50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
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from go_benchmark_functions import *
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from inspect import getmro, isclass
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_looky_here = False
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problems = []
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for k in list(locals().keys()):
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smth = locals()[k]
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if isclass(smth) and Benchmark in getmro(smth)[1:]:
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problems.append(smth)
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counts = {}
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vcount = 0
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problems_by_dimensions = {}
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for cls in problems:
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name = cls.__name__
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obj = cls()
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n = obj.N
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if _looky_here:
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print(n, name, "(variable)" if obj.change_dimensionality else "(fixed)")
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counts[n] = counts.get(n, 0) + 1
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if obj.change_dimensionality:
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vcount += 1
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dimkey = f"{n}+"
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else:
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dimkey = f"{n}"
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problems_by_dimensions.setdefault(dimkey, []).append(cls)
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del obj
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counts["variable"] = vcount
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if _looky_here:
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print(sorted(counts.items(), key=lambda x: f"{x[0]:09}" if isinstance(x[0], int) else str(x[0])))
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p_by_d = problems_by_dimensions
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if _looky_here:
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for dims in range(2, 6 + 1):
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dimp = f"{dims}+"
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print(dims, len(p_by_d.get(str(dims), [])), sep="\t")
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print(dimp, len(p_by_d.get(dimp, [])), sep="\t")
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at_least_2d = p_by_d.get("2+", [])
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at_least_3d = p_by_d.get("3+", []) + at_least_2d
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at_least_4d = p_by_d.get("4+", []) + at_least_3d
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problems_2d = p_by_d.get("2", []) + at_least_2d
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problems_3d = p_by_d.get("3", []) + at_least_3d
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problems_4d = p_by_d.get("4", []) + at_least_4d
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