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# A New Parser Generator for C#

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5 Mar 2016LGPL3
LLLPG, the Loyc LL(k) Parser Generator: now parsing C# itself!

## Introduction

LLLPG (Loyc LL(k) Parser Generator) is a relatively new recursive-decent parser generator for C# , with a feature set better than ANTLR version 2.

In this article I assume you already know what parsers and lexers are; if not, click the links.  In case you haven't written parsers before, article #2 will fill in your knowledge.

LLLPG is a system that I decided to create after trying to use ANTLR's C# module, and running into C#-specific bugs that I couldn't overcome. Besides, I wasn't happy with the ANTLR-generated code; I thought I could generate simpler and more efficient code. "How hard could it be to make an LL(k) parser generator?" I wondered. The answer: pretty damn hard, actually.

It took me a bit longer to make LLLPG than I intended (what, 5 years?), but... better late than never, right? While ANTLR has advanced some ways in that time period, it is still Java-centric, and I think the advantages of LLLPG still make it worth considering even if all the major C#-specific bugs in ANTLR have been fixed (I don't know if they have or not, but the C# version still lags behind the Java version).

Typically, you will use the LLLPG Visual Studio Custom Tool (a.k.a. Single-File Generator):

LLLPG is not a dedicated tool the way ANTLR is. Instead, LLLPG is designed to be embedded inside another programming language. While you may use LLLPG similarly to other parser generators, it's really just a "macro" inside a programming language I'm making called Enhanced C# — one of a hundred macros that you might be using, and perhaps in the future you'll write a macro or two yourself.

As of 2016, Enhanced C# is incomplete; only two components of it are ready (the parser, and the macro runner which is called LeMP (Lexical Macro Processor). But hopefully you'll find it fairly user-friendly and fun.

UPDATE: LLLPG has its own home page now and articles about it will be published there. From now on, the CodeProject articles will not be updated.

Other design elements of LLLPG include:

• LL(k) with benefits. There are several types of parser generators, e.g. LALR(1), PEG, LL(1), LL(k), and LL(*). Of these, I think PEG (Parsing Expression Grammars, usually implemented with packrat parsers) and LL(k)/LL(*) (ANTLR 2 and ANTLR 3/4, respectively) are the most popular for writing new grammars today (some people also use regular expressions, but regexes are much less powerful than "proper" parser generators because they do not support full recursion). In addition to plain LL(k), LLLPG has a few extra, advanced features because some programming languages are difficult to express with an LL(k) grammar alone. LL(k) has two main advantages: potentially high performance (especially as k gets lower), and output that is relatively easy to understand. To be honest, ANTLR 3/4 is more powerful than LLLPG because the lookahead value k is unlimited, but unlimited lookahead is not free; if your goal is to write a fast parser, limiting yourself to LL(k) is something you might do anyway. In LLLPG, you can still do unlimited lookahead with a zero-width assertion, it's just not automatic; you have to ask for it.
• Simple, concise output. Minimal runtime baggage. LLLPG attempts to generate lightweight parsers, similar to what you would write by hand (slightly more verbose, but not bad). I haven't tried ANTLR 4, but LLLPG usually produces simpler output than ANTLR 3. Plus, unlike ANTLR, LLLPG is designed to not need a runtime library; it can get by with just a single base class (actually two in practice, one for lexers and one for parsers) that you can copy from me, or rewrite yourself, if you enjoy reinventing wheels.
• Speed over beauty. LLLPG tries to produce code that is easy-to-follow, but it selectively uses goto and switch statements to maximize performance.
• Exception-free. Last time I used ANTLR, it still relied on exceptions for backtracking. LLLPG does not; actually, it doesn't do backtracking at all except when you use syntactic predicates, which create special backtracking subparsers called "recognizers".
• A focus on prediction. LLLPG is designed to focus on one job and do it as well as possible: LL(k) prediction analysis. LLLPG doesn't try to do everything for you: it doesn't construct tokens, it doesn't create syntax trees. You're a programmer, and you already have a programming language; so I assume you know enough to design your own Token class and syntax tree classes. If I designed and built your syntax trees for you, I figure I'd just be increasing the learning curve: not only would you have to learn how to use LLLPG, you'd have to learn my class library too! No, LLLPG's main goal is to eliminate the most difficult and error-prone part of writing LL(k) parsers by hand: figuring out which branch to take, or which method to call. LLLPG still leaves you in charge of the rest. That said, I have designed a universal syntax tree as part of the Loyc project, called the Loyc tree (LNode), but LLLPG is not oriented toward helping you use them. Even so, I hope you'll consider using Loyc trees. Internally, LLLPG's implementation uses them heavily. There's also a standard Token type.
• Balanced between speed and power. LLLPG supports LL(k), zero-width assertions, and other features that make it more powerful than Coco/R which only supports LL(1) directly. It is not as powerful as ANTLR, which supports LL(*) and beyond, but by writing LL(k) grammars rather than LL(*) grammars, you can theoretically get faster parsers. I can't compete with ANTLR on features; Terrance Parr has been writing ANTLR and its predecessor for almost 20 years now, I think. But, you probably don't need all those advanced features; I believe the feature set I chose is powerful enough for all modern languages, although it doesn't make everything easy. The fact that I wrote the EC# parser in LLLPG is proof of its real-world value.

