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pyCGM.py functions take in array-likes, and parameters are converted to numpy ndarrays e.g. param = np.asarray(param)
Is this wasted computation? The conversion incurs a performance hit, but at this time it's currently unknown how severe.
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pyCGM.py functions take in array-likes, and parameters are converted to numpy ndarrays e.g.
param = np.asarray(param)
Is this wasted computation? The conversion incurs a performance hit, but at this time it's currently unknown how severe.
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