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- 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: ...
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