## "Blah, blah, blah! Show me this thing already!"

Okay, let's get started! Here's a really simple example (EC#):

LLLPG (lexer) {
public rule Digit @[ '0'..'9' ];
public rule Integer @[ Digit+ ];
};  

And the output is:

public void Digit()
{
MatchRange('0', '9');
}
public void Integer()
{
int la0;
Digit();
for (;;) {
la0 = LA0;
if (la0 >= '0' && la0 <= '9')
Digit();
else
break;
}
} 

That's it! So here's some relevant facts to learn at this point (I love bulleted lists, don't you? I wish people would use more of them!):

• First of all, to keep this example simple and brief I didn't bother with any "using" statements, and I didn't wrap this code in a namespace or a class. My little mini-language doesn't care; the output reflects the input, so the output will likewise not have any "using" statements and won't be wrapped in a class or a namespace either. Garbage in, garbage out. If you want the output to be wrapped in a class declaration, you have to wrap the input in a class declaration.
• The grammar must be wrapped in an LLLPG block. Use "LLLPG (lexer)" for a lexer and "LLLPG (parser)" for a parser. The difference between the two is the treatment of terminals (characters or tokens):
• Lexer mode understands only integer and character input, but is optimized for this input. It does not accept named constants, only literal numbers and characters, because it can't tell which number a name might refer to (Edit: there is now an alias statement for naming constants). This mode assumes -1 means EOF (end-of-file). Note that lookahead variables have type int, not char, because char cannot hold -1, the representation of EOF. Luckily, C# doesn't really mind (char converts to int implicitly, although not the other way around).
• Parser mode does not understand numbers, only symbols. Theoretically, the parser mode could be used for lexers too; the main problem is that it does not understand the range operator .., so you'd have to write monstrosities like '0'|'1'|'2'|'3'|'4'|'5'|'6'|'7'|'8'|'9' instead of '0'..'9'. Yuck. Parser mode expects you to define a C# symbol called EOF that represents end-of-file. In parser mode, a symbol called Foo is assumed to be a terminal if there is no rule called Foo.
• Each rule gets converted into a method with the same name. Attributes on the rule, such as public or unsafe (why are you using unsafe in a parser, smarty pants?) are transferred to the output. Rules support a few attributes, such as [FullLLk], that are understood by LLLPG itself and stripped out of the output. The private attribute has a special meaning, and will cause a slightly different interpretation than a rule that is not marked private.
• LLLPG expects you to define a property called LA0 that returns the current input character; it also expects an LA(int k) method for other lookahead values. As an optimization, LLLPG caches LA0 in a variable (la0), in case LA0 is a virtual method call or something like that.
• The lexer mode expects a method called MatchRange() to exist (and both modes expect a series of Match() methods for matching particular characters or tokens). This method's job is to test whether the input character matches the specified range, and to emit an error message if not. On mismatch, you can throw an exception, print a message, or whatever suits you. On success, MatchRange() should return the consumed character so that you can store it in a variable if you want.
• The + operator means "one or more of these". Digit+ is exactly equivalent to Digit Digit*; the * means "zero or more of these", and the * operator is translated into a for-loop, as you can see in the output (as you probably know, for (;;) means "loop indefinitely"; it's equivalent to while (true).)
• This example also demonstrates the main characteristic of LL(k) parsers: prediction. The <c>if (la0 >= '0' && la0 <= '9') statement is performing a task called "prediction", which means, it is deciding which branch to take (Digit? or exit the loop?). It must reach across rules to do this: each rule requires an analysis of every other rule it calls, in addition to analysis inside the rule itself. In this case, Integer must be intimately familiar with the contents of Digit. Which is kind of romantic, when you think about it.
• The body of the rule is enclosed in @[...];. Why not braces, or parenthesis? Because LLLPG is embedded inside another programming language, and it cannot change the syntax of the host language. The construct "public rule Foo @[...];" is actually parsed by EC# as a property declaration, except with @[...] instead of the usual {...}. The @[...] is something called a token literal, which is a list of tokens (actually a tree, which matches pairs of ( ) { } [ ]). The EC# (or LES) parser gathers up all the tokens and stores them for later. After the entire source file is parsed, the macro processor gives LLLPG a chance to receive the token tree and transform it into something else. LLLPG it runs its own independent parser to process the token tree. Finally, it replaces the LLLPG block with normal C# code that it generated. I'll explain this in more detail later.

