def test_batch_content_filtering(self):
test_data = [os.path.normpath(os.path.join(DIR, "data/48by48.png"))]
response = content_filtering(test_data, api_key=self.api_key)
self.assertTrue(isinstance(response, list))
self.assertTrue(isinstance(response[0], float))
def test_resize_content_filtering(self):
test_face = os.path.normpath(os.path.join(DIR, "data/happy.png"))
response = content_filtering(test_face)
self.assertTrue(isinstance(response, float))
def test_resize_content_filtering_numpy_arrays(self):
test_image = np.random.randint(0, 255, size=(480,248, 3))
response = content_filtering(test_image)
self.assertTrue(isinstance(response, float))
def test_safe_content_filtering(self):
test_face = os.path.normpath(os.path.join(DIR, "data/happy.png"))
response = content_filtering(test_face)
self.assertTrue(response < 0.5)
def test_safe_content_filtering(self):
test_face = os.path.normpath(os.path.join(DIR, "data/happy.png"))
response = content_filtering(test_face)
self.assertTrue(response < 0.5)
def test_resize_content_filtering_numpy_arrays(self):
np = self._require_numpy()
test_image = np.random.randint(0, 255, size=(480, 248, 3))
response = content_filtering(test_image)
self.assertTrue(isinstance(response, float))
def test_resize_content_filtering(self):
test_face = os.path.normpath(os.path.join(DIR, "data/happy.png"))
response = content_filtering(test_face)
self.assertTrue(isinstance(response, float))
def test_batch_content_filtering(self):
test_data = [os.path.normpath(os.path.join(DIR, "data/48by48.png"))]
response = content_filtering(test_data)
self.assertTrue(isinstance(response, list))
self.assertTrue(isinstance(response[0], float))