from typing import List
from numpy import ndarray


def fixed_distance_se_iso_covariance(k, theta: List[float], x, z, i, j):
    pass


def fixed_se_iso(fixed_cov: ndarray, hyp: List[float], x, z, i):
    pass

96e93361101f8159503d0d1c47553bf3eeb2da2e
<mask token>

<mask token>


def fixed_se_iso(fixed_cov: ndarray, hyp: List[float], x, z, i):
    pass

<mask token>


def fixed_distance_se_iso_covariance(k, theta: List[float], x, z, i, j):
    pass


def fixed_se_iso(fixed_cov: ndarray, hyp: List[float], x, z, i):
    pass

from typing import List
from numpy import ndarray


def fixed_distance_se_iso_covariance(k, theta: List[float], x, z, i, j):
    pass


def fixed_se_iso(fixed_cov: ndarray, hyp: List[float], x, z, i):
    pass
