b197fb0946afe59b45a8c7a20a567ebfe253108f,neurodsp/utils/utils.py,,normalize_variance,#,27

Before Change

        Variance normalized data.
    

    return array / array.std() * np.sqrt(variance)


def remove_nans(sig):
    Drop any NaNs on the edges of a 1d array.

After Change

    else:

        if select_nonzero:
            nonzero = np.nonzero(array)
            array_std = np.std(array[nonzero])
            out = array.copy()
            out[nonzero] = array[nonzero] / array_std * np.sqrt(variance)
        else:
            out = array / array.std() * np.sqrt(variance)

    return out


def remove_nans(sig):

Instances