dc84905eb06dec74c20413f398fc8cc380ae128a,librosa/util/utils.py,,medfilt,#Any#Any#,899

Before Change

        pad_k = int(k / 2)
        pad_shape.append((pad_k, pad_k))
        if pad_k > 0:
            pad_slice.append(slice(pad_k, -pad_k))
        else:
            pad_slice.append(Ellipsis)

After Change

        pad_k = int(kernel_size[k] / 2)
        pad_shape.append((pad_k, pad_k))
        if pad_k > 0:
            pad_slice[k] = slice(pad_k, -pad_k)
            has_padding = True

    // Apply the filter on the padded data
    if has_padding:
        data_p = np.pad(data, pad_shape, **kwargs)

Instances