Repository: aeye-lab/pymovements
Pull request #223 (2023-03-01 15:16:58)

License: Update year
The `insert-license` pre-commit hook gets confused by the year range in the license file.

Previously this lead to the year `2023-2023` for new files.

Now files that are created this year will get `2023` in the license header.
Files created last year but modified this year will get `2022-2023` in the license header.


Patch:
diff --git a/LICENSE.txt b/LICENSE.txt
index 6816e00..caf0198 100644
--- a/LICENSE.txt
+++ b/LICENSE.txt
@@ -1,4 +1,4 @@
-Copyright (c) 2022-2023 The pymovements Project Authors
+Copyright (c) 2022 The pymovements Project Authors
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
diff --git a/README.md b/README.md
index f4406c6..97aa4c7 100644
--- a/README.md
+++ b/README.md
@@ -66,6 +66,7 @@ cloned and installed with
 
 ```bash
 git clone https://github.com/aeye-lab/pymovements.git
+pip install --upgrade pip
 pip install -e ./pymovements
 ```
 
diff --git a/src/pymovements/datasets/dataset.py b/src/pymovements/datasets/dataset.py
index d3da437..5c91ed3 100644
--- a/src/pymovements/datasets/dataset.py
+++ b/src/pymovements/datasets/dataset.py
@@ -311,7 +311,8 @@ class Dataset:
         gaze_dfs: list[pl.DataFrame] = []
 
         # Read gaze files from fileinfo attribute.
-        for file_id, filepath in enumerate(tqdm(self.fileinfo['filepath'])):
+        for fileinfo in tqdm(self.fileinfo.to_dicts()):
+            filepath = Path(fileinfo['filepath'])
             filepath = self.raw_rootpath / filepath
 
             if preprocessed:
@@ -327,21 +328,7 @@ class Dataset:
                 raise RuntimeError(f'data files of type {filepath.suffix} are not supported')
 
             # Add fileinfo columns to dataframe.
-            for column in self.fileinfo.columns[::-1]:
-                if column == 'filepath':
-                    continue
-
-                column_value = self.fileinfo.select(column)[file_id][0, 0]
-                gaze_df = gaze_df.select([
-                    pl.lit(column_value).alias(column),
-                    pl.all(),
-                ])
-
-            # Cast columns from fileinfo according to specification.
-            gaze_df = gaze_df.with_columns([
-                pl.col(fileinfo_key).cast(fileinfo_dtype)
-                for fileinfo_key, fileinfo_dtype in self._filename_regex_dtypes.items()
-            ])
+            gaze_df = self._add_fileinfo(gaze_df, fileinfo)
 
             gaze_dfs.append(gaze_df)
 
@@ -370,19 +357,22 @@ class Dataset:
         """
         self._check_fileinfo()
 
-        file_dfs: list[pl.DataFrame] = []
+        event_dfs: list[pl.DataFrame] = []
 
         # read and preprocess input files
-        for _, filepath in enumerate(tqdm(self.fileinfo['filepath'])):
-            filepath = self.raw_rootpath / Path(filepath)
+        for fileinfo in tqdm(self.fileinfo.to_dicts()):
+            filepath = Path(fileinfo['filepath'])
+            filepath = self.raw_rootpath / filepath
 
             filepath = self._raw_to_event_filepath(filepath, events_dirname=events_dirname)
+            event_df = pl.read_ipc(filepath)
 
-            file_df = pl.read_ipc(filepath)
+            # Add fileinfo columns to dataframe.
+            event_df = self._add_fileinfo(event_df, fileinfo)
 
-            file_dfs.append(file_df)
+            event_dfs.append(event_df)
 
-        return file_dfs
+        return event_dfs
 
     def pix2deg(self, verbose: bool = True) -> None:
         """Compute gaze positions in degrees of visual angle from pixel coordinates.
@@ -520,13 +510,17 @@ class Dataset:
 
         event_dfs: list[pl.DataFrame] = []
 
-        for gaze_df in tqdm(self.gaze, disable=disable_progressbar):
+        for gaze_df, fileinfo in tqdm(
+                zip(self.gaze, self.fileinfo.to_dicts()), disable=disable_progressbar,
+        ):
 
             positions = gaze_df.select(position_columns).to_numpy()
             velocities = gaze_df.select(velocity_columns).to_numpy()
 
-            events = method(positions=positions, velocities=velocities, **kwargs)
-            event_dfs.append(events)
+            event_df = method(positions=positions, velocities=velocities, **kwargs)
+            event_df = self._add_fileinfo(event_df, fileinfo)
+
+            event_dfs.append(event_df)
 
         if not self.events or clear:
             self.events = event_dfs
@@ -860,3 +854,34 @@ class Dataset:
         events_filename = raw_filepath.stem + '.feather'
 
         return events_file_dirpath / events_filename
+
+    def _add_fileinfo(self, df: pl.DataFrame, fileinfo: dict[str, Any]) -> pl.DataFrame:
+        """Add columns from fileinfo to dataframe.
+
+        Parameters
+        ----------
+        df : pl.DataFrame
+            Base dataframe to add fileinfo to.
+        fileinfo : dict[str, Any]
+            Dictionary of fileinfo row.
+
+        Returns
+        -------
+        pl.DataFrame:
+            Dataframe with added columns from fileinfo dictionary keys.
+        """
+
+        df = df.select(
+            [
+                pl.lit(value).alias(column)
+                for column, value in fileinfo.items()
+                if column != 'filepath'
+            ] + [pl.all()],
+        )
+
+        # Cast columns from fileinfo according to specification.
+        df = df.with_columns([
+            pl.col(fileinfo_key).cast(fileinfo_dtype)
+            for fileinfo_key, fileinfo_dtype in self._filename_regex_dtypes.items()
+        ])
+        return df
diff --git a/src/pymovements/transforms.py b/src/pymovements/transforms.py
index f9c5e49..91b6f5e 100644
--- a/src/pymovements/transforms.py
+++ b/src/pymovements/transforms.py
@@ -87,6 +87,22 @@ def pix2deg(
     ...    origin='center',
     ... )
     array([[ 3.07379946, 20.43909054]])
+
+    If the eye-movement of both eyes was recorded, the input array must contain
+    first the x- and y-coordinates of one eye and then the x- and y-coordinates
+    of the other eye as shown in the example below.
+
+    >>> x_left, y_left = 123.0, 865.0
+    >>> x_right, y_right = 183.0, 865.0
+    >>> arr = [(x_left, y_left, x_right, y_right)]
+    >>> pix2deg(
+    ...    arr=arr,
+    ...    screen_px=(1280, 1024),
+    ...    screen_cm=(38.0, 30.0),
+    ...    distance_cm=68.0,
+    ...    origin='center',
+    ... )
+    array([[ 3.07379946, 20.43909054,  4.56790364, 20.43909054]])
     """
     if arr is None:
         raise TypeError('arr must not be None')
@@ -291,6 +307,12 @@ def norm(arr: np.ndarray, axis: int | None = None) -> np.ndarray | Any:
     -------
     np.ndarray
 
+    Raises
+    ------
+    ValueError
+        If no axis is given but the array dimensions are lager than 3.
+        In that case the axis cannot be inferred.
+
     Examples
     --------
     >>> arr = np.array([[1., 1., 1., 1., 1., 1.], [1., 1., 1., 1., 1., 1.]])
@@ -309,6 +331,14 @@ def norm(arr: np.ndarray, axis: int | None = None) -> np.ndarray | Any:
         elif arr.ndim == 3:
             axis = 1
 
