dev(narugo): add unittest for booru_yolo

    return bboxes

@deprecated(deprecated_in="0.2.10", removed_in="0.5", current_version=__VERSION__,

@deprecated(deprecated_in="0.2.10", current_version=__VERSION__,

            details="Use the new function :func:`imgutils.ocr.detect_text_with_ocr` instead")

def detect_text(image: ImageTyping, model: str = _DEFAULT_MODEL, threshold: float = 0.05,

                max_area_size: Optional[int] = 640):

import pytest

from PIL import Image

from imgutils.detect import detect_with_booru_yolo

from imgutils.detect.booru_yolo import _open_booru_yolo_model, _get_booru_yolo_labels

from ..testings import get_testfile

@pytest.fixture(scope='module', autouse=True)

def _release_model_after_run():

    try:

        yield

    finally:

        _open_booru_yolo_model.cache_clear()

        _get_booru_yolo_labels.cache_clear()

@pytest.fixture()

def nude_girl_file():

    return get_testfile('nude_girl.png')

@pytest.fixture()

def nude_girl_image(nude_girl_file):

    return Image.open(nude_girl_file)

@pytest.fixture()

def nude_girl_detection():

    return [

        ((236, 1, 452, 247), 'head', 0.9584360718727112),

        ((211, 236, 431, 346), 'boob', 0.9300149083137512),

        ((62, 402, 427, 697), 'sprd', 0.8708215951919556)

    ]

@pytest.mark.unittest

class TestDetectBooruYOLO:

    def test_detect_with_booru_yolo_file(self, nude_girl_file, nude_girl_detection):

        detection = detect_with_booru_yolo(nude_girl_file)

        assert [label for _, label, _ in detection] == \

               [label for _, label, _ in nude_girl_detection]

        for (actual_box, _, _), (expected_box, _, _) in zip(detection, nude_girl_detection):

            assert actual_box == pytest.approx(expected_box)

        assert [score for _, _, score in detection] == \

               pytest.approx([score for _, _, score in nude_girl_detection], abs=1e-4)

    def test_detect_with_booru_yolo_image(self, nude_girl_image, nude_girl_detection):

        detection = detect_with_booru_yolo(nude_girl_image)

        assert [label for _, label, _ in detection] == \

               [label for _, label, _ in nude_girl_detection]

        for (actual_box, _, _), (expected_box, _, _) in zip(detection, nude_girl_detection):

            assert actual_box == pytest.approx(expected_box)

        assert [score for _, _, score in detection] == \

               pytest.approx([score for _, _, score in nude_girl_detection], abs=1e-4)