done
This commit is contained in:
703
lib/python3.11/site-packages/numpy/random/mtrand.pyi
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703
lib/python3.11/site-packages/numpy/random/mtrand.pyi
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@ -0,0 +1,703 @@
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import builtins
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from collections.abc import Callable
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from typing import Any, Literal, overload
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import numpy as np
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from numpy import (
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dtype,
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float64,
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int8,
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int16,
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int32,
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int64,
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int_,
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long,
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uint,
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uint8,
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uint16,
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uint32,
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uint64,
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ulong,
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)
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from numpy._typing import (
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ArrayLike,
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NDArray,
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_ArrayLikeFloat_co,
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_ArrayLikeInt_co,
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_DTypeLikeBool,
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_Int8Codes,
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_Int16Codes,
|
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_Int32Codes,
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_Int64Codes,
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_IntCodes,
|
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_LongCodes,
|
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_ShapeLike,
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_SupportsDType,
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_UInt8Codes,
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_UInt16Codes,
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_UInt32Codes,
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_UInt64Codes,
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_UIntCodes,
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_ULongCodes,
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)
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from numpy.random.bit_generator import BitGenerator
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class RandomState:
|
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_bit_generator: BitGenerator
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def __init__(self, seed: _ArrayLikeInt_co | BitGenerator | None = ...) -> None: ...
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||||
def __repr__(self) -> str: ...
|
||||
def __str__(self) -> str: ...
|
||||
def __getstate__(self) -> dict[str, Any]: ...
|
||||
def __setstate__(self, state: dict[str, Any]) -> None: ...
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||||
def __reduce__(self) -> tuple[Callable[[BitGenerator], RandomState], tuple[BitGenerator], dict[str, Any]]: ... # noqa: E501
|
||||
def seed(self, seed: _ArrayLikeFloat_co | None = ...) -> None: ...
|
||||
@overload
|
||||
def get_state(self, legacy: Literal[False] = ...) -> dict[str, Any]: ...
|
||||
@overload
|
||||
def get_state(
|
||||
self, legacy: Literal[True] = ...
|
||||
) -> dict[str, Any] | tuple[str, NDArray[uint32], int, int, float]: ...
|
||||
def set_state(
|
||||
self, state: dict[str, Any] | tuple[str, NDArray[uint32], int, int, float]
|
||||
) -> None: ...
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||||
@overload
|
||||
def random_sample(self, size: None = ...) -> float: ... # type: ignore[misc]
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@overload
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def random_sample(self, size: _ShapeLike) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def random(self, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
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def random(self, size: _ShapeLike) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def beta(self, a: float, b: float, size: None = ...) -> float: ... # type: ignore[misc]
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||||
@overload
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||||
def beta(
|
||||
self,
|
||||
a: _ArrayLikeFloat_co,
|
||||
b: _ArrayLikeFloat_co,
|
||||
size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def exponential(self, scale: float = ..., size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def exponential(
|
||||
