So, let's do some rewriting using the pattern matching filter=true mode. Again, the VecMath.g parser will build trees but we'll avoid building an entire tree grammar. We'll focus on some patterns we want to rewrite.
Here's the grammar to build trees.
grammar VecMath; options {output=AST;} // we want to create ASTs tokens { MULT='*'; SHIFT; // needed during simplification VEC; // define imaginary VEC for vector literal } prog: stat+ ; // build list of stat trees stat: ID '=' expr -> ^('=' ID expr) // '=' is operator subtree root | 'print' expr -> ^('print' expr) // 'print' is subtree root ; expr: multExpr ('+'^ multExpr)* ; // '+' is root node multExpr : primary (('*'^|'.'^) primary)* // '*', '.' are roots ; primary : INT | ID | '[' expr (',' expr)* ']' -> ^(VEC expr+) | '(' expr ')' -> expr ; ID : 'a'..'z'+ ; INT : '0'..'9'+ ; WS : (' '|'\r'|'\n')+ {skip();} ;
And now, let's distribute scalar-vector multiplies. 4*1,2
-> 4*1,4*2
.
tree grammar Simplify; options { tokenVocab=VecMath; // use tokens from VecMath.g ASTLabelType=CommonTree; // we're using CommonTree nodes output=AST; // build ASTs from input AST filter=true; // tree pattern matching, rewrited mode } topdown : ^('*' INT ^(VEC (e+=.)+)) -> ^(VEC ^('*' INT $e)+) ; bottomup : ^('*' a=. b=INT {$b.int==0}?) -> $b // x*0 -> 0 ;
Give it a shot:
VecMathLexer lex = new VecMathLexer(input); CommonTokenStream tokens = new CommonTokenStream(lex); VecMathParser g = new VecMathParser(tokens); RuleReturnScope r = g.prog(); // launch parser by calling start rule CommonTree t = (CommonTree)r.getTree(); // get tree result System.out.println("Original tree: "+t.toStringTree()); CommonTreeNodeStream nodes = new CommonTreeNodeStream(t); Simplify s = new Simplify(nodes); t = (CommonTree)s.downup(t); System.out.println("Simplified tree: "+t.toStringTree());