+        else:
+            raise ValueError(
+                f'Axis can not be inferred in case of more than 3 '
+                f'input array dimensions (arr.shape={arr.shape}).'
+                f' Either reduce the number of input array '
+                f'dimensions or specify `axis` explicitly.',
+            )
+
     return np.linalg.norm(arr, axis=axis)
 
 
diff --git a/src/pymovements/utils/downloads.py b/src/pymovements/utils/downloads.py
index 4e40dc7..dbb6c2c 100644
--- a/src/pymovements/utils/downloads.py
+++ b/src/pymovements/utils/downloads.py
@@ -34,13 +34,13 @@ USER_AGENT: str = 'aeye-lab/pymovements'
 
 
 def download_and_extract_archive(
-    url: str,
-    download_dirpath: Path,
-    download_filename: str,
-    extract_dirpath: Path | None = None,
-    md5: str | None = None,
-    recursive: bool = True,
-    remove_finished: bool = False,
+        url: str,
+        download_dirpath: Path,
+        download_filename: str,
+        extract_dirpath: Path | None = None,
+        md5: str | None = None,
+        recursive: bool = True,
+        remove_finished: bool = False,
 ) -> None:
     """Download and extract archive file.
 
@@ -87,11 +87,11 @@ def download_and_extract_archive(
 
 
 def download_file(
-    url: str,
-    dirpath: Path,
-    filename: str,
-    md5: str | None = None,
-    max_redirect_hops: int = 3,
+        url: str,
+        dirpath: Path,
+        filename: str,
+        md5: str | None = None,
+        max_redirect_hops: int = 3,
 ) -> Path:
     """Download a file from a URL and place it in root.
 
@@ -153,10 +153,7 @@ def download_file(
     return filepath
 
 
-def _get_redirected_url(
-    url: str,
-    max_hops: int = 3,
-) -> str:
+def _get_redirected_url(url: str, max_hops: int = 3) -> str:
     """Get redirected URL.
 
     Parameters
@@ -215,10 +212,7 @@ class _DownloadProgressBar(tqdm):
         return self.update(b * bsize - self.n)  # also sets self.n = b * bsize
 
 
-def _download_url(
-    url: str,
-    destination: Path,
-):
+def _download_url(url: str, destination: Path):
     """Download file from URL and save to destination.
 
     Parameters
@@ -233,10 +227,7 @@ def _download_url(
         t.total = t.n
 
 
-def _check_integrity(
-    filepath: Path,
-    md5: str | None = None,
-) -> bool:
+def _check_integrity(filepath: Path, md5: str | None = None) -> bool:
     """Check file integrity by MD5 checksum.
 
     Parameters
@@ -261,10 +252,7 @@ def _check_integrity(
     return file_md5 == md5
 
 
-def _calculate_md5(
-    filepath: Path,
-    chunk_size: int = 1024 * 1024,
-) -> str:
+def _calculate_md5(filepath: Path, chunk_size: int = 1024 * 1024) -> str:
     """Calculate MD5 checksum.
 
     Parameters


Test patch:
diff --git a/tests/datasets/test_dataset.py b/tests/datasets/test_dataset.py
index e964177..2898d9d 100644
--- a/tests/datasets/test_dataset.py
+++ b/tests/datasets/test_dataset.py
@@ -157,11 +157,12 @@ def mock_toy(rootpath, raw_fileformat='csv'):
     for fileinfo_row in fileinfo.to_dicts():
         event_df = pl.from_dict(
             {
+                'subject_id': fileinfo_row['subject_id'],
                 'type': 'saccade',
                 'onset': np.arange(0, 901, 100),
                 'offset': np.arange(10, 911, 100),
             },
-            schema={'type': pl.Utf8, 'onset': pl.Int64, 'offset': pl.Int64},
+            schema={'subject_id': pl.Int64, 'type': pl.Utf8, 'onset': pl.Int64, 'offset': pl.Int64},
         )
         event_dfs.append(event_df)
 
@@ -417,8 +418,9 @@ def test_detect_events(detect_event_kwargs, dataset_configuration):
     dataset.pos2vel()
     dataset.detect_events(**detect_event_kwargs)
 
+    expected_schema = {'subject_id': pl.Int64, **Saccade.schema}
     for result_event_df in dataset.events:
-        assert result_event_df.schema == Saccade.schema
+        assert result_event_df.schema == expected_schema
 
