Thursday, July 31, 2008

Building an Object-Oriented Parasitic Metalanguage

It's all about pattern matching. The rest is just details.

My last post on OMeta# focused on what it is and the vision I have for its future. Briefly, OMeta is a new language that makes it easier to design programming languages in an object-oriented fashion using very few lines of quite readable code. OMeta# is my attempt to support OMeta on the .NET runtime. My main strategy has been to base its design off of Alessandro Warth's JavaScript implementation of OMeta/JS. This post gets into the specifics of how I've done this so far, but my hope is that you might see some places where the design could use improvement and that you might be encouraged to leave a comment so that it could get better.

High Level Design

At its core, OMeta has a very simple design. The highest level of abstraction is a grammar. Here is a calculator grammar in the current implementation of OMeta#:

ometa Calculator <: Parser {
Digit = Super((Digit)):d -> { d.ToDigit() },
Number = Number:n Digit:d -> { n.As<int>() * 10 + d.As<int>() }
AddExpr = AddExpr:x '+' MulExpr:y -> { x.As<int>() + y.As<int>() }
AddExpr:x '-' MulExpr:y -> { x.As<int>() - y.As<int>() }
MulExpr = MulExpr:x '*' PrimExpr:y -> { x.As<int>() * y.As<int>() }
MulExpr:x '/' PrimExpr:y -> { x.As<int>() / y.As<int>() }
PrimExpr = '(' Expr:x ')' -> { x }
Expr = AddExpr

A grammar is composed of rules (which are sometimes referred to as "productions"). Both the grammar itself and the rules have the same form:

Going into the rule is a list of things of the input type (here they're represented by red circles) and coming out on the right is a list of things of the destination type (represented by purple triangles). As you can see from the diagram, the output list can have lists inside of it. In the calculator grammar, the circles are individual characters and the output is a single integer.

My "Ad Hoc, Informally-Specified, Bug-Ridden, Slow Implementation of Half of Common Lisp"

As an implementer of OMeta, you have to make several design choices. One of the first is how to represent grammars. Since OMeta is object-oriented, I decided that it made sense to represent grammars as a .NET class (a.k.a. "Type"). Grammars contain rules; the obvious choice for implementing rules is to use a method. This especially makes sense because rules can refer to rules in their base grammar. For example, the above calculator grammar has a rule called "Digit" which captures a single numeric digit. The "Digit" rule applies the "Digit" rule in its base grammar (Parser) that simply captures a digit character. It does this by applying the special "Super" rule which will use the base grammar to apply the rule that is specified by an argument. Since rules are implemented as methods and rules can "override" their definition from their base grammar, it made sense to make rule methods "virtual."

Another important decision is how to represent data going into and out of a rule application. An easy choice is to represent the data in a List<T>. This works out well except for the small detail that lists can contain other lists. This nested list idea has been around for at least 50 years in LISP and languages derived from it (like Scheme). Since it has worked out fairly well in those languages, I stole the idea of a LISP-like list in my OMetaList<TInput> class which is a list of other lists with a special case that makes lists of length 1 equivalent to the element itself.

These decisions get us started, but a problem comes up if you try to implement the factorial function using recursion in an OMeta grammar:

ometa Factorial {
Fact 0 -> { 1 },
Fact :n ?(n.As<int>() > 0) Fact((n.As<int>() - 1)):m -> { n.As<int>() * m.As<int>() }

If you look carefully at this grammar, you'll see that it only says two things:

  1. If the next element of input matches a 0, return 1
  2. If the next element of input is something greater than zero, store its value to "n" and then apply the "Fact" rule supplying it with the value of "n - 1" and capture that result to "m". Finally, return "n * m".

What might not be obvious at first is that any time you store something to a variable using an expression like ":n", the value stored must be of the destination type (e.g. a triangle in the diagram). This makes us need to update our mental model for how OMeta works. We need a place to store rule "arguments" which are already in the destination type.

One way of doing this is to create an argument stack that is separate from the rest of the input. Additionally, we'll need a place to store grammar-local variables as well as a place to remember previous results of rule applications for performance reasons. This gives us a much more complete picture of what really occurs:

When a rule needs to consume input, it will first attempt to grab pop an item from the argument stack. If the stack is empty, then next element from the input list can be read.

