Modern LALR(1) parser generator and parser for C++.
- Generate LALR(1) parsers in C++ from BNF grammars.
- Compile grammars at build-time or run-time.
- Bind lexer actions for escaping characters and symbol table lookup.
- Bind actions to
std::function
objects. - Specify terminals inline in the grammar.
- Re-entrant and thread-safe.
#include <stdio.h>
#include <stdarg.h>
#include <lalr/GrammarCompiler.hpp>
#include <lalr/Parser.ipp>
#include <string.h>
using namespace std;
using namespace lalr;
void lalr_calculator_example()
{
const char* calculator_grammar =
"calculator { \n"
" %left '+' '-'; \n"
" %left '*' '/'; \n"
" %none integer; \n"
" %whitespace \"[ \t\r\n]*\"; \n"
" expr: \n"
" expr '+' expr [add] | \n"
" expr '-' expr [subtract] | \n"
" expr '*' expr [multiply] | \n"
" expr '/' expr [divide] | \n"
" '(' expr ')' [compound] | \n"
" integer [integer] \n"
" ; \n"
" integer: \"[0-9]+\"; \n"
"} \n"
;
GrammarCompiler compiler;
compiler.compile( calculator_grammar, calculator_grammar + strlen(calculator_grammar) );
Parser<const char*, int> parser( compiler.parser_state_machine() );
parser.parser_action_handlers()
( "add", [] ( const int* data, const ParserNode<>* nodes, size_t length )
{
return data[0] + data[2];
}
)
( "subtract", [] ( const int* data, const ParserNode<>* nodes, size_t length )
{
return data[0] - data[2];
}
)
( "multiply", [] ( const int* data, const ParserNode<>* nodes, size_t length )
{
return data[0] * data[2];
}
)
( "divide", [] ( const int* data, const ParserNode<>* nodes, size_t length )
{
return data[0] / data[2];
}
)
( "compound", [] ( const int* data, const ParserNode<>* nodes, size_t length )
{
return data[1];
}
)
( "integer", [] ( const int* data, const ParserNode<>* nodes, size_t length )
{
return ::atoi( nodes[0].lexeme().c_str() );
}
)
;
const char* input = "1 + 2 * (3 + 4) + 5";
parser.parse( input, input + strlen(input) );
printf( "1 + 2 * (3 + 4) + 5 = %d", parser.user_data() );
LALR_ASSERT( parser.accepted() );
LALR_ASSERT( parser.full() );
LALR_ASSERT( parser.user_data() == 20 );
}
Build Lalr using Forge and a C++ compiler (XCode, Visual C++, or GCC depending on operating system).
Linux:
From a Bash shell with GCC and Forge installed and available in the path:
git clone git@github.com:cwbaker/lalr.git lalr
cd lalr
git submodule update --init
forge variant=release
./release/bin/lalr_examples
macOS:
From a Bash shell with XCode and Forge installed and available in the path:
git clone git@github.com:cwbaker/lalr.git lalr
cd lalr
git submodule update --init
forge variant=release
./release/bin/lalr_examples
Windows:
From a Visual C++ x64 Native Tools command prompt with Forge installed and available in the path:
git clone git@github.com:cwbaker/lalr.git lalr
cd lalr
git submodule update --init
forge variant=release
.\release\bin\lalr_examples.exe
Compile a grammar into a parse table offline using the lalrc tool. The tool takes a grammar as input, compiles it to a parse table, then writes the parse table into a C++ source file that is compiled into your program.
Offline compilation completely avoids the time and memory used to generate the grammar at run-time at the cost of having to run the lalrc tool as a build step (or perhaps manually for grammars that change infrequently).
The lalrc tool's command line options:
$ lalrc --help
Usage: lalrc [options] [-o|--output OUTPUT] INPUT
-h|--help Display this help message
-v|--version Display version
-o|--output Output file
The example JSON parser is generated offline using the following command line:
$ lalrc -o json.cpp json.g
Compile grammars into parser tables at run-time using a GrammarCompiler
object. The GrammarCompiler
takes a string containing a grammar and compiles it directly into a parse table. Take care with characters that have special meaning for both C++ strings and the regular expressions and literals in the Lalr grammar (e.g. \
, '
, and "
, etc').
