55 lines
1.1 KiB
Python
55 lines
1.1 KiB
Python
|
import numpy as np
|
||
|
|
from scipy._lib._util import DecimalNumber, IntNumber
|
||
|
|
|
||
|
|
|
||
|
|
def _cy_wrapper_centered_discrepancy(
|
||
|
|
sample: np.ndarray,
|
||
|
|
iterative: bool,
|
||
|
|
workers: IntNumber,
|
||
|
|
) -> float: ...
|
||
|
|
|
||
|
|
|
||
|
|
def _cy_wrapper_wrap_around_discrepancy(
|
||
|
|
sample: np.ndarray,
|
||
|
|
iterative: bool,
|
||
|
|
workers: IntNumber,
|
||
|
|
) -> float: ...
|
||
|
|
|
||
|
|
|
||
|
|
def _cy_wrapper_mixture_discrepancy(
|
||
|
|
sample: np.ndarray,
|
||
|
|
iterative: bool,
|
||
|
|
workers: IntNumber,
|
||
|
|
) -> float: ...
|
||
|
|
|
||
|
|
|
||
|
|
def _cy_wrapper_l2_star_discrepancy(
|
||
|
|
sample: np.ndarray,
|
||
|
|
iterative: bool,
|
||
|
|
workers: IntNumber,
|
||
|
|
) -> float: ...
|
||
|
|
|
||
|
|
|
||
|
|
def _cy_wrapper_update_discrepancy(
|
||
|
|
x_new_view: np.ndarray,
|
||
|
|
sample_view: np.ndarray,
|
||
|
|
initial_disc: DecimalNumber,
|
||
|
|
) -> float: ...
|
||
|
|
|
||
|
|
|
||
|
|
def _cy_van_der_corput(
|
||
|
|
n: IntNumber,
|
||
|
|
base: IntNumber,
|
||
|
|
start_index: IntNumber,
|
||
|
|
workers: IntNumber,
|
||
|
|
) -> np.ndarray: ...
|
||
|
|
|
||
|
|
|
||
|
|
def _cy_van_der_corput_scrambled(
|
||
|
|
n: IntNumber,
|
||
|
|
base: IntNumber,
|
||
|
|
start_index: IntNumber,
|
||
|
|
permutations: np.ndarray,
|
||
|
|
workers: IntNumber,
|
||
|
|
) -> np.ndarray: ...
|