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已同步 2025-08-07 04:56:51 +08:00
Module to hold fitness metrics for Taguchi optimisation.
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# Copyright (C) 2015, Craig Warren
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#
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# This module is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.
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# To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/.
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#
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# Please use the attribution at http://dx.doi.org/10.1190/1.3548506
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import numpy as np
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import h5py
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from gprMax.constants import floattype
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def fitness_max(filename, outputnames):
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"""Return the maximum value from specific outputs in a file.
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Args:
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filename (str): Name of output file
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outputnames (list): Names (IDs) of outputs (rxs) from input file
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Returns:
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maxvalue (float): Maximum value from specific outputs
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"""
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f = h5py.File(filename, 'r')
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nrx = f.attrs['nrx']
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for rx in range(1, nrx + 1):
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tmp = f['/rxs/rx' + str(rx) + '/']
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if tmp.attrs['Name'] in outputnames:
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fieldname = list(tmp.keys())[0]
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maxvalue = np.amax(tmp[fieldname])
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return maxvalue
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