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  1. productCE :: forall (m :: Type -> Type) mono o . (Monad m, MonoFoldable mono, Num (Element mono)) => ConduitT mono o m (Element mono)

    classy-prelude-conduit ClassyPrelude.Conduit

    Get the product of all elements in the chunked stream.

  2. productNameAdjective :: Fake Text

    fakedata Faker.Commerce

    No documentation available.

  3. productNameMaterial :: Fake Text

    fakedata Faker.Commerce

    No documentation available.

  4. productNameProduct :: Fake Text

    fakedata Faker.Commerce

    No documentation available.

  5. productE :: forall a s e (m :: Type -> Type) . Num a => Wire s e m (Event a) (Event a)

    netwire Control.Wire.Event

    Product of all events.

    • Depends: now.

  6. package product-profunctors

    product-profunctors Product profunctors and tools for working with them

  7. production :: ConstraintSet

    sbv Documentation.SBV.Examples.Optimization.Production

    Taken from http://people.brunel.ac.uk/~mastjjb/jeb/or/morelp.html A company makes two products (X and Y) using two machines (A and B).

    • Each unit of X that is produced requires 50 minutes processing time on machine A and 30 minutes processing time on machine B.
    • Each unit of Y that is produced requires 24 minutes processing time on machine A and 33 minutes processing time on machine B.
    • At the start of the current week there are 30 units of X and 90 units of Y in stock. Available processing time on machine A is forecast to be 40 hours and on machine B is forecast to be 35 hours.
    • The demand for X in the current week is forecast to be 75 units and for Y is forecast to be 95 units.
    • Company policy is to maximise the combined sum of the units of X and the units of Y in stock at the end of the week.
    How much of each product should we make in the current week? We have:
    >>> optimize Lexicographic production
    Optimal model:
    X     = 45 :: Integer
    Y     =  6 :: Integer
    stock =  1 :: Integer
    
    That is, we should produce 45 X's and 6 Y's, with the final maximum stock of just 1 expected!

  8. productOfEdgesInBoundedWalk :: (SemiRing e, Ord n) => (e -> Occurrence) -> Graph n e -> n -> n -> Occurrence -> Maybe e

    Agda Agda.TypeChecking.Positivity.Occurrence

    productOfEdgesInBoundedWalk occ g u v bound returns a value distinct from Nothing iff there is a walk c (a list of edges) in g, from u to v, for which the product foldr1 otimes (map occ c) <= bound. In this case the returned value is Just (foldr1 otimes c) for one such walk c. Preconditions: u and v must belong to g, and bound must belong to the domain of boundToEverySome.

  9. product' :: Expr -> Expr

    code-conjure Conjure.Engine

    product of Int elements lifted over the Expr type.

    > product' xxs
    product xs :: Int
    
    > evl (product' $ expr [1,2,3::Int]) :: Int
    6
    

  10. product' :: Expr -> Expr

    code-conjure Conjure.Expr

    product of Int elements lifted over the Expr type.

    > product' xxs
    product xs :: Int
    
    > evl (product' $ expr [1,2,3::Int]) :: Int
    6
    

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