 
 @pytest.mark.parametrize(
@@ -435,7 +437,7 @@ def test_detect_events(detect_event_kwargs, dataset_configuration):
                 'threshold': 1,
                 'eye': 'auto',
             },
-            Saccade.schema,
+            {'subject_id': pl.Int64, **Saccade.schema},
             id='two-saccade-runs',
         ),
         pytest.param(
@@ -449,7 +451,7 @@ def test_detect_events(detect_event_kwargs, dataset_configuration):
                 'velocity_threshold': 1,
                 'minimum_duration': 1,
             },
-            {**Saccade.schema, **Fixation.schema},
+            {'subject_id': pl.Int64, **Saccade.schema, **Fixation.schema},
             id='one-saccade-one-fixation-run',
         ),
     ],
diff --git a/tests/events/test_engbert.py b/tests/events/test_engbert.py
index 8786039..ecd5d67 100644
--- a/tests/events/test_engbert.py
+++ b/tests/events/test_engbert.py
@@ -169,6 +169,20 @@ def test_microsaccades_raises_error(kwargs, expected):
             ),
             id='three_saccades_nan_delete_ending_leading_nan',
         ),
+        pytest.param(
+            {
+                'positions': step_function(length=100, steps=[0], values=[(0, 0)]),
+                'velocities': step_function(
+                    length=100,
+                    steps=[40, 50],
+                    values=[(9, 9), (0, 0)],
+                    start_value=(0, 0),
+                ),
+                'threshold': 'std',
+            },
+            pl.DataFrame(schema=Saccade.schema),
+            id='string_based_threshold',
+        ),
     ],
 )
 def test_microsaccades_detects_saccades(kwargs, expected):
@@ -215,7 +229,6 @@ def test_compute_threshold(params, expected):
     if 'exception' in expected:
         with pytest.raises(expected['exception']):
             compute_threshold(arr=v, **params)
-        return
-
-    result = compute_threshold(arr=v, **params)
-    assert np.allclose(result, expected['value'])
+    else:
+        result = compute_threshold(arr=v, **params)
+        assert np.allclose(result, expected['value'])
diff --git a/tests/test_transforms.py b/tests/test_transforms.py
index abe0f17..67af996 100644
--- a/tests/test_transforms.py
+++ b/tests/test_transforms.py
@@ -23,11 +23,11 @@ Test all functions in pymovements.transforms.
 import numpy as np
 import pytest
 
+from pymovements.transforms import norm
 from pymovements.transforms import pix2deg
 from pymovements.transforms import pos2vel
 from pymovements.transforms import split
 
-
 n_coords = 100
 screen_px_1d = 100
 screen_cm_1d = 100
@@ -181,6 +181,39 @@ screen_cm_2d = [100, 100]
             ValueError,
             id='list_coords_3d_raises_value_error',
         ),
+        pytest.param(
+            {
+                'arr': np.zeros((n_coords, 4)),
+                'screen_px': screen_px_1d,
+                'screen_cm': screen_px_2d,
+                'distance_cm': screen_cm_1d,
+                'origin': 'center',
+            },
+            ValueError,
+            id='list_coords_4d_screen_px_not_2d_raises_value_error',
+        ),
+        pytest.param(
+            {
+                'arr': np.zeros((n_coords, 4)),
+                'screen_px': screen_px_2d,
+                'screen_cm': screen_cm_1d,
+                'distance_cm': screen_cm_1d,
+                'origin': 'center',
+            },
+            ValueError,
+            id='list_coords_4d_screen_cm_not_2d_raises_value_error',
+        ),
+        pytest.param(
+            {
+                'arr': np.zeros((n_coords, 4)),
+                'screen_px': screen_px_2d,
+                'screen_cm': screen_px_2d,
+                'distance_cm': screen_cm_1d,
+                'origin': 'invalid',
+            },
+            ValueError,
+            id='invalid_origin_str_raises_value_error',
+        ),
     ],
 )
 def test_pix2deg_raises_error(kwargs, expected_error):
@@ -367,6 +400,17 @@ def test_pix2deg_raises_error(kwargs, expected_error):
             np.array([[0.0, 0.0]] * n_coords),
             id='nparray_of_zero_coords_2d',
         ),
+        pytest.param(
+            {
+                'arr': np.array([[0.0, 0.0, 0.0, 0.0]] * n_coords),
+                'screen_px': screen_px_2d,
+                'screen_cm': screen_cm_2d,
+                'distance_cm': screen_cm_1d,
+                'origin': 'center',
+            },
+            np.array([[0.0, 0.0, 0.0, 0.0]] * n_coords),
+            id='nparray_of_zero_coords_4d',
+        ),
     ],
 )
 def test_pix2deg_returns(kwargs, expected_value):
@@ -425,6 +469,23 @@ def test_pix2deg_returns(kwargs, expected_value):
             ValueError,
             id='invalid_method_raises_value_error',
         ),
+        pytest.param(
+            {
+                'arr': np.ones((3, 3, 3)),
+                'method': 'smooth',
+            },
+            ValueError,
+            id='wrong_dimensions_input_arr_raises_value_error',
+        ),
+        pytest.param(
+            {
+                'arr': np.ones(10),
+                'method': 'smooth',
+                'kwargs': {},
+            },
+            ValueError,
+            id='kwargs_passed_but_method_not_savitzky_golay_raises_value_error',
+        ),
     ],
 )
 def test_pos2vel_raises_error(kwargs, expected_error):
@@ -508,6 +569,92 @@ def test_pos2vel_stepped_input_returns(params, expected_value):
     assert np.allclose(actual_value[lpad:rpad], expected_value[lpad:rpad])
 
