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author | Jakob Kaivo <jkk@ung.org> | 2022-03-04 12:32:20 -0500 |
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committer | Jakob Kaivo <jkk@ung.org> | 2022-03-04 12:32:20 -0500 |
commit | 55f277e77428d7423ae906a8e1f1324d35b07a7d (patch) | |
tree | 5c1c04703dff89c46b349025d2d3ec88ea9b3819 /miralib/manual/100 |
import Miranda 2.066 from upstream
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diff --git a/miralib/manual/100 b/miralib/manual/100 new file mode 100644 index 0000000..83fbe5b --- /dev/null +++ b/miralib/manual/100 @@ -0,0 +1,578 @@ +FROM SIGPLAN NOTICES, 21(12):158-166, December 1986. (C) D.A.Turner + + + _A_n_ _O_v_e_r_v_i_e_w_ _o_f_ _M_i_r_a_n_d_a + + David Turner + Computing Laboratory + University of Kent + Canterbury CT2 7NF + ENGLAND + + +Miranda is an advanced functional programming system which runs under +the UNIX operating system (*). The aim of the Miranda system is to +provide a modern functional language, embedded in a convenient +programming environment, suitable both for teaching and as a general +purpose programming tool. The purpose of this short article is to give +a brief overview of the main features of Miranda. The topics we shall +discuss, in order, are: + + Basic ideas + The Miranda programming environment + Guarded equations and block structure + Pattern matching + Currying and higher order functions + List comprehensions + Lazy evaluation and infinite lists + Polymorphic strong typing + User defined types + Type synonyms + Abstract data types + Separate compilation and linking + Current implementation status + +(*) _N_o_t_e: UNIX is a trademark of AT&T Bell Laboratories, Miranda is a + trademark of Research Software Ltd. + +_B_a_s_i_c_ _i_d_e_a_s + The Miranda programming language is purely functional - there are no +side effects or imperative features of any kind. A program (actually we +don't call it a program, we call it a "script") is a collection of +equations defining various functions and data structures which we are +interested in computing. The order in which the equations are given is +not in general significant. There is for example no obligation for the +definition of an entity to precede its first use. Here is a very simple +example of a Miranda script: + z = sq x / sq y + sq n = n * n + x = a + b + y = a - b + a = 10 + b = 5 +Notice the absence of syntactic baggage - Miranda is, by design, rather +terse. There are no mandatory type declarations, although (see later) +the language is strongly typed. There are no semicolons at the end of +definitions - the parsing algorithm makes intelligent use of layout. +Note that the notation for function application is simply juxtaposition, +as in "sq x". In the definition of the sq function, "n" is a formal +parameter - its scope is limited to the equation in which it occurs +(whereas the other names introduced above have the whole script for +their scope). + +The most commonly used data structure is the list, which in Miranda is +written with square brackets and commas, eg: + week_days = ["Mon","Tue","Wed","Thur","Fri"] + days = week_days ++ ["Sat","Sun"] +Lists may be appended by the "++" operator. Other useful operations on +lists include infix ":" which prefixes an element to the front of a +list, "#" which takes the length of a list, and infix "!" which does +subscripting. So for example 0:[1,2,3] has the value [0,1,2,3], #days +is 7, and days!0 is "Mon". + +There is also an operator "--" which does list subtraction. For example +[1,2,3,4,5] -- [2,4] is [1,3,5]. + +There is a shorthand notation using ".." for lists whose elements form +an arithmetic series. Here for example are definitions of the factorial +function, and of a number "result" which is the sum of the odd numbers +between 1 and 100 (sum and product are library functions): + fac n = product [1..n] + result = sum [1,3..100] + +The elements of a list must all be of the same type. A sequence of +elements of mixed type is called a tuple, and is written using +parentheses instead of square brackets. Example + employee = ("Jones",True,False,39) +Tuples are analogous to records in Pascal (whereas lists are analogous +to arrays). Tuples cannot be subscripted - their elements are extracted +by pattern matching (see later). + +_T_h_e_ _p_r_o_g_r_a_m_m_i_n_g_ _e_n_v_i_r_o_n_m_e_n_t + The Miranda system is interactive and runs under UNIX as a self +contained subsystem. The basic action is to evaluate expressions, +supplied by the user at the terminal, in the environment established by +the current script. For example evaluating "z" in the context of the +first script given above would produce the result "9.0". + +The Miranda compiler works in conjunction with an editor (by default +this is "vi" but it can be set to any editor of the user's choice). +Scripts are automatically recompiled after edits, and any syntax or type +errors signalled immediately. The polymorphic type system permits a +high proportion of logical errors to be detected at compile time. + +There is quite a large library of standard functions. There is also an +online reference manual. The interface to UNIX permits Miranda programs +to take data from, and send data to, UNIX files and it is also possible +to invoke Miranda programs directly from the UNIX shell and to combine +them, via UNIX pipes, with processes written in other languages. + +_G_u_a_r_d_e_d_ _e_q_u_a_t_i_o_n_s_ _a_n_d_ _b_l_o_c_k_ _s_t_r_u_c_t_u_r_e + An equation can have several alternative right hand sides distinguished +by "guards" - the guard is written on the right following a comma. For +example the greatest common divisor function can be written: + gcd a b = gcd (a-b) b, _i_f a>b + = gcd a (b-a), _i_f a<b + = a, _i_f a=b + +The last guard in such a series of alternatives can be written +"_o_t_h_e_r_w_i_s_e", instead of "_i_f condition", to indicate a default case(*). + +It is also permitted to introduce local definitions on the right hand +side of a definition, by means of a "where" clause. Consider for +example the following definition of a function for solving quadratic +equations (it either fails or returns a list of one or two real roots): + + quadsolve a b c = error "complex roots", _i_f delta<0 + = [-b/(2*a)], _i_f delta=0 + = [-b/(2*a) + radix/(2*a), + -b/(2*a) - radix/(2*a)], _i_f delta>0 + _w_h_e_r_e + delta = b*b - 4*a*c + radix = sqrt delta + +Where clauses may occur nested, to arbitrary depth, allowing Miranda +programs to be organised with a nested block structure. Indentation of +inner blocks is compulsory, as layout information is used by the parser. + +(*) _N_o_t_e: In early versions of Miranda the keyword _i_f was not required. + +_P_a_t_t_e_r_n_ _m_a_t_c_h_i_n_g + It is permitted to define a function by giving several alternative +equations, distinguished by the use of different patterns in the formal +parameters. This provides another method of doing case analysis which +is often more elegant than the use of guards. We here give some simple +examples of pattern matching on natural numbers, lists and tuples. +Here is (another) definition of the factorial function, and a definition +of Ackermann's function: + fac 0 = 1 + fac (n+1) = (n+1) * fac n + + ack 0 n = n+1 + ack (m+1) 0 = ack m 1 + ack (m+1) (n+1) = ack m (ack (m+1) n) + +Here is a (naive) definition of a function for computing the n'th +Fibonacci number: + fib 0 = 0 + fib 1 = 1 + fib (n+2) = fib (n+1) + fib n + +Here are some simple examples of functions defined by pattern matching +on lists: + sum [] = 0 + sum (a:x) = a + sum x + + product [] = 1 + product (a:x) = a * product x + + reverse [] = [] + reverse (a:x) = reverse x ++ [a] + +Accessing the elements of a tuple is also done by pattern matching. For +example the selection functions on 2-tuples can be defined thus + fst (a,b) = a + snd (a,b) = b + +As final examples we give the definitions of two Miranda library +functions, take and drop, which return the first n members of a list, +and the rest of the list without the first n members, respectively + take 0 x = [] + take (n+1) [] = [] + take (n+1) (a:x) = a : take n x + + drop 0 x = x + drop (n+1) [] = [] + drop (n+1) (a:x) = drop n x + +Notice that the two functions are defined in such a way that that the +following identity always holds - "take n x ++ drop n x = x" - including +in the pathological case that the length of x is less than n. + +_C_u_r_r_y_i_n_g_ _a_n_d_ _h_i_g_h_e_r_ _o_r_d_e_r_ _f_u_n_c_t_i_o_n_s + Miranda is a fully higher order language - functions are first class +citizens and can be both passed as parameters and returned as results. +Function application is left associative, so when we write "f x y" it is +parsed