1 ## More detailed differences between Scheme, OCaml, and Haskell ##
3 Here is comparison of the syntax for declaring types in Haskell and OCaml:
6 data Pretty a b = Lovely a | Cute b ClothingModule.ButtonType
7 newtype Pretty a b = Pretty a b Int
8 newtype Pretty a b = Pretty { unPretty a }
9 type Pretty a b = (a, b)
12 type ('a,'b) pretty = Lovely of 'a | Cute of 'b * ClothingModule.ButtonType
13 type ('a,'b) pretty = Pretty of 'a * 'b * int
14 type ('a,'b) pretty = Pretty of 'a
15 type ('a,'b) pretty = 'a * 'b
18 *Will explain later, and add more material.*
20 Until we do, have a look at our [page on translating between OCaml Scheme and Haskell](http://lambda1.jimpryor.net/translating_between_OCaml_Scheme_and_Haskell) from the first time we offered this seminar.
23 The functional programming literature tends to use one of four languages: Scheme, OCaml, Standard ML (SML), or Haskell. With experience, you'll grow comfortable switching between these. At the beginning, though, it can be confusing.
25 The easiest translations are between OCaml and SML. These languages are both derived from a common ancestor, ML. For the most part, the differences between them are only superficial. [Here's a translation manual](http://www.mpi-sws.org/~rossberg/sml-vs-ocaml.html).
27 In some respects these languages are closer to Scheme than to Haskell: Scheme, OCaml and SML all default to call-by-value evaluation order, and all three have native syntax for mutation and other imperative idioms (though that's not central to their design). Haskell is different in both respects: the default evaluation order is call-by-name (strictly speaking, it's "call-by-need", which is a more efficient cousin), and the only way to have mutation or the like is through the use of monads.
29 On both sides, however, the non-default evaluation order can also be had by using special syntax. And in other respects, OCaml and SML are more like Haskell than they are like Scheme. For example, OCaml and SML and Haskell all permit you to declare types and those types are *statically checked*: that is, your program won't even start to be interpreted unless all the types are consistent. In Scheme, on the other hand, type-checking only happens when your program is running, and the language is generally much laxer about what it accepts as well typed. (There's no problem having a list of mixed numbers and booleans, for example... and you don't need to wrap them in any sum type to do so.)
31 Additionally, the syntax of OCaml and SML is superficially much closer to Haskell's than to Scheme's.
33 #Comments, Whitespace, and Brackets#
35 -- this is a single line comment in Haskell
41 (* this is a single or multiline
44 ; this is a single line comment in Scheme
52 (comment out (a block) (of Scheme code))))
54 * Haskell is sensitive to linespace and indentation: it matters how your code is lined up. OCaml and Scheme don't care about this, though they recommend following some conventions for readability.
56 * In Haskell, a block of code can be bracketed with `{` and `}`, with different expressions separated by `;`. But usually one would use line-breaks and proper indentation instead. In OCaml, separating expressions with `;` has a different meaning, having to do with how side-effects are sequenced. Instead, one can bracket a block of code with `(` and `)` or with `begin` and `end`. In Scheme, of course, every parentheses is significant.
61 * You can [try Scheme in your web browser](http://tryscheme.sourceforge.net/). This is useful if you don't have Racket or another Scheme implementation installed---but don't expect it to have all the bells and whistles of a mature implementation!
