PATH:
opt
/
cloudlinux
/
venv
/
lib
/
python3.11
/
site-packages
/
numpy
/
typing
/
tests
/
data
/
reveal
from typing import Any import numpy.typing as npt AR_Any: npt.NDArray[Any] # Mypy bug where overload ambiguity is ignored for `Any`-parametrized types; # xref numpy/numpy#20099 and python/mypy#11347 # # The expected output would be something akin to `ndarray[Any, dtype[Any]]` reveal_type(AR_Any + 2) # E: ndarray[Any, dtype[signedinteger[Any]]]
[-] arraysetops.pyi
[open]
[-] lib_utils.pyi
[open]
[+]
..
[-] ndarray_misc.pyi
[open]
[-] numerictypes.pyi
[open]
[-] stride_tricks.pyi
[open]
[-] random.pyi
[open]
[-] linalg.pyi
[open]
[-] npyio.pyi
[open]
[-] memmap.pyi
[open]
[-] matrix.pyi
[open]
[-] index_tricks.pyi
[open]
[-] scalars.pyi
[open]
[-] ufunclike.pyi
[open]
[-] ndarray_conversion.pyi
[open]
[-] arrayterator.pyi
[open]
[-] constants.pyi
[open]
[-] lib_function_base.pyi
[open]
[-] einsumfunc.pyi
[open]
[-] modules.pyi
[open]
[-] flatiter.pyi
[open]
[-] false_positives.pyi
[open]
[-] array_constructors.pyi
[open]
[-] testing.pyi
[open]
[-] lib_version.pyi
[open]
[-] twodim_base.pyi
[open]
[-] ctypeslib.pyi
[open]
[-] fromnumeric.pyi
[open]
[-] fft.pyi
[open]
[-] histograms.pyi
[open]
[-] dtype.pyi
[open]
[-] numeric.pyi
[open]
[-] nested_sequence.pyi
[open]
[-] lib_polynomial.pyi
[open]
[-] nbit_base_example.pyi
[open]
[-] datasource.pyi
[open]
[-] chararray.pyi
[open]
[-] comparisons.pyi
[open]
[-] multiarray.pyi
[open]
[-] ndarray_shape_manipulation.pyi
[open]
[-] emath.pyi
[open]
[-] type_check.pyi
[open]
[-] rec.pyi
[open]
[-] version.pyi
[open]
[-] mod.pyi
[open]
[-] warnings_and_errors.pyi
[open]
[-] arithmetic.pyi
[open]
[-] arraypad.pyi
[open]
[-] arrayprint.pyi
[open]
[-] nditer.pyi
[open]
[-] getlimits.pyi
[open]
[-] ufunc_config.pyi
[open]
[-] ufuncs.pyi
[open]
[-] bitwise_ops.pyi
[open]
[-] char.pyi
[open]
[-] shape_base.pyi
[open]