0537b722ea3bd3740ebb53226214cd67d92f2913,tslearn/metrics.py,,itakura_mask,#Any#Any#Any#,391

Before Change

    upper_bound[0] = max_slope * numpy.arange(sz2)
    upper_bound[1] = ((sz1 - 1) - min_slope * (sz2 - 1)
                      + min_slope * numpy.arange(sz2))
    upper_bound = numpy.round(upper_bound, 2)
    upper_bound = numpy.floor(numpy.min(upper_bound, axis=0) + 1)

    region = numpy.asarray([lower_bound, upper_bound]).astype("int64")

    mask = numpy.full((sz1, sz2), numpy.inf)
    for i, (j, k) in enumerate(region.T):
        mask[j:k, i] = 0.

    return mask

After Change

                      + min_slope * numpy.arange(sz2))
    upper_bound_ = numpy.empty(sz2)
    for i in prange(sz2):
        upper_bound_[i] = min(round(upper_bound[0, i], 2),
                              round(upper_bound[1, i], 2))
    upper_bound_ = numpy.floor(upper_bound_ + 1)

    mask = numpy.full((sz1, sz2), numpy.inf)
    for i in prange(sz2):

Instances