134 lines
6.6 KiB
Python
134 lines
6.6 KiB
Python
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"""
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Tests for :mod:`core.numeric`.
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Does not include tests which fall under ``array_constructors``.
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"""
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import numpy as np
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import numpy.typing as npt
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class SubClass(npt.NDArray[np.int64]):
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...
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i8: np.int64
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AR_b: npt.NDArray[np.bool_]
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AR_u8: npt.NDArray[np.uint64]
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AR_i8: npt.NDArray[np.int64]
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AR_f8: npt.NDArray[np.float64]
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AR_c16: npt.NDArray[np.complex128]
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AR_m: npt.NDArray[np.timedelta64]
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AR_O: npt.NDArray[np.object_]
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B: list[int]
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C: SubClass
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reveal_type(np.count_nonzero(i8)) # E: int
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reveal_type(np.count_nonzero(AR_i8)) # E: int
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reveal_type(np.count_nonzero(B)) # E: int
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reveal_type(np.count_nonzero(AR_i8, keepdims=True)) # E: Any
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reveal_type(np.count_nonzero(AR_i8, axis=0)) # E: Any
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reveal_type(np.isfortran(i8)) # E: bool
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reveal_type(np.isfortran(AR_i8)) # E: bool
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reveal_type(np.argwhere(i8)) # E: ndarray[Any, dtype[{intp}]]
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reveal_type(np.argwhere(AR_i8)) # E: ndarray[Any, dtype[{intp}]]
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reveal_type(np.flatnonzero(i8)) # E: ndarray[Any, dtype[{intp}]]
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reveal_type(np.flatnonzero(AR_i8)) # E: ndarray[Any, dtype[{intp}]]
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reveal_type(np.correlate(B, AR_i8, mode="valid")) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.correlate(AR_i8, AR_i8, mode="same")) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.correlate(AR_b, AR_b)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.correlate(AR_b, AR_u8)) # E: ndarray[Any, dtype[unsignedinteger[Any]]]
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reveal_type(np.correlate(AR_i8, AR_b)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.correlate(AR_i8, AR_f8)) # E: ndarray[Any, dtype[floating[Any]]]
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reveal_type(np.correlate(AR_i8, AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
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reveal_type(np.correlate(AR_i8, AR_m)) # E: ndarray[Any, dtype[timedelta64]]
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reveal_type(np.correlate(AR_O, AR_O)) # E: ndarray[Any, dtype[object_]]
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reveal_type(np.convolve(B, AR_i8, mode="valid")) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.convolve(AR_i8, AR_i8, mode="same")) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.convolve(AR_b, AR_b)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.convolve(AR_b, AR_u8)) # E: ndarray[Any, dtype[unsignedinteger[Any]]]
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reveal_type(np.convolve(AR_i8, AR_b)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.convolve(AR_i8, AR_f8)) # E: ndarray[Any, dtype[floating[Any]]]
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reveal_type(np.convolve(AR_i8, AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
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reveal_type(np.convolve(AR_i8, AR_m)) # E: ndarray[Any, dtype[timedelta64]]
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reveal_type(np.convolve(AR_O, AR_O)) # E: ndarray[Any, dtype[object_]]
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reveal_type(np.outer(i8, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.outer(B, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.outer(AR_i8, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.outer(AR_i8, AR_i8, out=C)) # E: SubClass
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reveal_type(np.outer(AR_b, AR_b)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.outer(AR_b, AR_u8)) # E: ndarray[Any, dtype[unsignedinteger[Any]]]
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reveal_type(np.outer(AR_i8, AR_b)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.convolve(AR_i8, AR_f8)) # E: ndarray[Any, dtype[floating[Any]]]
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reveal_type(np.outer(AR_i8, AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
