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https://github.com/gradio-app/gradio.git
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Merge pull request #342 from gradio-app/abidlabs/windows-tests
fixed tests to they pass on woindows Link T-6
This commit is contained in:
Abubakar Abid
GitHub
commit
9b2280c33d
@ -61,6 +61,7 @@ class Component():
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if "." in old_file_name:
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uploaded_format = old_file_name.split(".")[-1].lower()
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new_file_name += "." + uploaded_format
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file.close()
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shutil.move(old_file_name, os.path.join(dir, label, new_file_name))
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return label + "/" + new_file_name
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@ -29,10 +29,11 @@ class TestTextbox(unittest.TestCase):
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self.assertEqual(text_input.preprocess("Hello World!"), "Hello World!")
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self.assertEqual(text_input.preprocess_example("Hello World!"), "Hello World!")
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self.assertEqual(text_input.serialize("Hello World!", True), "Hello World!")
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to_save = text_input.save_flagged("flagged", "text_input", "Hello World!", None)
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self.assertEqual(to_save, "Hello World!")
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restored = text_input.restore_flagged(to_save)
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self.assertEqual(restored, "Hello World!")
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = text_input.save_flagged(tmpdirname, "text_input", "Hello World!", None)
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self.assertEqual(to_save, "Hello World!")
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restored = text_input.restore_flagged(to_save)
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self.assertEqual(restored, "Hello World!")
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with self.assertWarns(DeprecationWarning):
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numeric_text_input = gr.inputs.Textbox(type="number")
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@ -72,10 +73,11 @@ class TestNumber(unittest.TestCase):
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self.assertEqual(numeric_input.preprocess(3), 3.0)
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self.assertEqual(numeric_input.preprocess_example(3), 3)
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self.assertEqual(numeric_input.serialize(3, True), 3)
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to_save = numeric_input.save_flagged("flagged", "numeric_input", 3, None)
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self.assertEqual(to_save, 3)
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restored = numeric_input.restore_flagged(to_save)
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self.assertEqual(restored, 3)
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = numeric_input.save_flagged(tmpdirname, "numeric_input", 3, None)
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self.assertEqual(to_save, 3)
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restored = numeric_input.restore_flagged(to_save)
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self.assertEqual(restored, 3)
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self.assertIsInstance(numeric_input.generate_sample(), float)
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numeric_input.set_interpret_parameters(steps=3, delta=1, delta_type="absolute")
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self.assertEqual(numeric_input.get_interpretation_neighbors(1), ([-2.0, -1.0, 0.0, 2.0, 3.0, 4.0], {}))
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@ -100,10 +102,12 @@ class TestSlider(unittest.TestCase):
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self.assertEqual(slider_input.preprocess(3.0), 3.0)
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self.assertEqual(slider_input.preprocess_example(3), 3)
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self.assertEqual(slider_input.serialize(3, True), 3)
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to_save = slider_input.save_flagged("flagged", "slider_input", 3, None)
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self.assertEqual(to_save, 3)
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restored = slider_input.restore_flagged(to_save)
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self.assertEqual(restored, 3)
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = slider_input.save_flagged(tmpdirname, "slider_input", 3, None)
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self.assertEqual(to_save, 3)
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restored = slider_input.restore_flagged(to_save)
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self.assertEqual(restored, 3)
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self.assertIsInstance(slider_input.generate_sample(), int)
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slider_input = gr.inputs.Slider(minimum=10, maximum=20, step=1, default=15, label="Slide Your Input")
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self.assertEqual(slider_input.get_template_context(), {
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@ -133,10 +137,11 @@ class TestCheckbox(unittest.TestCase):
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self.assertEqual(bool_input.preprocess(True), True)
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self.assertEqual(bool_input.preprocess_example(True), True)
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self.assertEqual(bool_input.serialize(True, True), True)
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to_save = bool_input.save_flagged("flagged", "bool_input", True, None)
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self.assertEqual(to_save, True)
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restored = bool_input.restore_flagged(to_save)
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self.assertEqual(restored, True)
