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statistics: relax linear_regression input types #15249

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Merged
hauntsaninja merged 1 commit into from
Jan 11, 2026
+10 −4
Merged

statistics: relax linear_regression input types #15249

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14 changes: 10 additions & 4 deletions stdlib/statistics.pyi
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Original file line number Diff line number Diff line change
@@ -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__ = [
Expand Down Expand Up @@ -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):
Expand Down Expand Up @@ -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[
Expand Down