self, scale: _ArrayLikeFloat_co = ..., size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def standard_exponential(self, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def standard_exponential(self, size: _ShapeLike) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def tomaxint(self, size: None = ...) -> int: ... # type: ignore[misc]
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@overload
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||||
# Generates long values, but stores it in a 64bit int:
|
||||
def tomaxint(self, size: _ShapeLike) -> NDArray[int64]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
) -> int: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: type[bool] = ...,
|
||||
) -> bool: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: type[np.bool] = ...,
|
||||
) -> np.bool: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: type[int] = ...,
|
||||
) -> int: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[uint8] | type[uint8] | _UInt8Codes | _SupportsDType[dtype[uint8]] = ..., # noqa: E501
|
||||
) -> uint8: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[uint16] | type[uint16] | _UInt16Codes | _SupportsDType[dtype[uint16]] = ..., # noqa: E501
|
||||
) -> uint16: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[uint32] | type[uint32] | _UInt32Codes | _SupportsDType[dtype[uint32]] = ..., # noqa: E501
|
||||
) -> uint32: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[uint] | type[uint] | _UIntCodes | _SupportsDType[dtype[uint]] = ..., # noqa: E501
|
||||
) -> uint: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[ulong] | type[ulong] | _ULongCodes | _SupportsDType[dtype[ulong]] = ..., # noqa: E501
|
||||
) -> ulong: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[uint64] | type[uint64] | _UInt64Codes | _SupportsDType[dtype[uint64]] = ..., # noqa: E501
|
||||
) -> uint64: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[int8] | type[int8] | _Int8Codes | _SupportsDType[dtype[int8]] = ..., # noqa: E501
|
||||
) -> int8: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[int16] | type[int16] | _Int16Codes | _SupportsDType[dtype[int16]] = ..., # noqa: E501
|
||||
) -> int16: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[int32] | type[int32] | _Int32Codes | _SupportsDType[dtype[int32]] = ..., # noqa: E501
|
||||
) -> int32: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[int_] | type[int_] | _IntCodes | _SupportsDType[dtype[int_]] = ..., # noqa: E501
|
||||
) -> int_: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[long] | type[long] | _LongCodes | _SupportsDType[dtype[long]] = ..., # noqa: E501
|
||||
) -> long: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: int,
|
||||
high: int | None = ...,
|
||||
size: None = ...,
|
||||
dtype: dtype[int64] | type[int64] | _Int64Codes | _SupportsDType[dtype[int64]] = ..., # noqa: E501
|
||||
) -> int64: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[long]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
dtype: _DTypeLikeBool = ...,
|
||||
) -> NDArray[np.bool]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
dtype: dtype[int8] | type[int8] | _Int8Codes | _SupportsDType[dtype[int8]] = ..., # noqa: E501
|
||||
) -> NDArray[int8]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
dtype: dtype[int16] | type[int16] | _Int16Codes | _SupportsDType[dtype[int16]] = ..., # noqa: E501
|
||||
) -> NDArray[int16]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
dtype: dtype[int32] | type[int32] | _Int32Codes | _SupportsDType[dtype[int32]] = ..., # noqa: E501
|
||||
) -> NDArray[int32]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
dtype: dtype[int64] | type[int64] | _Int64Codes | _SupportsDType[dtype[int64]] | None = ..., # noqa: E501
|
||||
) -> NDArray[int64]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
dtype: dtype[uint8] | type[uint8] | _UInt8Codes | _SupportsDType[dtype[uint8]] = ..., # noqa: E501
|
||||
) -> NDArray[uint8]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
dtype: dtype[uint16] | type[uint16] | _UInt16Codes | _SupportsDType[dtype[uint16]] = ..., # noqa: E501
|
||||
) -> NDArray[uint16]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
dtype: dtype[uint32] | type[uint32] | _UInt32Codes | _SupportsDType[dtype[uint32]] = ..., # noqa: E501
|
||||
) -> NDArray[uint32]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
dtype: dtype[uint64] | type[uint64] | _UInt64Codes | _SupportsDType[dtype[uint64]] = ..., # noqa: E501
|
||||
) -> NDArray[uint64]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
dtype: dtype[long] | type[int] | type[long] | _LongCodes | _SupportsDType[dtype[long]] = ..., # noqa: E501
|
||||
) -> NDArray[long]: ...
|
||||
@overload
|
||||
def randint( # type: ignore[misc]
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
dtype: dtype[ulong] | type[ulong] | _ULongCodes | _SupportsDType[dtype[ulong]] = ..., # noqa: E501
|
||||
) -> NDArray[ulong]: ...
|
||||
def bytes(self, length: int) -> builtins.bytes: ...
|
||||
@overload
|
||||
def choice(
|
||||
self,
|
||||
a: int,
|
||||
size: None = ...,
|
||||
replace: bool = ...,
|
||||
p: _ArrayLikeFloat_co | None = ...,
|
||||
) -> int: ...
|
||||
@overload
|
||||
def choice(
|
||||
self,
|
||||
a: int,
|
||||
size: _ShapeLike = ...,
|
||||
replace: bool = ...,
|
||||
p: _ArrayLikeFloat_co | None = ...,
|
||||
) -> NDArray[long]: ...
