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statistics: relax linear_regression input types (#15249)

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Ali Hamdan
2026-01-11 07:00:53 +01:00
committed by GitHub
parent 9d40875925
commit 4092415812
1 changed files with 10 additions and 4 deletions
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stdlib/statistics.pyi
+10 -4
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@@ -1,9 +1,9 @@
import sys
from _typeshed import SupportsRichComparisonT
from collections.abc import Callable, Hashable, Iterable, Sequence
from collections.abc import Callable, Hashable, Iterable, Sequence, Sized
from decimal import Decimal
from fractions import Fraction
from typing import Literal, NamedTuple, SupportsFloat, SupportsIndex, TypeVar
from typing import Literal, NamedTuple, Protocol, SupportsFloat, SupportsIndex, TypeVar
from typing_extensions import Self, TypeAlias
__all__ = [
@@ -41,6 +41,10 @@ _HashableT = TypeVar("_HashableT", bound=Hashable)
# Used in NormalDist.samples and kde_random
_Seed: TypeAlias = int | float | str | bytes | bytearray # noqa: Y041
# Used in linear_regression
_T_co = TypeVar("_T_co", covariant=True)
class _SizedIterable(Iterable[_T_co], Sized, Protocol[_T_co]): ...
class StatisticsError(ValueError): ...
if sys.version_info >= (3, 11):
@@ -129,11 +133,13 @@ if sys.version_info >= (3, 10):
if sys.version_info >= (3, 11):
def linear_regression(
regressor: Sequence[_Number], dependent_variable: Sequence[_Number], /, *, proportional: bool = False
regressor: _SizedIterable[_Number], dependent_variable: _SizedIterable[_Number], /, *, proportional: bool = False
) -> LinearRegression: ...
elif sys.version_info >= (3, 10):
def linear_regression(regressor: Sequence[_Number], dependent_variable: Sequence[_Number], /) -> LinearRegression: ...
def linear_regression(
regressor: _SizedIterable[_Number], dependent_variable: _SizedIterable[_Number], /
) -> LinearRegression: ...
if sys.version_info >= (3, 13):
_Kernel: TypeAlias = Literal[