as "(f x) y", meaning that the result of applying f to x is a +function, which is then applied to y. The reader may test out his +understanding of higher order functions by working out what is the value +of "answer" in the following script: + answer = twice twice twice suc 0 + twice f x = f (f x) + suc x = x + 1 + +Note that in Miranda every function of two or more arguments is actually +a higher order function. This is very useful as it permits partial +application. For example "member" is a library function such that +"member x a" tests if the list x contains the element a (returning True +or False as appropriate). By partially applying member we can derive +many useful predicates, such as + vowel = member ['a','e','i','o','u'] + digit = member ['0','1','2','3','4','5','6','7','8','9'] + month = member ["Jan","Feb","Mar","Apr","Jun","Jul","Aug","Sep", + "Oct","Nov","Dec"] + As another example of higher order programming consider the function +foldr, defined + foldr op k [] = k + foldr op k (a:x) = op a (foldr op k x) + +All the standard list processing functions can be obtained by partially +applying foldr. Examples + sum = foldr (+) 0 + product = foldr (*) 1 + reverse = foldr postfix [] + _w_h_e_r_e postfix a x = x ++ [a] + +_L_i_s_t_ _c_o_m_p_r_e_h_e_n_s_i_o_n_s + List comprehensions give a concise syntax for a rather general class of +iterations over lists. The syntax is adapted from an analogous notation +used in set theory (called "set comprehension"). A simple example of a +list comprehension is: + [ n*n | n <- [1..100] ] +This is a list containing (in order) the squares of all the numbers from +1 to 100. The above expression can be read as "list of all n*n such +that n is drawn from the list 1 to 100". Note that "n" is a local +variable of the above expression. The variable-binding construct to the +right of the bar is called a "generator" - the "<-" sign denotes that +the variable introduced on its left ranges over all the elements of the +list on its right. The general form of a list comprehension in Miranda +is: + [ body | qualifiers ] +Each qualifier is either a generator, of the form var<-exp, or else a +filter, which is a boolean expression used to restrict the ranges of the +variables introduced by the generators. When two or more qualifiers are +present they are separated by semicolons. An example of a list +comprehension with two generators is given by the following definition +of a function for returning a list of all the permutations of a given +list, + perms [] = [[]] + perms x = [ a:y | a <- x; y <- perms (x--[a]) ] + +The use of a filter is shown by the following definition of a function +which takes a number and returns a list of all its factors, + factors n = [ i | i <- [1..n _d_i_v 2]; n _m_o_d i = 0 ] + +List comprehensions often allow remarkable conciseness of expression. +We give two examples. Here is a Miranda statement of Hoare's +"Quicksort" algorithm, as a method of sorting a list, + sort [] = [] + sort (a:x) = sort [ b | b <- x; b<=a ] + ++ [a] ++ + sort [ b | b <- x; b>a ] + +Next is a Miranda solution to the eight queens problem. We have to +place eight queens on chess board so that no queen gives check to any +other. Since any solution must have exactly one queen in each column, a +suitable representation for a board is a list of integers giving the row +number of the queen in each successive column. In the following script +the function "queens n" returns all safe ways to place queens on the +first n columns. A list of all solutions to the eight queens problem is +therefore obtained by printing the value of (queens 8) + queens 0 = [[]] + queens (n+1) = [ q:b | b <- queens n; q <- [0..7]; safe q b ] + safe q b = and [ ~checks q b i | i <- [0..