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trait Loop[M[_], R, A, B, C] extends AnyRef

Generalisation of Recurse and StateRecurse

The loop defines some state with an initial value which is maintained at each step of the interpretation.

A is the type of Eff values to interpret, and B is the result of the interpretation (generally an other Eff value)

C is the type of result for "last" actions.

- the interpretation of a Pure value either returns the final result or possibly one more Eff value to interpret

- onEffect interprets one effect and possibly uses the continuation to produce the next value to interpret. If no X can be used to run the continuation we might just output one final B value

  • onLastEffect interprets the last effect of an Eff value. The only difference with onEffect is the fact that last actions return Unit values (and not A values)
  • onApplicativeEff interprets a list of effects and possibly uses the continuation to get to the next value to interpret. If no interpretation can be done, a B value might be returned
  • onLastApplicativeEffect does the same thing for last actions
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  1. abstract type S

Abstract Value Members

  1. abstract val init: S
  2. abstract def onApplicativeEffect[X, T[_]](xs: T[M[X]], continuation: Arrs[R, T[X], A], s: S)(implicit arg0: Traverse[T]): Either[(Eff[R, A], S), B]
  3. abstract def onEffect[X](x: M[X], continuation: Arrs[R, X, A], s: S): Either[(Eff[R, A], S), B]
  4. abstract def onLastApplicativeEffect[X, T[_]](xs: T[M[X]], continuation: Arrs[R, T[X], Unit], s: S)(implicit arg0: Traverse[T]): Either[(Eff[R, Unit], S), C]
  5. abstract def onLastEffect[X](x: M[X], continuation: Arrs[R, X, Unit], s: S): Either[(Eff[R, Unit], S), C]
  6. abstract def onPure(a: A, s: S): Either[(Eff[R, A], S), B]

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