mirror of
https://github.com/gradio-app/gradio.git
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66 lines
24 KiB
Python
66 lines
24 KiB
Python
import unittest
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import os
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from gradio import inputs
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"
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BASE64_SKETCH = "data:image/png;base64,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"
|
|
RAND_STRING = "2wBDAAYEBQYFBAYGBQYHBwYIC"
|
|
PACKAGE_NAME = 'gradio'
|
|
|
|
|
|
class TestSketchpad(unittest.TestCase):
|
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def test_path_exists(self):
|
|
inp = inputs.Sketchpad()
|
|
path = inputs.BASE_INPUT_INTERFACE_JS_PATH.format(inp.get_name())
|
|
self.assertTrue(os.path.exists(os.path.join(PACKAGE_NAME, path)))
|
|
|
|
def test_preprocessing(self):
|
|
inp = inputs.Sketchpad()
|
|
array = inp.preprocess(BASE64_SKETCH)
|
|
self.assertEqual(array.shape, (1, 28, 28))
|
|
|
|
|
|
class TestWebcam(unittest.TestCase):
|
|
def test_path_exists(self):
|
|
inp = inputs.Webcam()
|
|
path = inputs.BASE_INPUT_INTERFACE_JS_PATH.format(inp.get_name())
|
|
self.assertTrue(os.path.exists(os.path.join(PACKAGE_NAME, path)))
|
|
|
|
def test_preprocessing(self):
|
|
inp = inputs.Webcam()
|
|
array = inp.preprocess(BASE64_IMG)
|
|
self.assertEqual(array.shape, (224, 224, 3))
|
|
|
|
|
|
class TestTextbox(unittest.TestCase):
|
|
def test_path_exists(self):
|
|
inp = inputs.Textbox()
|
|
path = inputs.BASE_INPUT_INTERFACE_JS_PATH.format(inp.get_name())
|
|
self.assertTrue(os.path.exists(os.path.join(PACKAGE_NAME, path)))
|
|
|
|
def test_preprocessing(self):
|
|
inp = inputs.Textbox()
|
|
string = inp.preprocess(RAND_STRING)
|
|
self.assertEqual(string, RAND_STRING)
|
|
|
|
|
|
class TestImageUpload(unittest.TestCase):
|
|
def test_path_exists(self):
|
|
inp = inputs.ImageIn()
|
|
path = inputs.BASE_INPUT_INTERFACE_JS_PATH.format(inp.get_name())
|
|
self.assertTrue(os.path.exists(os.path.join(PACKAGE_NAME, path)))
|
|
|
|
def test_preprocessing(self):
|
|
inp = inputs.ImageIn()
|
|
array = inp.preprocess(BASE64_IMG)
|
|
self.assertEqual(array.shape, (224, 224, 3))
|
|
|
|
def test_preprocessing(self):
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inp = inputs.ImageIn()
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inp.image_height = 48
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inp.image_width = 48
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array = inp.preprocess(BASE64_IMG)
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self.assertEqual(array.shape, (48, 48, 3))
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|
|
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if __name__ == '__main__':
|
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unittest.main() |