dev(narugo): add higher coverge

def _get_int_from_interpolation_mode(value):

    from torchvision.transforms import InterpolationMode

    if not isinstance(value, InterpolationMode):

        raise TypeError(f'Unknown type of interpolation mode, cannot be transformed to int - {value!r}')

        raise TypeError(

            f'Unknown type of interpolation mode, cannot be transformed to int - {value!r}')  # pragma: no cover

    _INTERMODE_TO_INT = {

        InterpolationMode.NEAREST: 0,

            grid_transparent(expected_image),

            throw_exception=False

        ) < 1e-2

    def test_pad_to_size_error(self):

        with pytest.raises(TypeError):

            PillowPadToSize((512, 512))(np.random.randn(1, 3, 384, 384))

from typing import Union, Tuple

from unittest import skipUnless

import numpy as np

import pytest

from PIL import Image

from hbutils.testing import tmatrix

from imgutils.data import load_image, grid_transparent

from imgutils.preprocess import NotParseTarget, create_pillow_transforms

from imgutils.preprocess.torchvision import _get_interpolation_mode, create_torchvision_transforms, \

    parse_torchvision_transforms, register_torchvision_transform, register_torchvision_parse

    parse_torchvision_transforms, register_torchvision_transform, register_torchvision_parse, PadToSize

from test.testings import get_testfile

try:

    ])

    def test_pad_to_size_repr_text(self, json_, repr_text):

        assert repr(create_torchvision_transforms(json_)) == repr_text

    def test_pad_to_size_error(self):

        with pytest.raises(TypeError):

            PadToSize((512, 512))(np.random.randn(1, 3, 384, 384))