I decided to store all of these details into a single class which I call an OMetaStream<TInput> which internally uses an OMetaList<TInput> for input data and an OMetaList<HostExpression> for storing the argument stack. The arguments are actually stored in an OMetaProxyStream<TInput> which inherits from OMetaStream<TInput>, but this is just an implementation detail.

With the major data structures out of the way, one important choice remaining is how to handle going down the wrong path. If you look at the calculator grammar, you'll see that the "AddExpr" rule can be of the form "x + y", or "x - y", or a "MulExpr".

How does OMeta know which one to take? It makes a prioritized choice by trying each of the alternatives in the order specified. If it discovers that it has gone down the wrong path (e.g. the next item from the input is a "-" instead of a "+"), it needs to backtrack and reset itself to the condition it was in before the bad choice and then try the next option.

There are two obvious ways of doing this. The first approach is to leverage runtime support by using exceptions. This is exactly what OMeta/JS does. Using exceptions has an advantage of making the generated code simpler because there is no explicit code to "unwind the stack" in case you go down a bad path.

Although it makes the code easier to read, I decided against using exceptions and instead chose to use methods that return a boolean value to indicate if they succeeded. I did this for two important reasons:

  1. .NET does a bit of extra work when an exception is thrown (e.g. getting a stack trace). Therefore, throwing an exception has a non-trivial performance penalty.
  2. Rules have prioritized choice. This means that failing a single choice doesn't imply that the whole rule fails. Failing can be a very common occurrence (it's not exceptional) and this makes it very performance sensitive.

Here's a small glimpse of what the generated code looks like for attempting to apply the "AddExpr" rule:

OMetaList<HostExpression> x;
OMetaStream<char> addExprOut;

if(!MetaRules.Apply(AddExpr, inputStream2, out x, out addExprOut))
return MetaRules.Fail(out result2, out modifiedStream2);

In this case, AddExpr is the name of the rule which is implemented as a method. Data is read from the "inputStream2" which is an OMetaStream (where the red circles are characters). The resulting list is saved to the "x" variable and the modified stream is stored in "addExprOut". In order to make back-tracking easier, OMetaStreams are mostly immutable, which means that they can't change. Instead of updating the stream itself, you get a fresh copy of the stream that contains what the result would be. If you need to back track, you can simply ignore the rule application output. As a side benefit, it makes it slightly easier to debug since you don't have to worry about the mutations that could otherwise occur.


OMeta's creator likes to refer to OMeta as a "parasitic language" because it doesn't exist on its own. It always lives on top of a "host language." This makes an implementation usually defined in terms of its host language. That's why there is "OMeta/JS" which uses JavaScript as a host language. Although my ultimate goal for OMeta# is to have the host language be any .NET language, I decided to use C# as my first host language.

One of the first issues that came up was trying to recognize what exactly is C# code. As you can see from examples in my last post, my first attempt was to pick a really ugly pattern that wouldn't occur in normal use. I picked two consecutive @ signs as in:

@@/*This is C#*/@@

It worked out well, but it had the downside that it was, well... incredibly ugly. I have since written a rudimentary C# recognizer written in OMeta# itself that is aware of strings and comments. The upside is that the syntax looks a little nicer:

{ /*This is C#*/ }

Using C# as the host language had several implications. The most challenging was working with C#'s static type system. This was both a blessing and a curse. On the one hand, I had to constantly think about where the data came from and where it was going. This forced me to actually understand the overall design better. On the other hand, I had to spend so much time thinking about it. Late-bound systems with dynamic typing such as Smalltalk and JavaScript remove the need for people to spend so much time doing this.

I'm optimistic that over time a lot of the stronger annoyances will go away. For example, the current syntax forces type identification as in:

-> { n.As<int>() * 10 + d.As<int>() }

Where, OMeta/JS can just say:

-> { n * 10 + d }

I'm not exactly sure how to do this yet. My initial guess is that I might be able to write some sort of type inference algorithm (preferably written in OMeta#) that could do a reasonable job. My current ideas are tied too closely with the specific host language and would require a bit of work to port them to other host languages like Visual Basic. Another approach is to implement one or more helper classes that could enable duck typing (e.g. if it looks like a certain type, walks like that type, and quacks like the type, it's probably that type).

