Traktor/myenv/Lib/site-packages/numpy/lib/mixins.pyi
2024-05-26 05:12:46 +02:00

75 lines
3.0 KiB
Python

from abc import ABCMeta, abstractmethod
from typing import Literal as L, Any
from numpy import ufunc
__all__: list[str]
# NOTE: `NDArrayOperatorsMixin` is not formally an abstract baseclass,
# even though it's reliant on subclasses implementing `__array_ufunc__`
# NOTE: The accepted input- and output-types of the various dunders are
# completely dependent on how `__array_ufunc__` is implemented.
# As such, only little type safety can be provided here.
class NDArrayOperatorsMixin(metaclass=ABCMeta):
@abstractmethod
def __array_ufunc__(
self,
ufunc: ufunc,
method: L["__call__", "reduce", "reduceat", "accumulate", "outer", "inner"],
*inputs: Any,
**kwargs: Any,
) -> Any: ...
def __lt__(self, other: Any) -> Any: ...
def __le__(self, other: Any) -> Any: ...
def __eq__(self, other: Any) -> Any: ...
def __ne__(self, other: Any) -> Any: ...
def __gt__(self, other: Any) -> Any: ...
def __ge__(self, other: Any) -> Any: ...
def __add__(self, other: Any) -> Any: ...
def __radd__(self, other: Any) -> Any: ...
def __iadd__(self, other: Any) -> Any: ...
def __sub__(self, other: Any) -> Any: ...
def __rsub__(self, other: Any) -> Any: ...
def __isub__(self, other: Any) -> Any: ...
def __mul__(self, other: Any) -> Any: ...
def __rmul__(self, other: Any) -> Any: ...
def __imul__(self, other: Any) -> Any: ...
def __matmul__(self, other: Any) -> Any: ...
def __rmatmul__(self, other: Any) -> Any: ...
def __imatmul__(self, other: Any) -> Any: ...
def __truediv__(self, other: Any) -> Any: ...
def __rtruediv__(self, other: Any) -> Any: ...
def __itruediv__(self, other: Any) -> Any: ...
def __floordiv__(self, other: Any) -> Any: ...
def __rfloordiv__(self, other: Any) -> Any: ...
def __ifloordiv__(self, other: Any) -> Any: ...
def __mod__(self, other: Any) -> Any: ...
def __rmod__(self, other: Any) -> Any: ...
def __imod__(self, other: Any) -> Any: ...
def __divmod__(self, other: Any) -> Any: ...
def __rdivmod__(self, other: Any) -> Any: ...
def __pow__(self, other: Any) -> Any: ...
def __rpow__(self, other: Any) -> Any: ...
def __ipow__(self, other: Any) -> Any: ...
def __lshift__(self, other: Any) -> Any: ...
def __rlshift__(self, other: Any) -> Any: ...
def __ilshift__(self, other: Any) -> Any: ...
def __rshift__(self, other: Any) -> Any: ...
def __rrshift__(self, other: Any) -> Any: ...
def __irshift__(self, other: Any) -> Any: ...
def __and__(self, other: Any) -> Any: ...
def __rand__(self, other: Any) -> Any: ...
def __iand__(self, other: Any) -> Any: ...
def __xor__(self, other: Any) -> Any: ...
def __rxor__(self, other: Any) -> Any: ...
def __ixor__(self, other: Any) -> Any: ...
def __or__(self, other: Any) -> Any: ...
def __ror__(self, other: Any) -> Any: ...
def __ior__(self, other: Any) -> Any: ...
def __neg__(self) -> Any: ...
def __pos__(self) -> Any: ...
def __abs__(self) -> Any: ...
def __invert__(self) -> Any: ...