[WIP] add f0

1 files changed, 51 insertions, 0 deletions

diff --git a/tests/test_dataset.py b/tests/test_dataset.py
new file mode 100644
index 0000000..5283f7d
--- /dev/null
+++ b/tests/test_dataset.py
@@ -0,0 +1,51 @@
+import unittest
+
+import numpy
+from become_yukarin.dataset import dataset
+
+
+class TestDataset(unittest.TestCase):
+    def setUp(self):
+        self.sample_rate = 24000
+        self.len_time = len_time = 100
+        self.fft_size = fft_size = 1024
+        self.order = order = 59
+        self.dummy_feature = dataset.AcousticFeature(
+            f0=numpy.arange(len_time).reshape((len_time, -1)),
+            spectrogram=numpy.arange(len_time * (fft_size // 2 + 1)).reshape((len_time, -1)),
+            aperiodicity=numpy.arange(len_time * (fft_size // 2 + 1)).reshape((len_time, -1)),
+            mfcc=numpy.arange(len_time * (order + 1)).reshape((len_time, -1)),
+            voiced=(numpy.arange(len_time) % 2 == 1).reshape((len_time, -1)),
+        )
+        self.feature_sizes = dataset.AcousticFeature.get_sizes(
+            sampling_rate=self.sample_rate,
+            order=self.order,
+        )
+
+    def test_encode_decode_feature(self):
+        encode_feature = dataset.EncodeFeatureProcess(['mfcc'])
+        decode_feature = dataset.DecodeFeatureProcess(['mfcc'], self.feature_sizes)
+        e = encode_feature(self.dummy_feature, test=True)
+        d = decode_feature(e, test=True)
+        self.assertTrue(numpy.all(self.dummy_feature.mfcc == d.mfcc))
+
+    def test_encode_decode_feature2(self):
+        encode_feature = dataset.EncodeFeatureProcess(['mfcc', 'f0'])
+        decode_feature = dataset.DecodeFeatureProcess(['mfcc', 'f0'], self.feature_sizes)
+        e = encode_feature(self.dummy_feature, test=True)
+        d = decode_feature(e, test=True)
+        self.assertTrue(numpy.all(self.dummy_feature.mfcc == d.mfcc))
+        self.assertTrue(numpy.all(self.dummy_feature.f0 == d.f0))
+
+    def test_encode_decode_feature3(self):
+        encode_feature = dataset.EncodeFeatureProcess(['mfcc', 'f0'])
+        decode_feature = dataset.DecodeFeatureProcess(['mfcc', 'f0'], self.feature_sizes)
+        e = encode_feature(self.dummy_feature, test=True)
+        e[0] = numpy.nan
+        d = decode_feature(e, test=True)
+        self.assertFalse(numpy.all(self.dummy_feature.mfcc == d.mfcc))
+        self.assertTrue(numpy.all(self.dummy_feature.f0 == d.f0))
+
+
+if __name__ == '__main__':
+    unittest.main()