How to handle operator precedence in LALR(1) parser - parsing

I was writing an LALR(1) parser for a simple arithmetic grammar
E -> E ('+' | '-') T
E -> T
T -> T ('*' | '/') F
T -> F
F -> '( E ')'
F -> int
How would I handle operator precedence for an expression such as 1 * 1 + 2 so that the 1+2 is evaluated before the multiplication?

Related

Expression Evaluation using combinators in Haskell

I'm trying to make an expression evaluator in Hakell:
data Parser i o
= Success o [i]
| Failure String [i]
| Parser
{parse :: [i] -> Parser i o}
data Operator = Add | Sub | Mul | Div | Pow
data Expr
= Op Operator Expr Expr
| Val Double
expr :: Parser Char Expr
expr = add_sub
where
add_sub = calc Add '+' mul_div <|> calc Sub '-' mul_div <|> mul_div
mul_div = calc Mul '*' pow <|> calc Div '/' pow <|> pow
pow = calc Pow '^' factor <|> factor
factor = parens <|> val
val = Val <$> parseDouble
parens = parseChar '(' *> expr <* parseChar ')'
calc c o p = Op c <$> (p <* parseChar o) <*> p
My problem is that when I try to evaluate an expression with two operators with same priority (e.g. 1+1-1) the parser will fail.
How can I say that an add_sub can be an operation between two other add_subs without creating an infinite loop?
As explained by #chi the problem is that calc was using p twice which doesn't allow for patterns like muldiv + .... | muldiv - ... | ...
I just changed the definition of calc to :
calc c o p p2 = Op c <$> (p <* parseChar o) <*> p2
where p2 is the current priority (mul_div in the definition of mul_div)
it works much better but the order of calulations is backwards:
2/3/4 is parsed as 2/(3/4) instead of (2/3)/4

How do parentheses work with custom data types?

