ꦫꦣꦺꦤ꧀ꦄꦤ꧀ꦠꦱꦺꦤ

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

from __future__ import annotations
from typing import Any
import numpy as np

class Object:
    def __ceil__(self) -> Object:
        return self

def __floor__(self) -> Object:
        return self

def __ge__(self, value: object) -> bool:
        return True

def __array__(self) -> np.ndarray[Any, np.dtype[np.object_]]:
        ret = np.empty((), dtype=object)
        ret[()] = self
        return ret

AR_LIKE_b = [True, True, False]
AR_LIKE_u = [np.uint32(1), np.uint32(2), np.uint32(3)]
AR_LIKE_i = [1, 2, 3]
AR_LIKE_f = [1.0, 2.0, 3.0]
AR_LIKE_O = [Object(), Object(), Object()]
AR_U: np.ndarray[Any, np.dtype[np.str_]] = np.zeros(3, dtype="U5")

np.fix(AR_LIKE_b)
np.fix(AR_LIKE_u)
np.fix(AR_LIKE_i)
np.fix(AR_LIKE_f)
np.fix(AR_LIKE_O)
np.fix(AR_LIKE_f, out=AR_U)

np.isposinf(AR_LIKE_b)
np.isposinf(AR_LIKE_u)
np.isposinf(AR_LIKE_i)
np.isposinf(AR_LIKE_f)
np.isposinf(AR_LIKE_f, out=AR_U)

np.isneginf(AR_LIKE_b)
np.isneginf(AR_LIKE_u)
np.isneginf(AR_LIKE_i)
np.isneginf(AR_LIKE_f)
np.isneginf(AR_LIKE_f, out=AR_U)

[-] dtype.py [open]
[-] ndarray_misc.py [open]
[+] ..
[-] multiarray.py [open]
[-] literal.py [open]
[-] arrayprint.py [open]
[-] index_tricks.py [open]
[+] __pycache__
[-] arrayterator.py [open]
[-] lib_utils.py [open]
[-] ufunc_config.py [open]
[-] flatiter.py [open]
[-] fromnumeric.py [open]
[-] array_like.py [open]
[-] random.py [open]
[-] ufuncs.py [open]
[-] simple_py3.py [open]
[-] mod.py [open]
[-] einsumfunc.py [open]
[-] arithmetic.py [open]
[-] ufunclike.py [open]
[-] numerictypes.py [open]
[-] warnings_and_errors.py [open]
[-] array_constructors.py [open]
[-] bitwise_ops.py [open]
[-] numeric.py [open]
[-] modules.py [open]
[-] simple.py [open]
[-] scalars.py [open]
[-] ndarray_shape_manipulation.py [open]
[-] comparisons.py [open]
[-] lib_version.py [open]
[-] ndarray_conversion.py [open]