63 * **Type Variants and Pattern Matching** If you want to reproduce this kind of OCaml code:
65 # type lambda_expression = Var of char | Lam of char * lambda_expression | App of lambda_expression * lambda_expression;;
67 # let rec free_vars (expr : lambda_expression) : char list =
69 | Var label -> [label]
70 | Lam (label, body) -> remove label (free_vars body)
71 | App (left, right) -> merge (free_vars left) (free_vars right);;
73 # free_vars (Lam ('x', (App (Var 'x', Var 'y'))));;
76 in Scheme, you have two choices. First, the quick hack:
78 ; we use the symbols 'var and 'lam as tags, and assume
79 ; that an expression will always be a pair of one of these forms:
81 ; (cons (cons 'lam symbol) expression)
82 ; (cons expression expression)
84 (define (free-vars expr)
86 [(eq? (car expr) 'var) (list (cdr expr))]
87 [(and? (pair? (car expr)) (eq? (car (car expr)) 'lam))
88 (remove (cdr (car expr)) (free-vars (cdr expr)))]
89 [else (merge (free-vars (car expr)) (free-vars (cdr expr)))]))
91 Second, you can create real datatypes and pattern-match on them. There are several tools for doing this. I'll describe the `define-datatype` and `cases` forms developed for the book *Essentials of Programming Languages* (EoPL) by Friedman and Wand.
93 (Alternatives include [the `struct` form in Racket](http://docs.racket-lang.org/guide/define-struct.html). Also `define-record-type` from srfi-9 and srfi-57; see also [the r6rs libs](http://docs.racket-lang.org/r6rs-lib-std/r6rs-lib-Z-H-7.html).)
95 Here is how the tools from EoPL work. You must begin your file either with `#lang eopl` or with the first two lines below:
100 (define-datatype lambda-expression lambda-expression?
101 (var (label symbol?))
102 (lam (label symbol?) (body lambda-expression?))
103 (app (left lambda-expression?) (right lambda-expression?)))
105 (define (free-vars expr)
106 (cases lambda-expression expr
107 (var (label) (list label))
108 (lam (label body) (remove label (free-vars body)))
109 (app (left right) (remove-duplicates (append (free-vars left) (free-vars right))))))
111 (free-vars (lam 'x (app (var 'x) (var 'y))))
114 * Scheme has excellent support for working with implicit or "first-class" **continuations**, using either `call/cc` or any of various delimited continuation operators. See [the Racket docs](http://docs.racket-lang.org/reference/cont.html?q=shift&q=do#%28part._.Classical_.Control_.Operators%29).
116 In Scheme you can use these forms by default (they're equivalent):
118 (call/cc (lambda (k) ...))
121 If your program declares `(require racket/control)`, you can also use:
123 (begin ... (reset ... (shift k ...) ...) ...)
125 (begin ... (prompt ... (control k ...) ...) ...)
127 (begin ... (prompt ... (abort value) ...) ...)
129 These last three forms are also available in OCaml, but to use them you'll need to compile and install Oleg Kiselyov's "delimcc" or "caml-shift" library (these names refer to the same library), which you can find [here](http://okmij.org/ftp/continuations/implementations.html#caml-shift). You'll already need to have OCaml installed. It also helps if you already have the findlib package installed, too, [as we discuss here](http://lambda.jimpryor.net/how_to_get_the_programming_languages_running_on_your_computer/). If you're not familiar with how to compile software on your computer, this might be beyond your reach for the time being.
131 But assuming you do manage to compile and install Oleg's library, here's how you'd use it in an OCaml session:
133 #require "delimcc";; (* loading Oleg's library this way requires the findlib package *)
134 (* if you don't have findlib, you'll need to start ocaml like
135 * this instead: ocaml -I /path/to/directory/containing/delimcc delimcc.cma
137 open Delimcc;; (* this lets you say e.g. new_prompt instead of Delimcc.new_prompt *)
138 let p = new_prompt ();;
139 let prompt thunk = push_prompt p thunk;;
144 shift p (fun k -> ...)
147 control p (fun k -> ...)
155 There is also a library for using *undelimited* continuations in OCaml, but it's shakier than Oleg's delimited continuation library.
