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Merge pull request #429 from sshine/master

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[standard-ml/en-en] Mainly, adding this language as it doesn't exist.
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Adam Bard 2013-12-02 15:49:07 -08:00
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@ -4,9 +4,9 @@ contributors:
- ["Adit Bhargava", "http://adit.io"]
---
Haskell was designed as a practical, purely functional programming language. It's famous for
its monads and its type system, but I keep coming back to it because of its elegance. Haskell
makes coding a real joy for me.
Haskell was designed as a practical, purely functional programming
language. It's famous for its monads and its type system, but I keep coming back
to it because of its elegance. Haskell makes coding a real joy for me.
```haskell
-- Single line comments start with two dashes.
@ -401,7 +401,9 @@ Hello, Friend!
```
There's a lot more to Haskell, including typeclasses and monads. These are the big ideas that make Haskell such fun to code in. I'll leave you with one final Haskell example: an implementation of quicksort in Haskell:
There's a lot more to Haskell, including typeclasses and monads. These are the
big ideas that make Haskell such fun to code in. I'll leave you with one final
Haskell example: an implementation of quicksort in Haskell:
```haskell
qsort [] = []

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---
language: Standard ML
contributors:
- ["Simon Shine", "http://shine.eu.org/"]
lang: en-en
---
Standard ML is a functional programming language with type inference and some
side-effects. Some of the hard parts of learning Standard ML are: Recursion,
pattern matching, type inference (guessing the right types but never allowing
implicit type conversion). If you have an imperative background, not being able
to update variables can feel severely inhibiting.
```sml
(* Comments in Standard ML begin with (* and end with *). Comments can be
nested which means that all (* tags must end with a *) tag. This comment
contains two nested comments. *)
(* A Standard ML program consists of declarations, e.g. value declarations: *)
val rent = 1200
val phone_no = 5551337
val pi = 3.14159
val negative_number = ~15 (* Yeah, unary minus is a so-called 'tilde' *)
(* And just as importantly, functions: *)
fun is_large(x : int) = if x > 37 then true else false
(* Floating-point numbers are called "reals". *)
val tau = 2.0 * pi (* You can multiply reals *)
val twice_rent = 2 * rent (* You can multiply ints *)
(* val meh = 1.25 * 10 *) (* But you can't multiply an int and a real *)
(* +, - and * are overloaded so they work for both int and real. *)
(* The same cannot be said for division which has separate operators: *)
val real_division = 14.0 / 4.0 (* gives 3.5 *)
val int_division = 14 div 4 (* gives 3, rounding down *)
val int_remainder = 14 mod 4 (* gives 2, since 3*4 = 12 *)
(* ~ is actually sometimes a function (e.g. when put in front of variables) *)
val negative_rent = ~(rent) (* Would also have worked if rent were a "real" *)
(* There are also booleans and boolean operators *)
val got_milk = true
val got_bread = false
val has_breakfast = got_milk andalso got_bread (* Yes, it's called andalso *)
val has_something = got_milk orelse got_bread (* Yes, it's called orelse *)
val is_sad = not(has_something) (* not is a function *)
(* Many values can be compared using equality operators: = and <> *)
val pays_same_rent = (rent = 1300) (* false *)
val is_wrong_phone_no = (phone_no <> 5551337) (* false *)
(* The operator <> is what most other languages call != *)
(* Actually, most of the parentheses above are unnecessary. Here are some
different ways to say some of the things mentioned above: *)
fun is_large x = x > 37 (* The parens above were necessary because of ': int' *)
val is_sad = not has_something
val pays_same_rent = rent = 1300 (* Looks confusing, but works *)
val is_wrong_phone_no = phone_no <> 5551337
val negative_rent = ~rent (* ~ rent (notice the space) would also work *)
(* Parens are mostly necessary when grouping things: *)
val some_answer = is_large (5 + 5) (* Without parens, this would break! *)
(* val some_answer = is_large 5 + 5 *) (* Read as: (is_large 5) + 5. Bad! *)
(* Besides booleans, ints and reals, Standard ML also has chars and strings: *)
val foo = "Hello, World!\n" (* The \n is the escape sequence for linebreaks *)
val one_letter = #"a" (* That funky syntax is just one character, a *)
val combined = "Hello " ^ "there, " ^ "fellow!\n" (* Concatenate strings *)
