mirror of
https://github.com/davidhalter/typeshed.git
synced 2025-12-08 04:54:47 +08:00
statistics: update for py310 (#5291)
This commit is contained in:
@@ -2,10 +2,11 @@ import sys
|
||||
from _typeshed import SupportsLessThanT
|
||||
from decimal import Decimal
|
||||
from fractions import Fraction
|
||||
from typing import Any, Hashable, Iterable, List, Optional, SupportsFloat, Type, TypeVar, Union
|
||||
from typing import Any, Hashable, Iterable, List, NamedTuple, Optional, Sequence, SupportsFloat, Type, TypeVar, Union
|
||||
|
||||
_T = TypeVar("_T")
|
||||
# Most functions in this module accept homogeneous collections of one of these types
|
||||
_Number = Union[float, Decimal, Fraction]
|
||||
_NumberT = TypeVar("_NumberT", float, Decimal, Fraction)
|
||||
|
||||
# Used in mode, multimode
|
||||
@@ -18,7 +19,13 @@ if sys.version_info >= (3, 8):
|
||||
def geometric_mean(data: Iterable[SupportsFloat]) -> float: ...
|
||||
|
||||
def mean(data: Iterable[_NumberT]) -> _NumberT: ...
|
||||
def harmonic_mean(data: Iterable[_NumberT]) -> _NumberT: ...
|
||||
|
||||
if sys.version_info >= (3, 10):
|
||||
def harmonic_mean(data: Iterable[_NumberT], weights: Optional[Iterable[_Number]] = ...) -> _NumberT: ...
|
||||
|
||||
else:
|
||||
def harmonic_mean(data: Iterable[_NumberT]) -> _NumberT: ...
|
||||
|
||||
def median(data: Iterable[_NumberT]) -> _NumberT: ...
|
||||
def median_low(data: Iterable[SupportsLessThanT]) -> SupportsLessThanT: ...
|
||||
def median_high(data: Iterable[SupportsLessThanT]) -> SupportsLessThanT: ...
|
||||
@@ -70,3 +77,11 @@ if sys.version_info >= (3, 8):
|
||||
def __rsub__(self, x2: Union[float, NormalDist]) -> NormalDist: ...
|
||||
__rmul__ = __mul__
|
||||
def __hash__(self) -> int: ...
|
||||
|
||||
if sys.version_info >= (3, 10):
|
||||
def correlation(__x: Sequence[_Number], __y: Sequence[_Number]) -> float: ...
|
||||
def covariance(__x: Sequence[_Number], __y: Sequence[_Number]) -> float: ...
|
||||
class LinearRegression(NamedTuple):
|
||||
intercept: float
|
||||
slope: float
|
||||
def linear_regression(__regressor: Sequence[_Number], __dependent_variable: Sequence[_Number]) -> LinearRegression: ...
|
||||
|
||||
Reference in New Issue
Block a user