ꦫꦣꦺꦤ꧀ꦄꦤ꧀ꦠꦱꦺꦤ

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

import numpy as np

dtype_obj = np.dtype(np.str_)
void_dtype_obj = np.dtype([("f0", np.float64), ("f1", np.float32)])

np.dtype(dtype=np.int64)
np.dtype(int)
np.dtype("int")
np.dtype(None)

np.dtype((int, 2))
np.dtype((int, (1,)))

np.dtype({"names": ["a", "b"], "formats": [int, float]})
np.dtype({"names": ["a"], "formats": [int], "titles": [object]})
np.dtype({"names": ["a"], "formats": [int], "titles": [object()]})

np.dtype([("name", np.str_, 16), ("grades", np.float64, (2,)), ("age", "int32")])

np.dtype(
    {
        "names": ["a", "b"],
        "formats": [int, float],
        "itemsize": 9,
        "aligned": False,
        "titles": ["x", "y"],
        "offsets": [0, 1],
    }
)

np.dtype((np.float_, float))

class Test:
    dtype = np.dtype(float)

np.dtype(Test())

# Methods and attributes
dtype_obj.base
dtype_obj.subdtype
dtype_obj.newbyteorder()
dtype_obj.type
dtype_obj.name
dtype_obj.names

dtype_obj * 0
dtype_obj * 2

0 * dtype_obj
2 * dtype_obj

void_dtype_obj["f0"]
void_dtype_obj[0]
void_dtype_obj[["f0", "f1"]]
void_dtype_obj[["f0"]]

[-] 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]