Lines Matching refs:pruning

37         pruning =Pruning.run(radius, overhead, r, 200, flags=Pruning.ZEALOUS, metric="solutions")
40         print(pruning)
41         print("cost %.4e" % sum(pruning.detailed_cost))
42 …solutions = Enumeration(M, nr_solutions=10000).enumerate(0, n, radius, 0, pruning=pruning.coeffici…
44         assert len(solutions)/pruning.expectation < 2
45         assert len(solutions)/pruning.expectation > .2
51         pruning = Pruning.run(radius, overhead, r, 200, flags=Pruning.GRADIENT, metric="solutions")
53         print(pruning)
54         print("cost %.4e" % sum(pruning.detailed_cost))
55 …solutions = Enumeration(M, nr_solutions=10000).enumerate(0, n, radius, 0, pruning=pruning.coeffici…
57         assert len(solutions)/pruning.expectation < 2
58         assert len(solutions)/pruning.expectation > .2
64         pruning = Pruning.run(radius, overhead, r, 200, flags=Pruning.ZEALOUS, metric="solutions")
66         print(pruning)
67         print("cost %.4e" % sum(pruning.detailed_cost))
68 …solutions = Enumeration(M, nr_solutions=10000).enumerate(0, n, radius, 0, pruning=pruning.coeffici…
70         assert len(solutions)/pruning.expectation < 2
71         assert len(solutions)/pruning.expectation > .2