long): Boolean =
prime3 takeWhile (math.sqrt(i).>= _) forall { i % _ != 0 }
}
Prime.is is the prime check predicate, and Prime.primes returns a Stream of all prime numbers. prime3 is where the Stream is computed, using the prime predicate to check for all prime divisors less than the square root of i.
A sieve method is your best bet for small lists of numbers (up to 10-100 million or so). see: Sieve of Eratosthenes
Even if you want to find much larger numbers, you can use the list you generate with this method as divisors for testing numbers up to n^2, where n is the limit of your list.
def primeNumber(range: Int): Unit ={
val primeNumbers: immutable.IndexedSeq[AnyVal] =
for (number :Int <- 2 to range) yield {
val isPrime = !Range(2, Math.sqrt(number).toInt).exists(x => number % x == 0)
if(isPrime) number
}
for(prime <- primeNumbers) println(prime)
}