val _ = print foo (* You can print things. We are not interested in the *)
val _ = print combined (* result of this computation, so we throw it away. *)
(* val _ = print one_letter *) (* Only strings can be printed this way *)
val bar = [ #"H", #"e", #"l", #"l", #"o" ] (* SML also has lists! *)
(* val _ = print bar *) (* Lists are unfortunately not the same as strings *)
(* Fortunately they can be converted. String is a library and implode and size
are functions available in that library that take strings as argument. *)
val bob = String.implode bar (* gives "Hello" *)
val bob_char_count = String.size bob (* gives 5 *)
val _ = print (bob ^ "\n") (* For good measure, add a linebreak *)
(* You can have lists of any kind *)
val numbers = [1, 3, 3, 7, 229, 230, 248] (* : int list *)
val names = [ "Fred", "Jane", "Alice" ] (* : string list *)
val groups = [ [ "Alice", "Bob" ],
[ "Huey", "Dewey", "Louie" ],
[ "Bonnie", "Clyde" ] ] (* : string list list *)
val number_count = List.length numbers (* gives 7 *)
(* You can put single values in front of lists of the same kind *)
val more_numbers = 13 :: numbers (* gives [13, 1, 3, 3, 7, ...] *)
val more_groups = ["Batman","Superman"] :: groups
(* Lists of the same kind can be appended using the @ ("append") operator *)
val guest_list = [ "Mom", "Dad" ] @ [ "Aunt", "Uncle" ]
(* This could have been done with the :: operator (pronounced "cons") *)
val guest_list = "Mom" :: "Dad" :: [ "Aunt", "Uncle" ]
(* If you have many lists of the same kind, you can concatenate them all *)
val everyone = List.concat groups (* [ "Alice", "Bob", "Huey", ... ] *)
(* A list can contain any (finite) amount of values *)
val lots = [ 5, 5, 5, 6, 4, 5, 6, 5, 4, 5, 7, 3 ] (* still just an int list *)
(* Lists can only contain one kind of thing... *)
(* val bad_list = [ 1, "Hello", 3.14159 ] : ??? list *)
(* Tuples, on the other hand, can contain a fixed number of different things *)
val person1 = ("Simon", 28, 3.14159) (* : string * int * real *)
(* You can even have tuples inside lists and lists inside tuples *)
val likes = [ ("Alice", "ice cream"),
("Bob", "hot dogs"),
("Bob", "Alice") ] (* : (string * string) list *)
val mixup = [ ("Alice", 39),
("Bob", 37),
("Eve", 41) ] (* : (string * int) list *)
val good_bad_stuff =
(["ice cream", "hot dogs", "chocolate"],
["liver", "paying the rent" ]) (* string list * string list *)
(* Functions! *)
fun add_them (a, b) = a + b (* A simple function that adds two numbers *)
val test_it = add_them (3, 4) (* gives 7 *)
(* Larger functions are usually broken into several lines for readability *)
fun thermometer temp =
if temp < 37
then "Cold"
else if temp > 37
then "Warm"
else "Normal"
val test_thermo = thermometer 40 (* gives "Warm" *)
(* if-sentences are actually expressions and not statements/declarations.
A function body can only contain one expression. There are some tricks
for making a function do more than just one thing, though. *)
(* A function can call itself as part of its result (recursion!) *)
fun fibonacci n =
if n = 0 then 0 else (* Base case *)
if n = 1 then 1 else (* Base case *)
fibonacci (n - 1) + fibonacci (n - 2) (* Recursive case *)
(* Sometimes recursion is best understood by evaluating a function by hand:
fibonacci 4
~> fibonacci (4 - 1) + fibonacci (4 - 2)
~> fibonacci 3 + fibonacci 2
~> (fibonacci (3 - 1) + fibonacci (3 - 2)) + fibonacci 2
~> (fibonacci 2 + fibonacci 1) + fibonacci 2
~> ((fibonacci (2 - 1) + fibonacci (2 - 2)) + fibonacci 1) + fibonacci 2
~> ((fibonacci 1 + fibonacci 0) + fibonacci 1) + fibonacci 2
~> ((1 + fibonacci 0) + fibonacci 1) + fibonacci 2
~> ((1 + 0) + fibonacci 1) + fibonacci 2
~> (1 + fibonacci 1) + fibonacci 2
~> (1 + 1) + fibonacci 2
~> 2 + fibonacci 2
~> 2 + (fibonacci (2 - 1) + fibonacci (2 - 2))
~> 2 + (fibonacci (2 - 1) + fibonacci (2 - 2))
~> 2 + (fibonacci 1 + fibonacci 0)
~> 2 + (1 + fibonacci 0)
~> 2 + (1 + 0)
~> 2 + 1
~> 3 which is the 4th Fibonacci number, according to this definition
*)
(* A function cannot change the variables it can refer to. It can only
temporarily shadow them with new variables that have the same names. In this
sense, variables are really constants and only behave like variables when
dealing with recursion. For this reason, variables are also called value
bindings. An example of this: *)
val x = 42
fun answer(question) =
if question = "What is the meaning of life, the universe and everything?"
then x
else raise Fail "I'm an exception. Also, I don't know what the answer is."
val x = 43
val hmm = answer "What is the meaning of life, the universe and everything?"
