e5b8e81d2d33823142cc88eed6a5368c8e283a98,scipy/spatial/distance.py,,cdist,#Any#Any#Any#,1899

Before Change

    dm = np.zeros((mA, mB), dtype=np.double)

    // compute blacklist for deprecated kwargs
    if(metric in _METRICS["minkowski"].aka or
       metric == "test_minkowski" or metric == minkowski):
        kwargs_blacklist = ["w", "V", "VI"]
    elif(metric in _METRICS["wminkowski"].aka or
         metric == "test_wminkowski" or metric == wminkowski):
        kwargs_blacklist = ["V", "VI"]
    elif(metric in _METRICS["seuclidean"].aka or
         metric == "test_seuclidean" or metric == seuclidean):
        kwargs_blacklist = ["p", "w", "VI"]
    elif(metric in _METRICS["mahalanobis"].aka or
         metric == "test_mahalanobis" or metric == mahalanobis):
        kwargs_blacklist = ["p", "w", "V"]
    else:
        kwargs_blacklist = ["p", "w", "V", "VI"]
    _filter_deprecated_kwargs(kwargs, kwargs_blacklist)

    if callable(metric):

After Change

        mstr = metric.lower()

        // NOTE: C-version still does not support weights
        if "w" in kwargs and not mstr.startswith("test_"):
            if mstr in ["seuclidean", "se", "s", "mahalanobis"]:
                raise ValueError("metric %s incompatible with weights" % mstr)
            // need to use python version for weighting
            mstr = "test_%s" % mstr

        metric_name = _METRIC_ALIAS.get(mstr, None)
        if metric_name is not None:
            XA, XB, typ, kwargs = _validate_cdist_input(XA, XB, mA, mB, n,
                                                        metric_name, **kwargs)

Instances