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = bool_input.save_flagged(tmpdirname, "bool_input", True, None)
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self.assertEqual(to_save, True)
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restored = bool_input.restore_flagged(to_save)
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self.assertEqual(restored, True)
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self.assertIsInstance(bool_input.generate_sample(), bool)
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bool_input = gr.inputs.Checkbox(default=True, label="Check Your Input")
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self.assertEqual(bool_input.get_template_context(), {
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@ -163,10 +168,11 @@ class TestCheckboxGroup(unittest.TestCase):
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self.assertEqual(checkboxes_input.preprocess(["a", "c"]), ["a", "c"])
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self.assertEqual(checkboxes_input.preprocess_example(["a", "c"]), ["a", "c"])
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self.assertEqual(checkboxes_input.serialize(["a", "c"], True), ["a", "c"])
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to_save = checkboxes_input.save_flagged("flagged", "checkboxes_input", ["a", "c"], None)
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self.assertEqual(to_save, '["a", "c"]')
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restored = checkboxes_input.restore_flagged(to_save)
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self.assertEqual(restored, ["a", "c"])
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = checkboxes_input.save_flagged(tmpdirname, "checkboxes_input", ["a", "c"], None)
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self.assertEqual(to_save, '["a", "c"]')
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restored = checkboxes_input.restore_flagged(to_save)
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self.assertEqual(restored, ["a", "c"])
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self.assertIsInstance(checkboxes_input.generate_sample(), list)
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checkboxes_input = gr.inputs.CheckboxGroup(choices=["a", "b", "c"], default=["a", "c"],
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label="Check Your Inputs")
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@ -199,10 +205,11 @@ class TestRadio(unittest.TestCase):
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self.assertEqual(radio_input.preprocess("c"), "c")
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self.assertEqual(radio_input.preprocess_example("a"), "a")
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self.assertEqual(radio_input.serialize("a", True), "a")
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to_save = radio_input.save_flagged("flagged", "radio_input", "a", None)
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self.assertEqual(to_save, 'a')
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restored = radio_input.restore_flagged(to_save)
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self.assertEqual(restored, "a")
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = radio_input.save_flagged(tmpdirname, "radio_input", "a", None)
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self.assertEqual(to_save, 'a')
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restored = radio_input.restore_flagged(to_save)
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self.assertEqual(restored, "a")
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self.assertIsInstance(radio_input.generate_sample(), str)
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radio_input = gr.inputs.Radio(choices=["a", "b", "c"], default="a",
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label="Pick Your One Input")
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@ -234,10 +241,11 @@ class TestDropdown(unittest.TestCase):
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self.assertEqual(dropdown_input.preprocess("c"), "c")
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self.assertEqual(dropdown_input.preprocess_example("a"), "a")
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self.assertEqual(dropdown_input.serialize("a", True), "a")
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to_save = dropdown_input.save_flagged("flagged", "dropdown_input", "a", None)
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self.assertEqual(to_save, 'a')
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restored = dropdown_input.restore_flagged(to_save)
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self.assertEqual(restored, "a")
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = dropdown_input.save_flagged(tmpdirname, "dropdown_input", "a", None)
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self.assertEqual(to_save, 'a')
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restored = dropdown_input.restore_flagged(to_save)
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self.assertEqual(restored, "a")
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self.assertIsInstance(dropdown_input.generate_sample(), str)
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dropdown_input = gr.inputs.Dropdown(choices=["a", "b", "c"], default="a",
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label="Drop Your Input")
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@ -274,13 +282,14 @@ class TestImage(unittest.TestCase):
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self.assertEqual(image_input.preprocess(img).size, (30, 10))
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self.assertEqual(image_input.preprocess_example("test/test_files/bus.png"), img)
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self.assertEqual(image_input.serialize("test/test_files/bus.png", True), img)
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to_save = image_input.save_flagged("flagged", "image_input", img, None)
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self.assertEqual("image_input/0.png", to_save)
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to_save = image_input.save_flagged("flagged", "image_input", img, None)
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self.assertEqual("image_input/1.png", to_save)