157 There are some more hints about Scheme [here](/assignment8/) and [here](/week1/). We won't say any more here.
163 We will however try to give some general advice about how to translate between OCaml and Haskell.
165 * Again, it may sometimes be useful to [try Haskell in your web browser](http://tryhaskell.org/)
166 * There are many Haskell tutorials and textbooks available. This is probably the most actively developed: [Haskell wikibook](http://en.wikibooks.org/wiki/Haskell)
167 * [Yet Another Haskell Tutorial](http://www.cs.utah.edu/~hal/docs/daume02yaht.pdf) (much of this excellent book has supposedly been integrated into the Haskell wikibook)
168 * All About Monads has supposedly also been integrated into the Haskell wikibook
169 * (A not-so-)[Gentle Introduction to Haskell](http://web.archive.org/web/http://www.haskell.org/tutorial/) (archived)
170 * [Learn You a Haskell for Great Good](http://learnyouahaskell.com/)
171 * [Another page comparing Haskell and OCaml](http://blog.ezyang.com/2010/10/ocaml-for-haskellers/)
175 * In Haskell, you say a value has a certain type with: `value :: type`. You express the operation of prepending a new `int` to a list of `int`s with `1 : other_numbers`. In OCaml it's the reverse: you say `value : type` and `1 :: other_numbers`.
177 * In Haskell, type names and constructors both begin with capital letters, and type variables always appear after their constructors, in Curried form. And the primary term for declaring a new type is `data` (short for [[!wikipedia algebraic data type]]). So we have:
179 data Either a b = Left a | Right b;
180 data FooType a b = Foo_constructor1 a b | Foo_constructor2 a b;
182 In printed media, Haskell type variables are often written using Greek letters, like this:
184 <pre><code>type Either α β = Left α | Right β
187 Some terminology: in this type declaration, `Either` is known as a *type-constructor*, since it takes some types <code>α</code> and <code>β</code> as arguments and yields a new type. We call <code>Left α</code> one of the *variants* for the type <code>Either α β</code>. `Left` and `Right` are known as *value constructors* or *data constructors* or just *constructors*. You can use `Left` in any context where you need a function, for example:
191 In OCaml, value constructors are still capitalized, but type names are lowercase. Type variables take the form `'a` instead of `a`, and if there are multiple type variables, they're not Curried but instead have to be grouped in a tuple. The syntax for whether they appear first or second is also somewhat different. So we have instead:
193 type ('a,'b) either = Left of 'a | Right of 'b;;
194 type ('a,'b) foo_type = Foo_constructor1 of 'a * 'b | Foo_constructor2 of 'a * 'b;;
196 In OCaml, constructors aren't full-fledged functions, so you need to do this instead:
198 List.map (fun x -> Left x) [1; 2]
200 Apart from these differences, there are many similarities between Haskell's and OCaml's use of constructors. For example, in both languages you can do:
202 let Left x = Left 1 in x + 1
204 * In addition to the `data` keyword, Haskell also sometimes uses `type` and `newtype` to declare types. `type` is used just to introduce synonyms. If you say:
206 type Weight = Integer
207 type Person = (Name, Address) -- supposing types Name and Address to be declared elsewhere
209 then you can use a value of type `Integer` wherever a `Weight` is expected, and vice versa. <!-- `type` is allowed to be parameterized -->
211 `newtype` and `data` on the other hand, create genuinely new types. `newtype` is basically just an efficient version of `data` that you can use in special circumstances. `newtype` must always take one type argument and have one value constructor. For example:
213 newtype PersonalData a = PD a
217 data PersonalData2 a = PD2 a
219 And `data` also allows multiple type arguments, and multiple variants and value constructors. <!-- Subtle difference: whereas `PersonalData a` is isomorphic to `a`, `PersonalData2 a` has an additional value, namely `PD2 _|_`. In a strict language, this is an additional type an expression can have, but it would not be a value. -->
221 OCaml just uses the one keyword `type` for all of these purposes:
224 type person = name * address;;
225 type 'a personal_data = PD of 'a;;
227 * When a type only has a single variant, as with PersonalData, Haskell programmers will often use the same name for both the type and the value constructor, like this:
229 data PersonalData3 a = PersonalData3 a
231 The interpreter can always tell from the context when you're using the type name and when you're using the value constructor.
