### Syntax algebra – first steps

Posted in Algorithms, Grammars on January 30th, 2010 by kay – Be the first to comment### Principle of relativity

I started to revisit syntactic mappings defined in EasyExtend 3 which are closely tied to the Python grammar being in use. Those are functions like varargs2arglist, normalize, split_file_input or exprlist2testlist defined in the csttools.py module. One of the major challenges of future releases of EasyExtend ( or a definite successor project – i don’t know ) is to abstract from Python as a target language. In EE3 only Python can be targeted by a langlet transformation whereas in EE 4 langlets are symmetric: each langlet can be a target langlet for any other langlet. All langlets exist on the same footing and also: each langlet can be used as a parent langlet of a newly defined langlet which means a proper inheritance relationship and maximum reuse.

The relativity among langlets calls for raising the bar of abstraction. All Python specific dependencies, and there are a lot in EE3, have to be removed from the basic CST libraries. Indeed not even nodes of special importance like expr, stmt or atom shall be allowed in places other than modules which are specific to a particular langlet. The generalization of the mentioned functions leads to a study of abstract syntactic forms and some sort of “syntax algebra”. It isn’t studied rigorously in this article but shall be at least motivated. As a prerequisite I recommend to read my article about CST interpolation which discusses concepts of major relevance.

### Embeddings

The exprlist2testlist function turns a node of type exprlist defined as

exprlist: expr (',' expr)* [','] |

into a node of type testlistdefined as

testlist: test (',' test)* [','] |

This works without adding information because {test, expr} is a valid *interpolation* i.e. there is a nested sequence

[which is a representation of a valid CST. In terms of CST interpolations test(expr) yields a node of type test and induces a homomorphism exprlist->testlist. More generally an interpolation {A, B} induces an embedding B (x B)* -> {A,B} (y {A,B})* = A (y A)* if x and y aretest, [or_test, [and_test, [not_test, [comparison ,expr]]]]]

*constant*terminal symbols i.e. terminal symbols where the corresponding token have a uniquely determined token string.

### Blocks or no blocks

Another relevant example is the normalize function. The idea behind normalize is that statements like if x: y or def foo(): pass are semantically equivalent to block statements:

```
if x:
y
``` |

def foo(): pass |

Those block statements can be used in a more general fashion because we can add other block statements in the thunked block. In Python blocks are expressed by the suite grammar rule:

suite: simple_stmt | NEWLINE INDENT stmt+ DEDENT |

Since {stmt, simple_stmt} is a valid interpolation, we can substitute all occurences of

`suite: simple_stmt` |

with suites of the form

`suite: NEWLINE INDENT stmt+ DEDENT` |

The general syntactic embedding is of the kind

B -> a b… {A,B} c d… with a, b, c, d … being constant terminal symbols.

Notice that INDENT is assumed to be a constant terminal despite the fact that the token string may vary. INDENT is treated special because in practical applications the number of used spaces for an indentation is fixed. EasyExtend always uses 4 spaces.

### Splitting nodes

The function split_file_input is the prototype of a node splitting function which can be thought in analogy to string splits. In this particular case we have a node file_input of the form

file_input: (NEWLINE | stmt)* ENDMARKER |

and want to generate a sequence of nodes file_input: stmt ENDMARKER, file_input: NEWLINE ENDMARKER and file_input: ENDMARKER – one for each NEWLINE, stmt and ENDMARKER in the original file_input node. It doesn’t matter that file_input: NEWLINE ENDMARKER and file_input: ENDMARKER are likely be thrown away by an application because this can be decided by the nodes consuming function. The general split function is defined by

R: x (A|B…)* y -> [(R: x A y), (R: x B y), …, (R: x y)]

### Node rewritings

The mappings considered above were all rather straightforward. Now we want to discuss a rule transformation which is less obvious, namely that of a function signature into an argument tuple of a function call. In Python 2.6 the function signature is defined as

varargslist: ((fpdef ['=' test] ',')* ('*' NAME [',' '**' NAME] | '**' NAME) | fpdef ['=' test] (',' fpdef ['=' test])* [',']) fpdef: NAME | '(' fplist ')' fplist: fpdef (',' fpdef)* [','] |

and an argument list of a function call by

arglist: (argument ',')* (argument [',']| '*' test [',' '**' test] | '**' test) argument: test [gen_for] | test '=' test |

Can we transform each varargslist into an arglist?

Let’s start our treatment of varargslist with fpdef. If we insert the RHS of fplist in fpdef we get

fpdef: NAME | '(' fpdef (',' fpdef)* [','] ')' |

We show that this rule is a special form of the node atom and since {test, atom} is a valid interpolation it is also a test node. The atom node is defined by

atom: NAME | '(' [yield_expr|testlist_gexp] ')' | '[' [listmaker] ']' | ... |

which can be specialized to

atom: NAME | '(' testlist_gexp ')' |

Next we consider the testlist_gexp definition

testlist_gexp: test ( gen_for | (',' test)* [','] ) |

which can be specialized to

testlist_gexp: test (',' test)* [','] |

We insert testlist_gexp in atom which yields

atom: NAME | '(' test (',' test)* [','] ')' |

If we reduce test to atom we get a rule

atom: NAME | '(' atom (',' atom)* [','] ')' |

which is isomorphic to fpdef. So we just need to substitute all occurrences of fpdef in fpdef with atom, then replace atom with test(atom) and finally replace the whole of atom again with test(atom). This procedure substitutes fpdef with test.

When we substitute each occurrence of NAME with testin varargslist we get:

(test ['=' test] ',')* ('*' test [',' '**' test] | '**' test) | test ['=' test] (',' test ['=' test])* [','] |

which can be reduced to

(argument ',')* ('*' test [',' '**' test] | '**' test) | argument (',' argument)* [','] |

which is the same as

(argument ',')* (argument [','] | '*' test [',' '**' test] | '**' test) |

Voilà!

### Syntax algebra

We have done some informal steps into syntax algebra with some real functions defined in EE 3 as a starting point. For the first three functions we have found general syntactical transformations which might be universally applicable. The last transformation is very specific though and it might be more interesting to determine an algorithm used to *find* a rule transformation of a particular kind. Although the search algorithm might be NP complete I assume that the found transformation – if one exists – has linear time complexity which is what we want. Such an algorithm would be another great achievement of EasyExtend which does not cease to surprise me.