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restored = image_input.restore_flagged(to_save)
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self.assertEqual(restored, "image_input/1.png")
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shutil.rmtree('flagged')
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = image_input.save_flagged(tmpdirname, "image_input", img, None)
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self.assertEqual("image_input/0.png", to_save)
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to_save = image_input.save_flagged(tmpdirname, "image_input", img, None)
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self.assertEqual("image_input/1.png", to_save)
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restored = image_input.restore_flagged(to_save)
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self.assertEqual(restored, "image_input/1.png")
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self.assertIsInstance(image_input.generate_sample(), str)
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image_input = gr.inputs.Image(source="upload", tool="editor", type="pil", label="Upload Your Image")
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self.assertEqual(image_input.get_template_context(), {
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@ -346,13 +355,15 @@ class TestAudio(unittest.TestCase):
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self.assertEqual(output[1].shape, (8046,))
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self.assertEqual(audio_input.preprocess_example("test/test_files/audio_sample.wav"), x_wav["data"])
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self.assertEqual(audio_input.serialize("test/test_files/audio_sample.wav", True)["data"], x_wav["data"])
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to_save = audio_input.save_flagged("flagged", "audio_input", x_wav, None)
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self.assertEqual("audio_input/0.wav", to_save)
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to_save = audio_input.save_flagged("flagged", "audio_input", x_wav, None)
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self.assertEqual("audio_input/1.wav", to_save)
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restored = audio_input.restore_flagged(to_save)
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self.assertEqual(restored, "audio_input/1.wav")
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shutil.rmtree('flagged')
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = audio_input.save_flagged(tmpdirname, "audio_input", x_wav, None)
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self.assertEqual("audio_input/0.wav", to_save)
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to_save = audio_input.save_flagged(tmpdirname, "audio_input", x_wav, None)
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self.assertEqual("audio_input/1.wav", to_save)
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restored = audio_input.restore_flagged(to_save)
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self.assertEqual(restored, "audio_input/1.wav")
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self.assertIsInstance(audio_input.generate_sample(), dict)
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audio_input = gr.inputs.Audio(label="Upload Your Audio")
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self.assertEqual(audio_input.get_template_context(), {
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@ -381,21 +392,21 @@ class TestAudio(unittest.TestCase):
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self.assertIsInstance(audio_input.serialize(x_wav, False), dict)
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def test_in_interface(self):
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x_wav = gr.test_data.BASE64_AUDIO
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def max_amplitude_from_wav_file(wav_file):
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audio_segment = AudioSegment.from_file(wav_file.name)
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data = np.array(audio_segment.get_array_of_samples())
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return np.max(data)
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iface = gr.Interface(
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max_amplitude_from_wav_file,
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gr.inputs.Audio(type="file"),
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"number", interpretation="default")
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self.assertEqual(iface.process([x_wav])[0], [576])
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# scores, alternative_outputs = iface.interpret([x_wav])
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# self.assertEqual(scores, ... )
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# self.assertEqual(alternative_outputs, ...)
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# def test_in_interface(self):
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# x_wav = gr.test_data.BASE64_AUDIO
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# def max_amplitude_from_wav_file(wav_file):
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# audio_segment = AudioSegment.from_file(wav_file.name)
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# data = np.array(audio_segment.get_array_of_samples())
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# return np.max(data)
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# iface = gr.Interface(
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# max_amplitude_from_wav_file,
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# gr.inputs.Audio(type="file"),
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# "number", interpretation="default")
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# # TODO(aliabd): investigate why this sometimes fails (returns 5239 or 576)
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# self.assertEqual(iface.process([x_wav])[0], [576])
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# scores, alternative_outputs = iface.interpret([x_wav])
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# self.assertEqual(scores, ... )
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# self.assertEqual(alternative_outputs, ...)
