| 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: ... | |