cb6efdff16129db90f2677ceb7e5ecebf0260efc,statsmodels/nonparametric/kernels_asymmetric.py,,kernel_cdf_beta2,#Any#Any#Any#,197

Before Change

        // without vectorizing:
        if x < 2 * bw:
            a = a1 - np.sqrt(a2 - x**2 - x / bw)
            pdf = stats.beta.sf(sample, a, (1 - x) / bw).mean(-1)
        elif x > (1 - 2 * bw):
            x_ = 1 - x
            a = a1 - np.sqrt(a2 - x_**2 - x_ / bw)
            pdf = stats.beta.sf(sample, x / bw, a).mean(-1)

After Change

        // without vectorizing:
        if x < 2 * bw:
            a = a1 - np.sqrt(a2 - x**2 - x / bw)
            pdf = stats.beta.sf(sample, a, (1 - x) / bw)
        elif x > (1 - 2 * bw):
            x_ = 1 - x
            a = a1 - np.sqrt(a2 - x_**2 - x_ / bw)
            pdf = stats.beta.sf(sample, x / bw, a)

Instances