 
+@pytest.mark.parametrize(
+    'params, expected_value',
+    [
+        pytest.param(
+            {'method': 'savitzky_golay', 'window_length': 7, 'polyorder': 2, 'sampling_rate': 1},
+            np.concatenate([
+                np.array([
+                    [0.71428571, 0.71428571],
+                    [0.80952381, 0.80952381],
+                    [0.9047619, 0.9047619],
+                ]),
+                np.ones((94, 2)),
+                np.array([
+                    [0.9047619, 0.9047619],
+                    [0.80952381, 0.80952381],
+                    [0.71428571, 0.71428571],
+                ]),
+            ]),
+            id='method_savitzky_golay_linear_velocity_2d_input',
+        ),
+    ],
+)
+def test_pos2vel_2d_stepped_input_returns(params, expected_value):
+    N = 100
+    x = np.linspace(0, N - 2, N // 2)
+    x = np.repeat(x, 4)
+    x = np.reshape(x, (100, 2))
+
+    actual_value = pos2vel(x, **params)
+
+    lpad, rpad = 1, -1
+    assert np.allclose(actual_value[lpad:rpad], expected_value[lpad:rpad])
+
+
+@pytest.mark.parametrize(
+    'params, expected_value',
+    [
+        pytest.param(
+            {'arr': np.ones((2, 2, 5)), 'axis': None},
+            np.array([
+                [1.41421356, 1.41421356, 1.41421356, 1.41421356, 1.41421356],
+                [1.41421356, 1.41421356, 1.41421356, 1.41421356, 1.41421356],
+            ]),
+            id='3_dim_array_no_axis',
+        ),
+        pytest.param(
+            {'arr': np.ones((2, 5)), 'axis': None},
+            np.array([[1.41421356, 1.41421356, 1.41421356, 1.41421356, 1.41421356]]),
+            id='2_dim_array_no_axis',
+        ),
+        pytest.param(
+            {'arr': np.ones((2, 2, 2, 2)), 'axis': 2},
+            np.array([
+                [
+                    [1.41421356, 1.41421356],
+                    [1.41421356, 1.41421356],
+                ],
+                [
+                    [1.41421356, 1.41421356],
+                    [1.41421356, 1.41421356],
+                ],
+            ]),
+            id='4_dim_array_with_axis',
+        ),
+    ],
+)
+def test_norm(params, expected_value):
+    actual_value = norm(**params)
+    assert np.allclose(actual_value, expected_value)
+
+
+@pytest.mark.parametrize(
+    'params, expected_error',
+    [
+        pytest.param(
+            {'arr': np.ones((2, 2, 5, 5)), 'axis': None},
+            ValueError,
+            id='4_dim_array_no_axis_raises_value_error',
+        ),
+    ],
+)
+def test_norm_raises_exception(params, expected_error):
+    with pytest.raises(expected_error):
+        norm(**params)
+
+
 @pytest.mark.parametrize(
     'params, expected',
     [
diff --git a/tests/utils/test_filters.py b/tests/utils/test_filters.py
index 2c5ea91..ad35866 100644
--- a/tests/utils/test_filters.py
+++ b/tests/utils/test_filters.py
@@ -65,6 +65,16 @@ from pymovements.utils.filters import filter_candidates_remove_nans
             {'values_split': [np.array([0, 1, 2]), np.array([5, 6, 7])]},
             id='test_events_split',
         ),
+        pytest.param(
+            {'candidates': [[]], 'values': np.array([(0, 0)])},
