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This commit adds a new function transitive_closure_dag() which is an optimized method for computing the transitive closure for DAGs. In support of this a new function descendants_at_distance() for finding the nodes a fixed distance from a given source to both rustworkx and rustworkx-core. Related to: Qiskit#704
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This commit adds a new function transitive_closure_dag() which is an optimized method for computing the transitive closure for DAGs. In support of this a new function descendants_at_distance() for finding the nodes a fixed distance from a given source to both rustworkx and rustworkx-core.
Related to: #704
TODO:
- Add tests for descendants_at_distance (both from python and rust)
Well, computing the transitive closure for a DAG is 80% of the problem for the general case because the full algorithm is:
- Condense the graph into strongly connect components (which we already implement)
- Apply the DAG algorithm and get the transitive closure for the intermediate graph
- Map the answer from the intermediate graph to the original graph
This commit adds a new function to rustworkx-core for building a transitive closure inplace out of an input DAG. The function takes ownership of the input graph and will mutate it to add edtges to make it a transitive closure before returning it. This is then used internally by the retworkx python function transitive_clsoure_dag().
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This commit adds a new function transitive_closure_dag() which is an optimized method for computing the transitive closure for DAGs. In support of this a new function descendants_at_distance() for finding the nodes a fixed distance from a given source to both rustworkx and rustworkx-core.
Related to: #704
TODO: