diff --git a/tests/test_util.py b/tests/test_util.py
deleted file mode 100644
index c07a72f1..00000000
--- a/tests/test_util.py
+++ /dev/null
@@ -1,171 +0,0 @@
-from __future__ import annotations
-
-import os
-from unittest.mock import Mock
-
-import numpy as np
-import pytest
-
-from util import crop_frame
-from util import get_song_metadata_remote
-from util import L_TEMPLATE
-from util import map_position_to_dd_x
-from util import match_template
-from util import R_TEMPLATE
-
-
-@pytest.mark.parametrize(
-    'image, template, threshold, expected_result',
-    [
-        (
-            np.array(L_TEMPLATE),
-            np.array(L_TEMPLATE),
-            0.8,
-            (0, 0, 60, 30),
-        ),
-        (
-            np.array(L_TEMPLATE),
-            np.array(R_TEMPLATE),
-            0.8,
-            None,
-        ),
-    ],
-)
-def test_match_template(image, template, threshold, expected_result):
-    result = match_template(image, template, threshold)
-    assert result == expected_result
-
-
-@pytest.mark.parametrize(
-    'input_number, expected_output', [
-        (30, 1),  # Below minimum
-        (31, 1),  # Minimum value
-        (100, 2),  # Somewhere in between
-        (155, 3),  # Somewhere in between
-        (522, 9),  # Maximum value
-        (523, 9),  # Above maximum
-    ],
-)
-def test_map_position_to_dd_x(input_number, expected_output):
-    result = map_position_to_dd_x(input_number)
-    assert result == expected_output
-
-
-def test_get_song_metadata_remote_remote_data(mocker):
-    mocker.patch.dict(os.environ, {'REMOTE_DATA': 'True'})
-    mock_requests_get = mocker.patch('requests.get')
-
-    response_mock = Mock()
-    response_mock.json.return_value = _SAMPLE_DRS_JSON_DATA
-    mock_requests_get.return_value = response_mock
-
-    result = get_song_metadata_remote('1')
-
-    assert result is not None
-    assert result.songId == '1'
-    assert result.title == 'Song 1'
-
-
-_SAMPLE_DRS_JSON_DATA = {
-    'songs': [
-        {
-            'songId': '1',
-            'title': 'Song 1',
-            'category': 'Category 1',
-            'artist': 'Artist 1',
-            'bpm': 120,
-            'imageName': 'song1.jpg',
-        },
-        {
-            'songId': '2',
-            'title': 'Song 2',
-            'category': 'Category 2',
-            'artist': 'Artist 2',
-            'bpm': 140,
-            'imageName': 'song2.jpg',
-        },
-    ],
-}
-
-
-def test_get_song_metadata_remote_local_data(mocker):
-    mocker.patch.dict(os.environ, {'REMOTE_DATA': 'False'})
-
-    result = get_song_metadata_remote('50th Memorial Songs -Beginning Story-')
-
-    assert result is not None
-    assert result.songId == '50th Memorial Songs -Beginning Story-'
-    assert result.title == '50th Memorial Songs -Beginning Story-'
-
-
-def test_get_song_metadata_remote_song_id_none(mocker):
-    mocker.patch.dict(os.environ, {'REMOTE_DATA': 'False'})
-
-    result = get_song_metadata_remote('does not exist')
-
-    assert result is None
-
-
-_TEST_FRAME = np.array(
-    [
-        [1, 2, 3, 4, 5],
-        [6, 7, 8, 9, 10],
-        [11, 12, 13, 14, 15],
-        [16, 17, 18, 19, 20],
-        [21, 22, 23, 24, 25],
-    ],
-)
-
-
-@pytest.mark.parametrize(
-    'x, y, width, height, expected_result', [
-        (
-            1, 1, 3, 3, np.array(
-                [
-                    [7, 8, 9],
-                    [12, 13, 14],
-                    [17, 18, 19],
-                ],
-            ),
-        ),
-        (
-            0, 0, 2, 2, np.array(
-                [
-                    [1, 2],
-                    [6, 7],
-                ],
-            ),
-        ),
-        (
-            2, 2, 2, 2, np.array(
-                [
-                    [13, 14],
-                    [18, 19],
-                ],
-            ),
-        ),
-        (
-            3, 3, 3, 3, np.array(
-                [
-                    [19, 20],
-                    [24, 25],
-                ],
-            ),
-        ),
-    ],
-)
-def test_crop_frame(x, y, width, height, expected_result):
-    result = crop_frame(_TEST_FRAME, x, y, width, height)
-    np.testing.assert_array_equal(result, expected_result)
-
-
-def test_find_l():
-    assert True  # todo
-
-
-def test_find_r():
-    assert True  # todo
-
-
-def test_find_stage():
-    assert True  # todo