Being able to have strong static typing internally while having a very clean syntax would be ideal (e.g. sort of like the C# 3.0 "var" keyword). Static typing is usually harder to achieve, but if you can do it well, you get many benefits. C# designer Anders Hejlsberg said it well in a recent interview:

"I don't see a lot of downsides to static typing other than the fact that it may not be practical to put in place, and it is harder to put in place and therefore takes longer for us to get there with static typing, but once you do have static typing. I mean, gosh, you know, like hey -- the compiler is going to report the errors before the space shuttle flies instead of whilst it's flying, that's a good thing!"

Another issue that came up was properly handling inheritance. It makes sense to use "virtual" methods for rules, but this also requires you to emit the "override" directive to avoid warnings. Another warning cropped up from my use of the "base" keyword in the many delegates that makes it convenient from a code emission perspective, but frustrating from a verifiable security perspective. Both of these warning are being left for a latter phase.

Compiler issues were only one factor. The other significant piece was aesthetics. A notable number of rules yield specific lists as their result. C# doesn't quite have a good, clean way of expressing an OMetaList (that is, a list of lists). In order to get around this, I created the "Sugar" helper class which makes it slightly easier to write these lists. It's still far from perfect. Instead of having a nice way for expressing lists like that OMeta/JS:

-> ['add', x, y]

You have to do this instead:

-> { Sugar.Cons("add", x, y) }

This annoyance can probably be fixed by tricking the C# recognizer to act as if C# had a nice implicit way of expressing an OMetaList and then re-writing the expression to use the Sugar class.

Beyond C#, there is the "meta" "host language" which is the .NET common language runtime itself. For code to play nice on it, it should abide by the .NET framework design guidelines which dictate naming conventions and general practices. This had a parasitic effect in that it led me to name my rules after the naming guidelines for methods (e.g. they must be PascalCased). Thus, in OMeta# there is the "Digit" rule instead of the "digit" rule. OMeta/JS opts to prefix metarule method names with an underscore to make them not collide with other rules. I also wanted to hide metarules so that people would have to try harder to do the wrong thing; the best I could come up with to convey this idea was to implement them using an explicit interface exposed via a property (e.g. instead of "_apply", I have "MetaRules.Apply").

Being a Contextual Packrat

The last intriguing thing about OMeta is exactly how it implements parsing. It uses a technique called a Parsing Expression Grammar (PEG) that Bryan Ford introduced in 2004. It's just a fancy way to say you support the following features: (The table comes from the OMeta paper. I've also included how OMeta# implements them to prove its legitimacy):

expressionmeaningOMeta# Function
e1 e2sequencingSeq
e1 e2prioritized choiceMetaRules.Or
e*zero or more repetitionsMetaRules.Many
e+one or more repetitions (not essential)MetaRules.Many1
<p>production applicationMetaRules.Apply
'x'matches the character xExactly

The most interesting aspect to me is the prioritized choice. This is in contrast to "Context-Free Grammars" (CFGs) which are the traditional way of defining parsers. To highlight the difference, consider parsing this line of C/C++ code:

if (condition1) if (condition2) Statement1(); else Statement2();

Is it the same as:

if (condition1)
if (condition2)

... or is it:

if (condition1)
if (condition2)

This is the classic "dangling else" problem. Context Free Grammars usually have this problem because they are free of any context when they are parsing (surprise!). In these situations, you often have to rely on something besides the grammar itself to resolve these ambiguities. Parsing Expression Grammars don't have this type of problem because you specify explicitly which one to try first. The prioritized choice therefore avoids ambiguity.

In order to make the performance relatively in line with the size of the input, a technique of "memoization" is used. This means the parser remembers what it has done previously; it does this as a space-time tradeoff. Keeping all those previous values have given them the reputation of being a "packrat" parser.

Let's say you have

  AddExpr  = AddExpr:x '+' MulExpr:y  -> { x.As<int>() + y.As<int>() }
AddExpr:x '-' MulExpr:y -> { x.As<int>() - y.As<int>() }
and you try the first choice (AddExpr:x '+' MulExpr:y), but you get to where you're expecting a "+" and it isn't there. You'll notice that the second choice (AddExpr:x '-' MulExpr:y) repeats the first part (namely AddExpr:x). Instead of re-evaluating it, you can just retrieve the stored value that you remembered, or rather memoized.

Well, it's almost that simple. Note that the definition of an add expression (AddExpr) is left-recursive. This means that the left side is defined in terms of itself. A naïve implementation of the parser would try to evaluate "AddExpr" by applying the first choice which started with a AddExpr which would then cause it to try to apply AddExpr again and eventually cause a stack overflow.

