Given a LL(1) grammar what is an appropriate data structure or algorithm for producing an immutable concrete syntax tree in a functionally pure manner? Please feel free to write example code in whatever language you prefer.
My Idea
symbol : either a token or a node result : success or failure token : a lexical token from source text value -> string : the value of the token type -> integer : the named type code of the token next -> token : reads the next token and keeps position of the previous token back -> token : moves back to the previous position and re-reads the token node : a node in the syntax tree type -> integer : the named type code of the node symbols -> linkedList : the symbols found at this node append -> symbol -> node : appends the new symbol to a new copy of the node
Here is an idea I have been thinking about. The main issue here is handling syntax errors. I mean I could stop at the first error but that doesn't seem right.
let program token =
sourceElements (node nodeType.program) token
let sourceElements node token =
let (n, r) = sourceElement (node.append (node nodeType.sourceElements)) token
match r with
| success -> (n, r)
| failure -> // ???
let sourceElement node token =
match token.value with
| "function" ->
functionDeclaration (node.append (node nodeType.sourceElement)) token
| _ ->
statement (node.append (node nodeType.sourceElement)) token
Please Note
I will be offering up a nice bounty to the best answer so don't feel rushed. Answers that simply post a link will have less weight over answers that show code or contain detailed explanations.
Final Note
I am really new to this kind of stuff so don't be afraid to call me a dimwit.
The syntax tree is shortened form of the Parse Tree. Example1 − Draw Syntax Tree for the string a + b ∗ c − d. Each node in a syntax tree can be executed as data with multiple fields. In the node for an operator, one field recognizes the operator and the remaining field includes a pointer to the nodes for the operands.
Originally, Concrete Syntax Tree (CST) is used for representation of a source code. CST represents concrete source code elements attached to corresponding construction in language syntax.
CONSTRUCTING SYNTAX TREES FOR EXPRESSIONS. Each node in a syntax tree for an (arithmetic) expression is a record with several fields. In the node for an operator, one field identifies the operator and the remaining fields contain pointers to the nodes of the operands. The operator is often called the label of the node.
You want to parse something into an abstract syntax tree.
In the purely functional programming language Haskell, you can use parser combinators to express your grammar. Here an example that parses a tiny expression language:
EDIT Use monadic style to match Graham Hutton's book
-- import a library of *parser combinators*
import Parsimony
import Parsimony.Char
import Parsimony.Error
(+++) = (<|>)
-- abstract syntax tree
data Expr = I Int
| Add Expr Expr
| Mul Expr Expr
deriving (Eq,Show)
-- parse an expression
parseExpr :: String -> Either ParseError Expr
parseExpr = Parsimony.parse pExpr
where
-- grammar
pExpr :: Parser String Expr
pExpr = do
a <- pNumber +++ parentheses pExpr -- first argument
do
f <- pOp -- operation symbol
b <- pExpr -- second argument
return (f a b)
+++ return a -- or just the first argument
parentheses parser = do -- parse inside parentheses
string "("
x <- parser
string ")"
return x
pNumber = do -- parse an integer
digits <- many1 digit
return . I . read $ digits
pOp = -- parse an operation symbol
do string "+"
return Add
+++
do string "*"
return Mul
Here an example run:
*Main> parseExpr "(5*3)+1"
Right (Add (Mul (I 5) (I 3)) (I 1))
To learn more about parser combinators, see for example chapter 8 of Graham Hutton's book "Programming in Haskell" or chapter 16 of "Real World Haskell".
Many parser combinator library can be used with different token types, as you intend to do. Token streams are usually represented as lists of tokens [Token]
.
Definitely check out the monadic parser combinator approach; I've blogged about it in C# and in F#.
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