def deps do
  [{:quark, "~> 2.3"}]
end
defmodule MyModule do
  use Quark
  # ...
endElixir is a functional programming language, but it lacks some of the common built-in constructs that many other functional languages provide. This is not all-together surprising, as Elixir has a strong focus on handling the complexities of concurrency and fault-tolerance, rather than deeper functional composition of functions for reuse.
- A series of classic combinators (SKI, BCKW, and fixed-points), along with friendlier aliases
 - Fully-curried and partially applied functions
 - Macros for defining curried and partially applied functions
 - Composition helpers
- Composition operator: 
<|> 
 - Composition operator: 
 - A plethora of common functional programming primitives, including:
idflipconstpredsuccfixself_apply
 
curry creates a 0-arity function that curries an existing function. uncurry applies arguments to curried functions, or if passed a function creates a function on pairs.
Why define the function before currying it? defcurry and defcurryp return
fully-curried 0-arity functions.
defmodule Foo do
  import Quark.Curry
  defcurry div(a, b), do: a / b
  defcurryp minus(a, b), do: a - b
end
# Regular
div(10, 2)
# => 5
# Curried
div.(10).(5)
# => 2
# Partially applied
div_ten = div.(10)
div_ten.(2)
# => 5👑 We think that this is really the crowning jewel of Quark.
defpartial and defpartialp create all arities possible for the defined
function, bare, partially applied, and fully curried.
This does use up the full arity-space for that function name, however.
defmodule Foo do
  import Quark.Partial
  defpartial one(), do: 1
  defpartial minus(a, b, c), do: a - b - c
  defpartialp plus(a, b, c), do: a + b + c
end
# Normal zero-arity
one
# => 1
# Normal n-arity
minus(4, 2, 1)
# => 1
# Partially-applied first two arguments
minus(100, 5).(10)
# => 85
# Partially-applied first argument
minus(100).(10).(50)
# => 40
# Fully-curried
minus.(10).(2).(1)
# => 7Allows defining functions as straight function composition (ie: no need to state the argument). Provides a clean, composable named functions. Also doubles as an aliasing device.
defmodule Contrived do
  import Quark.Pointfree
  defx sum_plus_one, do: Enum.sum() |> fn x -> x + 1 end.()
end
Contrived.sum_plus_one([1,2,3])
#=> 7Compose functions to do convenient partial applications. Versions for composing left-to-right and right-to-left are provided
The operator <|> is done "the math way" (right-to-left).
The operator <~> is done "the flow way" (left-to-right).
Versions on lists also available.
import Quark.Compose
# Regular Composition
sum_plus_one = fn x -> x + 1 end <|> &Enum.sum/1
sum_plus_one.([1,2,3])
#=> 7
add_one = &(&1 + 1)
piped = fn x -> x |> Enum.sum |> add_one.() end
composed = add_one <|> &Enum.sum/1
piped.([1,2,3]) == composed.([1,2,3])
#=> true
sum_plus_one = (&Enum.sum/1) <~> fn x -> x + 1 end
sum_plus_one.([1,2,3])
#=> 7
# Reverse Composition (same direction as pipe)
x200 = (&(&1 * 2)) <~> (&(&1 * 10)) <~> (&(&1 * 10))
x200.(5)
#=> 1000
add_one = &(&1 + 1)
piped = fn x -> x |> Enum.sum() |> add_one.() end
composed = (&Enum.sum/1) <~> add_one
piped.([1,2,3]) == composed.([1,2,3])
#=> trueA number of basic, general functions, including id, flip, const, pred, succ, fix, and self_apply.
The SKI system combinators. s and k alone can be combined to express any
algorithm, but not usually with much efficiency.
We've aliased the names at the top-level (Quark), so you can use const
rather than having to remember what k means.
 1 |> i()
#=> 1
"identity combinator" |> i()
#=> "identity combinator"
Enum.reduce([1,2,3], [42], &k/2)
#=> 3The classic b, c, k, and w combinators. A similar "full system" as SKI,
but with some some different functionality out of the box.
As usual, we've aliased the names at the top-level (Quark).
c(&div/2).(1, 2)
#=> 2
reverse_concat = c(&Enum.concat/2)
reverse_concat.([1,2,3], [4,5,6])
#=> [4,5,6,1,2,3]
repeat = w(&Enum.concat/2)
repeat.([1,2])
#=> [1,2,1,2]Several fixed point combinators, for helping with recursion. Several formulations are provided,
but if in doubt, use fix. Fix is going to be kept as an alias to the most efficient
formulation at any given time, and thus reasonably future-proof.
fac = fn fac ->
  fn
    0 -> 0
    1 -> 1
    n -> n * fac.(n - 1)
  end
end
factorial = y(fac)
factorial.(9)
#=> 362880Really here for pred and succ on integers, by why stop there?
This works with any ordered collection via the Quark.Sequence protocol.
succ 10
#=> 11
42 |> origin() |> pred() |> pred()
#=> -2