#b-1] ] + checks q b i = q=b!i \/ abs(q - b!i)=i+1 + +_L_a_z_y_ _e_v_a_l_u_a_t_i_o_n_ _a_n_d_ _i_n_f_i_n_i_t_e_ _l_i_s_t_s + Miranda's evaluation mechanism is "lazy", in the sense that no +subexpression is evaluated until its value is known to be required. One +consequence of this is that is possible to define functions which are +non-strict (meaning that they are capable of returning an answer even if +one of their arguments is undefined). For example we can define a +conditional function as follows, + cond True x y = x + cond False x y = y +and then use it in such situations as "cond (x=0) 0 (1/x)". + +The other main consequence of lazy evaluation is that it makes it +possible to write down definitions of infinite data structures. Here +are some examples of Miranda definitions of infinite lists (note that +there is a modified form of the ".." notation for endless arithmetic +progressions) + ones = 1 : ones + repeat a = x + _w_h_e_r_e x = a : x + nats = [0..] + odds = [1,3..] + squares = [ n*n | n <- [0..] ] + perfects = [ n | n <- [1..]; sum(factors n) = n ] + primes = sieve [ 2.. ] + _w_h_e_r_e + sieve (p:x) = p : sieve [ n | n <- x; n _m_o_d p > 0 ] + +One interesting application of infinite lists is to act as lookup tables +for caching the values of a function. For example our earlier naive +definition of "fib" can be improved from exponential to linear +complexity by changing the recursion to use a lookup table, thus + fib 0 = 1 + fib 1 = 1 + fib (n+2) = flist!(n+1) + flist!n + _w_h_e_r_e + flist = map fib [ 0.. ] + +Another important use of infinite lists is that they enable us to write +functional programs representing networks of communicating processes. +Consider for example the Hamming numbers problem - we have to print in +ascending order all numbers of the form 2^a*3^b*5^c, for a,b,c>=0. +There is a nice solution to this problem in terms of communicating +processes, which can be expressed in Miranda as follows + hamming = 1 : merge (f 2) (merge (f 3) (f 5)) + _w_h_e_r_e + f a = [ n*a | n <- hamming ] + merge (a:x) (b:y) = a : merge x (b:y), _i_f a<b + = b : merge (a:x) y, _i_f a>b + = a : merge x y, _o_t_h_e_r_w_i_s_e + +_P_o_l_y_m_o_r_p_h_i_c_ _s_t_r_o_n_g_ _t_y_p_i_n_g + Miranda is strongly typed. That is, every expression and every +subexpression has a type, which can be deduced at compile time, and any +inconsistency in the type structure of a script results in a compile +time error message. We here briefly summarise Miranda's notation for +its types. + +There are three primitive types, called num, bool, and char. The type +num comprises integer and floating point numbers (the distinction +between integers and floating point numbers is handled at run time - +this is not regarded as being a type distinction). There are two values +of type bool, called True and False. The type char comprises the +Latin-1 character set - character constants are written in single +quotes, using C escape conventions, e.g. 'a', '$', '\n' etc. + +If T is type, then [T] is the type of lists whose elements are of type +T. For example [[1,2],[2,3],[4,5]] is of type [[num]], that is list of +lists of numbers. String constants are of type [char], in fact a string +such as "hello" is simply a shorthand way of writing +['h','e','l','l','o']. + +If T1 to Tn are types, then (T1, ... ,Tn) is the type of tuples with +objects of these types as components. For example (True,"hello",36) is +of type (bool,[char],num). + +If T1 and T2 are types, then T1->T2 is the type of a function with +arguments in T1 and results in T2. For example the function sum is of +type [num]->num. The function quadsolve, given earlier, is of type +num->num->num->[num]. Note that "->" is right associative. + +Miranda scripts can include type declarations. These are written using +"::" to mean is of type. Example + sq :: num -> num + sq n = n * n +The type declaration is not necessary, however. The compiler is always +able to deduce the type of an identifier from its defining equation. +Miranda scripts often contain type declarations as these are useful for +documentation (and they provide an extra check, since the typechecker +will complain if the declared type is inconsistent with the inferred +one). + +Types can be polymorphic, in the sense of [Milner 1978]. This is +indicated by using the symbols * ** *** etc. as an alphabet of generic +type variables. For example, the identity function, defined in the +Miranda library as + id x = x +has the following type + id :: * -> * +this means that the identity function has many types. Namely all those +which can be obtained by substituting an arbitrary type for the generic +type variable, eg "num->num", "bool->bool", "(*->**) -> (*->**)" and so +on. + +We illustrate the Miranda type system by giving types for some of the +functions so far defined in this article + fac :: num -> num + ack :: num -> num -> num + sum :: [num] -> num + month :: [char] -> bool + reverse :: [*] -> [*] + fst :: (*,**) -> * + snd :: (*,**) -> ** + foldr :: (*->**->**) -> ** -> [*] -> ** + perms :: [*] -> [[*]] + +_U_s_e_r_ _d_e_f_i_n_e_d_ _t_y_p_e_s + The user may introduce new types. This is done by an equation in +"::=". For example a type of labelled binary trees (with numeric +labels) would be introduced as follows, + tree ::= Nilt | Node num tree tree + +This introduces three new identifiers - "tree" which is the name of the +type, and "Nilt" and "Node" which are the constructors for trees - note +that constructors must begin with an upper case letter. Nilt is an +atomic constructor, while Node takes three arguments, of the types +shown. Here is an example of a tree built using these constructors + t1 = Node 7 (Node 3 Nilt Nilt) (Node 4 Nilt Nilt) + +To analyse an object of user defined type, we use pattern matching. For +example here is a definition of a function for taking the mirror image +of a tree + mirror Nilt = Nilt + mirror (Node a x y) = Node a (mirror y) (mirror x) + +User defined types can be polymorphic - this is shown by introducing one +or more generic type variables as parameters of the "::=" equation. For +example we can generalise the definition of tree to allow arbitrary +labels, thus + tree * ::= Nilt | Node * (tree *) (tree *) +this introduces a family of tree types, including tree num, tree bool, +tree (char->char), and so on. + +The types introduced by "::=" definitions are called "algebraic types". +Algebraic types are a very general idea. They include scalar +enumeration types, eg + color ::= Red | Orange | Yellow | Green | Blue | Indigo | Violet + +and also give us a way to do union types, for example + bool_or_num ::= Left bool | Right num + +It is interesting to note that all the basic data types of Miranda could +be defined from first principles, using "::=" equations. For example +here are type definitions for bool, (natural) numbers and lists, + bool ::= True | False + nat ::= Zero | Suc nat + list * ::= Nil | Cons * (list *) +Having types such as "num" built in is done for reasons of efficiency - +it isn't logically necessary. + +_N_o_t_e: In versions of Miranda before release two (1989) it was possible +to associate "laws" with the constructors of an algebraic type, which +are applied whenever an object of the type is built. For details see +[Turner 1985, Thompson 1986]. This feature was little used and since +has been removed from the language. + +_T_y_p_e_ _s_y_n_o_n_y_m_s + The Miranda programmer can introduce a new name for an already existing +type. We use "==" for these definitions, to distinguish them from +ordinary value definitions. Examples + string == [char] + matrix == [[num]] + +Type synonyms are entirely transparent to the typechecker - it is best +to think of them as macros. It is also possible to introduce synonyms +for families of types. This is done by using generic type symbols as +formal parameters, as in + array * == [[*]] +so now eg `array num' is the same type as `matrix'. + +_A_b_s_t_r_a_c_t_ _d_a_t_a_ _t_y_p_e_s + In addition to concrete types, introduced by "::=" or "==" equations, +Miranda permits the definition of abstract types, whose implementation +is "hidden" from the rest of the program. To show how this works we +give the standard example of defining stack as an abstract data type +(here based on lists): + + _a_b_s_t_y_p_e stack * + _w_i_t_h empty :: stack * + isempty :: stack * -> bool + push :: * -> stack * -> stack * + pop :: stack * -> stack * + top :: stack * -> * + + stack * == [*] + empty = [] + isempty x = (x=[]) + push a x = (a:x) + pop (a:x) = x + top (a:x) = a + +We see that the definition of an abstract data type consists of two +parts. First a declaration of the form "abstype ... with ...", where +the names following the "with" are called the _s_i_g_n_a_t_u_r_e of the abstract +data type. These names are the interface between the abstract data type +and the rest of the program. Then a set of equations giving bindings +for the names introduced in the abstype declaration. These are called +the _i_m_p_l_e_m_e_n_t_a_t_i_o_n _e_q_u_a_t_i_o_n_s. + +The type abstraction is enforced by the typechecker. The mechanism +works as follows. When typechecking the implementation equations the +abstract type and its representation are treated as being the same type. +In the whole of the rest of the script the abstract type