diff tests/test_core.py @ 400:323d59b404a2

Use pytest instead of genty

--- a/tests/test_core.py	Fri May 24 21:30:34 2024 +0200
+++ b/tests/test_core.py	Sat May 25 21:54:13 2024 +0200
@@ -3,10 +3,8 @@
 from random import random
 from tempfile import TemporaryDirectory
 from array import array as array_
-import unittest
-from unittest import TestCase, mock
-from unittest.mock import patch
-from genty import genty, genty_dataset
+import pytest
+from unittest.mock import patch, Mock
 from auditok import load, split, AudioRegion, AudioParameterError
 from auditok.core import (
     _duration_to_nb_windows,
@@ -17,8 +15,6 @@
 from auditok.util import AudioDataSource
 from auditok.io import get_audio_source
 
-mock._magics.add("__round__")
-
 
 def _make_random_length_regions(
     byte_seq, sampling_rate, sample_width, channels
@@ -32,183 +28,178 @@
     return regions
 
 
-@genty
-class TestFunctions(TestCase):
-    @genty_dataset(
-        no_skip_read_all=(0, -1),
-        no_skip_read_all_stereo=(0, -1, 2),
-        skip_2_read_all=(2, -1),
-        skip_2_read_all_None=(2, None),
-        skip_2_read_3=(2, 3),
-        skip_2_read_3_5_stereo=(2, 3.5, 2),
-        skip_2_4_read_3_5_stereo=(2.4, 3.5, 2),
[e-mail](
+    "skip, max_read, channels",
+    [
+        (0, -1, 1),
+        (0, -1, 2),
+        (2, -1, 1),
+        (2, None, 1),
+        (2, 3, 1),
+        (2, 3.5, 2),
+        (2.4, 3.5, 2),
+    ],
+    ids=[
+        "no_skip_read_all",
+        "no_skip_read_all_stereo",
+        "skip_2_read_all",
+        "skip_2_read_all_None",
+        "skip_2_read_3",
+        "skip_2_read_3_5_stereo",
+        "skip_2_4_read_3_5_stereo",
+    ],
+)
+def test_load(skip, max_read, channels):
+    sampling_rate = 10
+    sample_width = 2
+    filename = "tests/data/test_split_10HZ_{}.raw"
+    filename = filename.format("mono" if channels == 1 else "stereo")
+    region = load(
+        filename,
+        skip=skip,
+        max_read=max_read,
+        sr=sampling_rate,
+        sw=sample_width,
+        ch=channels,
     )
-    def test_load(self, skip, max_read, channels=1):
-        sampling_rate = 10
-        sample_width = 2
-        filename = "tests/data/test_split_10HZ_{}.raw"
-        filename = filename.format("mono" if channels == 1 else "stereo")
-        region = load(
-            filename,
-            skip=skip,
-            max_read=max_read,
-            sr=sampling_rate,
-            sw=sample_width,
-            ch=channels,
+    with open(filename, "rb") as fp:
+        fp.read(round(skip * sampling_rate * sample_width * channels))
+        if max_read is None or max_read < 0:
+            to_read = -1
+        else:
+            to_read = round(max_read * sampling_rate * sample_width * channels)
+        expected = fp.read(to_read)
+    assert bytes(region) == expected
+
+
[e-mail](
+    "duration, analysis_window, round_fn, expected, kwargs",
+    [
+        (0, 1, None, 0, None),
+        (0.3, 0.1, round, 3, None),
+        (0.35, 0.1, math.ceil, 4, None),
+        (0.35, 0.1, math.floor, 3, None),
+        (0.05, 0.1, round, 0, None),
+        (0.05, 0.1, math.ceil, 1, None),
+        (0.3, 0.1, math.floor, 3, {"epsilon": 1e-6}),
+        (-0.5, 0.1, math.ceil, ValueError, None),
+        (0.5, -0.1, math.ceil, ValueError, None),
+    ],
+    ids=[
+        "zero_duration",
+        "multiple",
+        "not_multiple_ceil",
+        "not_multiple_floor",
+        "small_duration",
+        "small_duration_ceil",
+        "with_round_error",
+        "negative_duration",
+        "negative_analysis_window",
+    ],
+)
+def test_duration_to_nb_windows(
+    duration, analysis_window, round_fn, expected, kwargs
+):
+    if expected == ValueError:
+        with pytest.raises(ValueError):
+            _duration_to_nb_windows(duration, analysis_window, round_fn)
+    else:
+        if kwargs is None:
+            kwargs = {}
+        result = _duration_to_nb_windows(
+            duration, analysis_window, round_fn, **kwargs
         )
-        with open(filename, "rb") as fp:
-            fp.read(round(skip * sampling_rate * sample_width * channels))
-            if max_read is None or max_read < 0:
-                to_read = -1
-            else:
-                to_read = round(
-                    max_read * sampling_rate * sample_width * channels
-                )
-            expected = fp.read(to_read)
-        self.assertEqual(bytes(region), expected)
+        assert result == expected
 
-    @genty_dataset(
-        zero_duration=(0, 1, None, 0),
-        multiple=(0.3, 0.1, round, 3),
-        not_multiple_ceil=(0.35, 0.1, math.ceil, 4),
-        not_multiple_floor=(0.35, 0.1, math.floor, 3),
-        small_duration=(0.05, 0.1, round, 0),
-        small_duration_ceil=(0.05, 0.1, math.ceil, 1),
-        with_round_error=(0.3, 0.1, math.floor, 3, {"epsilon": 1e-6}),
-        negative_duration=(-0.5, 0.1, math.ceil, ValueError),
-        negative_analysis_window=(0.5, -0.1, math.ceil, ValueError),
+
[e-mail](
+    "channels, skip, max_read",
+    [
+        (1, 0, None),
+        (1, 3, None),
+        (1, 2, -1),
+        (1, 2, 3),
+        (2, 0, None),
+        (2, 3, None),
+        (2, 2, -1),
+        (2, 2, 3),
+    ],
+    ids=[
+        "mono_skip_0_max_read_None",
+        "mono_skip_3_max_read_None",
+        "mono_skip_2_max_read_negative",
+        "mono_skip_2_max_read_3",
+        "stereo_skip_0_max_read_None",
+        "stereo_skip_3_max_read_None",
+        "stereo_skip_2_max_read_negative",
+        "stereo_skip_2_max_read_3",
+    ],
+)
+def test_read_offline(channels, skip, max_read):
+    sampling_rate = 10
+    sample_width = 2
+    mono_or_stereo = "mono" if channels == 1 else "stereo"
+    filename = "tests/data/test_split_10HZ_{}.raw".format(mono_or_stereo)
+    with open(filename, "rb") as fp:
+        data = fp.read()
+    onset = round(skip * sampling_rate * sample_width * channels)
+    if max_read in (-1, None):
+        offset = len(data) + 1
+    else:
+        offset = onset + round(
+            max_read * sampling_rate * sample_width * channels
+        )
+    expected_data = data[onset:offset]
+    read_data, *audio_params = _read_offline(
+        filename,
+        skip=skip,
+        max_read=max_read,
+        sr=sampling_rate,
+        sw=sample_width,
+        ch=channels,
     )
-    def test_duration_to_nb_windows(
-        self, duration, analysis_window, round_fn, expected, kwargs=None
-    ):
-        if expected == ValueError:
-            with self.assertRaises(expected):
-                _duration_to_nb_windows(duration, analysis_window, round_fn)
-        else:
-            if kwargs is None:
-                kwargs = {}
-            result = _duration_to_nb_windows(
-                duration, analysis_window, round_fn, **kwargs
-            )
-            self.assertEqual(result, expected)
+    assert read_data == expected_data
+    assert tuple(audio_params) == (sampling_rate, sample_width, channels)
 
-    @genty_dataset(
-        mono_skip_0_max_read_None=(1, 0, None),
-        mono_skip_3_max_read_None=(1, 3, None),
-        mono_skip_2_max_read_negative=(1, 2, -1),
-        mono_skip_2_max_read_3=(1, 2, 3),
-        stereo_skip_0_max_read_None=(2, 0, None),
-        stereo_skip_3_max_read_None=(2, 3, None),
-        stereo_skip_2_max_read_negative=(2, 2, -1),
-        stereo_skip_2_max_read_3=(2, 2, 3),
-    )
-    def test_read_offline(self, channels, skip, max_read=None):
-        sampling_rate = 10
-        sample_width = 2
-        mono_or_stereo = "mono" if channels == 1 else "stereo"
-        filename = "tests/data/test_split_10HZ_{}.raw".format(mono_or_stereo)
-        with open(filename, "rb") as fp:
-            data = fp.read()
-        onset = round(skip * sampling_rate * sample_width * channels)
-        if max_read in (-1, None):
-            offset = len(data) + 1
-        else:
-            offset = onset + round(
-                max_read * sampling_rate * sample_width * channels
-            )
-        expected_data = data[onset:offset]
-        read_data, *audio_params = _read_offline(
-            filename,
-            skip=skip,
-            max_read=max_read,
-            sr=sampling_rate,
-            sw=sample_width,
-            ch=channels,
-        )
-        self.assertEqual(read_data, expected_data)
-        self.assertEqual(
-            tuple(audio_params), (sampling_rate, sample_width, channels)
-        )
 
-
-@genty
-class TestSplit(TestCase):
-    @genty_dataset(
-        simple=(
[e-mail](
+    "min_dur, max_dur, max_silence, drop_trailing_silence, strict_min_dur, kwargs, expected",
+    [
+        (0.2, 5, 0.2, False, False, {"eth": 50}, [(2, 16), (17, 31), (34, 76)]),
+        (
+            0.3,
+            2,
+            0.2,
+            False,
+            False,
+            {"eth": 50},
+            [(2, 16), (17, 31), (34, 54), (54, 74), (74, 76)],
+        ),
+        (3, 5, 0.2, False, False, {"eth": 50}, [(34, 76)]),
+        (0.2, 80, 10, False, False, {"eth": 50}, [(2, 76)]),
+        (
+            0.2,
+            5,
+            0.0,
+            False,
+            False,
+            {"eth": 50},
+            [(2, 14), (17, 24), (26, 29), (34, 76)],
+        ),
+        (
             0.2,
             5,
             0.2,
             False,
             False,
-            {"eth": 50},
-            [(2, 16), (17, 31), (34, 76)],
-        ),
-        short_max_dur=(
-            0.3,
-            2,
-            0.2,
-            False,
-            False,
-            {"eth": 50},
-            [(2, 16), (17, 31), (34, 54), (54, 74), (74, 76)],
-        ),
-        long_min_dur=(3, 5, 0.2, False, False, {"eth": 50}, [(34, 76)]),
-        long_max_silence=(0.2, 80, 10, False, False, {"eth": 50}, [(2, 76)]),
-        zero_max_silence=(
-            0.2,
-            5,
-            0.0,
-            False,
-            False,
-            {"eth": 50},
-            [(2, 14), (17, 24), (26, 29), (34, 76)],
-        ),
-        low_energy_threshold=(
-            0.2,
-            5,
-            0.2,
-            False,
-            False,
             {"energy_threshold": 40},
             [(0, 50), (50, 76)],
         ),
-        high_energy_threshold=(
-            0.2,
-            5,
-            0.2,
-            False,
-            False,
-            {"energy_threshold": 60},
-            [],
-        ),
-        trim_leading_and_trailing_silence=(
-            0.2,
-            10,  # use long max_dur
-            0.5,  # and a max_silence longer than any inter-region silence
-            True,
-            False,
-            {"eth": 50},
-            [(2, 76)],
-        ),
-        drop_trailing_silence=(
-            0.2,
-            5,
-            0.2,
-            True,
-            False,
-            {"eth": 50},
-            [(2, 14), (17, 29), (34, 76)],
-        ),
-        drop_trailing_silence_2=(
-            1.5,
-            5,
-            0.2,
-            True,
-            False,
-            {"eth": 50},
-            [(34, 76)],
-        ),
-        strict_min_dur=(
+        (0.2, 5, 0.2, False, False, {"energy_threshold": 60}, []),
+        (0.2, 10, 0.5, True, False, {"eth": 50}, [(2, 76)]),
+        (0.2, 5, 0.2, True, False, {"eth": 50}, [(2, 14), (17, 29), (34, 76)]),
+        (1.5, 5, 0.2, True, False, {"eth": 50}, [(34, 76)]),
+        (
             0.3,
             2,
             0.2,
@@ -217,266 +208,185 @@
             {"eth": 50},
             [(2, 16), (17, 31), (34, 54), (54, 74)],
         ),
-    )
-    def test_split_params(
-        self,
+    ],
+    ids=[
+        "simple",
+        "short_max_dur",
+        "long_min_dur",
+        "long_max_silence",
+        "zero_max_silence",
+        "low_energy_threshold",
+        "high_energy_threshold",
+        "trim_leading_and_trailing_silence",
+        "drop_trailing_silence",
+        "drop_trailing_silence_2",
+        "strict_min_dur",
+    ],
+)
+def test_split_params(
+    min_dur,
+    max_dur,
+    max_silence,
+    drop_trailing_silence,
+    strict_min_dur,
+    kwargs,
+    expected,
+):
+    with open("tests/data/test_split_10HZ_mono.raw", "rb") as fp:
+        data = fp.read()
+
+    regions = split(
+        data,
         min_dur,
         max_dur,
         max_silence,
         drop_trailing_silence,
         strict_min_dur,
-        kwargs,
-        expected,
-    ):
-        with open("tests/data/test_split_10HZ_mono.raw", "rb") as fp:
-            data = fp.read()
+        analysis_window=0.1,
+        sr=10,
+        sw=2,
+        ch=1,
+        **kwargs
+    )
 