|
||||
@overload
|
||||
def choice(
|
||||
self,
|
||||
a: ArrayLike,
|
||||
size: None = ...,
|
||||
replace: bool = ...,
|
||||
p: _ArrayLikeFloat_co | None = ...,
|
||||
) -> Any: ...
|
||||
@overload
|
||||
def choice(
|
||||
self,
|
||||
a: ArrayLike,
|
||||
size: _ShapeLike = ...,
|
||||
replace: bool = ...,
|
||||
p: _ArrayLikeFloat_co | None = ...,
|
||||
) -> NDArray[Any]: ...
|
||||
@overload
|
||||
def uniform(
|
||||
self, low: float = ..., high: float = ..., size: None = ...
|
||||
) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def uniform(
|
||||
self,
|
||||
low: _ArrayLikeFloat_co = ...,
|
||||
high: _ArrayLikeFloat_co = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def rand(self) -> float: ...
|
||||
@overload
|
||||
def rand(self, *args: int) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def randn(self) -> float: ...
|
||||
@overload
|
||||
def randn(self, *args: int) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def random_integers(
|
||||
self, low: int, high: int | None = ..., size: None = ...
|
||||
) -> int: ... # type: ignore[misc]
|
||||
@overload
|
||||
def random_integers(
|
||||
self,
|
||||
low: _ArrayLikeInt_co,
|
||||
high: _ArrayLikeInt_co | None = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[long]: ...
|
||||
@overload
|
||||
def standard_normal(self, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def standard_normal( # type: ignore[misc]
|
||||
self, size: _ShapeLike = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def normal(
|
||||
self, loc: float = ..., scale: float = ..., size: None = ...
|
||||
) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def normal(
|
||||
self,
|
||||
loc: _ArrayLikeFloat_co = ...,
|
||||
scale: _ArrayLikeFloat_co = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def standard_gamma( # type: ignore[misc]
|
||||
self,
|
||||
shape: float,
|
||||
size: None = ...,
|
||||
) -> float: ...
|
||||
@overload
|
||||
def standard_gamma(
|
||||
self,
|
||||
shape: _ArrayLikeFloat_co,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def gamma(self, shape: float, scale: float = ..., size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def gamma(
|
||||
self,
|
||||
shape: _ArrayLikeFloat_co,
|
||||
scale: _ArrayLikeFloat_co = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def f(self, dfnum: float, dfden: float, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def f(
|
||||
self,
|
||||
dfnum: _ArrayLikeFloat_co,
|
||||
dfden: _ArrayLikeFloat_co,
|
||||
size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def noncentral_f(
|
||||
self, dfnum: float, dfden: float, nonc: float, size: None = ...
|
||||
) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def noncentral_f(
|
||||
self,
|
||||
dfnum: _ArrayLikeFloat_co,
|
||||
dfden: _ArrayLikeFloat_co,
|
||||
nonc: _ArrayLikeFloat_co,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def chisquare(self, df: float, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def chisquare(
|
||||
self, df: _ArrayLikeFloat_co, size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def noncentral_chisquare(
|
||||
self, df: float, nonc: float, size: None = ...
|
||||
) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def noncentral_chisquare(
|
||||
self,
|
||||
df: _ArrayLikeFloat_co,
|
||||
nonc: _ArrayLikeFloat_co,
|
||||
size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def standard_t(self, df: float, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def standard_t(
|
||||
self, df: _ArrayLikeFloat_co, size: None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def standard_t(
|
||||
self, df: _ArrayLikeFloat_co, size: _ShapeLike = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def vonmises(self, mu: float, kappa: float, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def vonmises(
|
||||
self,
|
||||
mu: _ArrayLikeFloat_co,
|
||||
kappa: _ArrayLikeFloat_co,
|
||||
size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def pareto(self, a: float, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def pareto(
|
||||
self, a: _ArrayLikeFloat_co, size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def weibull(self, a: float, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def weibull(
|
||||
self, a: _ArrayLikeFloat_co, size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def power(self, a: float, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def power(
|
||||
self, a: _ArrayLikeFloat_co, size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def standard_cauchy(self, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def standard_cauchy(self, size: _ShapeLike = ...) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def laplace(
|
||||
self, loc: float = ..., scale: float = ..., size: None = ...
