ꦫꦣꦺꦤ꧀ꦄꦤ꧀ꦠꦱꦺꦤ

PATH: opt / cloudlinux / venv / lib / python3.11 / site-packages / numpy / typing / tests / data / reveal

import numpy as np
import numpy.typing as npt

nd: npt.NDArray[np.int_] = np.array([[1, 2], [3, 4]])

# item
reveal_type(nd.item())  # E: int
reveal_type(nd.item(1))  # E: int
reveal_type(nd.item(0, 1))  # E: int
reveal_type(nd.item((0, 1)))  # E: int

# tolist
reveal_type(nd.tolist())  # E: Any

# itemset does not return a value
# tostring is pretty simple
# tobytes is pretty simple
# tofile does not return a value
# dump does not return a value
# dumps is pretty simple

# astype
reveal_type(nd.astype("float"))  # E: ndarray[Any, dtype[Any]]
reveal_type(nd.astype(float))  # E: ndarray[Any, dtype[Any]]
reveal_type(nd.astype(np.float64))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(nd.astype(np.float64, "K"))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(nd.astype(np.float64, "K", "unsafe"))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(nd.astype(np.float64, "K", "unsafe", True))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(nd.astype(np.float64, "K", "unsafe", True, True))  # E: ndarray[Any, dtype[{float64}]]

# byteswap
reveal_type(nd.byteswap())  # E: ndarray[Any, dtype[{int_}]]
reveal_type(nd.byteswap(True))  # E: ndarray[Any, dtype[{int_}]]

# copy
reveal_type(nd.copy())  # E: ndarray[Any, dtype[{int_}]]
reveal_type(nd.copy("C"))  # E: ndarray[Any, dtype[{int_}]]

reveal_type(nd.view())  # E: ndarray[Any, dtype[{int_}]]
reveal_type(nd.view(np.float64))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(nd.view(float))  # E: ndarray[Any, dtype[Any]]
reveal_type(nd.view(np.float64, np.matrix))  # E: matrix[Any, Any]

# getfield
reveal_type(nd.getfield("float"))  # E: ndarray[Any, dtype[Any]]
reveal_type(nd.getfield(float))  # E: ndarray[Any, dtype[Any]]
reveal_type(nd.getfield(np.float64))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(nd.getfield(np.float64, 8))  # E: ndarray[Any, dtype[{float64}]]

# setflags does not return a value
# fill does not return a value

[-] 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]