gradio/test/test_inputs.py

import unittest
import os
from gradio import inputs

BASE64_IMG = "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wgARCADIAMgDASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAABQACAwQGBwEI/8QAGgEAAwEBAQEAAAAAAAAAAAAAAQIDBAAFBv/aAAwDAQACEAMQAAAB09a1OqDQ98RNiD50j1JoWICkgVvMXUcqCNvqPJeNIQ++Pr0KuXmGfJPfPrQvUA6AQpUg3Y6OqBCz2SJZ7N5Zm+SPp0Escx6s70WQRK41/dsKw2yVmDkAUiVmgur0womMbrYuzSqrUxSYuMvBGByxWsSerPHXBJz0n2aZ9bZMc8C3cKvk3alA87zHa8Y84KNW2JzFKJlKV/S8LvkZSYpc70xBb1K88NddNM7i2kEpht+eWSLVZsMlNmsWaSpmvjLxGiHz01bl10e/Tl6IaFl3kUC2IVtWyW9wCJOqyAukhJrPR7/GHrftey1JfYIqcsz0gOpyxw2wPzIwXeDOpcwoxEUd7Rn6cWpvpH2KKdNA/Nkxxz2kLStNpc5pM95JLUnAfa8usaflqiwJ5keBTT0Gnnx3NptDzyUd0jOvyQnZNS31sUhtxb/JF21YlTMiSNEKKU6cm9KF0OTVIvYxK3XdHZYxRd3NjrwXRi5qvk5zRwq1kk4uOD6V82vkgs5wfhmh9LNWkjizPmXtuHqCDKnbsyNI47vv86o7cvSPMdRou0pi6C9eEKston5CGdjQuMv3P2Lz03yZPG622LXVq3tx6+KWfZWdliNMYrCr2/H6QNE4+PXM1wAacdIGNi4iRXB9Pym6WmZyG3FYPRE3ZDPd7qo/NmHk2twZX0Mmyrtp56Yracl3sbEbFa3mbJJyqNUBiJvmviLvudcnJrruk5gux25BfX+adLzaBgUaKhr2xfmG0eJsYXxFI4G/SdugXmz5AiS9GTi8o65mcGqVaZTEJfThKJUkD0tea8KZS0glVuDubps1yTz9OIwHauLz9GXqVXS1wj+c9K4nXPG9kulJ3wp0sWKDDx2/k2jtWs0s79nw+85rnvD5Qv78rYLFfuvVpSqPv3+jPO15jAlq8/Z6oUjir4mIwNuDdmkmjgqrpmI82L2FH9fA1G9TFNvoTmSUWz5pLbmUKTCbTpSptMml5/oYeZJPX65iEtHz3NJktkPWJN0kaRMUKUX9YkD6kgf/xAAoEAACAgIBBAEEAwEBAAAAAAABAgMEABESBRMhIjEGEBQyFSMzQST/2gAIAQEAAQUC6aU7dqNhKH0qyA2HJmfsesXws/DA4OM+8aQ65eN/b4zlhPLJm44p3jKTi5H+sSPlvayLrOlx+tw+0/6Rpt1GslPonhXXlmmA7jKysrDiMcYqnXFjnE7dGAkTQqKGCqCHraEAK4LSoLjd5j8UyBDcPt8gLrPOa2AngrrEXbPGCTB5ZCAgO/HCEjTN/Y8g1YOU2HbGcvTyrFdiVtNG3JksquSzBzvyPBkIwHwh8yYPBU7Mk4TJbgz8thkd1hiXYTiMrtNoCwdZQK8H1iTKMsnkVk9ZPbIV0eIwt/ZDHyzWskYgxnA3lnBC+MVJLT2KC8T0ksR0ldfwyZb6ZYQRzyxTRv3UsKdxfqvwoyROS7ZHVdtJ6jZ0x967euTD1TzgzWaLvGojRmzebznm861CgWm4V7TDdROS9s6jq+CvFrsfrHJkntkv614/7O3rOPLCvkR4kZ28XEdM20uH51hAw5yy+BJVRyuRS8zU8VoAZFDACQ7lsIe2o/sLAZOchHgONRkZKPIIUK3tcsqK9DcFO31G8uVOqd3HtcRJ1tFav1eGQvkv6Wxxnh85BGWqo/ZiUlhEQJbcw7QPvY+JlJMI9OJJO8GGLliR5rtYsj871iTnRSSc3awXGkRJIp6ki1QsaWGXs3X3NCwD1VkEYTakMMX9rs+LiAHEbkR4CucOK2b8bxyVURjjLUrk1olQ2Ryw1EmxenZ2eC3aUccejPIKkyioxFaabWCfEOzb/wBUydzuqfb/AIozWAeQmBfOve1ZCYLRnc9SBb+TQN+RqSGYFSwbOqShK3T64hjeqFswj0nXOHlY8vD2A1k/70U8gbPb0oX14edaCZO3bzrAkkjpyKglocneoFk7xzp9s9xJ86pN3JmrtJGg4LH8S5/0t63H3Lkylmox+sUXElfsIhxdcVfHUE3Wik51On0UErWNB7ALdSqpOIIkjWW2AKftZrdSgsR/s0X6y/IHnLH+6x5yXKXk4cIOd3iGV2ztSZ+MTluBqVii5/Dl6hIskdl5D1Kz2oZZ27Y2cWHhTSJe2I2Bj+JPknWMx4yDch/zkbT0oRx44I/I4gSzxIzXYFx+pQrn8shfqx70Ud3sw/njY6llyfvSM2dOr91rf9cXf4ZBd5FW8SHyck8IP9JW4xu2zVTwzeLd94p/zJGntQR8addHwQRszrDFP+UGez055InSRG85onK1MsasXET1PyOnxK0jQwBG/wCnE0Ws+iQ/sRyWcANSmUR3