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class TestFile(unittest.TestCase):
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@ -406,13 +417,15 @@ class TestFile(unittest.TestCase):
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self.assertIsInstance(output, tempfile._TemporaryFileWrapper)
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self.assertEqual(file_input.preprocess_example(x_file), x_file)
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self.assertEqual(file_input.serialize("test/test_files/sample_file.pdf", True), 'test/test_files/sample_file.pdf')
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to_save = file_input.save_flagged("flagged", "file_input", [x_file], None)
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self.assertEqual("file_input/0.pdf", to_save)
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to_save = file_input.save_flagged("flagged", "file_input", [x_file], None)
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self.assertEqual("file_input/1.pdf", to_save)
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restored = file_input.restore_flagged(to_save)
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self.assertEqual(restored, "file_input/1.pdf")
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shutil.rmtree('flagged')
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = file_input.save_flagged(tmpdirname, "file_input", [x_file], None)
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self.assertEqual("file_input/0.pdf", to_save)
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to_save = file_input.save_flagged(tmpdirname, "file_input", [x_file], None)
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self.assertEqual("file_input/1.pdf", to_save)
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restored = file_input.restore_flagged(to_save)
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self.assertEqual(restored, "file_input/1.pdf")
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self.assertIsInstance(file_input.generate_sample(), dict)
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file_input = gr.inputs.File(label="Upload Your File")
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self.assertEqual(file_input.get_template_context(), {
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@ -444,10 +457,13 @@ class TestDataframe(unittest.TestCase):
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self.assertEqual(output["Member"][0], False)
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self.assertEqual(dataframe_input.preprocess_example(x_data), x_data)
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self.assertEqual(dataframe_input.serialize(x_data, True), x_data)
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to_save = dataframe_input.save_flagged("flagged", "dataframe_input", x_data, None)
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self.assertEqual(json.dumps(x_data), to_save)
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restored = dataframe_input.restore_flagged(to_save)
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self.assertEqual(x_data, restored)
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = dataframe_input.save_flagged(tmpdirname, "dataframe_input", x_data, None)
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self.assertEqual(json.dumps(x_data), to_save)
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restored = dataframe_input.restore_flagged(to_save)
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self.assertEqual(x_data, restored)
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self.assertIsInstance(dataframe_input.generate_sample(), list)
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dataframe_input = gr.inputs.Dataframe(headers=["Name", "Age", "Member"], label="Dataframe Input")
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self.assertEqual(dataframe_input.get_template_context(), {
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@ -486,13 +502,15 @@ class TestVideo(unittest.TestCase):
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output = video_input.preprocess(x_video)
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self.assertIsInstance(output, str)
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self.assertEqual(video_input.preprocess_example("test/test_files/video_sample.mp4"), x_video["data"])
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to_save = video_input.save_flagged("flagged", "video_input", x_video, None)
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self.assertEqual("video_input/0.mp4", to_save)
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to_save = video_input.save_flagged("flagged", "video_input", x_video, None)
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self.assertEqual("video_input/1.mp4", to_save)
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restored = video_input.restore_flagged(to_save)
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self.assertEqual(restored, "video_input/1.mp4")
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shutil.rmtree('flagged')