-        regions = split(
-            data,
-            min_dur,
-            max_dur,
-            max_silence,
-            drop_trailing_silence,
-            strict_min_dur,
-            analysis_window=0.1,
-            sr=10,
-            sw=2,
-            ch=1,
-            **kwargs
-        )
+    region = AudioRegion(data, 10, 2, 1)
+    regions_ar = region.split(
+        min_dur,
+        max_dur,
+        max_silence,
+        drop_trailing_silence,
+        strict_min_dur,
+        analysis_window=0.1,
+        **kwargs
+    )
 
-        region = AudioRegion(data, 10, 2, 1)
-        regions_ar = region.split(
-            min_dur,
-            max_dur,
-            max_silence,
-            drop_trailing_silence,
-            strict_min_dur,
-            analysis_window=0.1,
-            **kwargs
-        )
+    regions = list(regions)
+    regions_ar = list(regions_ar)
+    err_msg = "Wrong number of regions after split, expected: "
+    err_msg += "{}, found: {}".format(len(expected), len(regions))
+    assert len(regions) == len(expected), err_msg
+    err_msg = "Wrong number of regions after AudioRegion.split, expected: "
+    err_msg += "{}, found: {}".format(len(expected), len(regions_ar))
+    assert len(regions_ar) == len(expected), err_msg
 
-        regions = list(regions)
-        regions_ar = list(regions_ar)
-        err_msg = "Wrong number of regions after split, expected: "
-        err_msg += "{}, found: {}".format(len(expected), len(regions))
-        self.assertEqual(len(regions), len(expected), err_msg)
-        err_msg = "Wrong number of regions after AudioRegion.split, expected: "
-        err_msg += "{}, found: {}".format(len(expected), len(regions_ar))
-        self.assertEqual(len(regions_ar), len(expected), err_msg)
+    sample_width = 2
+    for reg, reg_ar, exp in zip(regions, regions_ar, expected):
+        onset, offset = exp
+        exp_data = data[onset * sample_width : offset * sample_width]
+        assert bytes(reg) == exp_data
+        assert reg == reg_ar
 
-        sample_width = 2
-        for reg, reg_ar, exp in zip(regions, regions_ar, expected):
-            onset, offset = exp
-            exp_data = data[onset * sample_width : offset * sample_width]
-            self.assertEqual(bytes(reg), exp_data)
-            self.assertEqual(reg, reg_ar)
 
-    @genty_dataset(
-        stereo_all_default=(2, {}, [(2, 32), (34, 76)]),
-        mono_max_read=(1, {"max_read": 5}, [(2, 16), (17, 31), (34, 50)]),
-        mono_max_read_short_name=(1, {"mr": 5}, [(2, 16), (17, 31), (34, 50)]),
-        mono_use_channel_1=(
-            1,
-            {"eth": 50, "use_channel": 0},
-            [(2, 16), (17, 31), (34, 76)],
-        ),
-        mono_uc_1=(1, {"eth": 50, "uc": 1}, [(2, 16), (17, 31), (34, 76)]),
-        mono_use_channel_None=(
-            1,
-            {"eth": 50, "use_channel": None},
-            [(2, 16), (17, 31), (34, 76)],
-        ),
-        stereo_use_channel_1=(
-            2,
-            {"eth": 50, "use_channel": 0},
-            [(2, 16), (17, 31), (34, 76)],
-        ),
-        stereo_use_channel_no_use_channel_given=(
-            2,
-            {"eth": 50},
-            [(2, 32), (34, 76)],
-        ),
-        stereo_use_channel_minus_2=(
-            2,
-            {"eth": 50, "use_channel": -2},
-            [(2, 16), (17, 31), (34, 76)],
-        ),
-        stereo_uc_2=(2, {"eth": 50, "uc": 1}, [(10, 32), (36, 76)]),
-        stereo_uc_minus_1=(2, {"eth": 50, "uc": -1}, [(10, 32), (36, 76)]),
-        mono_uc_mix=(
-            1,
-            {"eth": 50, "uc": "mix"},
-            [(2, 16), (17, 31), (34, 76)],
-        ),
-        stereo_use_channel_mix=(
-            2,
-            {"energy_threshold": 53.5, "use_channel": "mix"},
-            [(54, 76)],
-        ),
-        stereo_uc_mix=(2, {"eth": 52, "uc": "mix"}, [(17, 26), (54, 76)]),
-        stereo_uc_mix_default_eth=(
-            2,
-            {"uc": "mix"},
-            [(10, 16), (17, 31), (36, 76)],
-        ),
[e-mail](
+    "channels, kwargs, expected",
+    [
+        (2, {}, [(2, 32), (34, 76)]),
+        (1, {"max_read": 5}, [(2, 16), (17, 31), (34, 50)]),
+        (1, {"mr": 5}, [(2, 16), (17, 31), (34, 50)]),
+        (1, {"eth": 50, "use_channel": 0}, [(2, 16), (17, 31), (34, 76)]),
+        (1, {"eth": 50, "uc": 1}, [(2, 16), (17, 31), (34, 76)]),
+        (1, {"eth": 50, "use_channel": None}, [(2, 16), (17, 31), (34, 76)]),
+        (2, {"eth": 50, "use_channel": 0}, [(2, 16), (17, 31), (34, 76)]),
+        (2, {"eth": 50}, [(2, 32), (34, 76)]),
+        (2, {"eth": 50, "use_channel": -2}, [(2, 16), (17, 31), (34, 76)]),
+        (2, {"eth": 50, "uc": 1}, [(10, 32), (36, 76)]),
+        (2, {"eth": 50, "uc": -1}, [(10, 32), (36, 76)]),
+        (1, {"eth": 50, "uc": "mix"}, [(2, 16), (17, 31), (34, 76)]),
+        (2, {"energy_threshold": 53.5, "use_channel": "mix"}, [(54, 76)]),
+        (2, {"eth": 52, "uc": "mix"}, [(17, 26), (54, 76)]),
+        (2, {"uc": "mix"}, [(10, 16), (17, 31), (36, 76)]),
+    ],
+    ids=[
+        "stereo_all_default",
+        "mono_max_read",
+        "mono_max_read_short_name",
+        "mono_use_channel_1",
+        "mono_uc_1",
+        "mono_use_channel_None",
+        "stereo_use_channel_1",
+        "stereo_use_channel_no_use_channel_given",
+        "stereo_use_channel_minus_2",
+        "stereo_uc_2",
+        "stereo_uc_minus_1",
+        "mono_uc_mix",
+        "stereo_use_channel_mix",
+        "stereo_uc_mix",
+        "stereo_uc_mix_default_eth",
+    ],
+)
+def test_split_kwargs(channels, kwargs, expected):
+
+    mono_or_stereo = "mono" if channels == 1 else "stereo"
+    filename = "tests/data/test_split_10HZ_{}.raw".format(mono_or_stereo)
+    with open(filename, "rb") as fp:
+        data = fp.read()
+
+    regions = split(
+        data,
+        min_dur=0.2,
+        max_dur=5,
+        max_silence=0.2,
+        drop_trailing_silence=False,
+        strict_min_dur=False,
+        analysis_window=0.1,
+        sr=10,
+        sw=2,
+        ch=channels,
+        **kwargs
     )
-    def test_split_kwargs(self, channels, kwargs, expected):
 
-        mono_or_stereo = "mono" if channels == 1 else "stereo"
-        filename = "tests/data/test_split_10HZ_{}.raw".format(mono_or_stereo)
-        with open(filename, "rb") as fp:
-            data = fp.read()
+    region = AudioRegion(data, 10, 2, channels)
+    max_read = kwargs.get("max_read", kwargs.get("mr"))
+    if max_read is not None:
+        region = region.sec[:max_read]
+        kwargs.pop("max_read", None)
+        kwargs.pop("mr", None)
 
-        regions = split(
-            data,
-            min_dur=0.2,
-            max_dur=5,
-            max_silence=0.2,
-            drop_trailing_silence=False,
-            strict_min_dur=False,
-            analysis_window=0.1,
-            sr=10,
-            sw=2,
-            ch=channels,
-            **kwargs
-        )
+    regions_ar = region.split(
+        min_dur=0.2,
+        max_dur=5,
+        max_silence=0.2,
+        drop_trailing_silence=False,
+        strict_min_dur=False,
+        analysis_window=0.1,
+        **kwargs
+    )
 
-        region = AudioRegion(data, 10, 2, channels)
-        max_read = kwargs.get("max_read", kwargs.get("mr"))
-        if max_read is not None:
-            region = region.sec[:max_read]
-            kwargs.pop("max_read", None)
-            kwargs.pop("mr", None)
+    regions = list(regions)
+    regions_ar = list(regions_ar)
+    err_msg = "Wrong number of regions after split, expected: "
+    err_msg += "{}, found: {}".format(len(expected), len(regions))
+    assert len(regions) == len(expected), err_msg
+    err_msg = "Wrong number of regions after AudioRegion.split, expected: "
+    err_msg += "{}, found: {}".format(len(expected), len(regions_ar))
+    assert len(regions_ar) == len(expected), err_msg
 
-        regions_ar = region.split(
-            min_dur=0.2,
-            max_dur=5,
-            max_silence=0.2,
-            drop_trailing_silence=False,
-            strict_min_dur=False,
-            analysis_window=0.1,
-            **kwargs
-        )
+    sample_width = 2
+    sample_size_bytes = sample_width * channels
+    for reg, reg_ar, exp in zip(regions, regions_ar, expected):
+        onset, offset = exp
+        exp_data = data[onset * sample_size_bytes : offset * sample_size_bytes]
+        assert len(bytes(reg)) == len(exp_data)
+        assert reg == reg_ar
 
-        regions = list(regions)
-        regions_ar = list(regions_ar)
-        err_msg = "Wrong number of regions after split, expected: "
-        err_msg += "{}, found: {}".format(len(expected), len(regions))
-        self.assertEqual(len(regions), len(expected), err_msg)
-        err_msg = "Wrong number of regions after AudioRegion.split, expected: "
-        err_msg += "{}, found: {}".format(len(expected), len(regions_ar))
-        self.assertEqual(len(regions_ar), len(expected), err_msg)
 