|
||||
) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def laplace(
|
||||
self,
|
||||
loc: _ArrayLikeFloat_co = ...,
|
||||
scale: _ArrayLikeFloat_co = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def gumbel(
|
||||
self, loc: float = ..., scale: float = ..., size: None = ...
|
||||
) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def gumbel(
|
||||
self,
|
||||
loc: _ArrayLikeFloat_co = ...,
|
||||
scale: _ArrayLikeFloat_co = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def logistic(
|
||||
self, loc: float = ..., scale: float = ..., size: None = ...
|
||||
) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def logistic(
|
||||
self,
|
||||
loc: _ArrayLikeFloat_co = ...,
|
||||
scale: _ArrayLikeFloat_co = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def lognormal(
|
||||
self, mean: float = ..., sigma: float = ..., size: None = ...
|
||||
) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def lognormal(
|
||||
self,
|
||||
mean: _ArrayLikeFloat_co = ...,
|
||||
sigma: _ArrayLikeFloat_co = ...,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def rayleigh(self, scale: float = ..., size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def rayleigh(
|
||||
self, scale: _ArrayLikeFloat_co = ..., size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def wald(self, mean: float, scale: float, size: None = ...) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def wald(
|
||||
self,
|
||||
mean: _ArrayLikeFloat_co,
|
||||
scale: _ArrayLikeFloat_co,
|
||||
size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def triangular(
|
||||
self, left: float, mode: float, right: float, size: None = ...
|
||||
) -> float: ... # type: ignore[misc]
|
||||
@overload
|
||||
def triangular(
|
||||
self,
|
||||
left: _ArrayLikeFloat_co,
|
||||
mode: _ArrayLikeFloat_co,
|
||||
right: _ArrayLikeFloat_co,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[float64]: ...
|
||||
@overload
|
||||
def binomial(
|
||||
self, n: int, p: float, size: None = ...
|
||||
) -> int: ... # type: ignore[misc]
|
||||
@overload
|
||||
def binomial(
|
||||
self, n: _ArrayLikeInt_co, p: _ArrayLikeFloat_co, size: _ShapeLike | None = ...
|
||||
) -> NDArray[long]: ...
|
||||
@overload
|
||||
def negative_binomial(
|
||||
self, n: float, p: float, size: None = ...
|
||||
) -> int: ... # type: ignore[misc]
|
||||
@overload
|
||||
def negative_binomial(
|
||||
self,
|
||||
n: _ArrayLikeFloat_co,
|
||||
p: _ArrayLikeFloat_co,
|
||||
size: _ShapeLike | None = ...
|
||||
) -> NDArray[long]: ...
|
||||
@overload
|
||||
def poisson(
|
||||
self, lam: float = ..., size: None = ...
|
||||
) -> int: ... # type: ignore[misc]
|
||||
@overload
|
||||
def poisson(
|
||||
self, lam: _ArrayLikeFloat_co = ..., size: _ShapeLike | None = ...
|
||||
) -> NDArray[long]: ...
|
||||
@overload
|
||||
def zipf(self, a: float, size: None = ...) -> int: ... # type: ignore[misc]
|
||||
@overload
|
||||
def zipf(
|
||||
self, a: _ArrayLikeFloat_co, size: _ShapeLike | None = ...
|
||||
) -> NDArray[long]: ...
|
||||
@overload
|
||||
def geometric(self, p: float, size: None = ...) -> int: ... # type: ignore[misc]
|
||||
@overload
|
||||
def geometric(
|
||||
self, p: _ArrayLikeFloat_co, size: _ShapeLike | None = ...
|
||||
) -> NDArray[long]: ...
|
||||
@overload
|
||||
def hypergeometric(
|
||||
self, ngood: int, nbad: int, nsample: int, size: None = ...
|
||||
) -> int: ... # type: ignore[misc]
|
||||
@overload
|
||||
def hypergeometric(
|
||||
self,
|
||||
ngood: _ArrayLikeInt_co,
|
||||
nbad: _ArrayLikeInt_co,
|
||||
nsample: _ArrayLikeInt_co,
|
||||
size: _ShapeLike | None = ...,
|
||||
) -> NDArray[long]: ...