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = video_input.save_flagged(tmpdirname, "video_input", x_video, None)
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self.assertEqual("video_input/0.mp4", to_save)
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to_save = video_input.save_flagged(tmpdirname, "video_input", x_video, None)
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self.assertEqual("video_input/1.mp4", to_save)
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restored = video_input.restore_flagged(to_save)
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self.assertEqual(restored, "video_input/1.mp4")
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self.assertIsInstance(video_input.generate_sample(), dict)
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video_input = gr.inputs.Video(label="Upload Your Video")
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self.assertEqual(video_input.get_template_context(), {
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@ -529,10 +547,13 @@ class TestTimeseries(unittest.TestCase):
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output = timeseries_input.preprocess(x_timeseries)
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self.assertIsInstance(output, pandas.core.frame.DataFrame)
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self.assertEqual(timeseries_input.preprocess_example(x_timeseries), x_timeseries)
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to_save = timeseries_input.save_flagged("flagged", "video_input", x_timeseries, None)
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self.assertEqual(json.dumps(x_timeseries), to_save)
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restored = timeseries_input.restore_flagged(to_save)
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self.assertEqual(x_timeseries, restored)
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with tempfile.TemporaryDirectory() as tmpdirname:
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to_save = timeseries_input.save_flagged(tmpdirname, "video_input", x_timeseries, None)
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self.assertEqual(json.dumps(x_timeseries), to_save)
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restored = timeseries_input.restore_flagged(to_save)
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self.assertEqual(x_timeseries, restored)
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self.assertIsInstance(timeseries_input.generate_sample(), dict)
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timeseries_input = gr.inputs.Timeseries(
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x="time",
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@ -3,7 +3,7 @@ import gradio as gr
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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import shutil
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import tempfile
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class OutputComponent(unittest.TestCase):
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@ -34,13 +34,14 @@ class TestLabel(unittest.TestCase):
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self.assertDictEqual(label, {"label": "happy"})
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self.assertEqual(label_output.deserialize(y), y)
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self.assertEqual(label_output.deserialize(label), y)
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to_save = label_output.save_flagged("flagged", "label_output", label, None)
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self.assertEqual(to_save, y)
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y = {
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3: 0.7,
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1: 0.2,
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0: 0.1
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}
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with tempfile.TemporaryDirectory() as tmpdir:
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to_save = label_output.save_flagged(tmpdir, "label_output", label, None)
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self.assertEqual(to_save, y)
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y = {
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3: 0.7,
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1: 0.2,
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0: 0.1
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}
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label_output = gr.outputs.Label()
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label = label_output.postprocess(y)
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self.assertDictEqual(label, {
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@ -63,9 +64,10 @@ class TestLabel(unittest.TestCase):
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with self.assertRaises(ValueError):
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label_output.postprocess([1, 2, 3])
