39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
import unittest
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import numpy as np
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import torch
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from Crypto.PublicKey import RSA
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from import_utils import import_local
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class TestCryptoNodes(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.crypto = import_local("crypto")
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def test_encrypt_decrypt_roundtrip(self):
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Encrypt = self.crypto.CLASS_MAPPINGS["SecureBase64Encrypt"]
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Decrypt = self.crypto.CLASS_MAPPINGS["SecureWebPDecrypt"]
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key = RSA.generate(1024)
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private_pem = key.export_key().decode("utf-8")
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public_pem = key.publickey().export_key().decode("utf-8")
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# Create a small deterministic RGB image tensor with values aligned to 1/255.
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arr = np.zeros((8, 8, 3), dtype=np.uint8)
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arr[0, 0] = [255, 0, 0]
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arr[0, 1] = [0, 255, 0]
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arr[0, 2] = [0, 0, 255]
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img = torch.from_numpy(arr.astype(np.float32) / 255.0).unsqueeze(0)
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enc = Encrypt()
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encrypted_b64 = enc.encrypted_base64(img, public_pem)[0]
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self.assertIsInstance(encrypted_b64, str)
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dec = Decrypt()
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decrypted = dec.decrypt_image(encrypted_b64, private_pem)[0]
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self.assertTrue(torch.is_tensor(decrypted))
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self.assertEqual(tuple(decrypted.shape), tuple(img.shape))
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self.assertTrue(torch.allclose(decrypted, img, atol=1 / 255, rtol=0))
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