233 * The type constructors discussed above took simple types as arguments. In Haskell, types are also allowed to take *type constructors* as arguments:
235 data BarType t = Bint (t Integer) | Bstring (t string)
237 One does this for example when defining monad transformers---the type constructor `ReaderT` takes some base monad's type constructor as an argument.
239 The way to do this this in OCaml is less straightforward. [See here](/code/tree_monadize.ml) for an example.
241 * Haskell has a notion of *type-classes*. They look like this:
244 (==) :: a -> a -> Bool
246 This declares the type-class `Eq`; in order to belong to this class, a type `a` will have to supply its own implementation of the function `==`, with the type `a -> a -> Bool`. Here is how the `Integer` class signs up to join this type-class:
248 instance Eq Integer where
249 x == y = ... some definition for the Integer-specific version of that function here ...
251 Type expressions can be conditional on some of their parameters belonging to certain type-classes. For example:
253 elem :: (Eq a) => a -> [a] -> Bool
255 says that the function `elem` is only defined over types `a` that belong to the type-class `Eq`. For such types `a`, `elem` has the type `a -> [a] -> Bool`.
259 instance (Eq a) => Eq (Tree a) where
260 Leaf a == Leaf b = a == b
261 (Branch l1 r1) == (Branch l2 r2) = (l1==l2) && (r1==r2)
264 says that if `a` belongs to the typeclass `Eq`, then so too does `Tree a`, and in such cases here is the implementation of `==` for `Tree a`...
266 * OCaml doesn't have type-classes. You can do something similar with OCaml modules that take are parameterized on other modules. Again, [see here](/code/tree_monadize.ml) for an example.
269 * Some specific differences in how certain types are expressed. This block in Haskell:
271 Prelude> type Maybe a = Nothing | Just a
272 Prelude> let x = [] :: [Int]
275 Prelude> let x = () :: ()
276 Prelude> let x = (1, True) :: (Int, Bool)
278 corresponds to this block in OCaml:
280 # type 'a option = None | Some of 'a;;
281 type 'a option = None | Some of 'a
282 # let (x : int list) = [];;
283 val x : int list = []
284 # let (x : unit) = ();;
286 # let (x : int * bool) = (1, true);;
287 val x : int * bool = (1, true)
289 * Haskell has a plethora of numerical types, including the two types `Int` (integers limited to a machine-dependent range) and `Integer` (unbounded integers). The same arithmetic operators (`+` and so on) work for all of these. OCaml also has several different numerical types (though not as many). In OCaml, by default, one has to use a different numerical operator for each type:
294 Error: This expression has type float but an expression was expected of type int
298 However the comparison operators are polymorphic. You can equally say:
309 But you must still apply these operators to expressions of the same type:
312 Error: This expression has type int but an expression was expected of type float
314 * We'll discuss differences between Haskell's and OCaml's record types below.
317 ##Lists, Tuples, Unit, Booleans##
319 * As noted above, Haskell describes the type of a list of `Int`s as `[Int]`. OCaml describes it as `int list`. Haskell describes the type of a pair of `Int`s as `(Int, Int)`. OCaml describes it as `int * int`. Finally, Haskell uses `()` to express both the unit type and a value of that type. In OCaml, one uses `()` for the value and `unit` for the type.
321 * Haskell describes the boolean type as `Bool` and its variants are `True` and `False`. OCaml describes the type as `bool` and its variants are `true` and `false`. This is an inconsistency in OCaml: other value constructors must always be capitalized.
323 * As noted above, in Haskell one builds up a list by saying `1 : [2, 3]`. In OCaml one says `1 :: [2; 3]`. In Haskell, one can test whether a list is empty with either:
328 In OCaml, there is no predefined `null` or `isempty` function. One can still test whether a list is empty using the comparison `lst = []`.