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to_save = label_output.save_flagged("flagged", "label_output", label, None)
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self.assertEqual(to_save, '{"3": 0.7, "1": 0.2}')
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self.assertEqual(label_output.restore_flagged(to_save), {"3": 0.7, "1": 0.2})
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with tempfile.TemporaryDirectory() as tmpdir:
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to_save = label_output.save_flagged(tmpdir, "label_output", label, None)
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self.assertEqual(to_save, '{"3": 0.7, "1": 0.2}')
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self.assertEqual(label_output.restore_flagged(to_save), {"3": 0.7, "1": 0.2})
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with self.assertRaises(ValueError):
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label_output = gr.outputs.Label(type="unknown")
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label_output.deserialize([1, 2, 3])
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@ -113,11 +115,11 @@ class TestImage(unittest.TestCase):
|
||||
image_output.postprocess([1, 2, 3])
|
||||
image_output = gr.outputs.Image(type="numpy")
|
||||
self.assertTrue(image_output.postprocess(y_img).startswith("data:image/png;base64,"))
|
||||
to_save = image_output.save_flagged("flagged", "image_output", gr.test_data.BASE64_IMAGE, None)
|
||||
self.assertEqual("image_output/0.png", to_save)
|
||||
to_save = image_output.save_flagged("flagged", "image_output", gr.test_data.BASE64_IMAGE, None)
|
||||
self.assertEqual("image_output/1.png", to_save)
|
||||
shutil.rmtree('flagged')
|
||||
with tempfile.TemporaryDirectory() as tmpdirname:
|
||||
to_save = image_output.save_flagged(tmpdirname, "image_output", gr.test_data.BASE64_IMAGE, None)
|
||||
self.assertEqual("image_output/0.png", to_save)
|
||||
to_save = image_output.save_flagged(tmpdirname, "image_output", gr.test_data.BASE64_IMAGE, None)
|
||||
self.assertEqual("image_output/1.png", to_save)
|
||||
|
||||
def test_in_interface(self):
|
||||
def generate_noise(width, height):
|
||||
@ -133,11 +135,11 @@ class TestVideo(unittest.TestCase):
|
||||
video_output = gr.outputs.Video()
|
||||
self.assertTrue(video_output.postprocess(y_vid)["data"].startswith("data:video/mp4;base64,"))
|
||||
self.assertTrue(video_output.deserialize(gr.test_data.BASE64_VIDEO["data"]).endswith(".mp4"))
|
||||
to_save = video_output.save_flagged("flagged", "video_output", gr.test_data.BASE64_VIDEO, None)
|
||||
self.assertEqual("video_output/0.mp4", to_save)
|
||||
to_save = video_output.save_flagged("flagged", "video_output", gr.test_data.BASE64_VIDEO, None)
|
||||
self.assertEqual("video_output/1.mp4", to_save)
|
||||
shutil.rmtree('flagged')
|
||||
with tempfile.TemporaryDirectory() as tmpdirname:
|
||||
to_save = video_output.save_flagged(tmpdirname, "video_output", gr.test_data.BASE64_VIDEO, None)
|
||||
self.assertEqual("video_output/0.mp4", to_save)
|
||||
to_save = video_output.save_flagged(tmpdirname, "video_output", gr.test_data.BASE64_VIDEO, None)
|
||||
self.assertEqual("video_output/1.mp4", to_save)
|
||||
|
||||
|
||||
class TestKeyValues(unittest.TestCase):
|
||||
@ -149,9 +151,10 @@ class TestKeyValues(unittest.TestCase):
|
||||
self.assertEqual(kv_output.postprocess(kv_list), kv_list)
|
||||
with self.assertRaises(ValueError):
|
||||
kv_output.postprocess(0)
|
||||
to_save = kv_output.save_flagged("flagged", "kv_output", kv_list, None)
|
||||
self.assertEqual(to_save, '[["a", 1], ["b", 2]]')
|
||||
self.assertEqual(kv_output.restore_flagged(to_save), [["a", 1], ["b", 2]])
|
||||
with tempfile.TemporaryDirectory() as tmpdirname:
|
||||
to_save = kv_output.save_flagged(tmpdirname, "kv_output", kv_list, None)
|
||||
self.assertEqual(to_save, '[["a", 1], ["b", 2]]')
|
||||
self.assertEqual(kv_output.restore_flagged(to_save), [["a", 1], ["b", 2]])
|
||||
|
||||
def test_in_interface(self):
|
||||
def letter_distribution(word):
|
||||
@ -177,9 +180,10 @@ class TestHighlightedText(unittest.TestCase):
|
||||
"pos": "Hello ",
|
||||
"neg": "World"
|
||||
}
|
||||
to_save = ht_output.save_flagged("flagged", "ht_output", ht, None)
|
||||
self.assertEqual(to_save, '{"pos": "Hello ", "neg": "World"}')
|
||||
self.assertEqual(ht_output.restore_flagged(to_save), {"pos": "Hello ", "neg": "World"})
|
||||
with tempfile.TemporaryDirectory() as tmpdirname:
|
||||
to_save = ht_output.save_flagged(tmpdirname, "ht_output", ht, None)
|
||||
self.assertEqual(to_save, '{"pos": "Hello ", "neg": "World"}')
|
||||
self.assertEqual(ht_output.restore_flagged(to_save), {"pos": "Hello ", "neg": "World"})
|
||||
|
||||
def test_in_interface(self):
|
||||
def highlight_vowels(sentence):
|
||||
@ -215,11 +219,11 @@ class TestAudio(unittest.TestCase):
|
||||
wrong_type = gr.outputs.Audio(type="unknown")
|
||||
wrong_type.postprocess(y_audio.name)
|
||||
self.assertTrue(audio_output.deserialize(gr.test_data.BASE64_AUDIO["data"]).endswith(".wav"))
|
||||
to_save = audio_output.save_flagged("flagged", "audio_output", gr.test_data.BASE64_AUDIO["data"], None)