## Another example

My next example is almost useful: a simple lexer.

using System;

enum TT { // Token types
Integer, Identifier, Operator
}
LLLPG (lexer) {
private token Letter @[ ('a'..'z'|'A'..'Z') ];
private token Id  @[ (Letter|'_')
(Letter|'_'|'0'..'9')* ];
private token Int @[ '0'..'9'+ ];
private token Op  @[ '+'|'-'|'*'|'/' ];
public token TT Token @
[  Op  {return TT.Operator;}
|  Id  {return TT.Identifier;}
|  Int {return TT.Integer;}
];
};  

In this example, using System and the enum are completely standard C# code and it will be printed out unchanged (well, it'll be reformatted. Whitespaces and comments are not preserved.) The rest is a mixture of Enhanced C# and LLLPG code.

Unlike ANTLR, which generates text output and treats actions in braces {...} like plain text, LLLPG fully parses its input, and generates output in the form of a Loyc tree, not text. An independent library is in charge of formatting that Loyc tree as C# code (I welcome volunteers to write output libraries for other languages such as C++ and Java. You won't just be helping LLLPG itself, but the entire Loyc project! Let me know if you're interested.)

Here's the generated code:

using System;
enum TT
{
Integer, Identifier, Operator
}
void Letter()
{
Skip();
}
void Id()
{
int la0;
la0 = LA0;
if (la0 >= 'A' && la0 <= 'Z' || la0 >= 'a' && la0 <= 'z')
Letter();
else
Match('_');
for (;;) {
la0 = LA0;
if (la0 >= 'A' && la0 <= 'Z' || la0 >= 'a' && la0 <= 'z')
Letter();
else if (la0 == '_')
Skip();
else if (la0 >= '0' && la0 <= '9')
Skip();
else
break;
}
}
void Int()
{
int la0;
MatchRange('0', '9');
for (;;) {
la0 = LA0;
if (la0 >= '0' && la0 <= '9')
Skip();
else
break;
}
}
void Op()
{
Skip();
}
public TT Token()
{
int la0;
la0 = LA0;
switch (la0) {
case '*':
case '+':
case '-':
case '/':
{
Op();
return TT.Operator;
}
break;
default:
if (la0 >= 'A' && la0 <= 'Z' || la0 == '_' ||
la0 >= 'a' && la0 <= 'z') {
Id();
return TT.Identifier;
} else {
Int();
return TT.Integer;
}
break;
}
}

This example demonstrates some new things:

• Notice that the Letter() and Op() methods simply call Skip(), which means "advance to the next input character". That's because LLLPG has analyzed the grammar and detected that in all the places where Letter() or Op() is called, the caller has already verified the input! So Letter() and Op() don't have to check the input, it's already guaranteed to be correct. This is an optimization called prematch analysis. Note: For this optimization to work, the rule must be explicitly marked private; otherwise, LLLPG assumes that the rule could be called by code outside the grammar.
• Similarly, there are statements like if (la0 == '_') Skip(); rather than if (la0 == '_') Match('_');. The user-supplied Match(x) method must check whether LA0 matches x, but Skip() can skip the check.
• The return statements in braces are called actions. LLLPG parses all actions, but it's important to understand that LLLPG does not understand them. For example, I've used a return statement, but LLLPG does not understand what the return statement does, and it does not take it into account during its analysis of the grammar. In this case, the return statement returns from the method early, and LLLPG doesn't know that. But in this case, LLLPG doesn't need to know that (because if it did know, it would generate the same output anyway), so it is safe to use a return statement. In more complicated situations, though, you might introduce a bug in your parser by doing unexpected control flow. So, be smart about it.
• Instead of rule, I used token instead. Actually, in this example there is no difference whatsoever between rule and token; both generate the same code. I guess this was the wrong time to introduce token, since I can't demonstrate the difference yet. Anyway, there's this "token" mode, and it's called token because it usually makes more sense to use it in lexers than parsers. But, er, you can use it in parsers too. I dunno, maybe it needs a new name.
• LLLPG uses a switch statement if it suspects the code could be more efficient that way. Here it used switch() to match Op(). However, it tries to balance code size with speed. It does not use switch cases for Id() because it would need 53 "case" labels to match it (26 uppercase + 26 lowercase + '_'), which seems excessive.