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reveal_type(np.outer(AR_i8, AR_m)) # E: ndarray[Any, dtype[timedelta64]]
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reveal_type(np.outer(AR_O, AR_O)) # E: ndarray[Any, dtype[object_]]
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reveal_type(np.tensordot(B, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.tensordot(AR_i8, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.tensordot(AR_i8, AR_i8, axes=0)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.tensordot(AR_i8, AR_i8, axes=(0, 1))) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.tensordot(AR_b, AR_b)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.tensordot(AR_b, AR_u8)) # E: ndarray[Any, dtype[unsignedinteger[Any]]]
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reveal_type(np.tensordot(AR_i8, AR_b)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.tensordot(AR_i8, AR_f8)) # E: ndarray[Any, dtype[floating[Any]]]
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reveal_type(np.tensordot(AR_i8, AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
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reveal_type(np.tensordot(AR_i8, AR_m)) # E: ndarray[Any, dtype[timedelta64]]
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reveal_type(np.tensordot(AR_O, AR_O)) # E: ndarray[Any, dtype[object_]]
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reveal_type(np.isscalar(i8)) # E: bool
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reveal_type(np.isscalar(AR_i8)) # E: bool
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reveal_type(np.isscalar(B)) # E: bool
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reveal_type(np.roll(AR_i8, 1)) # E: ndarray[Any, dtype[{int64}]]
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reveal_type(np.roll(AR_i8, (1, 2))) # E: ndarray[Any, dtype[{int64}]]
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reveal_type(np.roll(B, 1)) # E: ndarray[Any, dtype[Any]]
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reveal_type(np.rollaxis(AR_i8, 0, 1)) # E: ndarray[Any, dtype[{int64}]]
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reveal_type(np.moveaxis(AR_i8, 0, 1)) # E: ndarray[Any, dtype[{int64}]]
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reveal_type(np.moveaxis(AR_i8, (0, 1), (1, 2))) # E: ndarray[Any, dtype[{int64}]]
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reveal_type(np.cross(B, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.cross(AR_i8, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.cross(AR_b, AR_u8)) # E: ndarray[Any, dtype[unsignedinteger[Any]]]
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reveal_type(np.cross(AR_i8, AR_b)) # E: ndarray[Any, dtype[signedinteger[Any]]]
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reveal_type(np.cross(AR_i8, AR_f8)) # E: ndarray[Any, dtype[floating[Any]]]
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reveal_type(np.cross(AR_i8, AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
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reveal_type(np.cross(AR_O, AR_O)) # E: ndarray[Any, dtype[object_]]
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reveal_type(np.indices([0, 1, 2])) # E: ndarray[Any, dtype[{int_}]]
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reveal_type(np.indices([0, 1, 2], sparse=True)) # E: tuple[ndarray[Any, dtype[{int_}]], ...]
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reveal_type(np.indices([0, 1, 2], dtype=np.float64)) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(np.indices([0, 1, 2], sparse=True, dtype=np.float64)) # E: tuple[ndarray[Any, dtype[{float64}]], ...]
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reveal_type(np.indices([0, 1, 2], dtype=float)) # E: ndarray[Any, dtype[Any]]
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reveal_type(np.indices([0, 1, 2], sparse=True, dtype=float)) # E: tuple[ndarray[Any, dtype[Any]], ...]
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reveal_type(np.binary_repr(1)) # E: str
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reveal_type(np.base_repr(1)) # E: str
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reveal_type(np.allclose(i8, AR_i8)) # E: bool
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reveal_type(np.allclose(B, AR_i8)) # E: bool
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reveal_type(np.allclose(AR_i8, AR_i8)) # E: bool
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reveal_type(np.isclose(i8, i8)) # E: bool_
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reveal_type(np.isclose(i8, AR_i8)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.isclose(B, AR_i8)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.isclose(AR_i8, AR_i8)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.array_equal(i8, AR_i8)) # E: bool
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reveal_type(np.array_equal(B, AR_i8)) # E: bool
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reveal_type(np.array_equal(AR_i8, AR_i8)) # E: bool
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reveal_type(np.array_equiv(i8, AR_i8)) # E: bool
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reveal_type(np.array_equiv(B, AR_i8)) # E: bool
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reveal_type(np.array_equiv(AR_i8, AR_i8)) # E: bool
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