+            {'values_filter': []},
+            id='test_no_candidates_in_array',
+        ),
+        pytest.param(
+            {'candidates': [[]], 'values': np.array([(np.nan, np.nan)])},
+            {'values_split': []},
+            id='test_no_candidates_in_array_nan',
+        ),
     ],
 )
 def test_filters(params, expected):
diff --git a/tests/utils/test_paths.py b/tests/utils/test_paths.py
new file mode 100644
index 0000000..8b6c876
--- /dev/null
+++ b/tests/utils/test_paths.py
@@ -0,0 +1,113 @@
+# Copyright (c) 2023 The pymovements Project Authors
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+"""
+Test pymovements paths.
+"""
+import pathlib
+import re
+
+import pytest
+
+from pymovements.utils.paths import get_filepaths
+
+
+def test_get_filepaths_mut_excl_extension_and_regex_error():
+    """
+    Test mutually exclusive extension and regex in get_filepaths.
+    """
+    with pytest.raises(ValueError) as excinfo:
+        get_filepaths(path='tmp', extension='extension', regex=re.compile('regex'))
+    msg, = excinfo.value.args
+    assert msg == 'extension and regex are mutually exclusive'
+
+
+@pytest.mark.parametrize(
+    ('extension', 'regex', 'expected_paths'),
+    [
+        pytest.param(
+            None,
+            re.compile('regex'),
+            [],
+            id='regex empty dir',
+        ),
+        pytest.param(
+            'extension',
+            None,
+            [],
+            id='extension empty dir',
+        ),
+    ],
+)
+def test_get_filepaths_empty_directory(
+        extension,
+        regex,
+        expected_paths,
+):
+    """
+    Test mutually exclusive extension and regex in `get_filepaths`.
+    """
+    assert get_filepaths(path='tmp', extension=extension, regex=regex) == expected_paths
+
+
+def create_directory(tmp_path, sub_dirs, files):
+    for sub_dir in sub_dirs:
+        dir_path = tmp_path / sub_dir
+        dir_path.mkdir()
+        for file_name in files:
+            file_path = dir_path / file_name
+            file_path.write_text('test')
+
+
+@pytest.mark.parametrize(
+    ('extension', 'regex', 'sub_dirs', 'files', 'expected_paths'),
+    [
+        pytest.param(
+            '.txt',
+            None,
+            ['tmp_dir'],
+            ['foo.txt', 'bar.py'],
+            ['tmp_dir/foo.txt'],
+            id='extension regex get filepaths list',
+        ),
+        pytest.param(
+            None,
+            re.compile('foo'),
+            ['tmp_dir'],
+            ['foo.txt', 'foo.py', 'bar.py'],
+            ['tmp_dir/foo.txt', 'tmp_dir/foo.py'],
+            id='regex get filepaths list',
+        ),
+    ],
+)
+def test_get_filepaths_is_dir(
+        extension,
+        regex,
+        tmp_path,
+        sub_dirs,
+        files,
+        expected_paths,
+):
+    """
+    Test `get_filepaths` list creation.
+    """
+    create_directory(tmp_path, sub_dirs, files)
+    ret = get_filepaths(path=tmp_path, extension=extension, regex=regex)
+    expected_list = [tmp_path / pathlib.Path(expected_path) for expected_path in expected_paths]
+    assert sorted(ret) == sorted(expected_list)