## The LeMP processing model

If you're only interested in the parser generator, please skip this section, because right now I'd like to discuss the fancy technology that LLLPG is built on. In fact, you can skip most of the rest of the article and go straight to part 2.

So here's the deal. I designed a language called Enhanced C# which it only now starting to take shape. This language is designed to be about 99.7% backward compatible with C#, and the parser is about 93% complete (e.g. LINQ support is missing.) There is no EC# compiler yet, but there is a printer. With a few lines of code, you can parse a block of EC# code and print it out again:

// The using statements change the default printer and parser (the default
// is LES, so change to EC#).
using (LNode.PushPrinter(Ecs.Parser.EcsLanguageService.Value.Printer))
using (ParsingService.PushCurrent(<a href="http://ecsharp.net/doc/code/classEcs_1_1Parser_1_1EcsLanguageService.html">Ecs.Parser.EcsLanguageService</a>.Value))
{
string input = @"{ your_code_here(Any_EC#_code_will_work); }";
LNode code = ParsingService.Current.ParseSingle(input, MessageSink.Console);
string output = code.ToString();
}

Since EC# is a superset of C#, LLLPG is able to produce C# code by using the EC# printer, as long as it only uses the C# subset of the language.

Earlier you saw a screen shot of LINQPad in which the input to LLLPG was LES code. LES is not a programming language, it is just a syntax and nothing else. One of the core ideas of the Loyc project is to "modularize" programming languages into a series of re-usable components. So instead of writing one big compiler for a language, a compiler is built by mixing and matching components. One of those components is the Loyc tree (the LNode class in Loyc.Syntax.dll). Another component is the LES parser (which is a text representation for Loyc trees). A third component is the EC# parser, a fourth component is the EC# printer, and a fifth component is LeMP, the macro processor.

### Bootstrapping LLLPG

In order to allow LLLPG to support EC#, I needed a EC# parser. But how would I create a parser for EC#? Obviously, I wanted to use LLLPG to write the parser, but without any parser there was no easy way to submit a grammar to LLLPG! After writing the LLLPG core engine and the EC# printer, here's what I did to create the EC# parser:

1. I used C# operator overloading and helper methods as a rudimentary way to write LLLPG parsers in plain C# (example test suite).
2. Writing parsers this way is very clumsy, so I decided that I couldn't write the entire EC# parser this way. Instead, I designed a new language that is syntactically much simpler than EC#, called LES. This language would serve not only as the original input language for LLLPG, but as a general syntax tree interchange format—a way to represent syntax trees of any programming language: "xml for code".
3. I wrote a lexer and parser for LES by calling LLLPG programmatically in plain C# (operator overloading etc.)
4. I wrote the MacroProcessor class (which I later named "LeMP", short for "Lexical Macro Processor") and a wrapper class called Compiler that provides the command-line interface. MacroProcessor's job is to scan through a syntax tree looking for calls to "macros", which are source code transformers (more on that below). It calls those transformers recursively until there are no macro calls left in the code. Finally, <code>Compiler prints the result as text.
5. I built a small "macro language" on top of LES which combines LeMP (the macro processor) with a set of small macros that makes LES look a lot like C#. The macros are designed to convert LES to C# (you can write C# syntax trees directly in LES, but they are a bit ugly.)
6. I wrote some additional macros that allow you to invoke LLLPG from within LES.
7. I hacked the LES parser to also be able to parse LLLPG code like @[ a* | b ] in a derived class (a shameful abuse of "reusable code").
8. I wrote a lexer and parser for LES in LES itself.
9. I published this article in (Oct 2013).
10. I wrote the lexer and parser of EC# in LES, in the process uncovering a bunch of new bugs in LLLPG (which I fixed)
11. I added one extra macro (ECSharpRule) to support LLLPG in EC#.
12. Finally, to test the EC# parser, I rewrote the grammar of LLLPG in EC#.
13. I updated this article (Feb 2014).

At long last the bootstrapping is complete, so you can write LLLPG parsers in EC#!

### Macros

Macros are a fundamental feature of LISP that I am porting over to the wider world of non-LISP languages.