Currently, I am working on a problem of parsing and showing expressions in Haskell.
type Name = String
data Expr = Val Integer
| Var Name
| Expr :+: Expr
| Expr :-: Expr
| Expr :*: Expr
| Expr :/: Expr
| Expr :%: Expr
This is the code of my data type Expr and this is how i define show function:
instance Show Expr where
show (Val x) = show x
show (Var y) = y
show (p :+: q) = par (show p ++ "+" ++ show q)
show (p :-: q) = par (show p ++ "-" ++ show q)
show (p :/: q) = par (show p ++ "/" ++ show q)
show (p :*: q) = par (show p ++ "*" ++ show q)
show (p :%: q) = par (show p ++ "%" ++ show q)
par :: String -> String
par s = "(" ++ s ++ ")"
Later i tried to transform string input into the expression but i encounter the following problem: I don't understand how parentheses in the second case are implemented in Haskell.
*Main> Val 2 :*:Val 2 :+: Val 3
((2*2)+3)
*Main> Val 2 :*:(Val 2 :+: Val 3)
(2*(2+3))
Because of that, i am a bit confused regarding how should i transform parentheses from my string into the expression. Currently i am using the following function for parsing, but for now, it just ignores parentheses which is not intended behavior:
toExpr :: String -> Expr
toExpr str = f (lexer str) (Val 0)
where
f [] expr = expr
f (c:cs) expr
|isAlpha (head c) = f cs (Var c)
|isDigit (head c) = f cs (Val (read c))
|c == "+" = (expr :+: f cs (Val 0))
|c == "-" = (expr :-: f cs (Val 0))
|c == "/" = (expr :/: f cs (Val 0))
|c == "*" = (expr :*: f cs (Val 0))
|c == "%" = (expr :%: f cs (Val 0))
|otherwise = f cs expr
Edit: few grammar mistakes
I don't understand how parentheses in the second case are implemented in Haskell.
The brackets just give precedence to a certain part of the expression to parse. The problem is not with the parenthesis you render. I think the problem is that you did not assign precedence to your operators. This thus means that, unless you specify brackets, Haskell will consider all operators to have the same precedence, and parse these left-to-right. This thus means that x ⊕ y ⊗ z is parsed as (x ⊕ y) ⊗ z.
You can define the precedence of your :+:, :*, etc. operators with infixl:
infixl 7 :*:, :/:, :%:
infixl 5 :+:, :-:
type Name = String
data Expr = Val Integer
| Var Name
| Expr :+: Expr
| Expr :-: Expr
| Expr :*: Expr
| Expr :/: Expr
| Expr :%: Expr
As for your parser (the toExpr), you will need a parsing mechanism like a LALR parser [wiki] that stores results on a stack, and thus makes proper operations.
This was my final parser which gave me the result I needed. To get the result i wanted proper grammar was added and i wrote a parses according to he grammar.
Thanks, everyone for the help.
{-
parser for the following grammar:
E -> T E'
E' -> + T E' | - T E' | <empty string>
T -> F T'
T' -> * F T' | / F T' | % F T' | <empty string>
F -> (E) | <integer> | <identifier>
-}
parseExpr :: String -> (Expr,[String])
parseExpr tokens = parseE (lexer tokens)
parseE :: [String] -> (Expr,[String])
parseE tokens = parseE' acc rest where (acc,rest) = parseT tokens
parseE' :: Expr -> [String] -> (Expr,[String])
parseE' accepted ("+":tokens) = let (acc,rest) = parseT tokens in parseE' (accepted :+: acc) rest
parseE' accepted ("-":tokens) = let (acc,rest) = parseT tokens in parseE' (accepted :-: acc) rest
parseE' accepted tokens = (accepted,tokens)
parseT :: [String] -> (Expr,[String])
parseT tokens = let (acc,rest) = parseF tokens in parseT' acc rest
parseT' :: Expr -> [String] -> (Expr,[String])
parseT' accepted ("*":tokens) = let (acc,rest) = parseF tokens in parseT' (accepted :*: acc) rest
parseT' accepted ("/":tokens) = let (acc,rest) = parseF tokens in parseT' (accepted :/: acc) rest
parseT' accepted ("%":tokens) = let (acc,rest) = parseF tokens in parseT' (accepted :%: acc) rest
parseT' accepted tokens = (accepted,tokens)
parseF :: [String] -> (Expr,[String])
parseF ("(":tokens) = (e, tail rest) where (e,rest) = parseE tokens
parseF (t:tokens)
| isAlpha (head t) = (Var t,tokens)
| isDigit (head t) = (Val (read t),tokens)
| otherwise = error ""
parseF [] = error ""
lexer :: String -> [String]
lexer [] = []
lexer (c:cs)
| elem c " \t\n" = lexer cs
| elem c "=+-*/%()" = [c]:(lexer cs)
| isAlpha c = (c:takeWhile isAlpha cs):lexer(dropWhile isAlpha cs)
| isDigit c = (c:takeWhile isDigit cs):lexer(dropWhile isDigit cs)
| otherwise = error ""