Run-time compilation takes time and memory but avoids any extra build steps.
Report errors and debugging information that occur during parser generation and parsing by overloading the ErrorPolicy::lalr_error()
and ErrorPolicy::lalr_vprintf()
respectively. Clients of the library should implement these functions to provide their own error and debug output. The default implementations print errors and output to stderr
and stdout
respectively.
Parsing with Lalr is best illustrated by example. See lalr_xml_example.cpp for the following snippets in a fully working context:
1. Include <lalr/Parser.hpp>
#include <lalr/Parser.hpp>
Include <lalr/Parser.hpp>
. Lalr's parser and lexer source code are header only. When used with offline generation of parse tables this provides a very straight forward way to integrate Lalr into your project for parsing.
2. Create Parser
extern lalr::ParserStateMachine* xml_parser_state_machine;
Parser<const char*, XmlUserData> parser( xml_parser_state_machine );
Reference a parse table as an extern
variable for offline generated parse tables. See lalr_calculator_example.cpp for an example of compiling a grammar to parse tables at runtime.
Create a Parser
object with the parse table as the sole argument to the constructor. The Parser
class template requires an iterator type template argument and optionally allows for user data; and character type, traits, and allocator to be overridden. In the above example the iterator type is const char*
, user data is the custom XmlUserData
type, and the character parameters default to those implied by the iterator.
Change the Iterator
template parameter to read input from different sources and convert character encodings, e.g. from UTF-8 in a file to UTF-32 in memory. See lalr_json_example.cpp for an example of reading a UTF-8 encoded file to UTF-32, char32_t
in memory. To parse UTF-8 input to UTF-8 encoding in memory it is usually sufficient to use a iterator templated to unsigned char
or uint8_t
, see lalr_xml_example.cpp for an example of doing so in practice.
3. Bind lexer action handlers
parser.lexer_action_handlers()
( "string", &string_ )
;
Lexer actions allow user code to bind to any state in the lexical analyzer. In this case the string_()
function is skipping the leading and trailing quotes in the string.
More complex uses include escaping sequences of characters in strings, looking up symbol tables, and even breaking out to parse different languages based on lexical tokens.
4. Bind parser action handlers
parser.parser_action_handlers()
( "document", &document )
( "add_element", &add_element )
( "create_element", &create_element )
( "short_element", &short_element )
( "long_element", &long_element )
( "add_attribute", &add_attribute )
( "create_attribute", &create_attribute )
( "attribute", &attribute )
;
Parser actions allow the user code to bind to reduce operations in the parser. In this case matching the XML document, elements, and attributes and building up a tree of data in XmlUserData
objects.
Each action handler function accepts the user data from the parser's stack that has been matched to the right-hand side of a production and expects the single user data for the left-hand side of the production to be returned.
In this way the input text is parsed into a syntax tree resulting in a single user data element representing the root of the syntax tree on the parser's stack at the end of a successful parse.
5. Parse input
const char* input =
"<?xml version='1.0' encoding='UTF-8' standalone='yes'?>\n"
" <document name='example'>\n"
" <paragraph id='1.1'/>\n"
" <paragraph id='1.2'/>\n"
" <paragraph id='1.3'></paragraph>\n"
" </document>"
;
parser.parse( input, input + strlen(input) );
LALR_ASSERT( parser.accepted() );
LALR_ASSERT( parser.full() );
print( parser.user_data().element_.get(), 0 );}
Pass iterators to the beginning and end of the input text to Parser::parse()
.
Parser::accepted()
returns true if the parse was successful. Parser::full()
returns true if all of the input text (including trailing whitespace) was consumed.
An Lalr grammar is a variation of Backus-Naur form consisting of an identifier followed by a curly brace delimited block containing directives and productions. Extra whitespace and C/C++ style comments are ignored.
Ambiguous grammars fail to generate parsers. Ambiguity can usually be resolved by rearranging the grammar or by specifying the precedence and associativity of the symbols and productions that are involved in the conflict. See the Shift/Reduce Conflicts and Reduce/Reduce Conflicts sections.
