AndroidRemoteController/python/opencv/numpy/typing/tests/data/pass/recfunctions.py

"""These tests are based on the doctests from `numpy/lib/recfunctions.py`."""

from typing import Any
from typing_extensions import assert_type

import numpy as np
import numpy.typing as npt
from numpy.lib import recfunctions as rfn


def test_recursive_fill_fields() -> None:
    a: npt.NDArray[np.void] = np.array(
        [(1, 10.0), (2, 20.0)],
        dtype=[("A", np.int64), ("B", np.float64)],
    )
    b = np.zeros((int(3),), dtype=a.dtype)
    out = rfn.recursive_fill_fields(a, b)
    assert_type(out, np.ndarray[tuple[int], np.dtype[np.void]])


def test_get_names() -> None:
    names: tuple[str | Any, ...]
    names = rfn.get_names(np.empty((1,), dtype=[("A", int)]).dtype)
    names = rfn.get_names(np.empty((1,), dtype=[("A", int), ("B", float)]).dtype)

    adtype = np.dtype([("a", int), ("b", [("b_a", int), ("b_b", int)])])
    names = rfn.get_names(adtype)


def test_get_names_flat() -> None:
    names: tuple[str, ...]
    names = rfn.get_names_flat(np.empty((1,), dtype=[("A", int)]).dtype)
    names = rfn.get_names_flat(np.empty((1,), dtype=[("A", int), ("B", float)]).dtype)

    adtype = np.dtype([("a", int), ("b", [("b_a", int), ("b_b", int)])])
    names = rfn.get_names_flat(adtype)


def test_flatten_descr() -> None:
    ndtype = np.dtype([("a", "<i4"), ("b", [("b_a", "<f8"), ("b_b", "<i4")])])
    assert_type(rfn.flatten_descr(ndtype), tuple[tuple[str, np.dtype[Any]]])


def test_get_fieldstructure() -> None:
    ndtype = np.dtype([
        ("A", int),
        ("B", [("B_A", int), ("B_B", [("B_B_A", int), ("B_B_B", int)])]),
    ])
    assert_type(rfn.get_fieldstructure(ndtype), dict[str, list[str]])


def test_merge_arrays() -> None:
    assert_type(
        rfn.merge_arrays((
            np.ones((int(2),), np.int_),
            np.ones((int(3),), np.float64),
        )),
        np.recarray[tuple[int], np.dtype[np.void]],
    )


def test_drop_fields() -> None:
    ndtype = [("a", np.int64), ("b", [("b_a", np.double), ("b_b", np.int64)])]
    a = np.ones((int(3),), dtype=ndtype)

    assert_type(
        rfn.drop_fields(a, "a"),
        np.ndarray[tuple[int], np.dtype[np.void]],
    )
    assert_type(
        rfn.drop_fields(a, "a", asrecarray=True),
        np.rec.recarray[tuple[int], np.dtype[np.void]],
    )
    assert_type(
        rfn.rec_drop_fields(a, "a"),
        np.rec.recarray[tuple[int], np.dtype[np.void]],
    )


def test_rename_fields() -> None:
    ndtype = [("a", np.int64), ("b", [("b_a", np.double), ("b_b", np.int64)])]
    a = np.ones((int(3),), dtype=ndtype)

    assert_type(
        rfn.rename_fields(a, {"a": "A", "b_b": "B_B"}),
        np.ndarray[tuple[int], np.dtype[np.void]],
    )


def test_repack_fields() -> None:
    dt: np.dtype[np.void] = np.dtype("u1, <i8, <f8", align=True)

    assert_type(rfn.repack_fields(dt), np.dtype[np.void])
    assert_type(rfn.repack_fields(dt.type(0)), np.void)
    assert_type(
        rfn.repack_fields(np.ones((int(3),), dtype=dt)),
        np.ndarray[tuple[int], np.dtype[np.void]],
    )


def test_structured_to_unstructured() -> None:
    a = np.zeros(4, dtype=[("a", "i4"), ("b", "f4,u2"), ("c", "f4", 2)])
    assert_type(rfn.structured_to_unstructured(a), npt.NDArray[Any])


def unstructured_to_structured() -> None:
    dt: np.dtype[np.void] = np.dtype([("a", "i4"), ("b", "f4,u2"), ("c", "f4", 2)])
    a = np.arange(20, dtype=np.int32).reshape((4, 5))
    assert_type(rfn.unstructured_to_structured(a, dt), npt.NDArray[np.void])


def test_apply_along_fields() -> None:
    b = np.ones(4, dtype=[("x", "i4"), ("y", "f4"), ("z", "f8")])
    assert_type(
        rfn.apply_along_fields(np.mean, b),
        np.ndarray[tuple[int], np.dtype[np.void]],
    )


def test_assign_fields_by_name() -> None:
    b = np.ones(4, dtype=[("x", "i4"), ("y", "f4"), ("z", "f8")])
    assert_type(
        rfn.apply_along_fields(np.mean, b),
        np.ndarray[tuple[int], np.dtype[np.void]],
    )


def test_require_fields() -> None:
    a = np.ones(4, dtype=[("a", "i4"), ("b", "f8"), ("c", "u1")])
    assert_type(
        rfn.require_fields(a, [("b", "f4"), ("c", "u1")]),
        np.ndarray[tuple[int], np.dtype[np.void]],
    )


def test_stack_arrays() -> None:
    x = np.zeros((int(2),), np.int32)
    assert_type(
        rfn.stack_arrays(x),
        np.ndarray[tuple[int], np.dtype[np.int32]],
    )

    z = np.ones((int(2),), [("A", "|S3"), ("B", float)])
    zz = np.ones((int(2),), [("A", "|S3"), ("B", np.float64), ("C", np.float64)])
    assert_type(
        rfn.stack_arrays((z, zz)),
        np.ma.MaskedArray[tuple[int, ...], np.dtype[np.void]],
    )


def test_find_duplicates() -> None:
    ndtype = np.dtype([("a", int)])

    a = np.ma.ones(7, mask=[0, 0, 1, 0, 0, 0, 1]).view(ndtype)
    assert_type(rfn.find_duplicates(a), np.ma.MaskedArray[Any, np.dtype[np.void]])
    assert_type(
        rfn.find_duplicates(a, ignoremask=True, return_index=True),
        tuple[
            np.ma.MaskedArray[Any, np.dtype[np.void]],
            np.ndarray[Any, np.dtype[np.int_]],
        ],
    )