(* Now, hmm has the value 42. This is because the function answer refers to
the copy of x that was visible before its own function definition. *)
(* Functions can take several arguments by taking one tuples as argument: *)
fun solve2 (a : real, b : real, c : real) =
( Math.sqrt (~b + Math.sqrt(b * b - 4.0*a*c) / (2.0 * a),
Math.sqrt (~b - Math.sqrt(b * b - 4.0*a*c) / (2.0 * a) )
(* Sometimes, the same computation is carried out several times. It makes sense
to save and re-use the result the first time. We can use "let-bindings": *)
fun solve2 (a : real, b : real, c : real) =
let val discr = b * b - 4.0*a*c
val sqr = Math.sqrt d
val denom = 2.0 * a
in (~b + sq / denom,
~b - sq / denom) end
(* Pattern matching is a funky part of functional programming. It is an
alternative to if-sentences. The fibonacci function can be rewritten: *)
fun fibonacci 0 = 0 (* Base case *)
| fibonacci 1 = 1 (* Base case *)
| fibonacci n = fibonacci (n - 1) + fibonacci (n - 2) (* Recursive case *)
(* Pattern matching is also possible on composite types like tuples and lists.
Writing "fun solve2 (a, b, c) = ..." is in fact a pattern match on the one
three-tuple solve2 takes as argument. Similarly, but less intuitively, you
can match on a list consisting of elements in it (from the beginning of the
list only). *)
fun first_elem (x::xs) = x
fun second_elem (x::y::xs) = y
fun evenly_positioned_elems (odd::even::xs) = even::evenly_positioned_elems xs
| evenly_positioned_elems [odd] = [] (* Base case: throw away *)
| evenly_positioned_elems [] = [] (* Base case *)
(* Higher order functions: Functions can take other functions as arguments.
Functions are just other kinds of values, and functions don't need names
to exist. Functions without names are called "anonymous functions" or
lambda expressions or closures (since they also have a lexical scope). *)
val is_large = (fn x => x > 37)
val add_them = fn (a,b) => a + b
val thermometer =
fn temp => if temp < 37
then "Cold"
else if temp > 37
then "Warm"
else "Normal"
(* The following uses an anonymous function directly and gives "ColdWarm" *)
val some_result = (fn x => thermometer (x - 5) ^ thermometer (x + 5)) 37
(* Here is a higher-order function that works on lists (a list combinator) *)
val readings = [ 34, 39, 37, 38, 35, 36, 37, 37, 37 ] (* first an int list *)
val opinions = List.map thermometer readings (* gives [ "Cold", "Warm", ... ] *)
(* And here is another one for filtering lists *)
val warm_readings = List.filter is_large readings (* gives [39, 38] *)
(* You can create your own higher-order functions, too. Functions can also take
several arguments by "currying" them. Syntax-wise this means adding spaces
between function arguments instead of commas and surrounding parentheses. *)
fun map f [] = []
| map f (x::xs) = f(x) :: map f xs
(* map has type ('a -> 'b) -> 'a list -> 'b list and is called polymorphic. *)
(* 'a is called a type variable. *)
(* Datatypes are useful for creating both simple and complex structures *)
datatype color = Red | Green | Blue
(* Here is a function that takes one of these as argument *)
fun say(col) =
if col = Red then "You are red!" else
if col = Green then "You are green!" else
if col = Blue then "You are blue!" else
raise Fail "Unknown color"
(* Datatypes are very often used in combination with pattern matching *)
fun say Red = "You are red!"
| say Green = "You are green!"
| say Blue = "You are blue!"
| _ = raise Fail "Unknown color"
(* Here is a binary tree datatype *)
datatype 'a btree = Leaf of 'a
| Node of 'a btree * 'a * 'a btree (* three-arg constructor *)
(* Here is a binary tree *)
val myTree = Node (Leaf 9, 8, Node (Leaf 3, 5, Leaf 7))
(* Drawing it, it might look something like...
8
/ \
leaf -> 9 5
/ \
leaf -> 3 7 <- leaf
*)
(* This function counts the sum of all the elements in a tree *)
fun count (Leaf n) = n
| count (Node (leftTree, n, rightTree)) = count leftTree + n + count rightTree
(* File I/O! *)
(* Write a nice poem to a file *)
fun writePoem(filename) =
let val file = TextIO.openOut(filename)
val _ = TextIO.output(file, "Roses are red,\nViolets are blue.\n")
val _ = TextIO.output(file, "I have a gun.\nGet in the van.\n")
in TextIO.closeOut(file) end
(* Read a nice poem from a file into a list of strings *)
fun readPoem(filename) =
let val file = TextIO.openIn filename
val poem = TextIO.inputAll file
val _ = TextIO.closeIn file
in String.tokens (fn c => c = #"\n") poem
end
val _ = writePoem "roses.txt"
val test_poem = readPoem "roses.txt" (* gives [ "Roses are red,",
"Violets are blue.",
"I have a gun.",
"Get in the van." ] *)
~~~~
## Further learning
* Install an interactive compiler (REPL), for example
[Poly/ML](http://www.polyml.org/),
[Moscow ML](http://mosml.org)
[SML/NJ](http://smlnj.org/).
* Follow the Coursera course [Programming Languages](https://www.coursera.org/course/proglang).
* Get the book *ML for the Working Programmer* by Larry C. Paulson.