bfGawwafZLNXltSV+lxpGaUYSbpMbg12hnAEYvQCRTW9krjEjAypAZCo0HP43U4nWY8fM54x2LrNK1zvVoB669J/3FKumT1ImnnrCLI+3l67ErR9VrgSdUgORdSgcWyBPbiLry5h18/GU6pfFAUO4VZX7lirK0Zisqw6hLxrO23ijIqw/pJ/nMNPL1eM5/IMs/8ALI8f5ntKrTSpUY4vTGyCKGvlfcvXcs1hIWhkDQUwp+19u3Vjxc34STYl6bBNh5144uOpLQaa0p5kiWRYUzsriw7MdFhIWSMCXutZcRw/T8A758C91otLJ1aZQPqCSIUOqV7iZ9SS6h3gmCAWXYq2I+JNk0azJVry1793tFYumSjEoEDsopMixCSflklkDK+ybv8AdPRhWKOaNpRe6eiC2R3Ol0Tcnjpx8Fh451+buXN4MUDPjOWLJizYlnxNwnXOrT9mt3Mkk3jHea8w+Mptz6qn65Y4rDMsZbotdYqIGW5hXryuXfW8UEYx4hfAJzecsLknvcBn1A/nnv7n5HiPosfO1H+pOdYu7QfPThqmTrPqKz9hn/F9mOE/Zji+i739uv8Amau248ON+7/4fTcf9X/OoSdqo42OGRLwSVwiW5zPOv2kOyPAw/YeWdtn7dacPPRPr9j+0/8Ah9Nj/wAWdek0j5TXnbPx9SWO3BgOO2gg19icJxjnwv2//8QAIxEAAgICAwABBQEAAAAAAAAAAAECEQMQEiExQQQTIjJRIP/aAAgBAwEBPwGP7El2cKRxsrVnIstCHO+tL2yy+jkyT09LwXpQtqBwoUBoWpR+RCoi4y6Jx4vUPR5Bv8bObs9EmWVZ4y+7MPyyU+WsaOBVqj7VkFXRb+CjteFN9jkY58kxagvxs5jdIU3YuhRY3fTJdIVQgSMbpPbfwUes6TIytEYR/pKaRycnZKblqHW5DySZcjjL+mGXVCkynIyLhAUqLExanks530WXZgffZGiUlBGTLyLE0xRtC81ZY5nJsx+EFkroycr/ACJeaaojmkiGSMlQ2iUUlbOWoiXR9K24NGVuUif8/wAcRNoy+D1FEVbURYlCNIm+9e6SK1m+CfusZ9N3kRm/Vk9fAhC1/8QAJBEAAgIBBAIDAQEBAAAAAAAAAAECEQMSITFBECIEMlETFGH/2gAIAQIBAT8Bl9CMtiWQTdml9FvsXAsdiVFdj/6NJKyjJk9KIy/Ta6FGhcGixY6Konuy+jkklXjSmh0iL7ExD8KXQ4dn87dsaobdCs1dGhMUN6FBV4tFF0XaOif4ONCJCnsQka6Gylz45e5aWxGJKNE2JGRCikiKR0cjN1uR9mTfZDgyy0tDle4ib3NRxHYSZWljZV8FKKHNSdCPkK5IoR9p7kcUInokPJFbUZP0aR
RAND_STRING = "2wBDAAYEBQYFBAYGBQYHBwYIC"
PACKAGE_NAME = 'gradio'


class TestSketchpad(unittest.TestCase):
    def test_path_exists(self):
        inp = inputs.Sketchpad()
        path = inp.get_template_path()
        # self.assertTrue(os.path.exists(os.path.join(PACKAGE_NAME, path)))

    def test_preprocessing(self):
        inp = inputs.Sketchpad()
        array = inp.preprocess(BASE64_IMG)
        self.assertEqual(array.shape, (1, 28, 28, 1))


class TestWebcam(unittest.TestCase):
    def test_path_exists(self):
        inp = inputs.Webcam()
        path = inp.get_template_path()
        # 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, (1, 48, 48, 1))


class TestTextbox(unittest.TestCase):
    def test_path_exists(self):
        inp = inputs.Textbox()
        path = inp.get_template_path()
        # 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.ImageUpload()
        path = inp.get_template_path()
        self.assertTrue(os.path.exists(os.path.join(PACKAGE_NAME, path)))

    def test_preprocessing(self):
        inp = inputs.ImageUpload()
        array = inp.preprocess(BASE64_IMG)
        self.assertEqual(array.shape, (1, 48, 48, 1))


if __name__ == '__main__':
    unittest.main()