-        sample_width = 2
-        sample_size_bytes = sample_width * channels
-        for reg, reg_ar, exp in zip(regions, regions_ar, expected):
-            onset, offset = exp
-            exp_data = data[
-                onset * sample_size_bytes : offset * sample_size_bytes
-            ]
-            self.assertEqual(len(bytes(reg)), len(exp_data))
-            self.assertEqual(reg, reg_ar)
-
-    @genty_dataset(
-        mono_aw_0_2_max_silence_0_2=(
-            0.2,
-            5,
-            0.2,
-            1,
-            {"aw": 0.2},
-            [(2, 30), (34, 76)],
-        ),
-        mono_aw_0_2_max_silence_0_3=(
-            0.2,
-            5,
-            0.3,
-            1,
-            {"aw": 0.2},
-            [(2, 30), (34, 76)],
-        ),
-        mono_aw_0_2_max_silence_0_4=(
-            0.2,
-            5,
-            0.4,
-            1,
-            {"aw": 0.2},
-            [(2, 32), (34, 76)],
-        ),
-        mono_aw_0_2_max_silence_0=(
-            0.2,
-            5,
-            0,
-            1,
-            {"aw": 0.2},
-            [(2, 14), (16, 24), (26, 28), (34, 76)],
-        ),
-        mono_aw_0_2=(0.2, 5, 0.2, 1, {"aw": 0.2}, [(2, 30), (34, 76)]),
-        mono_aw_0_3_max_silence_0=(
-            0.3,
-            5,
-            0,
-            1,
-            {"aw": 0.3},
-            [(3, 12), (15, 24), (36, 76)],
-        ),
-        mono_aw_0_3_max_silence_0_3=(
-            0.3,
-            5,
-            0.3,
-            1,
-            {"aw": 0.3},
-            [(3, 27), (36, 76)],
-        ),
-        mono_aw_0_3_max_silence_0_5=(
-            0.3,
-            5,
-            0.5,
-            1,
-            {"aw": 0.3},
-            [(3, 27), (36, 76)],
-        ),
-        mono_aw_0_3_max_silence_0_6=(
-            0.3,
-            5,
-            0.6,
-            1,
-            {"aw": 0.3},
-            [(3, 30), (36, 76)],
-        ),
-        mono_aw_0_4_max_silence_0=(
-            0.2,
-            5,
-            0,
-            1,
-            {"aw": 0.4},
-            [(4, 12), (16, 24), (36, 76)],
-        ),
-        mono_aw_0_4_max_silence_0_3=(
-            0.2,
-            5,
-            0.3,
-            1,
-            {"aw": 0.4},
-            [(4, 12), (16, 24), (36, 76)],
-        ),
-        mono_aw_0_4_max_silence_0_4=(
-            0.2,
-            5,
-            0.4,
-            1,
-            {"aw": 0.4},
-            [(4, 28), (36, 76)],
-        ),
-        stereo_uc_None_analysis_window_0_2=(
-            0.2,
-            5,
-            0.2,
-            2,
-            {"analysis_window": 0.2},
-            [(2, 32), (34, 76)],
-        ),
-        stereo_uc_any_analysis_window_0_2=(
[e-mail](
+    "min_dur, max_dur, max_silence, channels, kwargs, expected",
+    [
+        (0.2, 5, 0.2, 1, {"aw": 0.2}, [(2, 30), (34, 76)]),
+        (0.2, 5, 0.3, 1, {"aw": 0.2}, [(2, 30), (34, 76)]),
+        (0.2, 5, 0.4, 1, {"aw": 0.2}, [(2, 32), (34, 76)]),
+        (0.2, 5, 0, 1, {"aw": 0.2}, [(2, 14), (16, 24), (26, 28), (34, 76)]),
+        (0.2, 5, 0.2, 1, {"aw": 0.2}, [(2, 30), (34, 76)]),
+        (0.3, 5, 0, 1, {"aw": 0.3}, [(3, 12), (15, 24), (36, 76)]),
+        (0.3, 5, 0.3, 1, {"aw": 0.3}, [(3, 27), (36, 76)]),
+        (0.3, 5, 0.5, 1, {"aw": 0.3}, [(3, 27), (36, 76)]),
+        (0.3, 5, 0.6, 1, {"aw": 0.3}, [(3, 30), (36, 76)]),
+        (0.2, 5, 0, 1, {"aw": 0.4}, [(4, 12), (16, 24), (36, 76)]),
+        (0.2, 5, 0.3, 1, {"aw": 0.4}, [(4, 12), (16, 24), (36, 76)]),
+        (0.2, 5, 0.4, 1, {"aw": 0.4}, [(4, 28), (36, 76)]),
+        (0.2, 5, 0.2, 2, {"analysis_window": 0.2}, [(2, 32), (34, 76)]),
+        (
             0.2,
             5,
             0.2,
@@ -484,7 +394,7 @@
             {"uc": None, "analysis_window": 0.2},
             [(2, 32), (34, 76)],
         ),
-        stereo_use_channel_None_aw_0_3_max_silence_0_2=(
+        (
             0.2,
             5,
             0.2,
@@ -492,7 +402,7 @@
             {"use_channel": None, "analysis_window": 0.3},
             [(3, 30), (36, 76)],
         ),
-        stereo_use_channel_any_aw_0_3_max_silence_0_3=(
+        (
             0.2,
             5,
             0.3,
@@ -500,7 +410,7 @@
             {"use_channel": "any", "analysis_window": 0.3},
             [(3, 33), (36, 76)],
         ),
-        stereo_use_channel_None_aw_0_4_max_silence_0_2=(
+        (
             0.2,
             5,
             0.2,
@@ -508,7 +418,7 @@
             {"use_channel": None, "analysis_window": 0.4},
             [(4, 28), (36, 76)],
         ),
-        stereo_use_channel_any_aw_0_3_max_silence_0_4=(
+        (
             0.2,
             5,
             0.4,
@@ -516,7 +426,7 @@
             {"use_channel": "any", "analysis_window": 0.4},
             [(4, 32), (36, 76)],
         ),
-        stereo_uc_0_analysis_window_0_2=(
+        (
             0.2,
             5,
             0.2,
@@ -524,7 +434,7 @@
             {"uc": 0, "analysis_window": 0.2},
             [(2, 30), (34, 76)],
         ),
-        stereo_uc_1_analysis_window_0_2=(
+        (
             0.2,
             5,
             0.2,
@@ -532,7 +442,7 @@
             {"uc": 1, "analysis_window": 0.2},
             [(10, 32), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_1_max_silence_0=(
+        (
             0.2,
             5,
             0,
@@ -540,7 +450,7 @@
             {"uc": "mix", "analysis_window": 0.1},
             [(10, 14), (17, 24), (26, 29), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_1_max_silence_0_1=(
+        (
             0.2,
             5,
             0.1,
@@ -548,7 +458,7 @@
             {"uc": "mix", "analysis_window": 0.1},
             [(10, 15), (17, 25), (26, 30), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_1_max_silence_0_2=(
+        (
             0.2,
             5,
             0.2,
@@ -556,7 +466,7 @@
             {"uc": "mix", "analysis_window": 0.1},
             [(10, 16), (17, 31), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_1_max_silence_0_3=(
+        (
             0.2,
             5,
             0.3,
@@ -564,7 +474,7 @@
             {"uc": "mix", "analysis_window": 0.1},
             [(10, 32), (36, 76)],
         ),
-        stereo_uc_avg_aw_0_2_max_silence_0_min_dur_0_3=(
+        (
             0.3,
             5,
             0,
@@ -572,7 +482,7 @@
             {"uc": "avg", "analysis_window": 0.2},
             [(10, 14), (16, 24), (36, 76)],
         ),
-        stereo_uc_average_aw_0_2_max_silence_0_min_dur_0_41=(
+        (
             0.41,
             5,
             0,
@@ -580,7 +490,7 @@
             {"uc": "average", "analysis_window": 0.2},
             [(16, 24), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_2_max_silence_0_1=(
+        (
             0.2,
             5,
             0.1,
@@ -588,7 +498,7 @@
             {"uc": "mix", "analysis_window": 0.2},
             [(10, 14), (16, 24), (26, 28), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_2_max_silence_0_2=(
+        (
             0.2,
             5,
             0.2,
@@ -596,7 +506,7 @@
             {"uc": "mix", "analysis_window": 0.2},
             [(10, 30), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_2_max_silence_0_4=(
+        (
             0.2,
             5,
             0.4,
@@ -604,7 +514,7 @@
             {"uc": "mix", "analysis_window": 0.2},
             [(10, 32), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_2_max_silence_0_5=(
+        (
             0.2,
             5,
             0.5,
@@ -612,7 +522,7 @@
             {"uc": "mix", "analysis_window": 0.2},
             [(10, 32), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_2_max_silence_0_6=(
+        (
             0.2,
             5,
             0.6,
@@ -620,7 +530,7 @@
             {"uc": "mix", "analysis_window": 0.2},
             [(10, 34), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_3_max_silence_0=(
+        (
             0.2,
             5,
             0,
@@ -628,7 +538,7 @@
             {"uc": "mix", "analysis_window": 0.3},
             [(9, 24), (27, 30), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_3_max_silence_0_min_dur_0_3=(
+        (
             0.4,
             5,
             0,
@@ -636,7 +546,7 @@
             {"uc": "mix", "analysis_window": 0.3},
             [(9, 24), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_3_max_silence_0_6=(
+        (
             0.2,
             5,
             0.6,
@@ -644,7 +554,7 @@
             {"uc": "mix", "analysis_window": 0.3},
             [(9, 57), (57, 76)],
         ),
-        stereo_uc_mix_aw_0_3_max_silence_0_6_max_dur_5_1=(
+        (
             0.2,
             5.1,
             0.6,
@@ -652,7 +562,7 @@
             {"uc": "mix", "analysis_window": 0.3},
             [(9, 60), (60, 76)],
         ),
-        stereo_uc_mix_aw_0_3_max_silence_0_6_max_dur_5_2=(
+        (
             0.2,
             5.2,
             0.6,
@@ -660,7 +570,7 @@
             {"uc": "mix", "analysis_window": 0.3},
             [(9, 60), (60, 76)],
         ),
-        stereo_uc_mix_aw_0_3_max_silence_0_6_max_dur_5_3=(
+        (
             0.2,
             5.3,
             0.6,
@@ -668,7 +578,7 @@
             {"uc": "mix", "analysis_window": 0.3},
             [(9, 60), (60, 76)],
         ),
-        stereo_uc_mix_aw_0_3_max_silence_0_6_max_dur_5_4=(
+        (
             0.2,
             5.4,
             0.6,
@@ -676,7 +586,7 @@
             {"uc": "mix", "analysis_window": 0.3},
             [(9, 63), (63, 76)],
         ),
-        stereo_uc_mix_aw_0_4_max_silence_0=(
+        (
             0.2,
             5,
             0,
@@ -684,7 +594,7 @@
             {"uc": "mix", "analysis_window": 0.4},
             [(16, 24), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_4_max_silence_0_3=(
+        (
             0.2,
             5,
             0.3,
@@ -692,7 +602,7 @@
             {"uc": "mix", "analysis_window": 0.4},
             [(16, 24), (36, 76)],
         ),
-        stereo_uc_mix_aw_0_4_max_silence_0_4=(
+        (
             0.2,
             5,
             0.4,
@@ -700,131 +610,172 @@
             {"uc": "mix", "analysis_window": 0.4},
             [(16, 28), (36, 76)],
         ),
+    ],
+    ids=[
+        "mono_aw_0_2_max_silence_0_2",
+        "mono_aw_0_2_max_silence_0_3",
+        "mono_aw_0_2_max_silence_0_4",
+        "mono_aw_0_2_max_silence_0",
+        "mono_aw_0_2",
+        "mono_aw_0_3_max_silence_0",
+        "mono_aw_0_3_max_silence_0_3",
+        "mono_aw_0_3_max_silence_0_5",
+        "mono_aw_0_3_max_silence_0_6",
+        "mono_aw_0_4_max_silence_0",
+        "mono_aw_0_4_max_silence_0_3",
+        "mono_aw_0_4_max_silence_0_4",
+        "stereo_uc_None_analysis_window_0_2",
+        "stereo_uc_any_analysis_window_0_2",
+        "stereo_use_channel_None_aw_0_3_max_silence_0_2",
+        "stereo_use_channel_any_aw_0_3_max_silence_0_3",
+        "stereo_use_channel_None_aw_0_4_max_silence_0_2",
+        "stereo_use_channel_any_aw_0_3_max_silence_0_4",
+        "stereo_uc_0_analysis_window_0_2",
+        "stereo_uc_1_analysis_window_0_2",
+        "stereo_uc_mix_aw_0_1_max_silence_0",
+        "stereo_uc_mix_aw_0_1_max_silence_0_1",
+        "stereo_uc_mix_aw_0_1_max_silence_0_2",
+        "stereo_uc_mix_aw_0_1_max_silence_0_3",
+        "stereo_uc_avg_aw_0_2_max_silence_0_min_dur_0_3",
+        "stereo_uc_average_aw_0_2_max_silence_0_min_dur_0_41",
+        "stereo_uc_mix_aw_0_2_max_silence_0_1",
+        "stereo_uc_mix_aw_0_2_max_silence_0_2",
+        "stereo_uc_mix_aw_0_2_max_silence_0_4",
+        "stereo_uc_mix_aw_0_2_max_silence_0_5",
+        "stereo_uc_mix_aw_0_2_max_silence_0_6",
+        "stereo_uc_mix_aw_0_3_max_silence_0",
+        "stereo_uc_mix_aw_0_3_max_silence_0_min_dur_0_3",
+        "stereo_uc_mix_aw_0_3_max_silence_0_6",
+        "stereo_uc_mix_aw_0_3_max_silence_0_6_max_dur_5_1",
+        "stereo_uc_mix_aw_0_3_max_silence_0_6_max_dur_5_2",
+        "stereo_uc_mix_aw_0_3_max_silence_0_6_max_dur_5_3",
+        "stereo_uc_mix_aw_0_3_max_silence_0_6_max_dur_5_4",
+        "stereo_uc_mix_aw_0_4_max_silence_0",
+        "stereo_uc_mix_aw_0_4_max_silence_0_3",
+        "stereo_uc_mix_aw_0_4_max_silence_0_4",
+    ],
+)
+def test_split_analysis_window(
+    min_dur, max_dur, max_silence, channels, kwargs, expected
+):
+
+    mono_or_stereo = "mono" if channels == 1 else "stereo"
+    filename = "tests/data/test_split_10HZ_{}.raw".format(mono_or_stereo)
+    with open(filename, "rb") as fp:
+        data = fp.read()
+
+    regions = split(
+        data,
+        min_dur=min_dur,
+        max_dur=max_dur,
+        max_silence=max_silence,
+        drop_trailing_silence=False,
+        strict_min_dur=False,
+        sr=10,
+        sw=2,
+        ch=channels,
+        eth=49.99,
+        **kwargs
     )
-    def test_split_analysis_window(
-        self, min_dur, max_dur, max_silence, channels, kwargs, expected
-    ):
 