A macro (in the LISP sense, not in the C/C++ sense) is simply a method that takes a syntax tree as input, and produces another syntax tree as output. Here's an example of a macro:

[SimpleMacro("Name::Type",
"Defines a variable or field in the current scope.", "#::")]
public static LNode ColonColon(LNode node, IMacroContext context)
{
var a = node.Args;
if (a.Count == 2) {
LNode r = node.With(S.Var, a[1], a[0]);
r.BaseStyle = NodeStyle.Statement;
return r;
}
return null; // leave code unchanged
}

This macro is part of the "LES Prelude class" for LeMP. Its job is to take a LES "variable declaration" such as x::Foo and change it into a different tree that the C# language service understands: <code>#var(Foo, x), which represents Foo x;.

The input, x::Foo, is represented as a call to #:: with two arguments, x and Foo. ColonColon() is designed to transform the call to "#::". It checks that there are two arguments, and swaps them while changing the call target from #:: to S.Var, which is an alias for #var. The C# node printer considers #var(type, name) to represent a variable declaration, and prints it with the more familiar syntax "type name".

The point is, LLLPG is defined as a "macro" that takes your LLLPG (lexer) { ... }; or LLLPG (parser) { ... }; statement as input, and returns another syntax tree that represents C# source code. As a macro, it can live in harmony with other macros like the ColonColon macro.

## LLLPG's input languages: EC# & LES

### Enhanced C# (EC#)

As I mentioned, Enhanced C# is a language based on C# whose compiler doesn't exist yet (I'm looking for volunteers to help build the compiler, stay tuned.) The parser does exist, though, so I can talk about some of the new syntax that EC# supports. Actually there is quite a bit of new syntax in EC#; let me just tell you about the syntax that is relevant to LLLPG.

#### Token literals

Loyc.Syntax.Lexing.TokenTree eightTokens = @[
This token tree has eight children
(specifically, six identifiers and two parentheses.
The tokens inside the parentheses are children of the opening '('.)
];

LLLPG is a "domain-specific language" or DSL, which means it's a special-purpose language (for creating parsers).

Token trees are a technique for allowing DSLs (Domain-Specific Languages) without any need for "dynamic syntax" in the host language. Unlike some "extensible" languages, EC# and LES do not have "extensible" parsers: you cannot add new syntax to them. However, EC# and LES do have token literals, which are collections of tokens. After a source file has been parsed, a macro can run its own parser on a token tree that is embedded in the larger syntax tree. That's what LLLPG does.

EC# allows token trees in any location where an expression is allowed. It also allows you to use a token tree instead of a method body, or instead of a property body. So when the EC# parser encounters statements like these:

rule Bar @[ "Bar" ];
rule int Foo(int x) @[ 'F' 'o' 'o' {return x;} ];

The parser actually sees these as property or method declarations. LLLPG's ECSharpRule macro then transforms them into a different form, shown here:

// This is also valid EC# source code
#rule(void, Foo, (), "Bar");
#rule(int, Foo, (#var(int, x),), ('F', 'o', 'o', { return x; }));

The main LLLPG macro is in charge of turning this into the final output:

void Bar()
{
Match('B');
Match('a');
Match('r');
}
int Foo(int x)
{
Match('F');
Match('o');
Match('o');
return x;
}

#### Block-call statements

get { return _foo; }
set { _foo = value; } 

In C#, you may have noticed that "get" and "set" are not keywords. Not unless they are inside a property declaration, that is. In C#, they "become" keywords based on their location.

EC# generalizes this concept. In EC#, get and set are never keywords no matter where they appear. Instead, get {...} and set {...} are merely examples of a new kind of statement, the block-call statement, which has two forms:

identifier { statements; }                  // form 1: simple
identifier (argument, list) { statements; } // form 2: with args

These statements are considered exactly equivalent to method calls of the following form:

identifier({ statements; });                 // form 1: simple
identifier(argument, list, { statements; }); // form 2: with args

So the LLLPG block:

LLLPG (parser(laType(TokenType), matchType(int))) {
rule Foo @[ ... ];
}

Is a block-call statement, equivalent to

LLLPG (parser(laType(TokenType), matchType(int)), {
rule Foo @[...];
});

#### Blocks as expressions

string fraction = "0.155";
float percent = 100 * { if (!float.TryParse(fraction, out float tmp)) tmp = -1; tmp };

In EC#, {braced blocks} can be used as expressions, which explains what a method call like foo(x, { y(z) }) means. When a block is used inside an expression, like this, the final statement in the block becomes the return value of the block as a whole, when there is no semicolon on the end of the final statement. In this case, tmp is the result of the block, so percent will be set to 15.5. Or rather, it will be set to 15.5 after the EC# compiler is written. Until then, this is merely an interesting but useless syntax tree.

In the case of a statement like

LLLPG (parser(laType(TokenType), matchType(int)), { rule Foo @[...]; });

Everything in the outer parentheses is passed to a macro belonging to LLLPG, which (to make a long story short) transforms it into C# code.