Parsing non binary operators with Parsec

Traditionally, arithmetic operators are considered to be binary (left or right associative), thus most tools are dealing only with binary operators.
Is there an easy way to parse arithmetic operators with Parsec, which can have an arbitrary number of arguments?
For example, the following expression should be parsed into the tree
(a + b) + c + d * e + f
Yes! The key is to first solve a simpler problem, which is to model + and * as tree nodes with only two children. To add four things, we'll just use + three times.
This is a great problem to solve since there's a Text.Parsec.Expr module for just this problem. Your example is actually parseable by the example code in the documentation. I've slightly simplified it here:
module Lib where
import Text.Parsec
import Text.Parsec.Language
import qualified Text.Parsec.Expr as Expr
import qualified Text.Parsec.Token as Tokens
data Expr =
Identifier String
| Multiply Expr Expr
| Add Expr Expr
instance Show Expr where
show (Identifier s) = s
show (Multiply l r) = "(* " ++ (show l) ++ " " ++ (show r) ++ ")"
show (Add l r) = "(+ " ++ (show l) ++ " " ++ (show r) ++ ")"
-- Some sane parser combinators that we can plagiarize from the Haskell parser.
parens = Tokens.parens haskell
identifier = Tokens.identifier haskell
reserved = Tokens.reservedOp haskell
-- Infix parser.
infix_ operator func =
Expr.Infix (reserved operator >> return func) Expr.AssocLeft
parser =
Expr.buildExpressionParser table term <?> "expression"
where
table = [[infix_ "*" Multiply], [infix_ "+" Add]]
term =
parens parser
<|> (Identifier <$> identifier)
<?> "term"
Running this in GHCi:
λ> runParser parser () "" "(a + b) + c + d * e + f"
Right (+ (+ (+ (+ a b) c) (* d e)) f)
There are lots of ways of converting this tree to the desired form. Here's a hacky gross slow one:
data Expr' =
Identifier' String
| Add' [Expr']
| Multiply' [Expr']
deriving (Show)
collect :: Expr -> (Expr -> Bool) -> [Expr]
collect e f | (f e == False) = [e]
collect e#(Add l r) f =
collect l f ++ collect r f
collect e#(Multiply l r) f =
collect l f ++ collect r f
isAdd :: Expr -> Bool
isAdd (Add _ _) = True
isAdd _ = False
isMultiply :: Expr -> Bool
isMultiply (Multiply _ _) = True
isMultiply _ = False
optimize :: Expr -> Expr'
optimize (Identifier s) = Identifier' s
optimize e#(Add _ _) = Add' (map optimize (collect e isAdd))
optimize e#(Multiply _ _) = Multiply' (map optimize (collect e isMultiply))
I will note, however, that almost always Expr is Good Enough™ for the purposes of a parser or compiler.

Extending Grammar for LR Parser

I have the following grammar for basic arithmetic expressions
E -> E + T
E -> T
T -> T * F
T -> F
F -> (E)
F -> id
Where E is expression, T is term, F is factor. I'm wondering how I can extend this grammar to support further arithmetic operations such exponents possibly represented with ^ or logarithm.
Thanks
Since exponentation has higher precedence you could use the following grammar:
E -> E + T
E -> T
T -> T * F
T -> F
F -> G ^ F
F -> G
G -> log(E)
G -> (E)
G -> id

Parsing an expression grammar having function application with parser combinators (left-recursion)

