aa33b546f4001fca8a28e8a6d68ee34281668ef9,scipy/stats/_multivariate.py,multivariate_normal_gen,pdf,#multivariate_normal_gen#Any#Any#Any#,361

Before Change

        
        dim, mean, cov = _process_parameters(None, mean, cov)
        x = _process_quantiles(x, dim)
        prec_U, log_det_cov, rank = _psd_pinv_decomposed_log_pdet(cov)
        out = np.exp(self._logpdf(x, mean, prec_U, log_det_cov, rank))
        return _squeeze_output(out)

    def rvs(self, mean=None, cov=1, size=1):

After Change

        
        dim, mean, cov = _process_parameters(None, mean, cov)
        x = _process_quantiles(x, dim)
        psd = _PSD(cov)
        out = np.exp(self._logpdf(x, mean, psd.U, psd.log_pdet, psd.rank))
        return _squeeze_output(out)

    def rvs(self, mean=None, cov=1, size=1):

Instances