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Early termination

As explained in Functional Programming in Scala, Second Edition

Early termination is stopping an operation as soon as its result is determined without processing the remaining input.

Early termination stops a computation once its result is determined, leaving the remaining input unevaluated. With a lazy foldRight, the combining function receives the recursive result by name, so a successful predicate can avoid traversing the tail. section 5.3

Searching a LazyList

Define exists with foldRight: foldRight(false)((a, b) => p(a) || b). When p(a) is true, || does not evaluate b, so the traversal terminates immediately. A strict foldRight would need a specialized recursive exists implementation instead. section 5.3

The same design supports several incremental operations:

  • Implement forAll so the first nonmatching value ends the traversal. section 5.3
  • Use foldRight for takeWhile, headOption, map, filter, append, and flatMap; generated results need only enough evaluation to satisfy the next consumer. section 5.3
  • Apply the pattern to infinite lazy sequences, where partial evaluation makes operations such as take, foldRight, and exists usable. section 5.6

In stream processing, early termination also means discarding the unconsumed source. Any stream that consumes another stream must run the discarded stream’s cleanup actions before halting, whether termination follows exhaustion, early stopping, or an exception. section 15.3.3

def scope: Stream[F, O] =
  Pull.OpenScope(self, None)
 
def take(n: Int): Stream[F, O] =
  self.take(n).void.scope

The scoped take operation connects bounded consumption with cleanup-aware stream interpretation. section 15.3.3

How Functional Programming in Scala, Second Edition covers it

How deep it goes
Explains lazy evaluation, foldRight reuse, incremental generation, and scope-based cleanup, but defers some interpreter implementation details.
Examples
Demonstrates exists, forAll, takeWhile, bounded stream consumption, and file-backed streams requiring cleanup.
What it assumes
Assumes predicates, folds, and stream consumption while introducing laziness, partial evaluation, scopes, and finalizers.
What you can do after
Apply the technique through lazy folds and scoped streams while preserving incremental evaluation and resource cleanup.
How it connects
Connects laziness with foldRight, short-circuiting, infinite sequences, stream scopes, resource safety, and finalization.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Functional Programming in Scala, Second Edition. The section links point to the parts of the book it draws on.