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# DO NOT EDIT - AUTOMATICALLY GENERATED BY tests/make_test_stubs.py!
from __future__ import annotations
from typing import List
from numpy import (
float64,
ndarray,
)
from typing import (
List,
Optional,
Union,
)
def cdf_Gates_Gaudin_Schuhman(d: float, d_characteristic: float, m: float) -> float: ...
def cdf_Rosin_Rammler(d: float, k: float, m: float) -> float: ...
def cdf_lognormal(d: float, d_characteristic: float, s: float) -> float: ...
def pdf_Gates_Gaudin_Schuhman(d: float, d_characteristic: float, m: float) -> float: ...
def pdf_Gates_Gaudin_Schuhman_basis_integral(d: float, d_characteristic: float, m: float, n: int) -> float: ...
def pdf_Rosin_Rammler(d: float, k: float, m: float) -> float: ...
def pdf_Rosin_Rammler_basis_integral(d: float, k: float, m: float, n: int) -> float: ...
def pdf_lognormal(d: float, d_characteristic: float, s: float) -> float: ...
def pdf_lognormal_basis_integral(d: float, d_characteristic: float, s: float, n: float) -> float: ...
def psd_spacing(
d_min: Optional[float] = ...,
d_max: Optional[float] = ...,
pts: int = ...,
method: str = ...
) -> List[float]: ...
class PSDInterpolated:
def __init__(
self,
ds: Union[List[float], ndarray, List[float64]],
fractions: Union[List[float], List[float64]],
order: int = ...,
monotonic: bool = ...
) -> None: ...
def _cdf(self, d: Union[int, float64, float]) -> float: ...
def _pdf(self, d: float) -> float: ...
def _pdf_basis_integral(self, d: Union[float64, float], n: int) -> float: ...
class PSDLognormal:
def __init__(
self,
d_characteristic: float,
s: float,
order: int = ...,
d_min: Optional[float] = ...,
d_max: Optional[float] = ...
) -> None: ...
def _cdf(self, d: float) -> float: ...
def _pdf(self, d: float) -> float: ...
def _pdf_basis_integral(self, d: float, n: float) -> float: ...
class ParticleSizeDistribution:
@property
def Dis(self) -> Union[List[float], List[float64]]: ...
def __init__(
self,
ds: Union[List[float], List[float], ndarray],
fractions: Union[List[float], List[int]],
cdf: bool = ...,
order: int = ...,
monotonic: bool = ...
) -> None: ...
def _cdf(self, d: Union[int, float64, float]) -> float: ...
def _pdf(self, d: float) -> float: ...
def _pdf_basis_integral(self, d: Union[float64, float], n: int) -> float: ...
def di_power(self, i: int, power: int = ...) -> Union[float64, float]: ...
@property
def interpolated(self) -> PSDInterpolated: ...
def mean_size(self, p: int, q: int) -> Union[float64, float]: ...
@property
def vssa(self) -> float: ...
class ParticleSizeDistributionContinuous:
def _pdf_basis_integral_definite(
self,
d_min: Union[float64, float],
d_max: Union[float64, float],
n: float
) -> float: ...
def cdf(self, d: Union[int, float64, float], n: Optional[int] = ...) -> float: ...
def cdf_discrete(self, ds: Union[List[float], ndarray], n: None = ...) -> List[float]: ...
def dn(self, fraction: Union[int, float64, float], n: None = ...) -> Union[float64, float]: ...
def ds_discrete(
self,
d_min: Optional[float] = ...,
d_max: Optional[float] = ...,
pts: int = ...,
limit: float = ...,
method: str = ...
) -> List[float]: ...
def fractions_discrete(self, ds: Union[List[float], ndarray], n: None = ...) -> List[float]: ...
def mean_size(self, p: float, q: float) -> float: ...
def mean_size_ISO(self, k: int, r: int) -> float: ...
def pdf(self, d: float, n: Optional[int] = ...) -> float: ...
@property
def vssa(self) -> float: ...
class Sieve:
def __init__(
self,
designation: str,
old_designation: Optional[str] = ...,
opening: Optional[float] = ...,
opening_inch: Optional[float] = ...,
Y_variation_avg: Optional[float] = ...,
X_variation_max: Optional[float] = ...,
max_opening: Optional[float] = ...,
compliance_samples: Optional[float] = ...,
compliance_sd: Optional[float] = ...,
inspection_samples: Optional[float] = ...,
inspection_sd: Optional[float] = ...,
calibration_samples: Optional[float] = ...,
calibration_sd: Optional[float] = ...,
d_wire: Optional[float] = ...,
d_wire_min: Optional[float] = ...,
d_wire_max: Optional[float] = ...
) -> None: ...
__all__: List[str]
|
