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package cyclops.companion.vavr;

import com.aol.cyclops.vavr.hkt.ListKind;
import cyclops.control.Maybe;
import cyclops.conversion.vavr.FromCyclopsReact;
import cyclops.monads.VavrWitness;
import cyclops.monads.VavrWitness.vector;
import cyclops.collections.vavr.VavrVectorX;
import com.aol.cyclops.vavr.hkt.VectorKind;
import com.aol.cyclops2.hkt.Higher;
import com.aol.cyclops2.types.anyM.AnyMSeq;
import cyclops.function.Fn3;
import cyclops.function.Fn4;
import cyclops.function.Monoid;
import cyclops.monads.AnyM;
import cyclops.monads.WitnessType;
import cyclops.monads.transformers.ListT;
import cyclops.stream.ReactiveSeq;
import cyclops.typeclasses.Active;
import cyclops.typeclasses.InstanceDefinitions;
import cyclops.typeclasses.Nested;
import cyclops.typeclasses.Pure;
import cyclops.typeclasses.comonad.Comonad;
import cyclops.typeclasses.foldable.Foldable;
import cyclops.typeclasses.foldable.Unfoldable;
import cyclops.typeclasses.functor.Functor;
import cyclops.typeclasses.instances.General;
import cyclops.typeclasses.monad.*;
import io.vavr.collection.List;
import io.vavr.collection.Vector;
import lombok.experimental.UtilityClass;
import org.jooq.lambda.tuple.Tuple2;

import java.util.Optional;
import java.util.function.*;


public class Vectors {

    public static > ListT liftM(Vector opt, W witness) {
        return ListT.ofList(witness.adapter().unit(VavrVectorX.ofAll(opt)));
    }
   