It's not a trivial problem to fix. In fact, the paper that introduced Parsing Expression Grammars said that left-recursion should be avoided since you can rewrite the rule to avoid left-recursion. This is unfortunate guidance because the rewritten rule sometimes loses the clarity that the left-recursive version of the rule had.

At the start of this year, a paper came out showing a very clever trick that makes left recursion possible.

Say that we're parsing the expression "1+2+3" using the "AddExpr." At the start of the expression we look at our memoization table to see if we have a precomputed value for "AddExpr". Since it is our first time, we won't find anything. The first part of the trick is to immediately store the result of "Fail" as the memoized result for AddExpr when starting at offset 0. We do this before we attempt to apply the rule.

When the parser uses recursion and finds itself again asking for the value of "AddExpr" at position 0, it will find a result of "fail" and thus fail that choice. It will then continue down to "MulExpr" where it will eventually match "1". The second part of the trick is to treat this value of "1" for "AddExpr" at position 0 as a "seed parse." The parser will then attempt to "grow the seed" by starting over at the beginning of the input stream, but this time it will remember its previous successful match. This will cause it to match "1+2" for AddExpr and then start over again by growing the seed to finally match "1+2+3."

In hindsight, it's a very simple idea. However, I say that only after some serious debugging time where I kept finding problems in my poor implementation. Alas, the entire algorithm is implemented in only a few lines of code in the "MetaRules.Apply" function in OMetaBase.cs.

So there you have it, you now know all of the interesting ideas in OMeta#.

Where is This Going?

OMeta# is a hobby project that's been a labor of love for me. You might have already guessed that if you noticed that most check-ins occur late at night or on the weekends. It's been slow, but it's coming together. Probably the most exciting highlight in the development came when I got enough of OMeta# working that I could rewrite parts of itself in OMeta#. This has the benefit of being cool from a meta self-reproducing level, but it's also a bonus because the code becomes much more readable and introspective. For example, compare the C# recognizer that I wrote by hand to the OMeta# grammar version that implements the same idea.

This approach of writing more of OMeta# in OMeta# will continue. It's my hope that as much as possible will be written in itself. A significant next step would be to rewrite the code generator as an OMeta# grammar. This isn't a new design idea. Each subsequent version of Smalltalk has been bootstrapped by its previous version.

I'll be the first to point out that there are a lot of rough edges to my current implementation. If you look around the source code, you'll see several comments labeled "// HACK" where I admit a hacked version of an idea. One of the most glaring problems is that debugging is annoyingly difficult. I haven't yet implemented an optimizer for the generated code which causes a lot of unnecessary metarule applications. The second annoyance is that just stepping into so many methods that fail often takes a long time. Over time, I hope to add better hints to get more traditional error messages that you get from good compilers so that you don't have to step through the generated code to debug a grammar.

As mentioned earlier, the language recognizer could use some work to make the syntax cleaner as well inferring types so that grammar writers don't have to explicitly declare them. I have confidence that the work that would go into a good C# host language implementation would directly port to other languages such as Visual Basic.

There's also a great need cross pollination with other projects such as the Dynamic Language Runtime (DLR) which has already tackled some of the issues that OMeta# will face. Additionally, languages such as F# have similar data structures already built-in that OMeta uses. Boo and Nemerle have interesting extensibility points which could provide some good ideas. The problem for me is that there is so many different places to look. It'd be great if you know these languages (or others) and could tell me via a comment or better yet, by sending code of how they could help OMeta#.

As of right now, I plan on keeping the core functionality in C# rather than rewriting everything in another language or by using the DLR. The main reason is that C# is wide-spread in availability, both on .NET as well as on Mono. A second reason is that I would like to keep the outside dependencies on OMeta# as small as possible.

OMeta is a beautiful in the same sense that mathematics can have a simple beauty. LISP has been referred to by some as "The Most Important Idea in Computer Science" largely because its core ideas could be expressed on a half page of the LISP 1.5 manual (page 13 to be exact). This elegance is similar to mathematics of Maxwell's Equations describing electromagnetism.

It's my hope that I won't mess up the implementation to the point where this elegant beauty is lost. Currently it's way too ugly. I see some of the rough edges, but I'm sure you can help me discover others along with how to fix them. If this post sounds too complicated, it's not you, it's me. Let me know if something doesn't make sense and I'll try to provide clarification.