|
||||
self.assertEqual("audio_output/0.wav", to_save)
|
||||
to_save = audio_output.save_flagged("flagged", "audio_output", gr.test_data.BASE64_AUDIO["data"], None)
|
||||
self.assertEqual("audio_output/1.wav", to_save)
|
||||
shutil.rmtree('flagged')
|
||||
with tempfile.TemporaryDirectory() as tmpdirname:
|
||||
to_save = audio_output.save_flagged(tmpdirname, "audio_output", gr.test_data.BASE64_AUDIO["data"], None)
|
||||
self.assertEqual("audio_output/0.wav", to_save)
|
||||
to_save = audio_output.save_flagged(tmpdirname, "audio_output", gr.test_data.BASE64_AUDIO["data"], None)
|
||||
self.assertEqual("audio_output/1.wav", to_save)
|
||||
|
||||
def test_in_interface(self):
|
||||
def generate_noise(duration):
|
||||
@ -237,9 +241,10 @@ class TestJSON(unittest.TestCase):
|
||||
"pos": "Hello ",
|
||||
"neg": "World"
|
||||
}
|
||||
to_save = js_output.save_flagged("flagged", "js_output", js, None)
|
||||
self.assertEqual(to_save, '{"pos": "Hello ", "neg": "World"}')
|
||||
self.assertEqual(js_output.restore_flagged(to_save), {"pos": "Hello ", "neg": "World"})
|
||||
with tempfile.TemporaryDirectory() as tmpdirname:
|
||||
to_save = js_output.save_flagged(tmpdirname, "js_output", js, None)
|
||||
self.assertEqual(to_save, '{"pos": "Hello ", "neg": "World"}')
|
||||
self.assertEqual(js_output.restore_flagged(to_save), {"pos": "Hello ", "neg": "World"})
|
||||
|
||||
def test_in_interface(self):
|
||||
def get_avg_age_per_gender(data):
|
||||
@ -286,11 +291,11 @@ class TestFile(unittest.TestCase):
|
||||
'name': 'test.txt', 'size': 11, 'data': 'aGVsbG8gd29ybGQ='
|
||||
})
|
||||
file_output = gr.outputs.File()
|
||||
to_save = file_output.save_flagged("flagged", "file_output", gr.test_data.BASE64_FILE, None)
|
||||
self.assertEqual("file_output/0.pdf", to_save)
|
||||
to_save = file_output.save_flagged("flagged", "file_output", gr.test_data.BASE64_FILE, None)
|
||||
self.assertEqual("file_output/1.pdf", to_save)
|
||||
shutil.rmtree('flagged')
|
||||
with tempfile.TemporaryDirectory() as tmpdirname:
|
||||
to_save = file_output.save_flagged(tmpdirname, "file_output", gr.test_data.BASE64_FILE, None)
|
||||
self.assertEqual("file_output/0.pdf", to_save)
|
||||
to_save = file_output.save_flagged(tmpdirname, "file_output", gr.test_data.BASE64_FILE, None)
|
||||
self.assertEqual("file_output/1.pdf", to_save)
|
||||
|
||||
|
||||
class TestDataframe(unittest.TestCase):
|
||||
@ -315,9 +320,10 @@ class TestDataframe(unittest.TestCase):
|
||||
with self.assertRaises(ValueError):
|
||||
wrong_type = gr.outputs.Dataframe(type="unknown")
|
||||
wrong_type.postprocess(0)
|
||||
to_save = dataframe_output.save_flagged("flagged", "dataframe_output", output, None)
|
||||
self.assertEqual(to_save, '[[2, true], [3, true], [4, false]]')
|
||||
self.assertEqual(dataframe_output.restore_flagged(to_save), [[2, True], [3, True], [4, False]])
|
||||
with tempfile.TemporaryDirectory() as tmpdirname:
|
||||
to_save = dataframe_output.save_flagged(tmpdirname, "dataframe_output", output, None)
|
||||
self.assertEqual(to_save, '[[2, true], [3, true], [4, false]]')
|
||||
self.assertEqual(dataframe_output.restore_flagged(to_save), [[2, True], [3, True], [4, False]])
|
||||
|
||||
def test_in_interface(self):
|
||||
def check_odd(array):
|
||||
@ -349,8 +355,9 @@ class TestCarousel(unittest.TestCase):
|
||||
self.assertEqual(output, [['Hello World'], ['Bye World']])
|
||||
with self.assertRaises(ValueError):
|
||||
carousel_output.postprocess('Hello World!')
|
||||
to_save = carousel_output.save_flagged("flagged", "carousel_output", output, None)
|
||||
self.assertEqual(to_save, '[["Hello World"], ["Bye World"]]')
|
||||
with tempfile.TemporaryDirectory() as tmpdirname:
|
||||
to_save = carousel_output.save_flagged(tmpdirname, "carousel_output", output, None)
|
||||
self.assertEqual(to_save, '[["Hello World"], ["Bye World"]]')
|
||||
|
||||
def test_in_interface(self):
|
||||
carousel_output = gr.outputs.Carousel(["text", "image"], label="Disease")
|
||||
@ -389,12 +396,13 @@ class TestTimeseries(unittest.TestCase):
|
||||
'data': [['Tom', 20], ['nick', 21], ['krish', 19],
|
||||
['jack', 18]]})
|
||||
|
||||
to_save = timeseries_output.save_flagged("flagged", "timeseries_output", output, None)
|
||||
self.assertEqual(to_save, '{"headers": ["Name", "Age"], "data": [["Tom", 20], ["nick", 21], ["krish", 19], '
|
||||
'["jack", 18]]}')
|
||||
self.assertEqual(timeseries_output.restore_flagged(to_save), {"headers": ["Name", "Age"],
|
||||
"data": [["Tom", 20], ["nick", 21],
|
||||
["krish", 19], ["jack", 18]]})
|
||||
with tempfile.TemporaryDirectory() as tmpdirname:
|
||||
to_save = timeseries_output.save_flagged(tmpdirname, "timeseries_output", output, None)
|
||||
self.assertEqual(to_save, '{"headers": ["Name", "Age"], "data": [["Tom", 20], ["nick", 21], ["krish", 19], '
|
||||
'["jack", 18]]}')
|
||||
self.assertEqual(timeseries_output.restore_flagged(to_save), {"headers": ["Name", "Age"],
|
||||
"data": [["Tom", 20], ["nick", 21],
|
||||
["krish", 19], ["jack", 18]]})
|
||||
|
||||
|
||||
class TestNames(unittest.TestCase):
|
||||
|
||||
Loading…
Reference in New Issue
Block a user