Add 3 augmentor classes and related unittests

deep_speech_2/tests/test_augmentor.py

@@ -9,8 +9,7 @@ from data_utils.augmentor.augmentation import AugmentationPipeline
 import random
 import numpy as np
 
-random_seed=0
-#audio instance
+random_seed = 0
 audio_data = [3.0517571e-05, -8.54492188e-04, -1.09863281e-03, -9.4604492e-04,\
             -1.31225586e-03, -1.09863281e-03, -1.73950195e-03, -2.1057189e-03,\
             -2.04467773e-03, -1.46484375e-03, -1.43432617e-03, -9.4604492e-04,\
@@ -19,12 +18,13 @@ audio_data = [3.0517571e-05, -8.54492188e-04, -1.09863281e-03, -9.4604492e-04,\
 audio_data = np.array(audio_data)
 samplerate = 10
 
+
 class TestAugmentor(unittest.TestCase):
     def test_volume(self):
         config_json = '[{"type": "volume","params": {"min_gain_dBFS": -15, '\
         '"max_gain_dBFS": 15},"prob": 1.0}]'
-        aug_pipeline = AugmentationPipeline(augmentation_config=config_json,
-                                            random_seed=random_seed)
+        aug_pipeline = AugmentationPipeline(
+            augmentation_config=config_json, random_seed=random_seed)
         audio_seg = audio.AudioSegment(audio_data, samplerate)
         aug_pipeline.transform_audio(audio_seg)
         orig_audio = audio.AudioSegment(audio_data, samplerate)
@@ -33,8 +33,8 @@ class TestAugmentor(unittest.TestCase):
     def test_speed(self):
         config_json = '[{"type":"speed","params": {"min_speed_rate": 1.2,' \
         '"max_speed_rate": 1.4},"prob": 1.0}]'
-        aug_pipeline = AugmentationPipeline(augmentation_config=config_json,
-                                            random_seed=random_seed)
+        aug_pipeline = AugmentationPipeline(
+            augmentation_config=config_json, random_seed=random_seed)
         audio_seg = audio.AudioSegment(audio_data, samplerate)
         aug_pipeline.transform_audio(audio_seg)
         orig_audio = audio.AudioSegment(audio_data, samplerate)
@@ -43,8 +43,8 @@ class TestAugmentor(unittest.TestCase):
     def test_resample(self):
         config_json = '[{"type":"resample","params": {"new_sample_rate":5},'\
         '"prob": 1.0}]'
-        aug_pipeline = AugmentationPipeline(augmentation_config=config_json,
-                                            random_seed=random_seed)
+        aug_pipeline = AugmentationPipeline(
+            augmentation_config=config_json, random_seed=random_seed)
         audio_seg = audio.AudioSegment(audio_data, samplerate)
         aug_pipeline.transform_audio(audio_seg)
         self.assertTrue(audio_seg.sample_rate == 5)
@@ -52,13 +52,13 @@ class TestAugmentor(unittest.TestCase):
     def test_bayesial(self):
         config_json = '[{"type":"bayesian_normal","params":{"target_db":-20,' \
         '"prior_db":-4, "prior_samples": -8, "startup_delay": 0.0},"prob":1.0}]'
-        aug_pipeline = AugmentationPipeline(augmentation_config=config_json,
-                                            random_seed=random_seed)
+        aug_pipeline = AugmentationPipeline(
+            augmentation_config=config_json, random_seed=random_seed)
         audio_seg = audio.AudioSegment(audio_data, samplerate)
         aug_pipeline.transform_audio(audio_seg)
         orig_audio = audio.AudioSegment(audio_data, samplerate)
         self.assertFalse(np.any(audio_seg.samples == orig_audio.samples))
 
+
 if __name__ == '__main__':
     unittest.main()
-