If you're interested in OMeta#, I highly encourage you to download the latest version of the source code from CodePlex and step through the unit test runner to see things get built up.

If you can, keep notes of all the places where you see me doing something and let me know about them either through comments or via email. In addition, I also highly recommend experimenting Alessandro Warth's great OMeta/JS implementation via your web browser.

Happy OMeta-ing!

kick it on


Kyle Lahnakoski said...

"…debugging is annoyingly difficult… …stepping into so many methods that fail often takes a long time…”

I would like to hear more of your ideas on how to solve this. My own (inferior) grammar language project stalled when these debugging and optimization problems became unbearable. Now I am working on compiler optimizations (assuming you consider a day-a-month still working).


Jeff Moser said...

Kyle Lahnakoski:

One small approach if you're using .NET, is to annotate a method with the "[DebuggerStepThrough]" attribute and it will give a hint to the debugger to step through it.

This helps a little in my "MetaRules" property in OMetaBase.cs (since it can be called literally thousands of times), but it is still far from ideal.

Do you have a URL for your project?

JS said...

May I suggest that you take a look at F# as your implementing language? ML-family languages in their own right lend themselves to language parser and compiler tasks. Hosting OMeta in it seems like the shortest route to providing OMeta .Net support.

Domenic said...

Very neat :).

Two things:

1) I would imagine the syntax could be much improved by replacing things like

AddExpr = AddExpr:x '+' MulExpr:y -> { x.As<int>() + y.As<int>() }

with, say,

AddExpr = AddExpr:x<int> '+' MulExpr:y<int> -> { x + y }

Especially when you end up calling .As<int> on the same object multiple times...

2) Debugging. One solution I kind of hope for is a "automatic step through"... it would be equivalent to pressing F11 every 1 second (or whatever), but you can just press (say) spacebar and it'll pause. I'm surprised I haven't seen this already... do you know of any such solution, maybe as a VS addin?

Jeff Moser said...


As I mentioned in the previous two posts, F# is definitely a great language for the reason you mentioned (descendent of ML). However, I felt that it would unnecessarily burden people to get started with OMeta. If we use C#, then people could (in theory) add generated C# to their projects as if they wrote it by hand. It fits in with a gradual adoption of OMeta.

As for the runtime in C#, I'm trying to keep things as friction free as possible. If I would have required F#, that would have been an extra thing people would need to get started.

Besides, perhaps doing this first in a hard language like C# might pay off later with a better understanding of the platform :).

But regardless, yes -- F# is a fantastic language. I'm hoping to steal some good ideas from ML and friends.



1. Very interesting thought! It would shave off 5 characters per variable reference and be parasitic with C#. Perhaps I could make that the standard way of specifying a type to give hints to weak type inference algorithm.

My only concern is that it would be a change to the OMeta parser grammar itself rather than to the Semantic action/expression. I don't suppose you have additional thoughts on how to get duck typing to work in this environment so that the <int> annotations wouldn't be needed?

2. I haven't seen this in the wild. But that looks like a good potential for a VS addin. My hope is that someone can show me the ropes of writing VS debugger support for OMeta itself. That way, instead of stepping through generated code, you're only dealing with the OMeta grammar source file itself (it'd highlight in yellow each rule application as it happened if you pressed F11).

Domenic said...

Hmm, I see your point regarding where the grammar is being changed. I dunno, seems worthwhile to me though; you're kind of extending OMeta to be more type-safe, which seems quite worthy of something called Omega# (emphasis on the sharp).

Regarding duck typing, I have absolutely no idea what I'm talking about, and feel especially bad saying anything given that people have presumably written papers about this. But with that said, my thought would be that maybe you don't need to actually identify x and y as ints, but rather as any type which has either an Add method or an overloaded + operator defined? So you'd just write

AddExpr = AddExpr:x '+' MulExpr:y -> { x + y }

And this would be shorthand for (making up syntax here)

AddExpr = AddExpr:x<T> '+' MulExpr:y<U> -> { x + y } where T : static Add(T, U)

I have no idea how the implementation details on this would work, but presumably all this can be done with compile-time checking: first figure out what operations are needed, then make sure that the appropriate types have them, given specific instances of T and U. This is kinda shaky though, since I'm not entirely clear on what's happening at compile time versus runtime. (Or rather, I've forgotten the details since I read this blog post the other day :P).

Jeff Moser said...


