ꦫꦣꦺꦤ꧀ꦄꦤ꧀ꦠꦱꦺꦤ

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

import numpy as np

nditer_obj: np.nditer

reveal_type(np.nditer([0, 1], flags=["c_index"]))  # E: nditer
reveal_type(np.nditer([0, 1], op_flags=[["readonly", "readonly"]]))  # E: nditer
reveal_type(np.nditer([0, 1], op_dtypes=np.int_))  # E: nditer
reveal_type(np.nditer([0, 1], order="C", casting="no"))  # E: nditer

reveal_type(nditer_obj.dtypes)  # E: tuple[dtype[Any], ...]
reveal_type(nditer_obj.finished)  # E: bool
reveal_type(nditer_obj.has_delayed_bufalloc)  # E: bool
reveal_type(nditer_obj.has_index)  # E: bool
reveal_type(nditer_obj.has_multi_index)  # E: bool
reveal_type(nditer_obj.index)  # E: int
reveal_type(nditer_obj.iterationneedsapi)  # E: bool
reveal_type(nditer_obj.iterindex)  # E: int
reveal_type(nditer_obj.iterrange)  # E: tuple[builtins.int, ...]
reveal_type(nditer_obj.itersize)  # E: int
reveal_type(nditer_obj.itviews)  # E: tuple[ndarray[Any, dtype[Any]], ...]
reveal_type(nditer_obj.multi_index)  # E: tuple[builtins.int, ...]
reveal_type(nditer_obj.ndim)  # E: int
reveal_type(nditer_obj.nop)  # E: int
reveal_type(nditer_obj.operands)  # E: tuple[ndarray[Any, dtype[Any]], ...]
reveal_type(nditer_obj.shape)  # E: tuple[builtins.int, ...]
reveal_type(nditer_obj.value)  # E: tuple[ndarray[Any, dtype[Any]], ...]

reveal_type(nditer_obj.close())  # E: None
reveal_type(nditer_obj.copy())  # E: nditer
reveal_type(nditer_obj.debug_print())  # E: None
reveal_type(nditer_obj.enable_external_loop())  # E: None
reveal_type(nditer_obj.iternext())  # E: bool
reveal_type(nditer_obj.remove_axis(0))  # E: None
reveal_type(nditer_obj.remove_multi_index())  # E: None
reveal_type(nditer_obj.reset())  # E: None

reveal_type(len(nditer_obj))  # E: int
reveal_type(iter(nditer_obj))  # E: nditer
reveal_type(next(nditer_obj))  # E: tuple[ndarray[Any, dtype[Any]], ...]
reveal_type(nditer_obj.__copy__())  # E: nditer
with nditer_obj as f:
    reveal_type(f)  # E: nditer
reveal_type(nditer_obj[0])  # E: ndarray[Any, dtype[Any]]
reveal_type(nditer_obj[:])  # E: tuple[ndarray[Any, dtype[Any]], ...]
nditer_obj[0] = 0
nditer_obj[:] = [0, 1]

[-] 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]