def test_include_annotations(self):
tester = segmentation.Segmenter(
"words",
"/home/lukas/Dokumente/Uni/ma_thesis/quelldaten/DIRNDL-prosody")
tester.read_annotations()
self.assertTrue(
"dlf-nachrichten-200703250000" in tester.annotations.keys())
def test_output_type(self):
tester = segmentation.Segmenter(
"tones",
"/home/lukas/Dokumente/Uni/ma_thesis/quelldaten/DIRNDL-prosody")
tester.read_annotations()
self.assertTrue(isinstance(tester.annotations, dict))
self.assertTrue(
isinstance(tester.annotations["dlf-nachrichten-200703250000"],
pd.DataFrame))
def test_frame_calculation_output_format(self):
tester = segmentation.Segmenter(
"words",
"/home/lukas/Dokumente/Uni/ma_thesis/quelldaten/DIRNDL-prosody")
tester.read_annotations()
tester.add_frame_info()
ex_df = tester.annotations["dlf-nachrichten-200703250000"]
self.assertTrue("start_frame" in ex_df.columns)
self.assertTrue("end_frame" in ex_df.columns)
self.assertTrue("duration_frames" in ex_df.columns)
def test_file_output(self):
tester = segmentation.Segmenter(
"words",
"/home/lukas/Dokumente/Uni/ma_thesis/quelldaten/DIRNDL-prosody")
tester.read_annotations()
tester.add_frame_info()
tester.save_output() # to default directory
self.assertTrue(
"/home/lukas/Dokumente/Uni/ma_thesis/promdetect/data/dirndl/word_based/dlf-nachrichten-200703250000_words.csv"
in glob(
"/home/lukas/Dokumente/Uni/ma_thesis/promdetect/data/dirndl/word_based/*.csv"
))
def test_frame_calculation_output_values(self):
tester = segmentation.Segmenter(
"words",
"/home/lukas/Dokumente/Uni/ma_thesis/quelldaten/DIRNDL-prosody")
tester.read_annotations()
tester.add_frame_info()
ex_df = tester.annotations["dlf-nachrichten-200703250000"]
ex_vals = ex_df.loc[145]
self.assertTrue(ex_vals["start_frame"] == (ex_vals["start"] * 48_000))
self.assertTrue(ex_vals["end_frame"] == (ex_vals["end"] * 48_000))
self.assertTrue(ex_vals["duration_frames"] == (ex_vals["duration"] *
48_000))