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test: Add mocked test calls to TestLFE

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Rob Hallam преди 3 месеца
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променени са 1 файла, в които са добавени 78 реда и са изтрити 0 реда
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    -0
      test/test_feature_extractors.py

+ 78
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test/test_feature_extractors.py Целия файл

@@ -20,6 +20,42 @@ class TestSourceMedia():
return SourceMedia(sources=[TestSource().one_colour_silent_audio()])

class TestLaughterFeatureExtractor(unittest.TestCase):
def _mock_laughdetect_callout(self, *args, **kwargs):
"""Mock _laughdetect callout

**kwargs:
- n : int >=0, number of laughter instances to generate
Return a list of 2-tuple floats (start, end) representing laughter instances
"""
laughs = []
n = kwargs.get("n", 0)
for i in range(n):
laughs.append((i, i+1))

return laughs

def _mock_run_get_output(self, *args, **kwargs) -> str:
"""Mock run_get_output callout

kwargs:
- n : int >=0, number of laughter instances to generate

Return a string of laughter instance of the form:
instance: (1.234, 5.678)
"""
# TODO: decide if we want non-"instance" output for testing parsing?
# (maybe)
output = []
n = kwargs.get("n", 0)
for i in range(n):
output.append(f"instance: ({i}.{i+1}{i+2}{i+3}, {i+4}.{i+5}{i+6}{i+7})")
return "\n".join(output)

def _sgo5(self, *args, **kwargs):
"""Mock run_get_output callout"""
return self._mock_run_get_output(*args, **kwargs, n=5)


"""Test LaughterFeatureExtractor"""
def test_init(self):
test_extractor = extractors.LaughterFeatureExtractor()
@@ -32,6 +68,48 @@ class TestLaughterFeatureExtractor(unittest.TestCase):
test_extractor.setup()
# NB test WITH sources implicitly tested in test_extract

@pytest.mark.slow
def test_extract_mocked_nolaughs(self):
"""Test extract with mocked laughter detection - no laughs"""
video_source = TestSource().one_colour_silent_audio()
test_extractor = extractors.LaughterFeatureExtractor(input_files=[video_source])
test_extractor._laughdetect = self._mock_laughdetect_callout
test_extractor.setup()
test_extractor.run()
test_extractor.teardown()
self.assertEqual(len(test_extractor.features), 0)

def test_extract_mocked_run_get_output_none(self):
"""Test extract with mocked laughter detection - no laughs"""
video_source = TestSource().one_colour_silent_audio()
test_extractor = extractors.LaughterFeatureExtractor(input_files=[video_source])
test_extractor._run_get_output = self._mock_run_get_output
test_extractor.setup()
test_extractor.run()
test_extractor.teardown()
self.assertEqual(len(test_extractor.features), 0)

def test_extract_mocked_run_get_output_5(self):
"""Test extract with mocked laughter detection - 5 laughs"""
video_source = TestSource().one_colour_silent_audio()
test_extractor = extractors.LaughterFeatureExtractor(input_files=[video_source])
test_extractor._run_get_output = self._sgo5
test_extractor.setup()
test_extractor.run()
test_extractor.teardown()
self.assertEqual(len(test_extractor.features), 5)

def test_run_get_output(self):
"""Test run_get_output"""
video_source = TestSource().one_colour_silent_audio()
test_extractor = extractors.LaughterFeatureExtractor(input_files=[video_source])
test_cmd = ["echo", "foo"]
test_extractor.setup()
output = test_extractor._run_get_output(test_cmd)
self.assertEqual(output, "foo\n")

# TODO: add sample video with laughs to test _laughdetect()

class TestRandomFeatureExtractor(unittest.TestCase):
"""Test RandomFeatureExtractor"""
def test_init(self):


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