-        mono_or_stereo = "mono" if channels == 1 else "stereo"
-        filename = "tests/data/test_split_10HZ_{}.raw".format(mono_or_stereo)
-        with open(filename, "rb") as fp:
-            data = fp.read()
+    region = AudioRegion(data, 10, 2, channels)
+    regions_ar = region.split(
+        min_dur=min_dur,
+        max_dur=max_dur,
+        max_silence=max_silence,
+        drop_trailing_silence=False,
+        strict_min_dur=False,
+        eth=49.99,
+        **kwargs
+    )
 
-        regions = split(
-            data,
-            min_dur=min_dur,
-            max_dur=max_dur,
-            max_silence=max_silence,
-            drop_trailing_silence=False,
-            strict_min_dur=False,
-            sr=10,
-            sw=2,
-            ch=channels,
-            eth=49.99,
-            **kwargs
-        )
+    regions = list(regions)
+    regions_ar = list(regions_ar)
+    err_msg = "Wrong number of regions after split, expected: "
+    err_msg += "{}, found: {}".format(len(expected), len(regions))
+    assert len(regions) == len(expected), err_msg
+    err_msg = "Wrong number of regions after AudioRegion.split, expected: "
+    err_msg += "{}, found: {}".format(len(expected), len(regions_ar))
+    assert len(regions_ar) == len(expected), err_msg
 
-        region = AudioRegion(data, 10, 2, channels)
-        regions_ar = region.split(
-            min_dur=min_dur,
-            max_dur=max_dur,
-            max_silence=max_silence,
-            drop_trailing_silence=False,
-            strict_min_dur=False,
-            eth=49.99,
-            **kwargs
-        )
+    sample_width = 2
+    sample_size_bytes = sample_width * channels
+    for reg, reg_ar, exp in zip(regions, regions_ar, expected):
+        onset, offset = exp
+        exp_data = data[onset * sample_size_bytes : offset * sample_size_bytes]
+        assert bytes(reg) == exp_data
+        assert reg == reg_ar
 
-        regions = list(regions)
-        regions_ar = list(regions_ar)
-        err_msg = "Wrong number of regions after split, expected: "
-        err_msg += "{}, found: {}".format(len(expected), len(regions))
-        self.assertEqual(len(regions), len(expected), err_msg)
-        err_msg = "Wrong number of regions after AudioRegion.split, expected: "
-        err_msg += "{}, found: {}".format(len(expected), len(regions_ar))
-        self.assertEqual(len(regions_ar), len(expected), err_msg)
 
-        sample_width = 2
-        sample_size_bytes = sample_width * channels
-        for reg, reg_ar, exp in zip(regions, regions_ar, expected):
-            onset, offset = exp
-            exp_data = data[
-                onset * sample_size_bytes : offset * sample_size_bytes
-            ]
-            self.assertEqual(bytes(reg), exp_data)
-            self.assertEqual(reg, reg_ar)
+def test_split_custom_validator():
+    filename = "tests/data/test_split_10HZ_mono.raw"
+    with open(filename, "rb") as fp:
+        data = fp.read()
 
-    def test_split_custom_validator(self):
-        filename = "tests/data/test_split_10HZ_mono.raw"
-        with open(filename, "rb") as fp:
-            data = fp.read()
+    regions = split(
+        data,
+        min_dur=0.2,
+        max_dur=5,
+        max_silence=0.2,
+        drop_trailing_silence=False,
+        strict_min_dur=False,
+        sr=10,
+        sw=2,
+        ch=1,
+        analysis_window=0.1,
+        validator=lambda x: array_("h", x)[0] >= 320,
+    )
 
-        regions = split(
-            data,
-            min_dur=0.2,
-            max_dur=5,
-            max_silence=0.2,
-            drop_trailing_silence=False,
-            strict_min_dur=False,
-            sr=10,
-            sw=2,
-            ch=1,
-            analysis_window=0.1,
-            validator=lambda x: array_("h", x)[0] >= 320,
-        )
+    region = AudioRegion(data, 10, 2, 1)
+    regions_ar = region.split(
+        min_dur=0.2,
+        max_dur=5,
+        max_silence=0.2,
+        drop_trailing_silence=False,
+        strict_min_dur=False,
+        analysis_window=0.1,
+        validator=lambda x: array_("h", x)[0] >= 320,
+    )
 
-        region = AudioRegion(data, 10, 2, 1)
-        regions_ar = region.split(
-            min_dur=0.2,
-            max_dur=5,
-            max_silence=0.2,
-            drop_trailing_silence=False,
-            strict_min_dur=False,
-            analysis_window=0.1,
-            validator=lambda x: array_("h", x)[0] >= 320,
-        )
+    expected = [(2, 16), (17, 31), (34, 76)]
+    regions = list(regions)
+    regions_ar = list(regions_ar)
+    err_msg = "Wrong number of regions after split, expected: "
+    err_msg += "{}, found: {}".format(len(expected), len(regions))
+    assert len(regions) == len(expected), err_msg
+    err_msg = "Wrong number of regions after AudioRegion.split, expected: "
+    err_msg += "{}, found: {}".format(len(expected), len(regions_ar))
+    assert len(regions_ar) == len(expected), err_msg
 
-        expected = [(2, 16), (17, 31), (34, 76)]
-        regions = list(regions)
-        regions_ar = list(regions_ar)
-        err_msg = "Wrong number of regions after split, expected: "
-        err_msg += "{}, found: {}".format(len(expected), len(regions))
-        self.assertEqual(len(regions), len(expected), err_msg)
-        err_msg = "Wrong number of regions after AudioRegion.split, expected: "
-        err_msg += "{}, found: {}".format(len(expected), len(regions_ar))
-        self.assertEqual(len(regions_ar), len(expected), err_msg)
+    sample_size_bytes = 2
+    for reg, reg_ar, exp in zip(regions, regions_ar, expected):
+        onset, offset = exp
+        exp_data = data[onset * sample_size_bytes : offset * sample_size_bytes]
+        assert bytes(reg) == exp_data
+        assert reg == reg_ar
 
-        sample_size_bytes = 2
-        for reg, reg_ar, exp in zip(regions, regions_ar, expected):
-            onset, offset = exp
-            exp_data = data[
-                onset * sample_size_bytes : offset * sample_size_bytes
-            ]
-            self.assertEqual(bytes(reg), exp_data)
-            self.assertEqual(reg, reg_ar)
 
-    @genty_dataset(
-        filename_audio_format=(
[e-mail](
+    "input, kwargs",
+    [
+        (
             "tests/data/test_split_10HZ_stereo.raw",
             {"audio_format": "raw", "sr": 10, "sw": 2, "ch": 2},
         ),
-        filename_audio_format_short_name=(
+        (
             "tests/data/test_split_10HZ_stereo.raw",
             {"fmt": "raw", "sr": 10, "sw": 2, "ch": 2},
         ),
-        filename_no_audio_format=(
-            "tests/data/test_split_10HZ_stereo.raw",
-            {"sr": 10, "sw": 2, "ch": 2},
-        ),
-        filename_no_long_audio_params=(
+        ("tests/data/test_split_10HZ_stereo.raw", {"sr": 10, "sw": 2, "ch": 2}),
+        (
             "tests/data/test_split_10HZ_stereo.raw",
             {"sampling_rate": 10, "sample_width": 2, "channels": 2},
         ),
-        bytes_=(
+        (
             open("tests/data/test_split_10HZ_stereo.raw", "rb").read(),
             {"sr": 10, "sw": 2, "ch": 2},
         ),
-        audio_reader=(
+        (
             AudioDataSource(
                 "tests/data/test_split_10HZ_stereo.raw",
                 sr=10,
@@ -834,7 +785,7 @@
             ),
             {},
         ),
-        audio_region=(
+        (
             AudioRegion(
                 open("tests/data/test_split_10HZ_stereo.raw", "rb").read(),
                 10,
@@ -843,301 +794,242 @@
             ),
             {},
         ),
-        audio_source=(
+        (
             get_audio_source(
                 "tests/data/test_split_10HZ_stereo.raw", sr=10, sw=2, ch=2
             ),
             {},
         ),
+    ],
+    ids=[
+        "filename_audio_format",
+        "filename_audio_format_short_name",
+        "filename_no_audio_format",
+        "filename_no_long_audio_params",
+        "bytes_",
+        "audio_reader",
+        "audio_region",
+        "audio_source",
+    ],
+)
+def test_split_input_type(input, kwargs):
+
+    with open("tests/data/test_split_10HZ_stereo.raw", "rb") as fp:
+        data = fp.read()
+
+    regions = split(
+        input,
+        min_dur=0.2,
+        max_dur=5,
+        max_silence=0.2,
+        drop_trailing_silence=False,
+        strict_min_dur=False,
+        analysis_window=0.1,
+        **kwargs
     )
-    def test_split_input_type(self, input, kwargs):
+    regions = list(regions)
+    expected = [(2, 32), (34, 76)]
+    sample_width = 2
+    err_msg = "Wrong number of regions after split, expected: "
+    err_msg += "{}, found: {}".format(expected, regions)
+    assert len(regions) == len(expected), err_msg
+    for reg, exp in zip(regions, expected):
+        onset, offset = exp
+        exp_data = data[onset * sample_width * 2 : offset * sample_width * 2]
+        assert bytes(reg) == exp_data
 
-        with open("tests/data/test_split_10HZ_stereo.raw", "rb") as fp:
-            data = fp.read()
 