That's enough information to understand how LLLPG works. Hopefully now you understand the concept of LLLPG as a DSL embedded in EC#.

### Loyc Expression Syntax (LES)

LES is very comparable to EC#, especially its lexer (e.g. "strings", 'c'haracters, and @identifiers are practically the same between the two languages). It has

• Token literals @[...]
• Blocks as expressions
• Superexpressions, which serve a similar function as block-call statements in EC#, and are also used to represent def function declarations, if statements, for loops, rules and virtually all other "special" syntax.

Important: All LES-based parsers now need to have the following first line:

import macros LeMP.Prelude.Les;

Originally this was not required because the LES "prelude" macros were imported automatically. However, the LES prelude could potentially interfere with normal C# code, so it is no longer imported automatically (the macro compiler doesn't know anything about the input language, so it is unaware of whether it should import the macros or not).

When LLLPG was first released, you had to use LES, so I wrote the following section which describes the relationship between LES code and C# code. If you want, you can still write parsers in LES, but of course most readers will prefer EC#.

### Differences & similarities between LeMP/LES and C#

I don't want to bore you with all the details, but the most striking difference between LES and C# is that LES has no keywords whatsoever. Words like if and while are not parsed in a special way because of the actual word used, but because of the how the statement is formatted.

Anyway, here's a list:

#### Similarities:

The following statements mean the same thing in LeMP/LES and C#:

return;
return x;
continue;
break;
var x = value;  // Only "var" works this way. Most variable declarations
// look different in LeMP/LES (see below)
x = y++ * 10;   // The same operators are available; however, you
// MUST include a space between different operators
// because e.g. ++* would be treated as a single operator
Console.Write("Hi"); // Call methods the same way, but do not add a space
// between the method name and argument list.

#### Differences:

In many cases the difference is simply that you need an extra semicolon or braces.

using System.Collections.Generic;  // C#
import System.Collections.Generic; // LES: 'using' works, but gives a warning.

class Foo { // C#
public Foo() : this(0) { }
public Foo(int num) { }
}
class Foo { // LES: add 'cons' and semicolons; call base() as first statement
public cons Foo() { this(0); };
public cons Foo(num::int) { };
};

class Foo : BaseClass, IEnumerable<object> { }  // C#
class Foo(BaseClass, IEnumerable!object) { };   // LES (no space after 'Foo')

int Square(int x)       { return x*x; }  // C#
def Square(x::int)::int { return x*x; }; // LES

void Quit() { throw new QuitException(); }    // C#
def Quit()  { throw (new QuitException()); }; // LES

int x, y; string s;                 // C#
x::int; y::int; s::string;          // LES

int[] list1;      List<int> list2;  // C#
list1::array!int; list2::List!int;  // LES

int? maybe = null;       bool flag = true;
maybe::opt!int = @null;  flag::bool = @true;

int more = (int)(num * 1.5);
more::int = (num * 1.5) -> int;

while (x) Foo();      // C#
while (x) { Foo(); }; // LES (semicolon required)
while x   { Foo(); }; // LES (parens optional)

do x/=2; while (x>y);     // C#
do { x/=2; } while (x>y); // LES (add braces)

for (x = 0; x < 10; x++) Console.WriteLine(x);      // C#
for (x = 0, x < 10, x++) { Console.WriteLine(x); }; // LES (note the commas)

foreach (var item in list) { Process(item); }  // C#
foreach (item \in list)    { Process(item); }; // LES

if (c) return 0;      // C#
if (c) { return 0; }; // LES (semicolon required)
if c   { return 0; }; // LES (parens optional)

if (list.Count > 0) str.Append(list[i]);         // C#
unless list.Count == 0 { str.Append(list[i]); }; // LES

if (inc) x++; else x--;      // C#
if (inc) {x++;} else {x--;}; // LES (semicolon required)
if inc   {x++;} else {x--;}; // LES (parens optional)

switch (x) { case 123: break; default: break; }          // C#
switch (x) { case 123; break; default; break };          // LES: no colons
switch (x) { case 123 { break; }; default { break; }; }; // LES: can use braces

try { } catch (Exception ex) { } finally { }; // C#
try { } catch ex::Exception  { } finally { }; // LES

In fact, in many of these cases the braces are not actually required, but you should include them as long as you don't fully understand how LES works. Many error messages that don't mention a semicolon are actually referring to a missing semicolon; LeMP gets confused because code like

if (a) { ... } // missing semicolon
if (b) { ... }  

is parsed successfully as a single statement if (a, {...}, if, b, {...}), which the "if" macro does not understand because there are too many arguments.

