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apply black and isort (#4287)

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* apply black and isort

* move some type ignores
This commit is contained in:
Jelle Zijlstra
2020-06-28 13:31:00 -07:00
committed by GitHub
parent fe58699ca5
commit 5d553c9584
800 changed files with 13875 additions and 10332 deletions
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14
stdlib/3/statistics.pyi
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@@ -1,17 +1,18 @@
# Stubs for statistics
import sys
from decimal import Decimal
from fractions import Fraction
import sys
from typing import Any, Iterable, List, Optional, SupportsFloat, Type, TypeVar, Union, Protocol, Hashable
from typing import Any, Hashable, Iterable, List, Optional, Protocol, SupportsFloat, Type, TypeVar, Union
_T = TypeVar("_T")
# Most functions in this module accept homogeneous collections of one of these types
_Number = TypeVar('_Number', float, Decimal, Fraction)
_Number = TypeVar("_Number", float, Decimal, Fraction)
# Used in median_high, median_low
class _Sortable(Protocol):
def __lt__(self, other) -> bool: ...
_SortableT = TypeVar("_SortableT", bound=_Sortable)
# Used in mode, multimode
@@ -22,20 +23,27 @@ class StatisticsError(ValueError): ...
if sys.version_info >= (3, 8):
def fmean(data: Iterable[SupportsFloat]) -> float: ...
def geometric_mean(data: Iterable[SupportsFloat]) -> float: ...
def mean(data: Iterable[_Number]) -> _Number: ...
if sys.version_info >= (3, 6):
def harmonic_mean(data: Iterable[_Number]) -> _Number: ...
def median(data: Iterable[_Number]) -> _Number: ...
def median_low(data: Iterable[_SortableT]) -> _SortableT: ...
def median_high(data: Iterable[_SortableT]) -> _SortableT: ...
def median_grouped(data: Iterable[_Number], interval: _Number = ...) -> _Number: ...
def mode(data: Iterable[_HashableT]) -> _HashableT: ...
if sys.version_info >= (3, 8):
def multimode(data: Iterable[_HashableT]) -> List[_HashableT]: ...
def pstdev(data: Iterable[_Number], mu: Optional[_Number] = ...) -> _Number: ...
def pvariance(data: Iterable[_Number], mu: Optional[_Number] = ...) -> _Number: ...
if sys.version_info >= (3, 8):
def quantiles(data: Iterable[_Number], *, n: int = ..., method: str = ...) -> List[_Number]: ...
def stdev(data: Iterable[_Number], xbar: Optional[_Number] = ...) -> _Number: ...
def variance(data: Iterable[_Number], xbar: Optional[_Number] = ...) -> _Number: ...