ap package:universum

In many situations, the liftM operations can be replaced by uses of ap, which promotes function application.
return f `ap` x1 `ap` ... `ap` xn
is equivalent to
liftMn f x1 x2 ... xn
Lifted version of appendFile.
Convenient utils to work with Applicative. There were more functions in this module (see protolude version) but only convenient ans most used are left.
A functor with application, providing operations to
  • embed pure expressions (pure), and
  • sequence computations and combine their results (<*> and liftA2).
A minimal complete definition must include implementations of pure and of either <*> or liftA2. If it defines both, then they must behave the same as their default definitions:
(<*>) = liftA2 id
liftA2 f x y = f <$> x <*> y
Further, any definition must satisfy the following: The other methods have the following default definitions, which may be overridden with equivalent specialized implementations: As a consequence of these laws, the Functor instance for f will satisfy It may be useful to note that supposing
forall x y. p (q x y) = f x . g y
it follows from the above that
liftA2 p (liftA2 q u v) = liftA2 f u . liftA2 g v
If f is also a Monad, it should satisfy (which implies that pure and <*> satisfy the applicative functor laws).
Reverse order of bytes in Word16.
Reverse order of bytes in Word32.
Reverse order of bytes in Word64.
This function may be used as a value for fmap in a Functor instance, provided that traverse is defined. (Using fmapDefault with a Traversable instance defined only by sequenceA will result in infinite recursion.)
fmapDefault f ≡ runIdentity . traverse (Identity . f)
This function may be used as a value for foldMap in a Foldable instance.
foldMapDefault f ≡ getConst . traverse (Const . f)
The mapAccumL function behaves like a combination of fmap and foldl; it applies a function to each element of a structure, passing an accumulating parameter from left to right, and returning a final value of this accumulator together with the new structure.

Examples

Basic usage:
>>> mapAccumL (\a b -> (a + b, a)) 0 [1..10]
(55,[0,1,3,6,10,15,21,28,36,45])
>>> mapAccumL (\a b -> (a <> show b, a)) "0" [1..5]
("012345",["0","01","012","0123","01234"])
The mapAccumR function behaves like a combination of fmap and foldr; it applies a function to each element of a structure, passing an accumulating parameter from right to left, and returning a final value of this accumulator together with the new structure.

Examples

Basic usage:
>>> mapAccumR (\a b -> (a + b, a)) 0 [1..10]
(55,[54,52,49,45,40,34,27,19,10,0])
>>> mapAccumR (\a b -> (a <> show b, a)) "0" [1..5]
("054321",["05432","0543","054","05","0"])
Map each element of a structure to a monadic action, evaluate these actions from left to right, and collect the results. For a version that ignores the results see mapM_.

Examples

mapM is literally a traverse with a type signature restricted to Monad. Its implementation may be more efficient due to additional power of Monad.
Version of concatMap constrained to Container.
>>> concatMap (\x -> [x + 1, x + 2]) [1, 2, 3]
[2,3,3,4,4,5]
Constrained to Container version of mapM_.
>>> mapM_ print [True, False]
True
False
A map from keys to values. A map cannot contain duplicate keys; each key can map to at most one value.
A map of integers to values a.
A Map from keys k to values a. The Semigroup operation for Map is union, which prefers values from the left operand. If m1 maps a key k to a value a1, and m2 maps the same key to a different value a2, then their union m1 <> m2 maps k to a1.
Swap the components of a pair.
This module contains useful functions to work with Functor type class.
map generalized to Functor.
>>> map not (Just True)
Just False

>>> map not [True,False,True,True]
[False,True,False,False]
Map over both arguments at the same time.
bimap f g ≡ first f . second g

Examples

>>> bimap toUpper (+1) ('j', 3)
('J',4)
>>> bimap toUpper (+1) (Left 'j')
Left 'J'
>>> bimap toUpper (+1) (Right 3)
Right 4
fmap is used to apply a function of type (a -> b) to a value of type f a, where f is a functor, to produce a value of type f b. Note that for any type constructor with more than one parameter (e.g., Either), only the last type parameter can be modified with fmap (e.g., b in `Either a b`). Some type constructors with two parameters or more have a Bifunctor instance that allows both the last and the penultimate parameters to be mapped over.

Examples

Convert from a Maybe Int to a Maybe String using show:
>>> fmap show Nothing
Nothing

>>> fmap show (Just 3)
Just "3"
Convert from an Either Int Int to an Either Int String using show:
>>> fmap show (Left 17)
Left 17

>>> fmap show (Right 17)
Right "17"
Double each element of a list:
>>> fmap (*2) [1,2,3]
[2,4,6]
Apply even to the second element of a pair:
>>> fmap even (2,2)
(2,True)
It may seem surprising that the function is only applied to the last element of the tuple compared to the list example above which applies it to every element in the list. To understand, remember that tuples are type constructors with multiple type parameters: a tuple of 3 elements (a,b,c) can also be written (,,) a b c and its Functor instance is defined for Functor ((,,) a b) (i.e., only the third parameter is free to be mapped over with fmap). It explains why fmap can be used with tuples containing values of different types as in the following example:
>>> fmap even ("hello", 1.0, 4)
("hello",1.0,True)