3.1.13. RC

This page contains the core functionality for composing rules and creating rules from graphs. Note that there is both a low-level interface for constructing expressions, and an embedded mini-language for defining the expressions using normal Python operators. The Embedded Rule Composition Expression Language

The embedded language is really a collection of proxy classes with a lot of operator overloading, thus the normal syntax and semantics of Python applies.

A rule composition expression always returns a list of rules when evaluated. The following is the grammar for the expressions.

rcExp    ::=  rcExp op rcExp
              "rcBind(" graphs ")"
              "rcUnbind(" graphs ")"
              "rcId(" graphs ")"
op       ::=  "*" opObject "*"
opObject ::=  "rcParallel"

Here a graphs is any Python expression that is either a single Graph or an iterable of graphs. Similarly, a rules must be either a Rule or an iterable of rules. An rcExp may additionally be an iterable of expressions. See the API below for more details on the semantics of each expression, and the corresponding C++ page. Expression Evaluator

class mod.RCEvaluator

This class can evaluate rule composition expressions. During evaluation an expression graph is recorded.

The expression graph is a directed hypergraph \((V, E)\), with each vertex representing a rule. Each edge represent all compositions calculated for a unique input. That is every edge \(e\in E\) is on the form \(((u, v), R_e)\) with \((u, v)\in V\times V\) as an ordered pair of rules and \(R_e\subseteq V\) is the set of all resulting rules found.

The graph is visualised as a bipartite graph with point-shaped vertices representing the hyperedges. The in-edges to these hyperedge vertices are labelled with 1 and 2.


(Read-only) The list of unique rules known by the evaluator.

Type:list of Rule

(Read-only) The list of unique rules this evaluator has constructed.

Type:list of Rule

Evaluates a rule composition expression. Any created rule is replaced by a rule in the database if they are isomorphic.

Returns:the resulting list of rules of the expression.
Parameters:exp (RCExpExp) – the expression to evaluate.

Print the graph representing all expressions evaluated so far.

Parameters:database (list of Rule) – a list of isomorphic rules the evaluator will compare against.
Returns:a rule composition expression evaluator.
Return type:RCEvaluator


The caller is responsible for ensuring the given rules are unique. Rule Composition Expressions

An expression, RCExpExp, can be evaluated through the method RCEvaluator.eval(). The result of an expression is a list of rules. Class RCExpUnion

class mod.RCExpUnion

Return the union of the subexpressions. I.e., flatten the subresult lists into a single list. Class RCExpBind

class mod.RCExpBind

Return the singleton list with the rule \((\emptyset, \emptyset, G)\) for the given graph \(G\). Class RCExpId

class mod.RCExpId

Return the singleton list with the rule \((G, G, G)\) for the given graph \(G\). Class RCExpUnbind

class mod.RCExpUnbind

Return the singleton list with the rule \((G, \emptyset, \emptyset)\) for the given graph \(G\). Class RCExpExp

class mod.RCExpExp

A generic rule composition expression. Class RCExpComposeCommon

class mod.RCExpComposeCommon

The base class for the composition of two rule \((L_1, K_1, R_1)\) and \((L_2, K_2, R_2)\). Class RCExpComposeParallel

class mod.RCExpComposeParallel

Compose the rules by all common subgraphs of \(R_1\) and \(L_2\), possibly limited to connected subgraphs or to the subgraphs of maximum size. Class RCExpComposeSub

class mod.RCExpComposeSub

Compose the rules by the empty graph, i.e., create a rule representing the parallel application of two input rules. Class RCExpComposeSuper

class mod.RCExpComposeSuper

Compose the rules such that overlapping connected components of \(R_1\) and \(L_2\) have the \(L_2\) component as a subgraph of \(R_1\). The overlap is partial if not every connected component of \(L_2\) is participating in the common subgraph.