Generate YESNO dataset on-the-fly for test (pytorch#792)

test/common_utils/backend_utils.py

@@ -29,8 +29,8 @@ def supports_mp3(backend):
 def set_audio_backend(backend):
     """Allow additional backend value, 'default'"""
     if backend == 'default':
-        if 'sox' in BACKENDS:
-            be = 'sox'
+        if 'sox_io' in BACKENDS:
+            be = 'sox_io'
         elif 'soundfile' in BACKENDS:
             be = 'soundfile'
         else:

test/common_utils/test_case_utils.py

@@ -15,16 +15,16 @@ class TempDirMixin:
     """Mixin to provide easy access to temp dir"""
     temp_dir_ = None
 
-    @property
-    def base_temp_dir(self):
+    @classmethod
+    def get_base_temp_dir(cls):
         # If TORCHAUDIO_TEST_TEMP_DIR is set, use it instead of temporary directory.
         # this is handy for debugging.
         key = 'TORCHAUDIO_TEST_TEMP_DIR'
         if key in os.environ:
             return os.environ[key]
-        if self.__class__.temp_dir_ is None:
-            self.__class__.temp_dir_ = tempfile.TemporaryDirectory()
-        return self.__class__.temp_dir_.name
+        if cls.temp_dir_ is None:
+            cls.temp_dir_ = tempfile.TemporaryDirectory()
+        return cls.temp_dir_.name
 
     @classmethod
     def tearDownClass(cls):
@@ -34,7 +34,7 @@ def tearDownClass(cls):
             cls.temp_dir_ = None
 
     def get_temp_path(self, *paths):
-        temp_dir = os.path.join(self.base_temp_dir, self.id())
+        temp_dir = os.path.join(self.get_base_temp_dir(), self.id())
         path = os.path.join(temp_dir, *paths)
         os.makedirs(os.path.dirname(path), exist_ok=True)
         return path

test/test_datasets.py

@@ -1,3 +1,4 @@
+import os
 import unittest
 
 from torchaudio.datasets.commonvoice import COMMONVOICE
@@ -10,16 +11,19 @@
 from torchaudio.datasets.gtzan import GTZAN
 from torchaudio.datasets.cmuarctic import CMUARCTIC
 
-from . import common_utils
+from .common_utils import (
+    TempDirMixin,
+    TorchaudioTestCase,
+    get_asset_path,
+    get_whitenoise,
+    save_wav,
+    normalize_wav,
+)
 
 
-class TestDatasets(common_utils.TorchaudioTestCase):
+class TestDatasets(TorchaudioTestCase):
     backend = 'default'
-    path = common_utils.get_asset_path()
-
-    def test_yesno(self):
-        data = YESNO(self.path)
-        data[0]
+    path = get_asset_path()
 
     def test_vctk(self):
         data = VCTK(self.path)
@@ -46,9 +50,9 @@ def test_cmuarctic(self):
         data[0]
 
 
-class TestCommonVoice(common_utils.TorchaudioTestCase):
+class TestCommonVoice(TorchaudioTestCase):
     backend = 'default'
-    path = common_utils.get_asset_path()
+    path = get_asset_path()
 
     def test_commonvoice(self):
         data = COMMONVOICE(self.path, url="tatar")
@@ -69,5 +73,42 @@ def test_commonvoice_bg(self):
             pass
 
 
+class TestYesNo(TempDirMixin, TorchaudioTestCase):
+    backend = 'default'
+
+    root_dir = None
+    data = []
+    labels = [
+        [0, 0, 0, 0, 0, 0, 0, 0],
+        [0, 0, 0, 0, 1, 1, 1, 1],
+        [0, 1, 0, 1, 0, 1, 1, 0],
+        [1, 1, 1, 1, 0, 0, 0, 0],
+        [1, 1, 1, 1, 1, 1, 1, 1],
+    ]
+
+    @classmethod
+    def setUpClass(cls):
+        cls.root_dir = cls.get_base_temp_dir()
+        base_dir = os.path.join(cls.root_dir, 'waves_yesno')
+        os.makedirs(base_dir, exist_ok=True)
+        for label in cls.labels:
+            filename = f'{"_".join(str(l) for l in label)}.wav'
+            path = os.path.join(base_dir, filename)
+            data = get_whitenoise(sample_rate=8000, duration=6, n_channels=1, dtype='int16')
+            save_wav(path, data, 8000)
+            cls.data.append(normalize_wav(data))
+
+    def test_yesno(self):
+        dataset = YESNO(self.root_dir)
+        samples = list(dataset)
+        samples.sort(key=lambda s: s[2])
+        for i, (waveform, sample_rate, label) in enumerate(samples):
+            expected_label = self.labels[i]
+            expected_data = self.data[i]
+            self.assertEqual(expected_data, waveform, atol=5e-5, rtol=1e-8)
+            assert sample_rate == 8000
+            assert label == expected_label
+
+
 if __name__ == "__main__":
     unittest.main()