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

Before Change

    lower_bound[0] = min_slope * numpy.arange(sz2)
    lower_bound[1] = ((sz1 - 1) - max_slope * (sz2 - 1)
                      + max_slope * numpy.arange(sz2))
    lower_bound = numpy.round(lower_bound, 2)
    lower_bound = numpy.ceil(numpy.max(lower_bound, axis=0))

    upper_bound = numpy.empty((2, sz2))
    upper_bound[0] = max_slope * numpy.arange(sz2)

After Change

                      + max_slope * numpy.arange(sz2))
    lower_bound_ = numpy.empty(sz2)
    for i in prange(sz2):
        lower_bound_[i] = max(round(lower_bound[0, i], 2),
                              round(lower_bound[1, i], 2))
    lower_bound_ = numpy.ceil(lower_bound_)

    upper_bound = numpy.empty((2, sz2))
    upper_bound[0] = max_slope * numpy.arange(sz2)

Instances