removed debug message
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@@ -103,12 +103,6 @@ def compute_mhi(similarity_factor, signal1, signal2):
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psd_highest_max = max(signal1.psd.max(), signal2.psd.max())
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psd_highest_max = max(signal1.psd.max(), signal2.psd.max())
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# Iterate over the combined list of unpaired peaks
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for peak, signal in combined_unpaired_peaks:
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print(
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f'Unpaired peak in belt {"1" if signal is signal1 else "2"} at {signal.freqs[peak]:.1f} Hz ({signal.psd[peak]:.1f})'
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)
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# Start with the similarity factor directly scaled to a percentage
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# Start with the similarity factor directly scaled to a percentage
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mhi = similarity_factor
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mhi = similarity_factor
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@@ -121,7 +115,6 @@ def compute_mhi(similarity_factor, signal1, signal2):
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if num_unpaired_peaks > DC_MAX_UNPAIRED_PEAKS_ALLOWED:
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if num_unpaired_peaks > DC_MAX_UNPAIRED_PEAKS_ALLOWED:
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for peak, signal in combined_unpaired_peaks:
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for peak, signal in combined_unpaired_peaks:
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unpaired_peak_penalty += (signal.psd[peak] / psd_highest_max) * 30
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unpaired_peak_penalty += (signal.psd[peak] / psd_highest_max) * 30
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print(f'penality for peak {peak}: {(signal.psd[peak] / psd_highest_max) * 30}')
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mhi -= unpaired_peak_penalty
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mhi -= unpaired_peak_penalty
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# Ensure the result lies between 0 and 100 by clipping the computed value
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# Ensure the result lies between 0 and 100 by clipping the computed value
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