    public static  AnyMSeq anyM(Vector option) {
        return AnyM.ofSeq(option, vector.INSTANCE);
    }
    /**
     * Perform a For Comprehension over a Vector, accepting 3 generating functions.
     * This results in a four level nested internal iteration over the provided Publishers.
     *
     *  
     * {@code
     *
     *   import static cyclops.Vectors.forEach4;
     *
    forEach4(IntVector.range(1,10).boxed(),
    a-> Vector.iterate(a,i->i+1).limit(10),
    (a,b) -> Vector.of(a+b),
    (a,b,c) -> Vector.just(a+b+c),
    Tuple::tuple)
     *
     * }
     * 
* * @param value1 top level Vector * @param value2 Nested Vector * @param value3 Nested Vector * @param value4 Nested Vector * @param yieldingFunction Generates a result per combination * @return Vector with an element per combination of nested publishers generated by the yielding function */ public static Vector forEach4(Vector value1, Function> value2, BiFunction> value3, Fn3> value4, Fn4 yieldingFunction) { return value1.flatMap(in -> { Vector a = value2.apply(in); return a.flatMap(ina -> { Vector b = value3.apply(in,ina); return b.flatMap(inb -> { Vector c = value4.apply(in,ina,inb); return c.map(in2 -> yieldingFunction.apply(in, ina, inb, in2)); }); }); }); } /** * Perform a For Comprehension over a Vector, accepting 3 generating function. * This results in a four level nested internal iteration over the provided Publishers. *
     * {@code
     *
     *  import static com.aol.cyclops2.reactor.Vectores.forEach4;
     *
     *  forEach4(IntVector.range(1,10).boxed(),
    a-> Vector.iterate(a,i->i+1).limit(10),
    (a,b) -> Vector.just(a+b),
    (a,b,c) -> Vector.just(a+b+c),
    (a,b,c,d) -> a+b+c+d <100,
    Tuple::tuple);
     *
     * }
     * 
* * @param value1 top level Vector * @param value2 Nested Vector * @param value3 Nested Vector * @param value4 Nested Vector * @param filterFunction A filtering function, keeps values where the predicate holds * @param yieldingFunction Generates a result per combination * @return Vector with an element per combination of nested publishers generated by the yielding function */ public static Vector forEach4(Vector value1, Function> value2, BiFunction> value3, Fn3> value4, Fn4 filterFunction, Fn4 yieldingFunction) { return value1.flatMap(in -> { Vector a = value2.apply(in); return a.flatMap(ina -> { Vector b = value3.apply(in,ina); return b.flatMap(inb -> { Vector c = value4.apply(in,ina,inb); return c.filter(in2->filterFunction.apply(in,ina,inb,in2)) .map(in2 -> yieldingFunction.apply(in, ina, inb, in2)); }); }); }); } /** * Perform a For Comprehension over a Vector, accepting 2 generating function. * This results in a three level nested internal iteration over the provided Publishers. * *
     * {@code
     *
     * import static Vectors.forEach3;
     *
     * forEach(IntVector.range(1,10).boxed(),
    a-> Vector.iterate(a,i->i+1).limit(10),
    (a,b) -> Vector.of(a+b),
    Tuple::tuple);
     *
     * }
     * 
* * * @param value1 top level Vector * @param value2 Nested Vector * @param value3 Nested Vector * @param yieldingFunction Generates a result per combination * @return Vector with an element per combination of nested publishers generated by the yielding function */ public static Vector forEach3(Vector value1, Function> value2, BiFunction> value3, Fn3 yieldingFunction) { return value1.flatMap(in -> { Vector a = value2.apply(in); return a.flatMap(ina -> { Vector b = value3.apply(in,ina); return b.map(in2 -> yieldingFunction.apply(in, ina, in2)); }); }); } /** * Perform a For Comprehension over a Vector, accepting 2 generating function. * This results in a three level nested internal iteration over the provided Publishers. *
     * {@code
     *
     * import static Vectors.forEach;
     *
     * forEach(IntVector.range(1,10).boxed(),
    a-> Vector.iterate(a,i->i+1).limit(10),
    (a,b) -> Vector.of(a+b),
    (a,b,c) ->a+b+c<10,
    Tuple::tuple)
    .toVectorX();
     * }
     * 
* * @param value1 top level Vector * @param value2 Nested publisher * @param value3 Nested publisher * @param filterFunction A filtering function, keeps values where the predicate holds * @param yieldingFunction Generates a result per combination * @return */ public static Vector forEach3(Vector value1, Function> value2, BiFunction> value3, Fn3 filterFunction, Fn3 yieldingFunction) { return value1.flatMap(in -> { Vector a = value2.apply(in); return a.flatMap(ina -> { Vector b = value3.apply(in,ina); return b.filter(in2->filterFunction.apply(in,ina,in2)) .map(in2 -> yieldingFunction.apply(in, ina, in2)); }); }); } /** * Perform a For Comprehension over a Vector, accepting an additonal generating function. * This results in a two level nested internal iteration over the provided Publishers. * *
     * {@code
     *
     *  import static Vectors.forEach2;
     *  forEach(IntVector.range(1, 10).boxed(),
     *          i -> Vector.range(i, 10), Tuple::tuple)
    .forEach(System.out::println);

    //(1, 1)
    (1, 2)
    (1, 3)
    (1, 4)
    ...
     *
     * }
* * @param value1 top level Vector * @param value2 Nested publisher * @param yieldingFunction Generates a result per combination * @return */ public static Vector forEach2(Vector value1, Function> value2, BiFunction yieldingFunction) { return value1.flatMap(in -> { Vector a = value2.apply(in); return a.map(in2 -> yieldingFunction.apply(in, in2)); }); } /** * *
     * {@code
     *
     *   import static Vectors.forEach2;
     *
     *   forEach(IntVector.range(1, 10).boxed(),
     *           i -> Vector.range(i, 10),
     *           (a,b) -> a>2 && b<10,
     *           Tuple::tuple)
    .forEach(System.out::println);

    //(3, 3)
    (3, 4)
    (3, 5)
    (3, 6)
    (3, 7)
    (3, 8)
    (3, 9)
    ...

