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MarkovChain.scala
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MarkovChain.scala
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/*
* Copyright 2021 Arman Bilge
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package schrodinger.montecarlo
import fs2.Stream
trait MarkovChain[F[_], G[_], A] {
def markovChain(initial: A)(transition: A => G[A]): F[A]
}
object MarkovChain {
inline def apply[F[_], G[_], A](initial: A)(transition: A => G[A])(using
mc: MarkovChain[F, G, A],
): F[A] = mc.markovChain(initial)(transition)
given [F[_], A]: MarkovChain[Stream[F, _], F, A] with {
def markovChain(initial: A)(transition: A => F[A]) =
Stream.iterateEval(initial)(transition)
}
}