70 lines
2.3 KiB
Python
70 lines
2.3 KiB
Python
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#!/usr/bin/env python3
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from types import ModuleType
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import solutions_1680721604
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import solutions_1680730206
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import solutions_1680730206
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import solutions_1680975848
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solutions = {}
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loaded = []
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for local_k in tuple(locals().keys()):
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local_v = locals()[local_k]
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if local_k.startswith("solutions_") and isinstance(local_v, ModuleType):
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loaded.append(local_k)
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for k, v in local_v.solutions.items():
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solutions.setdefault(k, {})
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solutions[k] |= v
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dims_seen = set()
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totally_fine = {}
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too_variable = {}
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too_centered = {}
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too_far_away = {}
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too_positive = {}
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for k, v in solutions.items():
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fopt = sorted(v)[0]
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xopt = v[fopt]
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dims = len(xopt)
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dims_seen.add(dims)
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alpha = [0, 256, 200, 100, 64][dims]
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name = k.removeprefix("go_").removesuffix(str(dims)).removesuffix("_on_cube__")
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is_too_centered = all(round(x * alpha) == alpha // 2 for x in xopt)
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is_too_positive = sum(abs(x - sum(xopt) / dims) for x in xopt) / dims <= 1e-3
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is_too_far_away = any(abs(0.5 - x) > 0.49 for x in xopt)
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is_inconsistent = name in ("stochastic", "xinsheyang01")
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if name == "csendes":
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pass # skip; this is basically equivalent to "infinite"
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elif is_inconsistent:
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too_variable.setdefault(dims, []).append(name)
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elif is_too_centered:
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too_centered.setdefault(dims, []).append(name)
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elif is_too_far_away:
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too_far_away.setdefault(dims, []).append(name)
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elif is_too_positive:
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too_positive.setdefault(dims, []).append(name)
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else:
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totally_fine.setdefault(dims, []).append(name)
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def dump_list(name, rows):
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print()
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print(f"{name} = [")
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for row in rows:
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print(f" {repr(row)},")
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print("]")
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print("# this file was automatically generated by generate_lists.py,")
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print("# any changes may be overwritten!")
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for name in loaded:
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print(f"# loaded {name}.py")
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for dims in sorted(dims_seen):
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dump_list(f"too_variable_{dims}", too_variable.get(dims, []))
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dump_list(f"too_centered_{dims}", too_centered.get(dims, []))
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dump_list(f"too_far_away_{dims}", too_far_away.get(dims, []))
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dump_list(f"too_positive_{dims}", too_positive.get(dims, []))
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dump_list(f"totally_fine_{dims}", totally_fine.get(dims, []))
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# print(len(totally_fine))
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# print(len(totally_fine) + len(too_centered) + len(too_positive))
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