PATH:
opt
/
cloudlinux
/
venv
/
lib
/
python3.11
/
site-packages
/
numpy
/
typing
/
tests
/
data
/
reveal
from typing import Any import numpy as np import numpy.typing as npt AR_LIKE_b: list[bool] AR_LIKE_u: list[np.uint32] AR_LIKE_i: list[int] AR_LIKE_f: list[float] AR_LIKE_c: list[complex] AR_LIKE_U: list[str] AR_o: npt.NDArray[np.object_] OUT_f: npt.NDArray[np.float64] reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b)) # E: Any reveal_type(np.einsum("i,i->i", AR_o, AR_o)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i)) # E: Any reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f)) # E: ndarray[Any, dtype[{float64}] reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe", out=OUT_f)) # E: ndarray[Any, dtype[{float64}] reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, dtype="c16")) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe")) # E: Any reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_b)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_u, AR_LIKE_u)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_i, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_f, AR_LIKE_f)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_c, AR_LIKE_c)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum([[1, 1], [1, 1]], AR_LIKE_i, AR_LIKE_i)) # E: Any reveal_type(np.einsum_path([[1, 1], [1, 1]], AR_LIKE_i, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str]
[-] arraysetops.pyi
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[-] lib_utils.pyi
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..
[-] ndarray_misc.pyi
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[-] numerictypes.pyi
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[-] stride_tricks.pyi
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[-] random.pyi
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[-] linalg.pyi
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[-] npyio.pyi
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[-] memmap.pyi
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[-] matrix.pyi
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[-] index_tricks.pyi
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[-] scalars.pyi
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[-] ufunclike.pyi
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[-] ndarray_conversion.pyi
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[-] arrayterator.pyi
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[-] constants.pyi
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[-] lib_function_base.pyi
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[-] einsumfunc.pyi
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[-] modules.pyi
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[-] flatiter.pyi
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[-] false_positives.pyi
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[-] array_constructors.pyi
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[-] testing.pyi
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[-] lib_version.pyi
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[-] twodim_base.pyi
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[-] ctypeslib.pyi
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[-] fromnumeric.pyi
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[-] fft.pyi
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[-] histograms.pyi
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[-] dtype.pyi
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[-] numeric.pyi
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[-] nested_sequence.pyi
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[-] lib_polynomial.pyi
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[-] nbit_base_example.pyi
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[-] datasource.pyi
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[-] chararray.pyi
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[-] warnings_and_errors.pyi
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[-] arithmetic.pyi
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[-] arrayprint.pyi
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[-] nditer.pyi
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[-] getlimits.pyi
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[-] ufuncs.pyi
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[-] bitwise_ops.pyi
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[-] char.pyi
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[-] shape_base.pyi
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