-        regions = split(
-            input,
[e-mail](
+    "min_dur, max_dur, analysis_window",
+    [
+        (0.5, 0.4, 0.1),
+        (0.44, 0.49, 0.1),
+    ],
+    ids=[
+        "min_dur_greater_than_max_dur",
+        "durations_OK_but_wrong_number_of_analysis_windows",
+    ],
+)
+def test_split_wrong_min_max_dur(min_dur, max_dur, analysis_window):
+
+    with pytest.raises(ValueError) as val_err:
+        split(
+            b"0" * 16,
+            min_dur=min_dur,
+            max_dur=max_dur,
+            max_silence=0.2,
+            sr=16000,
+            sw=1,
+            ch=1,
+            analysis_window=analysis_window,
+        )
+
+    err_msg = "'min_dur' ({0} sec.) results in {1} analysis "
+    err_msg += "window(s) ({1} == ceil({0} / {2})) which is "
+    err_msg += "higher than the number of analysis window(s) for "
+    err_msg += "'max_dur' ({3} == floor({4} / {2}))"
+
+    err_msg = err_msg.format(
+        min_dur,
+        math.ceil(min_dur / analysis_window),
+        analysis_window,
+        math.floor(max_dur / analysis_window),
+        max_dur,
+    )
+    assert err_msg == str(val_err.value)
+
+
[e-mail](
+    "max_silence, max_dur, analysis_window",
+    [
+        (0.5, 0.5, 0.1),
+        (0.5, 0.4, 0.1),
+        (0.44, 0.49, 0.1),
+    ],
+    ids=[
+        "max_silence_equals_max_dur",
+        "max_silence_greater_than_max_dur",
+        "durations_OK_but_wrong_number_of_analysis_windows",
+    ],
+)
+def test_split_wrong_max_silence_max_dur(max_silence, max_dur, analysis_window):
+
+    with pytest.raises(ValueError) as val_err:
+        split(
+            b"0" * 16,
+            min_dur=0.2,
+            max_dur=max_dur,
+            max_silence=max_silence,
+            sr=16000,
+            sw=1,
+            ch=1,
+            analysis_window=analysis_window,
+        )
+
+    err_msg = "'max_silence' ({0} sec.) results in {1} analysis "
+    err_msg += "window(s) ({1} == floor({0} / {2})) which is "
+    err_msg += "higher or equal to the number of analysis window(s) for "
+    err_msg += "'max_dur' ({3} == floor({4} / {2}))"
+
+    err_msg = err_msg.format(
+        max_silence,
+        math.floor(max_silence / analysis_window),
+        analysis_window,
+        math.floor(max_dur / analysis_window),
+        max_dur,
+    )
+    assert err_msg == str(val_err.value)
+
+
[e-mail](
+    "wrong_param",
+    [
+        {"min_dur": -1},
+        {"min_dur": 0},
+        {"max_dur": -1},
+        {"max_dur": 0},
+        {"max_silence": -1},
+        {"analysis_window": 0},
+        {"analysis_window": -1},
+    ],
+    ids=[
+        "negative_min_dur",
+        "zero_min_dur",
+        "negative_max_dur",
+        "zero_max_dur",
+        "negative_max_silence",
+        "zero_analysis_window",
+        "negative_analysis_window",
+    ],
+)
+def test_split_negative_temporal_params(wrong_param):
+
+    params = {
+        "min_dur": 0.2,
+        "max_dur": 0.5,
+        "max_silence": 0.1,
+        "analysis_window": 0.1,
+    }
+    params.update(wrong_param)
+    with pytest.raises(ValueError) as val_err:
+        split(None, **params)
+
+    name = set(wrong_param).pop()
+    value = wrong_param[name]
+    err_msg = "'{}' ({}) must be >{} 0".format(
+        name, value, "=" if name == "max_silence" else ""
+    )
+    assert err_msg == str(val_err.value)
+
+
+def test_split_too_small_analysis_window():
+    with pytest.raises(ValueError) as val_err:
+        split(b"", sr=10, sw=1, ch=1, analysis_window=0.09)
+    err_msg = "Too small 'analysis_windows' (0.09) for sampling rate (10)."
+    err_msg += " Analysis windows should at least be 1/10 to cover one "
+    err_msg += "single data sample"
+    assert err_msg == str(val_err.value)
+
+
+def test_split_and_plot():
+
+    with open("tests/data/test_split_10HZ_mono.raw", "rb") as fp:
+        data = fp.read()
+
+    region = AudioRegion(data, 10, 2, 1)
+    with patch("auditok.plotting.plot") as patch_fn:
+        regions = region.split_and_plot(
             min_dur=0.2,
             max_dur=5,
             max_silence=0.2,
             drop_trailing_silence=False,
             strict_min_dur=False,
             analysis_window=0.1,
-            **kwargs
+            sr=10,
+            sw=2,
+            ch=1,
+            eth=50,
         )
-        regions = list(regions)
-        expected = [(2, 32), (34, 76)]
-        sample_width = 2
-        err_msg = "Wrong number of regions after split, expected: "
-        err_msg += "{}, found: {}".format(expected, regions)
-        self.assertEqual(len(regions), len(expected), err_msg)
-        for reg, exp in zip(regions, expected):
-            onset, offset = exp
-            exp_data = data[
-                onset * sample_width * 2 : offset * sample_width * 2
-            ]
-            self.assertEqual(bytes(reg), exp_data)
+    assert patch_fn.called
+    expected = [(2, 16), (17, 31), (34, 76)]
+    sample_width = 2
+    expected_regions = []
+    for onset, offset in expected:
+        onset *= sample_width
+        offset *= sample_width
+        expected_regions.append(AudioRegion(data[onset:offset], 10, 2, 1))
+    assert regions == expected_regions
 
-    @genty_dataset(
-        min_dur_greater_than_max_dur=(0.5, 0.4, 0.1),
-        durations_OK_but_wrong_number_of_analysis_windows=(0.44, 0.49, 0.1),
-    )
-    def test_split_wrong_min_max_dur(self, min_dur, max_dur, analysis_window):
 
-        with self.assertRaises(ValueError) as val_err:
-            split(
-                b"0" * 16,
-                min_dur=min_dur,
-                max_dur=max_dur,
-                max_silence=0.2,
-                sr=16000,
-                sw=1,
-                ch=1,
-                analysis_window=analysis_window,
-            )
+def test_split_exception():
+    with open("tests/data/test_split_10HZ_mono.raw", "rb") as fp:
+        data = fp.read()
+        region = AudioRegion(data, 10, 2, 1)
 
-        err_msg = "'min_dur' ({0} sec.) results in {1} analysis "
-        err_msg += "window(s) ({1} == ceil({0} / {2})) which is "
-        err_msg += "higher than the number of analysis window(s) for "
-        err_msg += "'max_dur' ({3} == floor({4} / {2}))"
+    with pytest.raises(RuntimeWarning):
+        # max_read is not accepted when calling AudioRegion.split
+        region.split(max_read=2)
 
-        err_msg = err_msg.format(
-            min_dur,
-            math.ceil(min_dur / analysis_window),
-            analysis_window,
-            math.floor(max_dur / analysis_window),
-            max_dur,
-        )
-        self.assertEqual(err_msg, str(val_err.exception))
 
-    @genty_dataset(
-        max_silence_equals_max_dur=(0.5, 0.5, 0.1),
-        max_silence_greater_than_max_dur=(0.5, 0.4, 0.1),
-        durations_OK_but_wrong_number_of_analysis_windows=(0.44, 0.49, 0.1),
-    )
-    def test_split_wrong_max_silence_max_dur(
-        self, max_silence, max_dur, analysis_window
-    ):
-
-        with self.assertRaises(ValueError) as val_err:
-            split(
-                b"0" * 16,
-                min_dur=0.2,
-                max_dur=max_dur,
-                max_silence=max_silence,
-                sr=16000,
-                sw=1,
-                ch=1,
-                analysis_window=analysis_window,
-            )
-
-        err_msg = "'max_silence' ({0} sec.) results in {1} analysis "
-        err_msg += "window(s) ({1} == floor({0} / {2})) which is "
-        err_msg += "higher or equal to the number of analysis window(s) for "
-        err_msg += "'max_dur' ({3} == floor({4} / {2}))"
-
-        err_msg = err_msg.format(
-            max_silence,
-            math.floor(max_silence / analysis_window),
-            analysis_window,
-            math.floor(max_dur / analysis_window),
-            max_dur,
-        )
-        self.assertEqual(err_msg, str(val_err.exception))
-
-    @genty_dataset(
-        negative_min_dur=({"min_dur": -1},),
-        zero_min_dur=({"min_dur": 0},),
-        negative_max_dur=({"max_dur": -1},),
-        zero_max_dur=({"max_dur": 0},),
-        negative_max_silence=({"max_silence": -1},),
-        zero_analysis_window=({"analysis_window": 0},),
-        negative_analysis_window=({"analysis_window": -1},),
-    )
-    def test_split_negative_temporal_params(self, wrong_param):
-
-        params = {
-            "min_dur": 0.2,
-            "max_dur": 0.5,
-            "max_silence": 0.1,
-            "analysis_window": 0.1,
-        }
-        params.update(wrong_param)
-        with self.assertRaises(ValueError) as val_err:
-            split(None, **params)
-
-        name = set(wrong_param).pop()
-        value = wrong_param[name]
-        err_msg = "'{}' ({}) must be >{} 0".format(
-            name, value, "=" if name == "max_silence" else ""
-        )
-        self.assertEqual(err_msg, str(val_err.exception))
-
-    def test_split_too_small_analysis_window(self):
-        with self.assertRaises(ValueError) as val_err:
-            split(b"", sr=10, sw=1, ch=1, analysis_window=0.09)
-        err_msg = "Too small 'analysis_windows' (0.09) for sampling rate (10)."
-        err_msg += " Analysis windows should at least be 1/10 to cover one "
-        err_msg += "single data sample"
-        self.assertEqual(err_msg, str(val_err.exception))
-
-    def test_split_and_plot(self):
-
-        with open("tests/data/test_split_10HZ_mono.raw", "rb") as fp:
-            data = fp.read()
-
-        region = AudioRegion(data, 10, 2, 1)
-        with patch("auditok.plotting.plot") as patch_fn:
-            regions = region.split_and_plot(
-                min_dur=0.2,
-                max_dur=5,
-                max_silence=0.2,
-                drop_trailing_silence=False,
-                strict_min_dur=False,
-                analysis_window=0.1,
-                sr=10,
-                sw=2,
-                ch=1,
-                eth=50,
-            )
-        self.assertTrue(patch_fn.called)
-        expected = [(2, 16), (17, 31), (34, 76)]
-        sample_width = 2
-        expected_regions = []
-        for (onset, offset) in expected:
-            onset *= sample_width
-            offset *= sample_width
-            expected_regions.append(AudioRegion(data[onset:offset], 10, 2, 1))
-        self.assertEqual(regions, expected_regions)
-
-    def test_split_exception(self):
-        with open("tests/data/test_split_10HZ_mono.raw", "rb") as fp:
-            data = fp.read()
-            region = AudioRegion(data, 10, 2, 1)
-
-        with self.assertRaises(RuntimeWarning):
-            # max_read is not accepted when calling AudioRegion.split
-            region.split(max_read=2)
-
-
-@genty
-class TestAudioRegion(TestCase):
-    @genty_dataset(
-        simple=(b"\0" * 8000, 0, 8000, 1, 1, 1, 1, 1000),
-        one_ms_less_than_1_sec=(
-            b"\0" * 7992,
-            0,
-            8000,
-            1,
-            1,
-            0.999,
-            0.999,
-            999,
-        ),
-        tree_quarter_ms_less_than_1_sec=(
-            b"\0" * 7994,
-            0,
-            8000,
-            1,
-            1,
-            0.99925,
-            0.99925,
-            999,
-        ),
-        half_ms_less_than_1_sec=(
-            b"\0" * 7996,
-            0,
-            8000,
-            1,
-            1,
-            0.9995,
-            0.9995,
-            1000,
-        ),
-        quarter_ms_less_than_1_sec=(
-            b"\0" * 7998,
-            0,
-            8000,
-            1,
-            1,
-            0.99975,
-            0.99975,
-            1000,
-        ),
-        simple_sample_width_2=(b"\0" * 8000 * 2, 0, 8000, 2, 1, 1, 1, 1000),
-        simple_stereo=(b"\0" * 8000 * 2, 0, 8000, 1, 2, 1, 1, 1000),
-        simple_multichannel=(b"\0" * 8000 * 5, 0, 8000, 1, 5, 1, 1, 1000),
-        simple_sample_width_2_multichannel=(
-            b"\0" * 8000 * 2 * 5,
-            0,
-            8000,
-            2,
-            5,
-            1,
-            1,
-            1000,
-        ),
-        one_ms_less_than_1s_sw_2_multichannel=(
-            b"\0" * 7992 * 2 * 5,
-            0,
-            8000,
-            2,
-            5,
-            0.999,
-            0.999,
-            999,
-        ),
-        tree_qrt_ms_lt_1_s_sw_2_multichannel=(
-            b"\0" * 7994 * 2 * 5,
-            0,
-            8000,
-            2,
-            5,
-            0.99925,
-            0.99925,
-            999,
-        ),
-        half_ms_lt_1s_sw_2_multichannel=(
-            b"\0" * 7996 * 2 * 5,
-            0,
-            8000,
-            2,
-            5,
-            0.9995,
-            0.9995,
-            1000,
-        ),
-        quarter_ms_lt_1s_sw_2_multichannel=(
-            b"\0" * 7998 * 2 * 5,
-            0,
-            8000,
-            2,
-            5,
-            0.99975,
-            0.99975,
-            1000,
-        ),
-        arbitrary_length_1=(
-            b"\0" * int(8000 * 1.33),
-            2.7,
-            8000,
-            1,
-            1,
-            4.03,
-            1.33,
-            1330,
-        ),
-        arbitrary_length_2=(
-            b"\0" * int(8000 * 0.476),
-            11.568,
-            8000,
-            1,
-            1,
-            12.044,
-            0.476,
-            476,
-        ),
-        arbitrary_length_sw_2_multichannel=(
[e-mail](
+    "data, start, sampling_rate, sample_width, channels, expected_end, expected_duration_s, expected_duration_ms",
+    [
+        (b"\0" * 8000, 0, 8000, 1, 1, 1, 1, 1000),
+        (b"\0" * 7992, 0, 8000, 1, 1, 0.999, 0.999, 999),
+        (b"\0" * 7994, 0, 8000, 1, 1, 0.99925, 0.99925, 999),
+        (b"\0" * 7996, 0, 8000, 1, 1, 0.9995, 0.9995, 1000),
+        (b"\0" * 7998, 0, 8000, 1, 1, 0.99975, 0.99975, 1000),
+        (b"\0" * 8000 * 2, 0, 8000, 2, 1, 1, 1, 1000),
+        (b"\0" * 8000 * 2, 0, 8000, 1, 2, 1, 1, 1000),
+        (b"\0" * 8000 * 5, 0, 8000, 1, 5, 1, 1, 1000),
+        (b"\0" * 8000 * 2 * 5, 0, 8000, 2, 5, 1, 1, 1000),
+        (b"\0" * 7992 * 2 * 5, 0, 8000, 2, 5, 0.999, 0.999, 999),
+        (b"\0" * 7994 * 2 * 5, 0, 8000, 2, 5, 0.99925, 0.99925, 999),
+        (b"\0" * 7996 * 2 * 5, 0, 8000, 2, 5, 0.9995, 0.9995, 1000),
+        (b"\0" * 7998 * 2 * 5, 0, 8000, 2, 5, 0.99975, 0.99975, 1000),
+        (b"\0" * int(8000 * 1.33), 2.7, 8000, 1, 1, 4.03, 1.33, 1330),
+        (b"\0" * int(8000 * 0.476), 11.568, 8000, 1, 1, 12.044, 0.476, 476),
+        (
             b"\0" * int(8000 * 1.711) * 2 * 3,
             9.415,
             8000,
@@ -1147,7 +1039,7 @@
             1.711,
             1711,
         ),
-        arbitrary_samplig_rate=(
+        (
             b"\0" * int(3172 * 1.318),
             17.236,
             3172,
@@ -1157,7 +1049,7 @@
             int(3172 * 1.318) / 3172,
             1318,
         ),
-        arbitrary_sr_sw_2_multichannel=(
+        (
             b"\0" * int(11317 * 0.716) * 2 * 3,
             18.811,
             11317,
@@ -1167,533 +1059,641 @@
             int(11317 * 0.716) / 11317,
             716,
         ),
+    ],
+    ids=[
+        "simple",
+        "one_ms_less_than_1_sec",
+        "tree_quarter_ms_less_than_1_sec",
+        "half_ms_less_than_1_sec",
+        "quarter_ms_less_than_1_sec",
+        "simple_sample_width_2",
+        "simple_stereo",
+        "simple_multichannel",
+        "simple_sample_width_2_multichannel",
+        "one_ms_less_than_1s_sw_2_multichannel",
+        "tree_qrt_ms_lt_1_s_sw_2_multichannel",
+        "half_ms_lt_1s_sw_2_multichannel",
+        "quarter_ms_lt_1s_sw_2_multichannel",
+        "arbitrary_length_1",
+        "arbitrary_length_2",
+        "arbitrary_length_sw_2_multichannel",
+        "arbitrary_samplig_rate",
+        "arbitrary_sr_sw_2_multichannel",
+    ],
+)
+def test_creation(
+    data,
+    start,
+    sampling_rate,
+    sample_width,
+    channels,
+    expected_end,
+    expected_duration_s,
+    expected_duration_ms,
+):
+    meta = {"start": start, "end": expected_end}
+    region = AudioRegion(data, sampling_rate, sample_width, channels, meta)
+    assert region.sampling_rate == sampling_rate
+    assert region.sr == sampling_rate
+    assert region.sample_width == sample_width
+    assert region.sw == sample_width
+    assert region.channels == channels
+    assert region.ch == channels
+    assert region.meta.start == start
+    assert region.meta.end == expected_end
+    assert region.duration == expected_duration_s
+    assert len(region.ms) == expected_duration_ms
+    assert bytes(region) == data
+
+
+def test_creation_invalid_data_exception():
+    with pytest.raises(AudioParameterError) as audio_param_err:
+        _ = AudioRegion(
+            data=b"ABCDEFGHI", sampling_rate=8, sample_width=2, channels=1
+        )
+    assert str(audio_param_err.value) == (
+        "The length of audio data must be an integer "
+        "multiple of `sample_width * channels`"
     )
-    def test_creation(
-        self,
-        data,
-        start,
-        sampling_rate,
-        sample_width,
-        channels,
-        expected_end,
-        expected_duration_s,
-        expected_duration_ms,
-    ):
-        meta = {"start": start, "end": expected_end}
-        region = AudioRegion(data, sampling_rate, sample_width, channels, meta)
-        self.assertEqual(region.sampling_rate, sampling_rate)
-        self.assertEqual(region.sr, sampling_rate)
-        self.assertEqual(region.sample_width, sample_width)
-        self.assertEqual(region.sw, sample_width)
-        self.assertEqual(region.channels, channels)
-        self.assertEqual(region.ch, channels)
-        self.assertEqual(region.meta.start, start)
-        self.assertEqual(region.meta.end, expected_end)
-        self.assertEqual(region.duration, expected_duration_s)
-        self.assertEqual(len(region.ms), expected_duration_ms)
-        self.assertEqual(bytes(region), data)
 