     *
     * }
* * * @param value1 top level Vector * @param value2 Nested publisher * @param filterFunction A filtering function, keeps values where the predicate holds * @param yieldingFunction Generates a result per combination * @return */ public static Vector forEach2(Vector value1, Function> value2, BiFunction filterFunction, BiFunction yieldingFunction) { return value1.flatMap(in -> { Vector a = value2.apply(in); return a.filter(in2->filterFunction.apply(in,in2)) .map(in2 -> yieldingFunction.apply(in, in2)); }); } public static Active allTypeclasses(Vector array){ return Active.of(VectorKind.widen(array), Vectors.Instances.definitions()); } public static Nested mapM(Vector array, Function> fn, InstanceDefinitions defs){ Vector> e = array.map(fn); VectorKind> lk = VectorKind.widen(e); return Nested.of(lk, Vectors.Instances.definitions(), defs); } /** * Companion class for creating Type Class instances for working with Vectors * */ @UtilityClass public static class Instances { public static InstanceDefinitions definitions() { return new InstanceDefinitions() { @Override public Functor functor() { return Instances.functor(); } @Override public Pure unit() { return Instances.unit(); } @Override public Applicative applicative() { return Instances.zippingApplicative(); } @Override public Monad monad() { return Instances.monad(); } @Override public Maybe> monadZero() { return Maybe.just(Instances.monadZero()); } @Override public Maybe> monadPlus() { return Maybe.just(Instances.monadPlus()); } @Override public Maybe> monadPlus(Monoid> m) { return Maybe.just(Instances.monadPlus(m)); } @Override public Maybe> traverse() { return Maybe.just(Instances.traverse()); } @Override public Maybe> foldable() { return Maybe.just(Instances.foldable()); } @Override public Maybe> comonad() { return Maybe.none(); } @Override public Maybe> unfoldable() { return Maybe.just(Instances.unfoldable()); } }; } /** * * Transform a list, mulitplying every element by 2 * *
         * {@code
         *  VectorKind list = Vectors.functor().map(i->i*2, VectorKind.widen(Arrays.asVector(1,2,3));
         *
         *  //[2,4,6]
         *
         *
         * }
         * 
* * An example fluent api working with Vectors *
         * {@code
         *   VectorKind list = Vectors.unit()
        .unit("hello")
        .then(h->Vectors.functor().map((String v) ->v.length(), h))
        .convert(VectorKind::narrowK);
         *
         * }
         * 
* * * @return A functor for Vectors */ public static Functor functor(){ BiFunction,Function,VectorKind> map = Instances::map; return General.functor(map); } /** *
         * {@code
         * VectorKind list = Vectors.unit()
        .unit("hello")
        .convert(VectorKind::narrowK);

        //Arrays.asVector("hello"))
         *
         * }
         * 
* * * @return A factory for Vectors */ public static Pure unit(){ return General.unit(VectorKind::of); } /** * *
         * {@code
         * import static com.aol.cyclops.hkt.jdk.VectorKind.widen;
         * import static com.aol.cyclops.util.function.Lambda.l1;
         * import static java.util.Arrays.asVector;
         *
        Vectors.zippingApplicative()
        .ap(widen(asVector(l1(this::multiplyByTwo))),widen(asVector(1,2,3)));
         *
         * //[2,4,6]
         * }
         * 
* * * Example fluent API *
         * {@code
         * VectorKind> listFn =Vectors.unit()
         *                                                  .unit(Lambda.l1((Integer i) ->i*2))
         *                                                  .convert(VectorKind::narrowK);

        VectorKind list = Vectors.unit()
        .unit("hello")
        .then(h->Vectors.functor().map((String v) ->v.length(), h))
        .then(h->Vectors.zippingApplicative().ap(listFn, h))
        .convert(VectorKind::narrowK);

        //Arrays.asVector("hello".length()*2))
         *
         * }
         * 
* * * @return A zipper for Vectors */ public static Applicative zippingApplicative(){ BiFunction>,VectorKind,VectorKind> ap = Instances::ap; return General.applicative(functor(), unit(), ap); } /** * *
         * {@code
         * import static com.aol.cyclops.hkt.jdk.VectorKind.widen;
         * VectorKind list  = Vectors.monad()
        .flatMap(i->widen(VectorX.range(0,i)), widen(Arrays.asVector(1,2,3)))
        .convert(VectorKind::narrowK);
         * }
         * 
* * Example fluent API *
         * {@code
         *    VectorKind list = Vectors.unit()
        .unit("hello")
        .then(h->Vectors.monad().flatMap((String v) ->Vectors.unit().unit(v.length()), h))
        .convert(VectorKind::narrowK);

        //Arrays.asVector("hello".length())
         *
         * }
         * 
* * @return Type class with monad functions for Vectors */ public static Monad monad(){ BiFunction,Function>,Higher> flatMap = Instances::flatMap; return General.monad(zippingApplicative(), flatMap); } /** * *
         * {@code
         *  VectorKind list = Vectors.unit()
        .unit("hello")
        .then(h->Vectors.monadZero().filter((String t)->t.startsWith("he"), h))
        .convert(VectorKind::narrowK);

