reformat
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1 changed files with 6 additions and 7 deletions
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@ -55,9 +55,7 @@ def make_objective(problem, n_dim, *, fix_stuff=0):
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# and which is `b` between the equations and the code.
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# hmm it seems like the code is right, judging by this:
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# https://www.itl.nist.gov/div898/strd/nls/data/LINKS/DATA/MGH09.dat
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helper = lambda x: np.where(x < 0, -1, 1) * (
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np.abs(x) + tiny_offset
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)
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helper = lambda x: np.where(x < 0, -1, 1) * (np.abs(x) + tiny_offset)
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# 1.0 - 1e-16 == 0.9999999999999999
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# 1.0 + 1e-16 == 1.0
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# 1.0 + 2e-16 == 1.0000000000000002
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@ -303,7 +301,7 @@ if __name__ == "__main__":
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run_anyway = 3
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always_run_anyway = False
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#percents = dict(frugal_percent=0.1, greedy_percent=1.5)
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# percents = dict(frugal_percent=0.1, greedy_percent=1.5)
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percents = dict(frugal_percent=1.0, greedy_percent=2.0)
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book = book_of_optimizers
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@ -400,8 +398,7 @@ if __name__ == "__main__":
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prices.setdefault(opt_name, 0.0)
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sorted_res = sorted(all_res)
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score_insignificance = sum(
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len(all_res[fopt])
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for _, fopt in zip(range(len(place_scores)), sorted_res)
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len(all_res[fopt]) for _, fopt in zip(range(len(place_scores)), sorted_res)
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)
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price_insignificance = sum(
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len(all_res[fopt])
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@ -466,7 +463,9 @@ if __name__ == "__main__":
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# if opt_score < 1: continue
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stats = f"{opt_score:18.16f}"
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name = opt_name.removesuffix("_cube")
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color = "\033[1m" if opt_score > 1.0 else "\033[33m" if opt_score < 1.0 else ""
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color = (
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"\033[1m" if opt_score > 1.0 else "\033[33m" if opt_score < 1.0 else ""
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)
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s = f"{mark(opt_name)} {name:<32}{reset} with {color}{stats}{reset}"
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# s += f" {color}{float(delta):+.0f}{reset}"
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print(s)
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