|
||||
@overload
|
||||
def logseries(self, p: float, size: None = ...) -> int: ... # type: ignore[misc]
|
||||
@overload
|
||||
def logseries(
|
||||
self, p: _ArrayLikeFloat_co, size: _ShapeLike | None = ...
|
||||
) -> NDArray[long]: ...
|
||||
def multivariate_normal(
|
||||
self,
|
||||
mean: _ArrayLikeFloat_co,
|
||||
cov: _ArrayLikeFloat_co,
|
||||
size: _ShapeLike | None = ...,
|
||||
check_valid: Literal["warn", "raise", "ignore"] = ...,
|
||||
tol: float = ...,
|
||||
) -> NDArray[float64]: ...
|
||||
def multinomial(
|
||||
self, n: _ArrayLikeInt_co,
|
||||
pvals: _ArrayLikeFloat_co,
|
||||
size: _ShapeLike | None = ...
|
||||
) -> NDArray[long]: ...
|
||||
def dirichlet(
|
||||
self, alpha: _ArrayLikeFloat_co, size: _ShapeLike | None = ...
|
||||
) -> NDArray[float64]: ...
|
||||
def shuffle(self, x: ArrayLike) -> None: ...
|
||||
@overload
|
||||
def permutation(self, x: int) -> NDArray[long]: ...
|
||||
@overload
|
||||
def permutation(self, x: ArrayLike) -> NDArray[Any]: ...
|
||||
|
||||
_rand: RandomState
|
||||
|
||||
beta = _rand.beta
|
||||
binomial = _rand.binomial
|
||||
bytes = _rand.bytes
|
||||
chisquare = _rand.chisquare
|
||||
choice = _rand.choice
|
||||
dirichlet = _rand.dirichlet
|
||||
exponential = _rand.exponential
|
||||
f = _rand.f
|
||||
gamma = _rand.gamma
|
||||
get_state = _rand.get_state
|
||||
geometric = _rand.geometric
|
||||
gumbel = _rand.gumbel
|
||||
hypergeometric = _rand.hypergeometric
|
||||
laplace = _rand.laplace
|
||||
logistic = _rand.logistic
|
||||
lognormal = _rand.lognormal
|
||||
logseries = _rand.logseries
|
||||
multinomial = _rand.multinomial
|
||||
multivariate_normal = _rand.multivariate_normal
|
||||
negative_binomial = _rand.negative_binomial
|
||||
noncentral_chisquare = _rand.noncentral_chisquare
|
||||
noncentral_f = _rand.noncentral_f
|
||||
normal = _rand.normal
|
||||
pareto = _rand.pareto
|
||||
permutation = _rand.permutation
|
||||
poisson = _rand.poisson
|
||||
power = _rand.power
|
||||
rand = _rand.rand
|
||||
randint = _rand.randint
|
||||
randn = _rand.randn
|
||||
random = _rand.random
|
||||
random_integers = _rand.random_integers
|
||||
random_sample = _rand.random_sample
|
||||
rayleigh = _rand.rayleigh
|
||||
seed = _rand.seed
|
||||
set_state = _rand.set_state
|
||||
shuffle = _rand.shuffle
|
||||
standard_cauchy = _rand.standard_cauchy
|
||||
standard_exponential = _rand.standard_exponential
|
||||
standard_gamma = _rand.standard_gamma
|
||||
standard_normal = _rand.standard_normal
|
||||
standard_t = _rand.standard_t
|
||||
triangular = _rand.triangular
|
||||
uniform = _rand.uniform
|
||||
vonmises = _rand.vonmises
|
||||
wald = _rand.wald
|
||||
weibull = _rand.weibull
|
||||
zipf = _rand.zipf
|
||||
# Two legacy that are trivial wrappers around random_sample
|
||||
sample = _rand.random_sample
|
||||
ranf = _rand.random_sample
|
||||
|
||||
def set_bit_generator(bitgen: BitGenerator) -> None: ...
|
||||
|
||||
def get_bit_generator() -> BitGenerator: ...
|
||||
Reference in New Issue
Block a user