## Wrapping up

Obviously, I've just scratched the surface here, but this is almost enough for an introduction. As a next step, you can try out the demo lexer and parser included with this article.

The bug in the SFG custom tool (LllpgForVisualStudio.exe 1.0) that involved this weird exception courtesy Microsoft:

InvalidCastException: Unable to cast COM object of type 'System.__ComObject' to interface type 'Microsoft.VisualStudio.Shell.Interop.IVsGeneratorProgress'. This operation failed because the QueryInterface call on the COM component for the interface with IID '{BED89B98-6EC9-43CB-B0A8-41D6E2D6669D}' failed due to the following error: No such interface supported (Exception from HRESULT: 0x80004002 (E_NOINTERFACE)).

has been fixed in 1.1.0, so error messages will appear in the normal error list instead of on message boxes.

The other articles in this series are finished. Here's a list of topics that are covered in future articles:

• What does LL(k) mean, anyway?
• Requirements on the base class (BaseLexer and BaseParserForList).
• Setting lookahead: By default, the k in LL(k) is 2: LLLPG makes decisions on at most 2 characters or tokens of lookahead. Use the [k(4)] rule attribute to allow 4 characters of lookahead instead (or the [DefaultK(4)] attribute on the whole grammar, i.e., the LLLPG statement). In ambiguous grammars, raising k will enlarge the output size at an alarming rate. Please k responsibly.
• Managing ambiguity: most computer languages are actually somewhat ambiguous. LLLPG will first detect ambiguity and warn you about it using an example of an ambiguous input ("Alternatives (2, 4) are ambiguous for input such as «0x_»"). Branches are specified in priority order, and you can suppress warnings by separating branches with / (which works the same way as |, but slanted). In case of ambiguity with the exit branch, you can use "greedy" or "nongreedy" to specify whether looping or exiting, respectively, should have higher priority.
• Actions, denoted {code;}, are code snippets inserted into the parser. Actually there's not much to say about them.
• The set-inversion operator ~ : If TT.Foo refers to a token type, ~TT.Foo matches any single token except TT.Foo.
• Saving inputs: The value of a terminal can be assigned to a variable using x:='a'..'z' to create a variable x, x='a'..'z' to assign the value to an existing variable x, or xs+='a'..'z' to add the value to a list 'xs' by calling list.Add(MatchRange('a', 'z')).
• Error handling: By default, LLLPG generates prediction code with the assumption the input is always well-formed. But there are a couple of ways to handle errors, including an "error branch" as in (a | b | error { HandleError(); }), and the [NoDefaultArm] grammar attribute. Alternatively, you can designate one branch as the default (the default default branch is the last branch or the exit branch.)
• Real LL(k): LLLPG doesn't use "real" LL(k) by default, it uses a slightly weaker prediction system that resembles Terrance Parr's "Linear Approximate Lookahead", except that my version is a bit more powerful. Sometimes my pseudo-LL(k) isn't quite powerful enough, so you can add the experimental [FullLLk] attribute to your grammar or to an individual rule, which causes "real" LL(k) to be used.
• Semantic predicates, denoted &{expr}, which are used for disambiguation. If two branches are ambiguous, you can use a semantic predicate to put a condition on one or both branches that will be used to disambiguate; expr is simply a C# expression (or LES expression, if the input file is LES).
• Syntactic predicates, a.k.a. zero-width assertions, denoted &(foo), are very similar, except that instead of running a C# expression, LLLPG tests whether the input matches the syntax foo. Syntactic predicates can perform unlimited lookahead, so you can use them to escape the limitations of LL(k) grammars.
• In LLLPG, loops (foo*), optional elements (foo?) and branches (a|b|c) are all instances of a single core predicate called Alts. LLLPG treats the loop and branch arms in (a|b|c)* as a single unit.
• Gates, denoted p => m, separates "prediction" from "matching". Basically it is used to make LLLPG behave irrationally, and you'll rightly feel proud of yourself if you can find a legitimate use for it. => has higher precedence than |; a | b => c | d is parsed a | (b => c) | d.
• All about Loyc and its libraries.

So that's it! Hope you like my parser generator, folks, and I'll be happy to answer your questions. But you probably don't have questions. Because I pretty much covered everything.