As a simplified subproblem of a parser for a real language, I am trying to implement a parser for expressions of a fictional language which looks similar to standard imperative languages (like Python, JavaScript, and so). Its syntax features the following construct:
integer numbers
identifiers ([a-zA-Z]+)
arithmetic expressions with + and * and parenthesis
structure access with . (eg foo.bar.buz)
tuples (eg (1, foo, bar.buz)) (to remove ambiguity one-tuples are written as (x,))
function application (eg foo(1, bar, buz()))
functions are first class so they can also be returned from other functions and directly be applied (eg foo()() is legal because foo() might return a function)
So a fairly complex program in this language is
(1+2*3, f(4,5,6)(bar) + qux.quux()().quuux)
the associativity is supposed to be
( (1+(2*3)), ( ((f(4,5,6))(bar)) + ((((qux.quux)())()).quuux) ) )
I'm currently using the very nice uu-parsinglib an applicative parser combinator library.
The first problem was obviously that the intuitive expression grammar (expr -> identifier | number | expr * expr | expr + expr | (expr) is left-recursive. But I could solve that problem using the the pChainl combinator (see parseExpr in the example below).
The remaining problem (hence this question) is function application with functions returned from other functions (f()()). Again, the grammar is left recursive expr -> fun-call | ...; fun-call -> expr ( parameter-list ). Any ideas how I can solve this problem elegantly using uu-parsinglib? (the problem should directly apply to parsec, attoparsec and other parser combinators as well I guess).
See below my current version of the program. It works well but function application is only working on identifiers to remove the left-recursion:
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE RankNTypes #-}
module TestExprGrammar
(
) where
import Data.Foldable (asum)
import Data.List (intercalate)
import Text.ParserCombinators.UU
import Text.ParserCombinators.UU.Utils
import Text.ParserCombinators.UU.BasicInstances
data Node =
NumberLiteral Integer
| Identifier String
| Tuple [Node]
| MemberAccess Node Node
| FunctionCall Node [Node]
| BinaryOperation String Node Node
parseFunctionCall :: Parser Node
parseFunctionCall =
FunctionCall <$>
parseIdentifier {- `parseExpr' would be correct but left-recursive -}
<*> parseParenthesisedNodeList 0
operators :: [[(Char, Node -> Node -> Node)]]
operators = [ [('+', BinaryOperation "+")]
, [('*' , BinaryOperation "*")]
, [('.', MemberAccess)]
]
samePrio :: [(Char, Node -> Node -> Node)] -> Parser (Node -> Node -> Node)
samePrio ops = asum [op <$ pSym c <* pSpaces | (c, op) <- ops]
parseExpr :: Parser Node
parseExpr =
foldr pChainl
(parseIdentifier
<|> parseNumber
<|> parseTuple
<|> parseFunctionCall
<|> pParens parseExpr
)
(map samePrio operators)
parseNodeList :: Int -> Parser [Node]
parseNodeList n =
case n of
_ | n < 0 -> parseNodeList 0
0 -> pListSep (pSymbol ",") parseExpr
n -> (:) <$>
parseExpr
<* pSymbol ","
<*> parseNodeList (n-1)
parseParenthesisedNodeList :: Int -> Parser [Node]
parseParenthesisedNodeList n = pParens (parseNodeList n)
parseIdentifier :: Parser Node
parseIdentifier = Identifier <$> pSome pLetter <* pSpaces
parseNumber :: Parser Node
parseNumber = NumberLiteral <$> pNatural
parseTuple :: Parser Node
parseTuple =
Tuple <$> parseParenthesisedNodeList 1
<|> Tuple [] <$ pSymbol "()"
instance Show Node where
show n =
let showNodeList ns = intercalate ", " (map show ns)
showParenthesisedNodeList ns = "(" ++ showNodeList ns ++ ")"
in case n of
Identifier i -> i
Tuple ns -> showParenthesisedNodeList ns
NumberLiteral n -> show n
FunctionCall f args -> show f ++ showParenthesisedNodeList args
MemberAccess f g -> show f ++ "." ++ show g
BinaryOperation op l r -> "(" ++ show l ++ op ++ show r ++ ")"
Looking briefly at the list-like combinators for uu-parsinglib (I'm more familiar with parsec), I think you can solve this by folding over the result of the pSome combinator:
parseFunctionCall :: Parser Node
parseFunctionCall =
foldl' FunctionCall <$>
parseIdentifier {- `parseExpr' would be correct but left-recursive -}
<*> pSome (parseParenthesisedNodeList 0)
This is also equivalent to the Alternative some combinator, which should indeed apply to the other parsing libs you mentioned.
I don't know this library but can show you how to remove left recursion. The standard right recursive expression grammar is
E -> T E'
E' -> + TE' | eps
T -> F T'
T' -> * FT' | eps
F -> NUMBER | ID | ( E )
To add function application you must decide its level of precedence. In most languages I've seen it is highest. So you'd add another layer of productions for function application.
E -> T E'
E' -> + TE' | eps
T -> AT'
T' -> * A T' | eps
A -> F A'
A' -> ( E ) A' | eps
F -> NUMBER | ID | ( E )
Yes this is a hairy-looking grammar and bigger than the left recursive one. That's the price of top-down predictive parsing. If you want simpler grammars use a bottom up parser generator a la yacc.

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