chore: import upstream snapshot with attribution

test/python/testpipeline/testimage/testimagehash.py

@@ -0,0 +1,74 @@
+"""
+ImageHash module tests
+"""
+
+import unittest
+
+from PIL import Image
+
+from txtai.pipeline import ImageHash
+
+# pylint: disable=C0411
+from utils import Utils
+
+
+class TestImageHash(unittest.TestCase):
+    """
+    ImageHash tests.
+    """
+
+    @classmethod
+    def setUpClass(cls):
+        """
+        Caches an image to hash
+        """
+
+        cls.image = Image.open(Utils.PATH + "/books.jpg")
+
+    def testArray(self):
+        """
+        Test numpy return type
+        """
+
+        ihash = ImageHash(strings=False)
+        self.assertEqual(ihash(self.image).shape, (64,))
+
+    def testAverage(self):
+        """
+        Test average hash
+        """
+
+        ihash = ImageHash("average")
+        self.assertIn(ihash(self.image), ["0859dd04bfbfbf00", "0859dd04ffbfbf00"])
+
+    def testColor(self):
+        """
+        Test color hash
+        """
+
+        ihash = ImageHash("color")
+        self.assertIn(ihash(self.image), ["1ffffe02000e000c0e0000070000", "1ff8fe03000e00070e0000070000"])
+
+    def testDifference(self):
+        """
+        Test difference hash
+        """
+
+        ihash = ImageHash("difference")
+        self.assertEqual(ihash(self.image), "d291996d6969686a")
+
+    def testPerceptual(self):
+        """
+        Test perceptual hash
+        """
+
+        ihash = ImageHash("perceptual")
+        self.assertEqual(ihash(self.image), "8be8418577b331b9")
+
+    def testWavelet(self):
+        """
+        Test wavelet hash
+        """
+
+        ihash = ImageHash("wavelet")
+        self.assertEqual(ihash(Utils.PATH + "/books.jpg"), "68015d85bfbf3f00")