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..
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__init__.py
(2.7 KB)
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__init__.pyi
(5.46 KB)
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__pycache__
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_datasource.py
(22.1 KB)
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_iotools.py
(30.14 KB)
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_version.py
(4.74 KB)
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_version.pyi
(633 B)
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arraypad.py
(31.06 KB)
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arraypad.pyi
(1.69 KB)
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arraysetops.py
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arraysetops.pyi
(8.14 KB)
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arrayterator.py
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arrayterator.pyi
(1.5 KB)
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format.py
(33.95 KB)
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format.pyi
(748 B)
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function_base.py
(184.67 KB)
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function_base.pyi
(16.2 KB)
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histograms.py
(36.81 KB)
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histograms.pyi
(995 B)
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index_tricks.py
(30.61 KB)
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index_tricks.pyi
(4.15 KB)
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mixins.py
(6.91 KB)
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mixins.pyi
(3.04 KB)
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nanfunctions.py
(64.23 KB)
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nanfunctions.pyi
(606 B)
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npyio.py
(95.04 KB)
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npyio.pyi
(9.5 KB)
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polynomial.py
(43.1 KB)
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polynomial.pyi
(6.79 KB)
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recfunctions.py
(58.03 KB)
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scimath.py
(14.68 KB)
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scimath.pyi
(2.82 KB)
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setup.py
(405 B)
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shape_base.py
(38.03 KB)
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shape_base.pyi
(5.06 KB)
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stride_tricks.py
(17.49 KB)
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stride_tricks.pyi
(1.71 KB)
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tests
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twodim_base.py
(32.17 KB)
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twodim_base.pyi
(5.24 KB)
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type_check.py
(19.49 KB)
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type_check.pyi
(5.44 KB)
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ufunclike.py
(6.18 KB)
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ufunclike.pyi
(1.26 KB)
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user_array.py
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utils.py
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utils.pyi
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Editing: 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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