Maybe the right approach is to at least offer a version that will modify the semantic action { x + y } to use reflection to look for the add operator that is the most in line with what you want to do. You'd pay the cost of reflection, but you wouldn't have to annotate the type.

Another idea I had is that if you would annotate your grammar for what the input and default output types are, you wouldn't have to specify them elsewhere unless you wanted to "override" the defaults.

For example, "ometa Calculator<char, int> <: Parser { ... Number = Number:n Digit:d -> { n * 10 + d } ... }"

In this case, I'd rewrite the semantic action to cast things appropriately as I do now (e.g. .As<int>()). Then, I push the static analysis work to the C# compiler. It's sort of an extension of your first idea, but makes the common case cleaner by providing a default.

Ideally though, the Duck Typing will probably win out long term since it's less work (make the program work harder instead of the programmer). However, it'd be nice to have an explicitly typed one as well for performance reasons.

If anyone knows obvious DLR or other tricks that I'm missing, please speak up :)

Kyle Lahnakoski said...


Please forgive the deplorable state of my web pages. I have not had the desire to clean up the look (or the ideas) in many years.

I have a write-up of what I was building:

If you really want code: The YAY runs in the DBOS, which can be found at:

Kyle Lahnakoski said...

Oh! I have not had the time to understand how OMeta (or others) could compile something like:

public class Example{

public String toString(){
return "("+x+", "+y+")";

int x;
int y;


...into a working piece of code YET give reasonable compiler errors on

public class Example{

public String toString(){
return "("+foo+", "+bar+")";

int x;
int y;

This has more to do with the semantic analysis of handing a graph of objects with a given namespace, rather than simple parse trees.

Have you seen elegant OO-like solutions to this problem? Or am I still stuck in the world of low-level semantic analysis?

Jeff Moser said...

kyle lahnakoski:

After a first pass, it seems like you could write YAY in OMeta. You could take advantage of OMeta's BNF-like syntax (e.g. 'WordChar = "_" | Digit | Letter')

OMeta# grammars are sort of like your "Parsers" concept but with a focus on OO and streams of anything.

An interesting thing about OMeta is that you can hand off your input stream to a foreign grammar. It's a way of getting object-oriented features without having to derive or do multiple inheritance.

As to your second question, in my current OMeta# code generator, all the variables are method-local. My parser keeps track of all of my variables used within the production/rule. If you look at the generated code, you'll notice that all of the local variables are emitted at the start of the method. This happens because I have a HashSet of all the variables while parsing the rule body.

In theory, I could check the host expression for variables to make sure that they were declared.

To really do it well for OMeta#, I'd need a much better host language understanding than I currently have so that I could do a richer semantic analysis. For example, the improved host language parser would be able to parse to trees like "[Method, op_add, [RegularString, "["], [VariableAccess, foo]]". With that richness of a tree like that, I could make sure that all the variable accesses had a corresponding variable definition using OMeta#'s host language predicates.

For right now, I'm going to keep it simple and punt the hard work to the host language compiler. Perhaps I'll emit in a comment the original OMeta# input so that when they see the compiler error in the host language they'll have better context.

Did that help answer your questions? Feel free to follow up.

Kyle Lahnakoski said...

Yes, thank you. I will be keeping track of your progress. Godd luck.

GreGor said...

what is the operator <: you're using for the calc + parser connection in the class declaration? Is it some sort of one way inheritance?

Jeff Moser said...

GreGor: The "<:" operator there means that the "Calculator" grammar "inherits" from the "Parser" grammar. Essentially, this means that the "Calculator" grammar has access to all of "Parser"'s rules and can extend them or call back to the base grammar using the "Super" call.

GreGor said...

I'm still a bit confused about the <: operator. It is an operator I'm not aware of.

Where is a <: operator defined?

I've used the google - can't find anything.

Jeff Moser said...

GreGor: After this post was written, I changed "<:" to just be ":" to make it more like C#. OMeta#'s parser is written in OMeta itself. The rule that handles parsing this top level is in OMetaParser.ometacs. Specifically, look at the "Grammar" rule there.

Note the:

( ":" Name | Empty -> { "OMeta" } ):sn BaseTypeDef:btd

This means that it's expecting a ":" followed by whatever matches the "Name" rule. If it doesn't find this, it matches the "Empty" rule and that will return "OMeta" meaning that implied base grammar is "OMeta" unless you override it.

GreGor said...

Thanks. I understand perfectly now. I thought this was a parser being written in C#.