dev(narugo): add unittest

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

                max_area_size: Optional[int] = 1200):

                max_area_size: Optional[int] = 640):

    """

    Detect text regions in the given image using the specified model and threshold.

    :type model: str

    :param threshold: Confidence threshold for text detection.

    :type threshold: float

    :param max_area_size: Max area size when doing inference. Default is ``1200``, which means if

        the image's area is over 1200x1200, it will be resized. When assigned to ``None``,

    :param max_area_size: Max area size when doing inference. Default is ``640``, which means if

        the image's area is over 640x640, it will be resized. When assigned to ``None``,

        it means do not resize in any case.

    :type max_area_size: Optional[int]

    :return: List of detected text bounding boxes, labels, and scores.

    for (x0, y0, x1, y1), score in _get_bounding_box_of_text(image, model, threshold):

        x0, y0, x1, y1 = int(x0 * r), int(y0 * r), int(x1 * r), int(y1 * r)

        bboxes.append(((x0, y0, x1, y1), 'text', score))

    bboxes = sorted(bboxes, key=lambda x: x[2], reverse=True)

    return bboxes

import pytest

from imgutils.detect.text import _open_text_detect_model, detect_text

from test.testings import get_testfile

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

def _release_model_after_run():

    try:

        yield

    finally:

        _open_text_detect_model.cache_clear()

@pytest.mark.unittest

class TestDetectText:

    def test_detect_text(self):

        detections = detect_text(get_testfile('ml1.png'))

        assert len(detections) == 4

        values = []

        for bbox, label, score in detections:

            assert label in {'text'}

            values.append((bbox, int(score * 1000) / 1000))

        assert values == pytest.approx([

            ((866, 45, 959, 69), 0.543),

            ((222, 68, 313, 102), 0.543),

            ((424, 82, 508, 113), 0.541),

            ((691, 101, 776, 129), 0.471)

        ])

    def test_detect_text_without_resize(self):

        detections = detect_text(get_testfile('ml2.jpg'), max_area_size=None)

        assert len(detections) == 9

        values = []

        for bbox, label, score in detections:

            assert label in {'text'}

            values.append((bbox, int(score * 1000) / 1000))

        assert values == pytest.approx([

            ((360, 218, 474, 250), 0.686), ((119, 218, 203, 240), 0.653), ((392, 47, 466, 76), 0.617),

            ((593, 174, 666, 204), 0.616), ((179, 451, 672, 472), 0.591), ((633, 314, 747, 337), 0.59),

            ((392, 369, 517, 386), 0.589), ((621, 81, 681, 102), 0.566), ((209, 92, 281, 122), 0.423),

        ])

    def test_detect_text_none(self):

        assert detect_text(get_testfile('png_full.png')) == []