Read-only copy. This public copy of trans-bench is read-only: it shows the published campaigns. Clone the repository to run benchmarks or to edit systems. github.com/Sirneij/trans-bench, branch verified-rerun-2026
Topology · y

Y Graph

All n nodes converge to a central hub, then fan out along a k-length path.

Evaluation
Linear · T ∘ E–iterations (left / right recursion)
Doubling · T ∘ T–iterations (double recursion)
1 / 1
iteration 1new pairs per iteration
Nodes · edges15 · 14
Closure |TC|95
Closure / edges6.8×
5

A small instance from the generator the benchmark runs with n from 100 upwards.

Definition

Symbol
Y_{n,k}
Edges
\{(i, n+1) \mid i \in 1..n\} \cup \{(i, i+1) \mid i \in n+1..n+k-1\}

Generator

engine.data_generator.DataGenerator.generate_y_graph
generate_db.py
    def generate_y_graph(self, n: int) -> Generator[tuple[int, int], None, None]:
        """Generate a Y graph with n nodes."""
        logging.info(f'Generating Y graph for n={n}')
        for i in range(1, n + 1):
            yield (i, n + 1)
        for i in range(n + 2, n + self.k + 1):
            yield (i - 1, i)