330 * In Haskell, the expression `[1..5]` is the same as `[1,2,3,4,5]`, and the expression `[0..]` is a infinite lazily-evaluated stream of the natural numbers. In OCaml, there is no `[1..5]` shortcut, lists must be finite, and they are eagerly evaluated. It is possible to create lazy streams in OCaml, even infinite ones, but you have to use other techniques than the native list type.
332 * Haskell has *list comprehensions*:
334 [ x * x | x <- [1..10], odd x]
336 In OCaml, one has to write this out longhand:
338 List.map (fun x -> x * x) (List.filter odd [1..10]);;
340 * In Haskell, the expressions `"abc"` and `['a','b','c']` are equivalent. (Strings are just lists of `char`s.) In OCaml, these expressions have two different types.
342 Haskell uses the operator `++` for appending both strings and lists (since Haskell strings are just one kind of list). OCaml uses different operators:
344 # "string1" ^ "string2";;
345 - : string = "string1string2"
346 # ['s';'t'] @ ['r';'i';'n';'g'];;
347 - : char list = ['s'; 't'; 'r'; 'i'; 'n'; 'g']
348 # (* or equivalently *)
349 List.append ['s';'t'] ['r';'i';'n';'g'];;
350 - : char list = ['s'; 't'; 'r'; 'i'; 'n'; 'g']
355 * Haskell permits both:
364 foo x = result1 + result2
365 where result1 = x * x
372 in let result2 = x + 1
373 in result1 + result2;;
379 # let (x, y) as both = (1, 2)
381 - : (int * int) * int * int = ((1, 2), 1, 2)
386 let both@(x,y) = (1, 2)
391 match list_expression with
392 | y::_ when odd y -> result1
393 | y::_ when y > 5 -> result2
394 | y::_ as whole -> (whole, y)
399 case list_expression of
400 (y:_) | odd y -> result1
402 whole@(y:_) -> (whole, y)
408 Haskell and OCaml both have `records`, which are essentially just tuples with a pretty interface. We introduced these in the wiki notes [here](/coroutines_and_aborts/).
410 The syntax for declaring and using these is a little bit different in the two languages.
412 * In Haskell one says:
414 -- declare a record type
415 data Color = Col { red, green, blue :: Int }
416 -- create a value of that type
417 let c = Col { red = 0, green = 127, blue = 255 }
419 In OCaml one says instead:
421 type color = { red : int; green : int; blue : int };;
422 let c = { red = 0; green = 127; blue = 255 }
424 Notice that OCaml doesn't use any value constructor `Col`. The record syntax `{ red = ...; green = ...; blue = ... }` is by itself the constructor. The record labels `red`, `green`, and `blue` cannot be re-used for any other record type.
426 * In Haskell, one may have multiple constructors for a single record type, and one may re-use record labels within that type, so long as the labels go with fields of the same type:
428 data FooType = Constructor1 {f :: Int, g :: Float} | Constructor2 {f :: Int, h :: Bool}
430 * In Haskell, one can extract a single field of a record like this:
432 let c = Col { red = 0, green = 127, blue = 255 }
433 in red c -- evaluates to 0
437 let c = { red = 0; green = 127; blue = 255 }
438 in c.red (* evaluates to 0 *)
440 * In both languages, there is a special syntax for creating a copy of an existing record, with some specified fields altered. In Haskell:
442 let c2 = c { green = 50, blue = 50 }
443 -- evaluates to Col { red = red c, green = 50, blue = 50 }
447 let c2 = { c with green = 50; blue = 50 }
448 (* evaluates to { red = c.red; green = 50; blue = 50 }
450 * One pattern matches on records in similar ways. In Haskell:
452 let Col { red = r, green = g } = c
457 let { red = r; green = g; _ } = c
462 makegray c@(Col { red = r } ) = c { green = r, blue = r }
466 makegray c = let Col { red = r } = c
467 in { red = r, green = r, blue = r }
471 # let makegray ({ red = r; _ } as c) = { c with green=r; blue=r };;
472 val makegray : color -> color = <fun>
473 # makegray { red = 0; green = 127; blue = 255 };;
474 - : color = {red = 0; green = 0; blue = 0}
476 * Records just give your types a pretty interface; they're entirely dispensable. Instead of:
478 type color = { red : int; green : int; blue : int };;
479 let c = { red = 0; green = 127; blue = 255 };;
482 You could instead just use a more familiar data constructor:
484 type color = Color of (int * int * int);;
485 let c = Color (0, 127, 255);;
487 and then extract the field you want using pattern-matching:
489 let Color (r, _, _) = c;;
491 match c with Color (r, _, _) -> ...