-    def test_creation_invalid_data_exception(self):
-        with self.assertRaises(AudioParameterError) as audio_param_err:
-            _ = AudioRegion(
-                data=b"ABCDEFGHI", sampling_rate=8, sample_width=2, channels=1
-            )
-        self.assertEqual(
-            "The length of audio data must be an integer "
-            "multiple of `sample_width * channels`",
-            str(audio_param_err.exception),
-        )
 
-    @genty_dataset(
-        no_skip_read_all=(0, -1),
-        no_skip_read_all_stereo=(0, -1, 2),
-        skip_2_read_all=(2, -1),
-        skip_2_read_all_None=(2, None),
-        skip_2_read_3=(2, 3),
-        skip_2_read_3_5_stereo=(2, 3.5, 2),
-        skip_2_4_read_3_5_stereo=(2.4, 3.5, 2),
[e-mail](
+    "skip, max_read, channels",
+    [
+        (0, -1, 1),
+        (0, -1, 2),
+        (2, -1, 1),
+        (2, None, 1),
+        (2, 3, 1),
+        (2, 3.5, 2),
+        (2.4, 3.5, 2),
+    ],
+    ids=[
+        "no_skip_read_all",
+        "no_skip_read_all_stereo",
+        "skip_2_read_all",
+        "skip_2_read_all_None",
+        "skip_2_read_3",
+        "skip_2_read_3_5_stereo",
+        "skip_2_4_read_3_5_stereo",
+    ],
+)
+def test_load_AudioRegion(skip, max_read, channels):
+    sampling_rate = 10
+    sample_width = 2
+    filename = "tests/data/test_split_10HZ_{}.raw"
+    filename = filename.format("mono" if channels == 1 else "stereo")
+    region = AudioRegion.load(
+        filename,
+        skip=skip,
+        max_read=max_read,
+        sr=sampling_rate,
+        sw=sample_width,
+        ch=channels,
     )
-    def test_load(self, skip, max_read, channels=1):
-        sampling_rate = 10
-        sample_width = 2
-        filename = "tests/data/test_split_10HZ_{}.raw"
-        filename = filename.format("mono" if channels == 1 else "stereo")
-        region = AudioRegion.load(
-            filename,
-            skip=skip,
-            max_read=max_read,
-            sr=sampling_rate,
-            sw=sample_width,
-            ch=channels,
-        )
-        with open(filename, "rb") as fp:
-            fp.read(round(skip * sampling_rate * sample_width * channels))
-            if max_read is None or max_read < 0:
-                to_read = -1
-            else:
-                to_read = round(
-                    max_read * sampling_rate * sample_width * channels
-                )
-            expected = fp.read(to_read)
-        self.assertEqual(bytes(region), expected)
+    with open(filename, "rb") as fp:
+        fp.read(round(skip * sampling_rate * sample_width * channels))
+        if max_read is None or max_read < 0:
+            to_read = -1
+        else:
+            to_read = round(max_read * sampling_rate * sample_width * channels)
+        expected = fp.read(to_read)
+    assert bytes(region) == expected
 
-    def test_load_from_microphone(self):
-        with patch("auditok.io.PyAudioSource") as patch_pyaudio_source:
-            with patch("auditok.core.AudioReader.read") as patch_reader:
-                patch_reader.return_value = None
-                with patch(
-                    "auditok.core.AudioRegion.__init__"
-                ) as patch_AudioRegion:
-                    patch_AudioRegion.return_value = None
-                    AudioRegion.load(
-                        None, skip=0, max_read=5, sr=16000, sw=2, ch=1
-                    )
-        self.assertTrue(patch_pyaudio_source.called)
-        self.assertTrue(patch_reader.called)
-        self.assertTrue(patch_AudioRegion.called)
 
-    @genty_dataset(none=(None,), negative=(-1,))
-    def test_load_from_microphone_without_max_read_exception(self, max_read):
-        with self.assertRaises(ValueError) as val_err:
-            AudioRegion.load(None, max_read=max_read, sr=16000, sw=2, ch=1)
-        self.assertEqual(
-            "'max_read' should not be None when reading from microphone",
-            str(val_err.exception),
-        )
+def test_load_from_microphone():
+    with patch("auditok.io.PyAudioSource") as patch_pyaudio_source:
+        with patch("auditok.core.AudioReader.read") as patch_reader:
+            patch_reader.return_value = None
+            with patch(
+                "auditok.core.AudioRegion.__init__"
+            ) as patch_AudioRegion:
+                patch_AudioRegion.return_value = None
+                AudioRegion.load(None, skip=0, max_read=5, sr=16000, sw=2, ch=1)
+    assert patch_pyaudio_source.called
+    assert patch_reader.called
+    assert patch_AudioRegion.called
 
-    def test_load_from_microphone_with_nonzero_skip_exception(self):
-        with self.assertRaises(ValueError) as val_err:
-            AudioRegion.load(None, skip=1, max_read=5, sr=16000, sw=2, ch=1)
-        self.assertEqual(
-            "'skip' should be 0 when reading from microphone",
-            str(val_err.exception),
-        )
 