and its +representation are treated as two separate and completely unrelated +types. This is somewhat different from the usual mechanism for +implementing abstract data types, but has a number of advantages. It is +discussed at somewhat greater length in [Turner 85]. + +_S_e_p_a_r_a_t_e_ _c_o_m_p_i_l_a_t_i_o_n_ _a_n_d_ _l_i_n_k_i_n_g + The basic mechanisms for separate compilation and linking are extremely +simple. Any Miranda script can contain one or more directives of the +form + %include "pathname" +where "pathname" is the name of another Miranda script file (which might +itself contain include directives, and so on recursively - cycles in the +include structure are not permitted however). The visibility of names +to an including script is controlled by a directive in the included +script, of the form + %export names +It is permitted to export types as well as values. It is not permitted +to export a value to a place where its type is unknown, so if you export +an object of a locally defined type, the typename must be exported also. +Exporting the name of a "::=" type automatically exports all its +constructors. If a script does not contain an export directive, then +the default is that all the names (and typenames) it defines will be +exported (but not those which it acquired by %include statements). + +It is also permitted to write a _p_a_r_a_m_e_t_r_i_s_e_d script, in which certain +names and/or typenames are declared as "free". An example is that we +might wish to write a package for doing matrix algebra without knowing +what the type of the matrix elements are going to be. A header for such +a package could look like this: + %free { element :: type + zero, unit :: element + mult, add, subtract, divide :: element->element->element + } + + %export matmult determinant eigenvalues eigenvectors ... + || here would follow definitions of matmult, determinant, + || eigenvalues, etc. in terms of the free identifiers zero, + || unit, mult, add, subtract, divide + +In the using script, the corresponding %include statement must give a +set of bindings for the free variables of the included script. For +example here is an instantiation of the matrix package sketched above, +with real numbers as the chosen element type: + %include "matrix_pack" + { element == num; zero = 0; unit = 1 + mult = *; add = +; subtract = -; divide = / + } + +The three directives %include, %export and %free provide the Miranda +programmer with a flexible and type secure mechanism for structuring +larger pieces of software from libraries of smaller components. + +Separate compilation is administered without user intervention. Each +file containing a Miranda script is shadowed by an object code file +created by the system and object code files are automatically recreated +and relinked if they become out of date with respect to any relevant +source. (This behaviour is similar to that achieved by the +UNIX program "make", except that here the user is not required to write +a makefile - the necessary dependency information is inferred from the +%include directives in the Miranda source.) + +_C_u_r_r_e_n_t_ _i_m_p_l_e_m_e_n_t_a_t_i_o_n_ _s_t_a_t_u_s + An implementation of Miranda is available for a range of UNIX machines +including SUN-4/Sparc, DEC Alpha, MIPS, Apollo, Sequent Symmetry, +Sequent Balance, Silicon Graphics, IBM RS/6000, HP9000, PC/Linux. This +is an interpretive implementation which works by compiling Miranda +scripts to an intermediate code based on combinators. It is currently +running at 550 sites (as of August 1996). + +Licensing information can be obtained from the world wide web at + http://miranda.org.uk + + +REFERENCES + +Milner, R. "A Theory of Type Polymorphism in Programming" Journal of +Computer and System Sciences, vol 17, 1978. + +Thompson, S.J. "Laws in Miranda" Proceedings 4th ACM International +Conference on LISP and Functional Programming, Boston Mass, August 1986. + +Turner, D.A. "Miranda: A non-strict functional language with +polymorphic types" Proceedings IFIP International Conference on +Functional Programming Languages and Computer Architecture, Nancy +France, September 1985 (Springer Lecture Notes in Computer Science, vol +201). + +[Note - this overview of Miranda first appeared in SIGPLAN Notices, +December 1986. It has here been revised slightly to bring it up to +date.] + |