493 (Or you could just use bare tuples, without the `Color` data constructor.)
495 The record syntax only exists because programmers sometimes find it more convenient to say:
499 than to reach for those pattern-matching constructions.
505 * In Haskell functions are assumed to be recursive, and their types and applications to values matching different patterns are each declared on different lines. So we have:
507 factorial :: int -> int
509 factorial n = n * factorial (n-1)
511 In OCaml you must explicitly say when a function is recursive; and this would be written instead as:
513 let rec factorial (n : int) : int =
516 | x -> x * factorial (x-1)
520 let rec factorial : int -> int =
521 fun n -> match n with
523 | x -> x * factorial (x-1)
525 or (though we recommend not using this last form):
527 let rec factorial : int -> int =
530 | x -> x * factorial (x-1)
532 * Another example, in Haskell:
534 length :: [a] -> Integer
536 length (x:xs) = 1 + length xs
540 let rec length : 'a list -> int =
541 fun lst -> match lst with
543 | x::xs -> 1 + length xs
545 * Another example, in Haskell:
553 let sign x = match x with
554 | x' when x' > 0 -> 1
555 | x' when x' = 0 -> 0
558 * In Haskell the equality comparison operator is `==`, and the non-equality operator is `/=`. In OCaml, `==` expresses "physical identity", which has no analogue in Haskell because Haskell has no mutable types. See our discussion of "Four grades of mutation involvement" in the [[Week9]] notes. In OCaml the operator corresponding to Haskell's `==` is just `=`, and the corresponding non-equality operator is `<>`.
560 * In both Haskell and OCaml, one can use many infix operators as prefix functions by parenthesizing them. So for instance:
564 will work in both languages. One notable exception is that in OCaml you can't do this with the list constructor `::`:
568 # (fun x xs -> x :: xs) 1 [1; 2];;
569 - : int list = [1; 1; 2]
571 * Haskell also permits two further shortcuts here that OCaml has no analogue for. In Haskell, in addition to writing:
575 you can also write either of:
580 In OCaml one has to write these out longhand:
585 Also, in Haskell, there's a special syntax for using what are ordinarily prefix functions as infix operators:
587 Prelude> elem 1 [1, 2]
589 Prelude> 1 `elem` [1, 2]
592 In OCaml one can't do that. There's only:
594 # List.mem 1 [1; 2];;
597 * In Haskell one writes anonymous functions like this:
605 * Haskell uses the period `.` as a composition operator:
611 In OCaml one has to write it out longhand:
615 * In Haskell, expressions like this:
623 (Think of the period in our notation for the untyped lambda calculus.)
625 * The names of standard functions, and the order in which they take their arguments, may differ. In Haskell:
628 foldr :: (a -> b -> b) -> b -> [a] -> b
633 - : ('a -> 'b -> 'b) -> 'a list -> 'b -> 'b = <fun>
635 * Some functions are predefined in Haskell but not in OCaml. Here are OCaml definitions for some common ones:
639 let flip f x y = f y x;;
640 let curry (f : ('a, 'b) -> 'c) = fun x y -> f (x, y);;
641 let uncurry (f : 'a -> 'b -> 'c) = fun (x, y) -> f x y;;
642 let null lst = lst = [];;
644 `fst` and `snd` (defined only on pairs) are provided in both languages. Haskell has `head` and `tail` for lists; these will raise an exception if applied to `[]`. In OCaml the corresponding functions are `List.hd` and `List.tl`. Many other Haskell list functions like `length` are available in OCaml as `List.length`, but OCaml's standard libraries are leaner that Haskell's.