The following grammar, from the calculator example, has the identifier calculator
, associativity/precedence directives %left
and %none
, a whitespace directive %whitespace
, and productions to describe the language matched:
calculator {
%left '+' '-';
%left '*' '/';
%none integer;
%whitespace "[ \t\r\n]*";
expr:
expr '+' expr [add] |
expr '-' expr [subtract] |
expr '*' expr [multiply] |
expr '/' expr [divide] |
'(' expr ')' [compound] |
integer [integer]
;
integer: "[0-9]+";
}
Each production consists of a symbol (the left-hand side), a colon (':
'), an expression made up of zero or more symbols (the right-hand side), an optional action in square brackets ('[]
'), and an alternating pipe ('|
') or terminating semi-colon ';
'.
The first production in a grammar specifies the start symbol whose reduction indicates a successful parse. After the first productions may appear in any order.
Terminal symbols appear as single or double quoted strings that match literal text or regular expressions respectively. Non-terminal symbols appear as identifiers starting with a letter or underscore followed by zero or more letters, underscores, and digits.
Single quoted strings specify literal elements. This directs the parser to literally parse the text provided. The C/C++ style escape sequences \b
, \f
, \n
, \r
, \t
, \x####
(hex), \###
(octal) are recognized. Other escaped characters evaluate to themselves.
Double quote strings specify regular expressions. Regular expressions can be made up of character classes ([...]
and [^...]
), star operators (*
), plus operators (+
), and optional operators (?
). The C/C++ style escape sequences \b
, \f
, \n
, \r
, \t
, \x####
(hex), \###
(octal) are recognized. Any other escaped character evaluates to itself to allow escaping of double quotes and the characters that have special meaning in the regular expression (|*+?[]()-
).
Identifiers are non-terminal symbols recursively defined by productions in the grammar except for named terminals. Named terminals use a special form of production to use an identifier to specify a terminal symbol. See Named Terminals.
Actions provide a binding point user code to be executed when a reduction occurs. An action is attached to a production specifying the action's identifier between [
and ]
at the end of the production.
Use code binds a function to an action by name at run-time. The action function is accepts the data on the parser's stack matching the right-hand side of the production and returns the data that will be stored in the stack, in place of the right-hand side elements, with the left-hand side of the production.
For example add
, subtract
, etc appearing in square brackets are all actions. Specifically the add
in expr: expr '+' expr [add]
is binds the action add
to the production expr: expr '+' expr
.
Productions with a right-hand side containing only a single literal or regular expression and no attached action introduce a named terminal.
Named terminals identify a terminal symbol by identifier rather than its literal or regular expression. No reduction ever happens for a named terminal's production.
The naming provides a convenient way to give terminals, especially complex ones, more readable names.
For example the production integer: "[0-9]+"
introduces the named terminal integer
in place of the regular expression [0-9]+
.
Precedence determines which order to evaluate operations in an expression. For example multiplication usually has a higher precedence than addition so that 1 + 2 * 3
is evaluated as 1 + (2 * 3)
and not (1 + 2) * 3
.
Associativity determines which order to evaluate multiple operations with the same precedence in an expression by grouping the operations from the left, right, or not at all.
Left-associative operators group operations from the left. For example 10 - 6 + 3
is evaluated as (10 - 6) + 3
and not 10 - (6 + 3)
because addition and subtraction have the same precedence and are left-associative.
Right-associative operators group operations from the right. For example a = b = 5
is evaluated as a = (b = 5)
and both a
and b
are set to 5 rather than a
being set to the value of b
and b
set to 5.
Non-associative operators prevent operations from being chained at all. For example a < b < c
is not usually a valid expression and comparison operators like <
evaluate to a different type from their operands are non-associative.
Precedence and associativity are controlled by precedence/associativity directives listed in the grammar. A precedence/associativity directive consists of a directive (%left
, %right
, and %none
), one or more terminals, and a terminating semi-colon ;
.
The precedence of an operator is assigned by the order of directives with directives on later lines having higher precedence. Associativity of the listed terminals is set to left, right, or none to match %left
, %right
, or %none
.