-    @genty_dataset(
-        simple=("output.wav", 1.230, "output.wav"),
-        start=("output_{meta.start:g}.wav", 1.230, "output_1.23.wav"),
-        start_2=("output_{meta.start}.wav", 1.233712, "output_1.233712.wav"),
-        start_3=("output_{meta.start:.2f}.wav", 1.2300001, "output_1.23.wav"),
-        start_4=("output_{meta.start:.3f}.wav", 1.233712, "output_1.234.wav"),
-        start_5=(
-            "output_{meta.start:.8f}.wav",
-            1.233712,
-            "output_1.23371200.wav",
-        ),
-        start_end_duration=(
[e-mail](
+    "max_read",
+    [
+        None,
+        -1,
+    ],
+    ids=[
+        "none",
+        "negative",
+    ],
+)
+def test_load_from_microphone_without_max_read_exception(max_read):
+    with pytest.raises(ValueError) as val_err:
+        AudioRegion.load(None, max_read=max_read, sr=16000, sw=2, ch=1)
+    assert str(val_err.value) == (
+        "'max_read' should not be None when reading from microphone"
+    )
+
+
+def test_load_from_microphone_with_nonzero_skip_exception():
+    with pytest.raises(ValueError) as val_err:
+        AudioRegion.load(None, skip=1, max_read=5, sr=16000, sw=2, ch=1)
+    assert str(val_err.value) == (
+        "'skip' should be 0 when reading from microphone"
+    )
+
+
[e-mail](
+    "format, start, expected",
+    [
+        ("output.wav", 1.230, "output.wav"),
+        ("output_{meta.start:g}.wav", 1.230, "output_1.23.wav"),
+        ("output_{meta.start}.wav", 1.233712, "output_1.233712.wav"),
+        ("output_{meta.start:.2f}.wav", 1.2300001, "output_1.23.wav"),
+        ("output_{meta.start:.3f}.wav", 1.233712, "output_1.234.wav"),
+        ("output_{meta.start:.8f}.wav", 1.233712, "output_1.23371200.wav"),
+        (
             "output_{meta.start}_{meta.end}_{duration}.wav",
             1.455,
             "output_1.455_2.455_1.0.wav",
         ),
-        start_end_duration_2=(
+        (
             "output_{meta.start}_{meta.end}_{duration}.wav",
             1.455321,
             "output_1.455321_2.455321_1.0.wav",
         ),
-    )
-    def test_save(self, format, start, expected):
-        with TemporaryDirectory() as tmpdir:
-            region = AudioRegion(b"0" * 160, 160, 1, 1)
-            meta = {"start": start, "end": start + region.duration}
-            region.meta = meta
-            format = os.path.join(tmpdir, format)
-            filename = region.save(format)[len(tmpdir) + 1 :]
-            self.assertEqual(filename, expected)
+    ],
+    ids=[
+        "simple",
+        "start",
+        "start_2",
+        "start_3",
+        "start_4",
+        "start_5",
+        "start_end_duration",
+        "start_end_duration_2",
+    ],
+)
+def test_save(format, start, expected):
+    with TemporaryDirectory() as tmpdir:
+        region = AudioRegion(b"0" * 160, 160, 1, 1)
+        meta = {"start": start, "end": start + region.duration}
+        region.meta = meta
+        format = os.path.join(tmpdir, format)
+        filename = region.save(format)[len(tmpdir) + 1 :]
+        assert filename == expected
 
-    def test_save_file_exists_exception(self):
-        with TemporaryDirectory() as tmpdir:
-            filename = os.path.join(tmpdir, "output.wav")
-            open(filename, "w").close()
-            region = AudioRegion(b"0" * 160, 160, 1, 1)
-            with self.assertRaises(FileExistsError):
-                region.save(filename, exists_ok=False)
 
-    @genty_dataset(
-        first_half=(
+def test_save_file_exists_exception():
+    with TemporaryDirectory() as tmpdir:
+        filename = os.path.join(tmpdir, "output.wav")
+        open(filename, "w").close()
+        region = AudioRegion(b"0" * 160, 160, 1, 1)
+        with pytest.raises(FileExistsError):
+            region.save(filename, exists_ok=False)
+
+
[e-mail](
+    "region, slice_, expected_data",
+    [
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(0, 500),
             b"a" * 80,
         ),
-        second_half=(
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(500, None),
             b"b" * 80,
         ),
-        second_half_negative=(
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(-500, None),
             b"b" * 80,
         ),
-        middle=(
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(200, 750),
             b"a" * 48 + b"b" * 40,
         ),
-        middle_negative=(
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(-800, -250),
             b"a" * 48 + b"b" * 40,
         ),
-        middle_sw2=(
+        (
             AudioRegion(b"a" * 160 + b"b" * 160, 160, 2, 1),
             slice(200, 750),
             b"a" * 96 + b"b" * 80,
         ),
-        middle_ch2=(
+        (
             AudioRegion(b"a" * 160 + b"b" * 160, 160, 1, 2),
             slice(200, 750),
             b"a" * 96 + b"b" * 80,
         ),
-        middle_sw2_ch2=(
+        (
             AudioRegion(b"a" * 320 + b"b" * 320, 160, 2, 2),
             slice(200, 750),
             b"a" * 192 + b"b" * 160,
         ),
-        but_first_sample=(
+        (
             AudioRegion(b"a" * 4000 + b"b" * 4000, 8000, 1, 1),
             slice(1, None),
             b"a" * (4000 - 8) + b"b" * 4000,
         ),
-        but_first_sample_negative=(
+        (
             AudioRegion(b"a" * 4000 + b"b" * 4000, 8000, 1, 1),
             slice(-999, None),
             b"a" * (4000 - 8) + b"b" * 4000,
         ),
-        but_last_sample=(
+        (
             AudioRegion(b"a" * 4000 + b"b" * 4000, 8000, 1, 1),
             slice(0, 999),
             b"a" * 4000 + b"b" * (4000 - 8),
         ),
-        but_last_sample_negative=(
+        (
             AudioRegion(b"a" * 4000 + b"b" * 4000, 8000, 1, 1),
             slice(0, -1),
             b"a" * 4000 + b"b" * (4000 - 8),
         ),
-        big_negative_start=(
-            AudioRegion(b"a" * 160, 160, 1, 1),
-            slice(-5000, None),
-            b"a" * 160,
-        ),
-        big_negative_stop=(
-            AudioRegion(b"a" * 160, 160, 1, 1),
-            slice(None, -1500),
-            b"",
-        ),
-        empty=(
-            AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
-            slice(0, 0),
-            b"",
-        ),
-        empty_start_stop_reversed=(
-            AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
-            slice(200, 100),
-            b"",
-        ),
-        empty_big_positive_start=(
-            AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
-            slice(2000, 3000),
-            b"",
-        ),
-        empty_negative_reversed=(
-            AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
-            slice(-100, -200),
-            b"",
-        ),
-        empty_big_negative_stop=(
-            AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
-            slice(0, -2000),
-            b"",
-        ),
-        arbitrary_sampling_rate=(
+        (AudioRegion(b"a" * 160, 160, 1, 1), slice(-5000, None), b"a" * 160),
+        (AudioRegion(b"a" * 160, 160, 1, 1), slice(None, -1500), b""),
+        (AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1), slice(0, 0), b""),
+        (AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1), slice(200, 100), b""),
+        (AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1), slice(2000, 3000), b""),
+        (AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1), slice(-100, -200), b""),
+        (AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1), slice(0, -2000), b""),
+        (
             AudioRegion(b"a" * 124 + b"b" * 376, 1234, 1, 1),
             slice(100, 200),
             b"a" + b"b" * 123,
         ),
-    )
-    def test_region_temporal_slicing(self, region, slice_, expected_data):
-        sub_region = region.millis[slice_]
-        self.assertEqual(bytes(sub_region), expected_data)
-        start_sec = slice_.start / 1000 if slice_.start is not None else None
-        stop_sec = slice_.stop / 1000 if slice_.stop is not None else None
-        sub_region = region.sec[start_sec:stop_sec]
-        self.assertEqual(bytes(sub_region), expected_data)
+    ],
+    ids=[
+        "first_half",
+        "second_half",
+        "second_half_negative",
+        "middle",
+        "middle_negative",
+        "middle_sw2",
+        "middle_ch2",
+        "middle_sw2_ch2",
+        "but_first_sample",
+        "but_first_sample_negative",
+        "but_last_sample",
+        "but_last_sample_negative",
+        "big_negative_start",
+        "big_negative_stop",
+        "empty",
+        "empty_start_stop_reversed",
+        "empty_big_positive_start",
+        "empty_negative_reversed",
+        "empty_big_negative_stop",
+        "arbitrary_sampling_rate",
+    ],
+)
+def test_region_temporal_slicing(region, slice_, expected_data):
+    sub_region = region.millis[slice_]
+    assert bytes(sub_region) == expected_data
+    start_sec = slice_.start / 1000 if slice_.start is not None else None
+    stop_sec = slice_.stop / 1000 if slice_.stop is not None else None
+    sub_region = region.sec[start_sec:stop_sec]
+    assert bytes(sub_region) == expected_data
 
-    @genty_dataset(
-        first_half=(
+
[e-mail](
+    "region, slice_, time_shift, expected_data",
+    [
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(0, 80),
             0,
             b"a" * 80,
         ),
-        second_half=(
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(80, None),
             0.5,
             b"b" * 80,
         ),
-        second_half_negative=(
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(-80, None),
             0.5,
             b"b" * 80,
         ),
-        middle=(
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(160 // 5, 160 // 4 * 3),
             0.2,
             b"a" * 48 + b"b" * 40,
         ),
-        middle_negative=(
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(-160 // 5 * 4, -160 // 4),
             0.2,
             b"a" * 48 + b"b" * 40,
         ),
-        middle_sw2=(
+        (
             AudioRegion(b"a" * 160 + b"b" * 160, 160, 2, 1),
             slice(160 // 5, 160 // 4 * 3),
             0.2,
             b"a" * 96 + b"b" * 80,
         ),
-        middle_ch2=(
+        (
             AudioRegion(b"a" * 160 + b"b" * 160, 160, 1, 2),
             slice(160 // 5, 160 // 4 * 3),
             0.2,
             b"a" * 96 + b"b" * 80,
         ),
-        middle_sw2_ch2=(
+        (
             AudioRegion(b"a" * 320 + b"b" * 320, 160, 2, 2),
             slice(160 // 5, 160 // 4 * 3),
             0.2,
             b"a" * 192 + b"b" * 160,
         ),
-        but_first_sample=(
+        (
             AudioRegion(b"a" * 4000 + b"b" * 4000, 8000, 1, 1),
             slice(1, None),
             1 / 8000,
             b"a" * (4000 - 1) + b"b" * 4000,
         ),
-        but_first_sample_negative=(
+        (
             AudioRegion(b"a" * 4000 + b"b" * 4000, 8000, 1, 1),
             slice(-7999, None),
             1 / 8000,
             b"a" * (4000 - 1) + b"b" * 4000,
         ),
-        but_last_sample=(
+        (
             AudioRegion(b"a" * 4000 + b"b" * 4000, 8000, 1, 1),
             slice(0, 7999),
             0,
             b"a" * 4000 + b"b" * (4000 - 1),
         ),
-        but_last_sample_negative=(
+        (
             AudioRegion(b"a" * 4000 + b"b" * 4000, 8000, 1, 1),
             slice(0, -1),
             0,
             b"a" * 4000 + b"b" * (4000 - 1),
         ),
-        big_negative_start=(
-            AudioRegion(b"a" * 160, 160, 1, 1),
-            slice(-1600, None),
-            0,
-            b"a" * 160,
-        ),
-        big_negative_stop=(
-            AudioRegion(b"a" * 160, 160, 1, 1),
-            slice(None, -1600),
-            0,
-            b"",
-        ),
-        empty=(
-            AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
-            slice(0, 0),
-            0,
-            b"",
-        ),
-        empty_start_stop_reversed=(
+        (AudioRegion(b"a" * 160, 160, 1, 1), slice(-1600, None), 0, b"a" * 160),
+        (AudioRegion(b"a" * 160, 160, 1, 1), slice(None, -1600), 0, b""),
+        (AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1), slice(0, 0), 0, b""),
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(80, 40),
             0.5,
             b"",
         ),
-        empty_big_positive_start=(
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(1600, 3000),
             10,
             b"",
         ),
-        empty_negative_reversed=(
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(-16, -32),
             0.9,
             b"",
         ),
-        empty_big_negative_stop=(
+        (
             AudioRegion(b"a" * 80 + b"b" * 80, 160, 1, 1),
             slice(0, -2000),
             0,
             b"",
         ),
-        arbitrary_sampling_rate=(
+        (
             AudioRegion(b"a" * 124 + b"b" * 376, 1235, 1, 1),
             slice(100, 200),
             100 / 1235,
             b"a" * 24 + b"b" * 76,
         ),
-        arbitrary_sampling_rate_middle_sw2_ch2=(
+        (
             AudioRegion(b"a" * 124 + b"b" * 376, 1235, 2, 2),
             slice(25, 50),
             25 / 1235,
             b"a" * 24 + b"b" * 76,
         ),
+    ],
+    ids=[
+        "first_half",
+        "second_half",
+        "second_half_negative",
+        "middle",
+        "middle_negative",
+        "middle_sw2",
+        "middle_ch2",
+        "middle_sw2_ch2",
+        "but_first_sample",
+        "but_first_sample_negative",
+        "but_last_sample",
+        "but_last_sample_negative",
+        "big_negative_start",
+        "big_negative_stop",
+        "empty",
+        "empty_start_stop_reversed",
+        "empty_big_positive_start",
+        "empty_negative_reversed",
+        "empty_big_negative_stop",
+        "arbitrary_sampling_rate",
+        "arbitrary_sampling_rate_middle_sw2_ch2",
+    ],
+)
+def test_region_sample_slicing(region, slice_, time_shift, expected_data):
+    sub_region = region[slice_]
+    assert bytes(sub_region) == expected_data
+
+
[e-mail](
+    "sampling_rate, sample_width, channels",
+    [
+        (8000, 1, 1),
+        (8000, 2, 2),
+        (5413, 2, 3),
+    ],
+    ids=[
+        "simple",
+        "stereo_sw_2",
+        "arbitrary_sr_multichannel",
+    ],
+)
+def test_concatenation(sampling_rate, sample_width, channels):
+
+    region_1, region_2 = _make_random_length_regions(
+        [b"a", b"b"], sampling_rate, sample_width, channels
     )
-    def test_region_sample_slicing(
-        self, region, slice_, time_shift, expected_data
-    ):
-        sub_region = region[slice_]
-        self.assertEqual(bytes(sub_region), expected_data)
+    expected_duration = region_1.duration + region_2.duration
+    expected_data = bytes(region_1) + bytes(region_2)
+    concat_region = region_1 + region_2
+    assert concat_region.duration == pytest.approx(expected_duration, abs=1e-6)
+    assert bytes(concat_region) == expected_data
 