646 * The `until` function in Haskell is used like this:
648 until (\l -> length l == 4) (1 : ) []
649 -- evaluates to [1,1,1,1]
651 until (\x -> x == 10) succ 0
654 This can be defined in OCaml as:
656 let rec until test f z =
657 if test z then z else until test f (f z)
662 * As we've mentioned several times, Haskell's evaluation is by default *lazy* or "call-by-need" (that's an efficient version of "call-by-name" that avoids computing the same results again and again). In some places Haskell will force evaluation to be *eager* or "strict". This is done in several different ways; the symbols `!` and `seq` are signs that it's being used.
664 * Like Scheme and most other languages, OCaml is by default eager. Laziness can be achieved either by using thunks:
666 # let eval_later1 () = 2 / 2;;
667 val eval_later1 : unit -> int = <fun>
668 # let eval_later2 () = 2 / 0;;
669 val eval_later2 : unit -> int = <fun>
673 Exception: Division_by_zero.
675 or by using the special forms `lazy` and `Lazy.force`:
677 # let eval_later3 = lazy (2 / 2);;
678 val eval_later3 : int lazy_t = <lazy>
679 # Lazy.force eval_later3;;
682 - : int lazy_t = lazy 1
684 Notice in the last line the value is reported as being `lazy 1` instead of `<lazy>`. Since the value has once been forced, it won't ever need to be recomputed. The thunks are less efficient in this respect. Even though OCaml will now remember what `eval_later3` should be forced to, `eval_later3` is still type-distinct from a plain `int`.
689 Haskell has more built-in support for monads, but one can define the monads one needs in OCaml.
691 * In our seminar, we've been calling one monadic operation `unit`; in Haskell the same operation is called `return`. We've been calling another monadic operation `bind`, used in prefix form, like this:
695 In Haskell, one uses the infix operator `>>=` to express bind instead:
699 If you like this Haskell convention, you can define `>>=` in OCaml like this:
703 * Haskell also uses the operator `>>`, where `u >> v` means the same as `u >>= \_ -> v`.
705 * In Haskell, one can generally just use plain `return` and `>>=` and the interpreter will infer what monad you must be talking about from the surrounding type constraints. In OCaml, you generally need to be specific about which monad you're using. So in these notes, when mutiple monads are on the table, we've defined operations as `reader_unit` and `reader_bind`, and so on.
707 * Haskell has a special syntax for working conveniently with monads. It looks like this. Assume `u` `v` and `w` are values of some monadic type `M a`. Then `x` `y` and `z` will be variables of type `a`:
716 This is equivalent in meaning to the following:
724 which can be translated straightforwardly into OCaml.
726 For more details, see:
728 * [Haskell wikibook on do-notation](http://en.wikibooks.org/wiki/Haskell/do_Notation)
729 * [Yet Another Haskell Tutorial on do-notation](http://en.wikibooks.org/wiki/Haskell/YAHT/Monads#Do_Notation)
730 * [Do-notation considered harmful](http://www.haskell.org/haskellwiki/Do_notation_considered_harmful)
732 * If you like the Haskell do-notation, there's [a library](http://www.cas.mcmaster.ca/~carette/pa_monad/) you can compile and install to let you use something similar in OCaml.
734 * In order to do any printing, Haskell has to use a special `IO` monad. So programs will look like this:
738 let s = "hello world"
743 let s = "hello world"
748 main = let s = "hello world"
749 in putStrLn s >> return s
751 OCaml permits you to mix side-effects with regular code, so you can just print, without needing to bring in any monad:
754 let s = "hello world"
755 in let () = print_endline s
761 let s = "hello world"
762 in print_endline s ; s;;