sampler.py 文件源码

def __init__(self, dimension,
                 constant_trace='None',
                 randn=np.random.randn,
                 quadratic=False,
                 **kwargs):
        try:
            self.dimension = len(dimension)
            standard_deviations = np.asarray(dimension)
        except TypeError:
            self.dimension = dimension
            standard_deviations = np.ones(dimension)
        assert self.dimension == len(standard_deviations)
        assert len(standard_deviations) == self.dimension

        self.C = standard_deviations**2
        "covariance matrix diagonal"
        self.constant_trace = constant_trace
        self.randn = randn
        self.quadratic = quadratic
        self.count_tell = 0