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Suffix T to type variable names (#4898)

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* _MessageType to _MessageT

* _default to _T

* _TConnection to _ConnectionT, _TListener to _ListenerT

* _Number to _NumberT

* _MessageVar to _MessageT

* _Type to _TypeT

* _ArgType to _T

* _Ch to _CharT

Co-authored-by: hauntsaninja <>
This commit is contained in:
Shantanu
2021-01-04 00:03:32 -08:00
committed by GitHub
parent bc1fe548b9
commit 484c014665
9 changed files with 62 additions and 62 deletions
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20
stdlib/3/statistics.pyi
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@@ -6,7 +6,7 @@ from typing import Any, Hashable, Iterable, List, Optional, SupportsFloat, Type,
_T = TypeVar("_T")
# Most functions in this module accept homogeneous collections of one of these types
_Number = TypeVar("_Number", float, Decimal, Fraction)
_NumberT = TypeVar("_NumberT", float, Decimal, Fraction)
# Used in mode, multimode
_HashableT = TypeVar("_HashableT", bound=Hashable)
@@ -17,25 +17,25 @@ 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: ...
def harmonic_mean(data: Iterable[_Number]) -> _Number: ...
def median(data: Iterable[_Number]) -> _Number: ...
def mean(data: Iterable[_NumberT]) -> _NumberT: ...
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: ...
def median_grouped(data: Iterable[_Number], interval: _Number = ...) -> _Number: ...
def median_grouped(data: Iterable[_NumberT], interval: _NumberT = ...) -> _NumberT: ...
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: ...
def pstdev(data: Iterable[_NumberT], mu: Optional[_NumberT] = ...) -> _NumberT: ...
def pvariance(data: Iterable[_NumberT], mu: Optional[_NumberT] = ...) -> _NumberT: ...
if sys.version_info >= (3, 8):
def quantiles(data: Iterable[_Number], *, n: int = ..., method: str = ...) -> List[_Number]: ...
def quantiles(data: Iterable[_NumberT], *, n: int = ..., method: str = ...) -> List[_NumberT]: ...
def stdev(data: Iterable[_Number], xbar: Optional[_Number] = ...) -> _Number: ...
def variance(data: Iterable[_Number], xbar: Optional[_Number] = ...) -> _Number: ...
def stdev(data: Iterable[_NumberT], xbar: Optional[_NumberT] = ...) -> _NumberT: ...
def variance(data: Iterable[_NumberT], xbar: Optional[_NumberT] = ...) -> _NumberT: ...
if sys.version_info >= (3, 8):
class NormalDist: