Module

Data.Filterable

Package
purescript-filterable
Repository
LiamGoodacre/purescript-filterable

#Filterable Source

class (Compactable f, Functor f) <= Filterable f  where

Filterable represents data structures which can be partitioned/filtered.

  • partitionMap - partition a data structure based on an either predicate.
  • partition - partition a data structure based on boolean predicate.
  • filterMap - map over a data structure and filter based on a maybe.
  • filter - filter a data structure based on a boolean.

Laws:

  • Functor Relation: filterMap identity ≡ compact

  • Functor Identity: filterMap Just ≡ identity

  • Kleisli Composition: filterMap (l <=< r) ≡ filterMap l <<< filterMap r

  • filter ≡ filterMap <<< maybeBool

  • filterMap p ≡ filter (isJust <<< p)

  • Functor Relation: partitionMap identity ≡ separate

  • Functor Identity 1: _.right <<< partitionMap Right ≡ identity

  • Functor Identity 2: _.left <<< partitionMap Left ≡ identity

  • f <<< partition ≡ partitionMap <<< eitherBool where f = \{ no, yes } -> { left: no, right: yes }

  • f <<< partitionMap p ≡ partition (isRight <<< p) where f = \{ left, right } -> { no: left, yes: right}

Default implementations are provided by the following functions:

  • partitionDefault
  • partitionDefaultFilter
  • partitionDefaultFilterMap
  • partitionMapDefault
  • filterDefault
  • filterDefaultPartition
  • filterDefaultPartitionMap
  • filterMapDefault

Members

Instances

#eitherBool Source

eitherBool :: forall a. (a -> Boolean) -> a -> Either a a

Upgrade a boolean-style predicate to an either-style predicate mapping.

#partitionDefault Source

partitionDefault :: forall f a. Filterable f => (a -> Boolean) -> f a -> { no :: f a, yes :: f a }

A default implementation of partition using partitionMap.

#partitionDefaultFilter Source

partitionDefaultFilter :: forall f a. Filterable f => (a -> Boolean) -> f a -> { no :: f a, yes :: f a }

A default implementation of partition using filter. Note that this is almost certainly going to be suboptimal compared to direct implementations.

#partitionDefaultFilterMap Source

partitionDefaultFilterMap :: forall f a. Filterable f => (a -> Boolean) -> f a -> { no :: f a, yes :: f a }

A default implementation of partition using filterMap. Note that this is almost certainly going to be suboptimal compared to direct implementations.

#partitionMapDefault Source

partitionMapDefault :: forall f a l r. Filterable f => (a -> Either l r) -> f a -> { left :: f l, right :: f r }

A default implementation of partitionMap using separate. Note that this is almost certainly going to be suboptimal compared to direct implementations.

#maybeBool Source

maybeBool :: forall a. (a -> Boolean) -> a -> Maybe a

Upgrade a boolean-style predicate to a maybe-style predicate mapping.

#filterDefault Source

filterDefault :: forall f a. Filterable f => (a -> Boolean) -> f a -> f a

A default implementation of filter using filterMap.

#filterDefaultPartition Source

filterDefaultPartition :: forall f a. Filterable f => (a -> Boolean) -> f a -> f a

A default implementation of filter using partition.

#filterDefaultPartitionMap Source

filterDefaultPartitionMap :: forall f a. Filterable f => (a -> Boolean) -> f a -> f a

A default implementation of filter using partitionMap.

#filterMapDefault Source

filterMapDefault :: forall f a b. Filterable f => (a -> Maybe b) -> f a -> f b

A default implementation of filterMap using separate. Note that this is almost certainly going to be suboptimal compared to direct implementations.

#cleared Source

cleared :: forall f a b. Filterable f => f a -> f b

Filter out all values.

Re-exports from Data.Compactable

#Compactable Source

class Compactable f  where

Compactable represents data structures which can be compacted/filtered. This is a generalization of catMaybes as a new function compact. compact has relations with Functor, Applicative, Monad, Plus, and Traversable in that we can use these classes to provide the ability to operate on a data type by eliminating intermediate Nothings. This is useful for representing the filtering out of values, or failure.

To be compactable alone, no laws must be satisfied other than the type signature.

If the data type is also a Functor the following should hold:

  • Functor Identity: compact <<< map Just ≡ id

According to Kmett, (Compactable f, Functor f) is a functor from the kleisli category of Maybe to the category of Hask. Kleisli Maybe -> Hask.

If the data type is also Applicative the following should hold:

  • compact <<< (pure Just <*> _) ≡ id
  • applyMaybe (pure Just) ≡ id
  • compact ≡ applyMaybe (pure id)

If the data type is also a Monad the following should hold:

  • flip bindMaybe (pure <<< Just) ≡ id
  • compact <<< (pure <<< (Just (=<<))) ≡ id
  • compact ≡ flip bindMaybe pure

If the data type is also Plus the following should hold:

  • compact empty ≡ empty
  • compact (const Nothing <$> xs) ≡ empty

Members

Instances