## History

• Oct 7, 2013: LLLPG 0.9 released with this article
• Nov 19, 2013: Updated LLLPG to 0.91. Updated demo to be a bit cleaner and to eliminate dependencies on Loyc libraries. LLLPG 0.91 contains some bug fixes, a new alias(X = Y) command, and eliminates the dependency on IntSet. Visual Studio extensions coming soon...
• Nov 26, 2013: Part 2 published with Visual Studio extensions.
• Feb 8, 2014: LLLPG 1.0 released with EC# support; demo and article updated. Demo now uses EC# by default (LES version still included) and supports "mathy" expressions such as 2(2 + 5) => 14.
• Feb. 23, 2014: Part 3 published with LLLPG 1.1.0 and multiple new demos.
• Feb. 25, 2014: Part 4 published.
• June 19, 2015: Part 5 published
• March 3, 2016: LLLPG updated with new version of LeMP - please visit the new LeMP home page.

## About the Author

 Software Developer None Canada
Since I started programming when I was 11, I wrote the SNES emulator "SNEqr", the FastNav mapping component, the Enhanced C# programming language (in progress), the parser generator LLLPG, and LES, a syntax to help you start building programming languages, DSLs or build systems.

My overall focus is on the Language of your choice (Loyc) initiative, which is about investigating ways to improve interoperability between programming languages and putting more power in the hands of developers. I'm also seeking employment.

## Comments and Discussions

 First PrevNext
 Application / Example Mark Redman7-Mar-16 20:45 Mark Redman 7-Mar-16 20:45
 Re: Application / Example Qwertie8-Mar-16 13:36 Qwertie 8-Mar-16 13:36
 My vote of 5 csharpbd6-Mar-16 8:04 csharpbd 6-Mar-16 8:04
 CodeCommander InvisibleMedia30-Jun-15 3:26 InvisibleMedia 30-Jun-15 3:26
 Re: CodeCommander Qwertie30-Jun-15 7:39 Qwertie 30-Jun-15 7:39
 Re: CodeCommander InvisibleMedia1-Jul-15 21:55 InvisibleMedia 1-Jul-15 21:55
 Re: CodeCommander Qwertie2-Jul-15 5:26 Qwertie 2-Jul-15 5:26
 Re: CodeCommander InvisibleMedia3-Jul-15 9:54 InvisibleMedia 3-Jul-15 9:54
 Re: CodeCommander Qwertie3-Jul-15 10:40 Qwertie 3-Jul-15 10:40
 Re: CodeCommander InvisibleMedia4-Jul-15 4:08 InvisibleMedia 4-Jul-15 4:08
 Re: CodeCommander Qwertie4-Jul-15 8:37 Qwertie 4-Jul-15 8:37
 Re: CodeCommander Member 120239887-Mar-16 10:40 Member 12023988 7-Mar-16 10:40
 Re: CodeCommander InvisibleMedia8-Mar-16 11:38 InvisibleMedia 8-Mar-16 11:38
 Re: CodeCommander Member 1202398814-Mar-16 17:28 Member 12023988 14-Mar-16 17:28
 Unfree license, use MIT lama1234529-Jun-15 6:42 lama12345 29-Jun-15 6:42
 Re: Unfree license, use MIT Qwertie29-Jun-15 10:25 Qwertie 29-Jun-15 10:25
 Re: Unfree license, use MIT lama1234529-Jun-15 14:29 lama12345 29-Jun-15 14:29
 Re: Unfree license, use MIT Qwertie30-Jun-15 7:31 Qwertie 30-Jun-15 7:31
 Re: Unfree license, use MIT lama1234530-Jun-15 7:49 lama12345 30-Jun-15 7:49
 And you are sticking to a wrong definition of "free", indoctrinated by the "FreeAIDS Software Foundation". Good job, evangelist. I've played with quite some parsers/lexers to learn it, as you can see on my GitHub: https://github.com/kungfooman/Top-Down-Operator-Precedence and other repositories. And I would like to play with LLLPG also and maybe use it in Unity3D (commercial and closed source muh), but I already don't give a f*** anymore. Keep whatever license you want, but don't wonder when nobody wants to play with it.
 Re: Unfree license, use MIT Qwertie30-Jun-15 7:58 Qwertie 30-Jun-15 7:58
 Re: Unfree license, use MIT lama1234530-Jun-15 8:25 lama12345 30-Jun-15 8:25
 Re: Unfree license, use MIT Qwertie30-Jun-15 8:35 Qwertie 30-Jun-15 8:35
 Re: Unfree license, use MIT Member 121984806-Mar-16 23:34 Member 12198480 6-Mar-16 23:34
 Re: Unfree license, use MIT Qwertie7-Mar-16 5:21 Qwertie 7-Mar-16 5:21
 What about SQL? Win32nipuh11-Jan-15 2:10 Win32nipuh 11-Jan-15 2:10
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Posted 7 Oct 2013

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