        //Arrays.asVector("hello"));
         *
         * }
         * 
* * * @return A filterable monad (with default value) */ public static MonadZero monadZero(){ return General.monadZero(monad(), VectorKind.widen(Vector.empty())); } /** *
         * {@code
         *  VectorKind list = Vectors.monadPlus()
        .plus(VectorKind.widen(Arrays.asVector()), VectorKind.widen(Arrays.asVector(10)))
        .convert(VectorKind::narrowK);
        //Arrays.asVector(10))
         *
         * }
         * 
* @return Type class for combining Vectors by concatenation */ public static MonadPlus monadPlus(){ Monoid> m = Monoid.of(VectorKind.widen(Vector.empty()), Instances::concat); Monoid> m2= (Monoid)m; return General.monadPlus(monadZero(),m2); } /** * *
         * {@code
         *  Monoid> m = Monoid.of(VectorKind.widen(Arrays.asVector()), (a,b)->a.isEmpty() ? b : a);
        VectorKind list = Vectors.monadPlus(m)
        .plus(VectorKind.widen(Arrays.asVector(5)), VectorKind.widen(Arrays.asVector(10)))
        .convert(VectorKind::narrowK);
        //Arrays.asVector(5))
         *
         * }
         * 
* * @param m Monoid to use for combining Vectors * @return Type class for combining Vectors */ public static MonadPlus monadPlus(Monoid> m){ Monoid> m2= (Monoid)m; return General.monadPlus(monadZero(),m2); } public static MonadPlus monadPlusK(Monoid> m){ Monoid> m2= (Monoid)m; return General.monadPlus(monadZero(),m2); } /** * @return Type class for traversables with traverse / sequence operations */ public static Traverse traverse(){ BiFunction,VectorKind>,Higher>> sequenceFn = (ap, list) -> { Higher> identity = ap.unit(VectorKind.widen(Vector.empty())); BiFunction>,Higher,Higher>> combineToVector = (acc, next) -> ap.apBiFn(ap.unit((a, b) -> VectorKind.widen(VectorKind.narrow(a).append(b))), acc,next); BinaryOperator>> combineVectors = (a, b)-> ap.apBiFn(ap.unit((l1, l2)-> VectorKind.widen(VectorKind.narrow(l1).appendAll(l2.narrow()))),a,b); ; return ReactiveSeq.fromIterable(VectorKind.narrow(list)) .reduce(identity, combineToVector, combineVectors); }; BiFunction,Higher>,Higher>> sequenceNarrow = (a,b) -> VectorKind.widen2(sequenceFn.apply(a, VectorKind.narrowK(b))); return General.traverse(zippingApplicative(), sequenceNarrow); } /** * *
         * {@code
         * int sum  = Vectors.foldable()
        .foldLeft(0, (a,b)->a+b, VectorKind.widen(Arrays.asVector(1,2,3,4)));

        //10
         *
         * }
         * 
* * * @return Type class for folding / reduction operations */ public static Foldable foldable(){ BiFunction,Higher,T> foldRightFn = (m, l)-> ReactiveSeq.fromIterable(VectorKind.narrow(l)).foldRight(m); BiFunction,Higher,T> foldLeftFn = (m, l)-> ReactiveSeq.fromIterable(VectorKind.narrow(l)).reduce(m); return General.foldable(foldRightFn, foldLeftFn); } private static VectorKind concat(VectorKind l1, VectorKind l2){ return VectorKind.widen(l1.appendAll(VectorKind.narrow(l2))); } private static VectorKind ap(VectorKind> lt, VectorKind list){ return VectorKind.widen(FromCyclopsReact.fromStream(ReactiveSeq.fromIterable(lt.narrow()).zip(list.narrow(), (a, b)->a.apply(b))).toVector()); } private static Higher flatMap(Higher lt, Function> fn){ return VectorKind.widen(VectorKind.narrow(lt).flatMap(fn.andThen(VectorKind::narrow))); } private static VectorKind map(VectorKind lt, Function fn){ return VectorKind.widen(VectorKind.narrow(lt).map(in->fn.apply(in))); } public static Unfoldable unfoldable(){ return new Unfoldable() { @Override public Higher unfold(T b, Function>> fn) { return VectorKind.widen(ReactiveSeq.unfold(b,fn).collect(Vector.collector())); } }; } } }




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