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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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8
stdlib/2/random.pyi
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@@ -10,7 +10,7 @@ import _random
from typing import AbstractSet, Any, Callable, Iterator, List, MutableSequence, Protocol, Sequence, TypeVar, Union, overload
_T = TypeVar("_T")
_T_co = TypeVar('_T_co', covariant=True)
_T_co = TypeVar("_T_co", covariant=True)
class _Sampleable(Protocol[_T_co]):
def __iter__(self) -> Iterator[_T_co]: ...
@@ -45,8 +45,7 @@ class Random(_random.Random):
def weibullvariate(self, alpha: float, beta: float) -> float: ...
# SystemRandom is not implemented for all OS's; good on Windows & Linux
class SystemRandom(Random):
...
class SystemRandom(Random): ...
# ----- random function stubs -----
def seed(x: object = ...) -> None: ...
@@ -64,8 +63,7 @@ def shuffle(x: MutableSequence[Any], random: Callable[[], float] = ...) -> None:
def sample(population: _Sampleable[_T], k: int) -> List[_T]: ...
def random() -> float: ...
def uniform(a: float, b: float) -> float: ...
def triangular(low: float = ..., high: float = ...,
mode: float = ...) -> float: ...
def triangular(low: float = ..., high: float = ..., mode: float = ...) -> float: ...
def betavariate(alpha: float, beta: float) -> float: ...
def expovariate(lambd: float) -> float: ...
def gammavariate(alpha: float, beta: float) -> float: ...