The precedence of a production defaults to that of its right-most terminal but can be explicitly set to the precedence of a different terminal using the %precedence
directive. The precedence directive appears after the right-hand side of a production before any attached action and is followed by the terminal whose precedence and associativity the production is to inherit.
Shift/reduce conflicts arise when the parser is unable to decide between shifting another token onto the stack or reducing the top of the stack that matches the right hand side of a production.
Shift/reduce conflicts are resolved by examining the associativity and precedence of the symbol that is to be shifted and reduced on and the production that is to be reduced. Shift/reduce conflicts are resolved in the following way:
-
If either the symbol or the production lack precedence information then the conflict is not resolved, an error is reported, and the grammar fails to generate a parser.
-
If the symbol and the production have the same precedence and the symbol explicitly has no associativity (i.e. it is listed in a
%none
directive) then the conflict is not resolved, an error is reported, and the grammar fails to generate a parser. -
If the production has higher precedence than the symbol or the production and the symbol have the same precedence and the symbol associates to the right then the conflict is resolved in favour of the reduction.
-
Otherwise the symbol must have higher precedence than the production or the symbol has the same precedence as the production and associates to the left and the conflict is resolved in favour of the shift.
Reduce/reduce conflicts arise when the parser is unable to decide which production to reduce on when the top of the stack matches the right hand side of more than one production.
Reduce/reduce conflicts are resolved by examining the precedence of the two conflicting productions. Reduce/reduce conflicts are resolved in the following way:
-
If either of the productions lack precedence information or both productions have the same precedence then the conflict is not resolved, an error is reported, and the grammar fails to generate a parser.
-
Otherwise the precedence of one production is higher than the other and the conflict is resolved in favour of this production.
The %whitespace
directive specifies a regular expression that will be skipped as whitespace every time the lexical analyzer is called to advance by a token.
Whitespace at the end of a parse is also skipped to ignore whitespace that trails the input language.
Lexical analyzer actions can be attached to regular expressions allowing clients of the library to attach an arbitrary function to be executed on certain lexical analyzer states.
This can be used to deal with situations in which the behaviour of the lexical analyzer is changed such as when scanning strings or comments, perform escape sequence conversion when parsing strings, and perform disambiguation using symbol tables.
Lexical analyzer actions are attached in regular expressions using an identifier delimited by colons ":
". Any identifier specified between ":
" characters in a regular expression is added as an action that is called when the lexical analyzer reaches a state that has the action as its next position.
Errors are handled by adding productions containing the error
symbol. When a syntax error occurs the parser pops symbols from its stack until it finds a state from which it can accept the error
symbol. The error
symbol is then shifted onto the stack and parsing continues.
Parsing fails if there are no productions containing the error
symbol or all of the symbols are popped from the stack without being able to accept the error
symbol.
Attach action handlers to error productions to report diagnostics and mark portions of the parse tree as having errors. Parsing can continue and detect more errors but, most likely, the result of the parse will not be correct.
Aside from its special use in resolving errors the error
symbol behaves as a terminal. The error
symbol may be involved in shift/reduce conflicts that are resolved, as with shift/reduce conflicts on other terminals, by specifying the relative associativity and precedence of the error
symbol and production that are in conflict to resolve by shifting or reducing as required.
Typical usage is to add an error production for a high level, repeated symbol that has trailing terminal acting as a separator. For example statements separated by semi-colons as found in many programming languages as illustrated in the following example:
integers {
%none error;
%none integer;
statements: statements statement | statement | %precedence integer;
statement:
integer ';' [result] |
error ';' [unexpected_error]
;
integer: "[0-9]+";
}
See error_handling_calculator.g and lalr_error_handling_calculator.cpp for the calculator example expanded to handle multiple semi-colon separated calculations with error handling for unexpected errors and unknown operators.
The library has no static state and so creating and/or using multiple ParserStateMachine
or Parser
objects at the same time poses no problems. Parser
objects themselves aren't threadsafe and it is assumed that there is only one thread making a call into any one object at a time.
Any number of Parser
objects sharing the same ParserStateMachine
can be used by any number of threads at once so long as multiple threads don't make calls into the same Parser
object at the same time.
lalr is licensed under the MIT License.