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numpy
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lib
mixins.pyi
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: ...
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