-    @genty_dataset(
-        simple=(8000, 1, 1),
-        stereo_sw_2=(8000, 2, 2),
-        arbitrary_sr_multichannel=(5413, 2, 3),
+
[e-mail](
+    "sampling_rate, sample_width, channels",
+    [
+        (8000, 1, 1),
+        (8000, 2, 2),
+        (5413, 2, 3),
+    ],
+    ids=[
+        "simple",
+        "stereo_sw_2",
+        "arbitrary_sr_multichannel",
+    ],
+)
+def test_concatenation_many(sampling_rate, sample_width, channels):
+
+    regions = _make_random_length_regions(
+        [b"a", b"b", b"c"], sampling_rate, sample_width, channels
     )
-    def test_concatenation(self, sampling_rate, sample_width, channels):
+    expected_duration = sum(r.duration for r in regions)
+    expected_data = b"".join(bytes(r) for r in regions)
+    concat_region = sum(regions)
 
-        region_1, region_2 = _make_random_length_regions(
-            [b"a", b"b"], sampling_rate, sample_width, channels
-        )
-        expected_duration = region_1.duration + region_2.duration
-        expected_data = bytes(region_1) + bytes(region_2)
-        concat_region = region_1 + region_2
-        self.assertAlmostEqual(
-            concat_region.duration, expected_duration, places=6
-        )
-        self.assertEqual(bytes(concat_region), expected_data)
+    assert concat_region.duration == pytest.approx(expected_duration, abs=1e-6)
+    assert bytes(concat_region) == expected_data
 
-    @genty_dataset(
-        simple=(8000, 1, 1),
-        stereo_sw_2=(8000, 2, 2),
-        arbitrary_sr_multichannel=(5413, 2, 3),
+
+def test_concatenation_different_sampling_rate_error():
+
+    region_1 = AudioRegion(b"a" * 100, 8000, 1, 1)
+    region_2 = AudioRegion(b"b" * 100, 3000, 1, 1)
+
+    with pytest.raises(ValueError) as val_err:
+        region_1 + region_2
+    assert str(val_err.value) == (
+        "Can only concatenate AudioRegions of the same "
+        "sampling rate (8000 != 3000)"
     )
-    def test_concatenation_many(self, sampling_rate, sample_width, channels):
 
-        regions = _make_random_length_regions(
-            [b"a", b"b", b"c"], sampling_rate, sample_width, channels
-        )
-        expected_duration = sum(r.duration for r in regions)
-        expected_data = b"".join(bytes(r) for r in regions)
-        concat_region = sum(regions)
 
-        self.assertAlmostEqual(
-            concat_region.duration, expected_duration, places=6
-        )
-        self.assertEqual(bytes(concat_region), expected_data)
+def test_concatenation_different_sample_width_error():
 
-    def test_concatenation_different_sampling_rate_error(self):
+    region_1 = AudioRegion(b"a" * 100, 8000, 2, 1)
+    region_2 = AudioRegion(b"b" * 100, 8000, 4, 1)
 
-        region_1 = AudioRegion(b"a" * 100, 8000, 1, 1)
-        region_2 = AudioRegion(b"b" * 100, 3000, 1, 1)
+    with pytest.raises(ValueError) as val_err:
+        region_1 + region_2
+    assert str(val_err.value) == (
+        "Can only concatenate AudioRegions of the same " "sample width (2 != 4)"
+    )
 
-        with self.assertRaises(ValueError) as val_err:
-            region_1 + region_2
-        self.assertEqual(
-            "Can only concatenate AudioRegions of the same "
-            "sampling rate (8000 != 3000)",
-            str(val_err.exception),
-        )
 
-    def test_concatenation_different_sample_width_error(self):
+def test_concatenation_different_number_of_channels_error():
 
-        region_1 = AudioRegion(b"a" * 100, 8000, 2, 1)
-        region_2 = AudioRegion(b"b" * 100, 8000, 4, 1)
+    region_1 = AudioRegion(b"a" * 100, 8000, 1, 1)
+    region_2 = AudioRegion(b"b" * 100, 8000, 1, 2)
 
-        with self.assertRaises(ValueError) as val_err:
-            region_1 + region_2
-        self.assertEqual(
-            "Can only concatenate AudioRegions of the same "
-            "sample width (2 != 4)",
-            str(val_err.exception),
-        )
+    with pytest.raises(ValueError) as val_err:
+        region_1 + region_2
+    assert str(val_err.value) == (
+        "Can only concatenate AudioRegions of the same "
+        "number of channels (1 != 2)"
+    )
 
-    def test_concatenation_different_number_of_channels_error(self):
 
-        region_1 = AudioRegion(b"a" * 100, 8000, 1, 1)
-        region_2 = AudioRegion(b"b" * 100, 8000, 1, 2)
[e-mail](
+    "duration, expected_duration, expected_len, expected_len_ms",
+    [
+        (0.01, 0.03, 240, 30),
+        (0.00575, 0.01725, 138, 17),
+        (0.00625, 0.01875, 150, 19),
+    ],
+    ids=[
+        "simple",
+        "rounded_len_floor",
+        "rounded_len_ceil",
+    ],
+)
+def test_multiplication(
+    duration, expected_duration, expected_len, expected_len_ms
+):
+    sw = 2
+    data = b"0" * int(duration * 8000 * sw)
+    region = AudioRegion(data, 8000, sw, 1)
+    m_region = 1 * region * 3
+    assert bytes(m_region) == data * 3
+    assert m_region.sr == 8000
+    assert m_region.sw == 2
+    assert m_region.ch == 1
+    assert m_region.duration == expected_duration
+    assert len(m_region) == expected_len
+    assert m_region.len == expected_len
+    assert m_region.s.len == expected_duration
+    assert len(m_region.ms) == expected_len_ms
+    assert m_region.ms.len == expected_len_ms
 
-        with self.assertRaises(ValueError) as val_err:
-            region_1 + region_2
-        self.assertEqual(
-            "Can only concatenate AudioRegions of the same "
-            "number of channels (1 != 2)",
-            str(val_err.exception),
-        )
 
-    @genty_dataset(
-        simple=(0.01, 0.03, 240, 30),
-        rounded_len_floor=(0.00575, 0.01725, 138, 17),
-        rounded_len_ceil=(0.00625, 0.01875, 150, 19),
-    )
-    def test_multiplication(
-        self, duration, expected_duration, expected_len, expected_len_ms
-    ):
-        sw = 2
-        data = b"0" * int(duration * 8000 * sw)
-        region = AudioRegion(data, 8000, sw, 1)
-        m_region = 1 * region * 3
-        self.assertEqual(bytes(m_region), data * 3)
-        self.assertEqual(m_region.sr, 8000)
-        self.assertEqual(m_region.sw, 2)
-        self.assertEqual(m_region.ch, 1)
-        self.assertEqual(m_region.duration, expected_duration)
-        self.assertEqual(len(m_region), expected_len)
-        self.assertEqual(m_region.len, expected_len)
-        self.assertEqual(m_region.s.len, expected_duration)
-        self.assertEqual(len(m_region.ms), expected_len_ms)
-        self.assertEqual(m_region.ms.len, expected_len_ms)
[e-mail](
+    "factor, _type",
+    [
+        ("x", "str"),
+        (1.4, "float"),
+    ],
+    ids=[
+        "_str",
+        "_float",
+    ],
+)
+def test_multiplication_non_int(factor, _type):
+    with pytest.raises(TypeError) as type_err:
+        AudioRegion(b"0" * 80, 8000, 1, 1) * factor
+        err_msg = "Can't multiply AudioRegion by a non-int of type '{}'"
+        assert err_msg.format(_type) == str(type_err.value)
 
-    @genty_dataset(_str=("x", "str"), _float=(1.4, "float"))
-    def test_multiplication_non_int(self, factor, _type):
-        with self.assertRaises(TypeError) as type_err:
-            AudioRegion(b"0" * 80, 8000, 1, 1) * factor
-            err_msg = "Can't multiply AudioRegion by a non-int of type '{}'"
-            self.assertEqual(err_msg.format(_type), str(type_err.exception))
 
-    @genty_dataset(
-        simple=([b"a" * 80, b"b" * 80],),
-        extra_samples_1=([b"a" * 31, b"b" * 31, b"c" * 30],),
-        extra_samples_2=([b"a" * 31, b"b" * 30, b"c" * 30],),
-        extra_samples_3=([b"a" * 11, b"b" * 11, b"c" * 10, b"c" * 10],),
-    )
-    def test_truediv(self, data):
[e-mail](
+    "data",
+    [
+        [b"a" * 80, b"b" * 80],
+        [b"a" * 31, b"b" * 31, b"c" * 30],
+        [b"a" * 31, b"b" * 30, b"c" * 30],
+        [b"a" * 11, b"b" * 11, b"c" * 10, b"c" * 10],
+    ],
+    ids=[
+        "simple",
+        "extra_samples_1",
+        "extra_samples_2",
+        "extra_samples_3",
+    ],
+)
+def test_truediv(data):
 
-        region = AudioRegion(b"".join(data), 80, 1, 1)
+    region = AudioRegion(b"".join(data), 80, 1, 1)
 
-        sub_regions = region / len(data)
-        for data_i, region in zip(data, sub_regions):
-            self.assertEqual(len(data_i), len(bytes(region)))
+    sub_regions = region / len(data)
+    for data_i, region in zip(data, sub_regions):
+        assert len(data_i) == len(bytes(region))
 
-    @genty_dataset(
-        mono_sw_1=(b"a" * 10, 1, 1, "b", [97] * 10),
-        mono_sw_2=(b"a" * 10, 2, 1, "h", [24929] * 5),
-        mono_sw_4=(b"a" * 8, 4, 1, "i", [1633771873] * 2),
-        stereo_sw_1=(b"ab" * 5, 1, 2, "b", [[97] * 5, [98] * 5]),
-    )
-    def test_samples(self, data, sample_width, channels, fmt, expected):
 
-        region = AudioRegion(data, 10, sample_width, channels)
-        if isinstance(expected[0], list):
-            expected = [array_(fmt, exp) for exp in expected]
-        else:
-            expected = array_(fmt, expected)
-        samples = region.samples
-        equal = samples == expected
-        try:
-            # for numpy
-            equal = equal.all()
-        except AttributeError:
-            pass
-        self.assertTrue(equal)
[e-mail](
+    "data, sample_width, channels, fmt, expected",
+    [
+        (b"a" * 10, 1, 1, "b", [97] * 10),
+        (b"a" * 10, 2, 1, "h", [24929] * 5),
+        (b"a" * 8, 4, 1, "i", [1633771873] * 2),
+        (b"ab" * 5, 1, 2, "b", [[97] * 5, [98] * 5]),
+    ],
+    ids=[
+        "mono_sw_1",
+        "mono_sw_2",
+        "mono_sw_4",
+        "stereo_sw_1",
+    ],
+)
+def test_samples(data, sample_width, channels, fmt, expected):
 
-
-if __name__ == "__main__":
-    unittest.main()
+    region = AudioRegion(data, 10, sample_width, channels)
+    if isinstance(expected[0], list):
+        expected = [array_(fmt, exp) for exp in expected]
+    else:
+        expected = array_(fmt, expected)
+    samples = region.samples
+    equal = samples == expected
+    try:
+        # for numpy
+        equal = equal.all()
+    except AttributeError:
+        pass
+    assert equal