Added Numpy Show, Numpy Squeeze, Pandas Feature Split To Numpy, Pt Show Size nodes.

2025-02-28 19:29:52 -08:00
parent b22193dc2b
commit f207bcbcdd
15 changed files with 443 additions and 3 deletions
@@ -0,0 +1,58 @@
+import os
+import sys
+import unittest
+import numpy as np
+
+
+PROJECT_ROOT = os.path.realpath(os.path.join(os.path.dirname(__file__), "..", ".."))
+MODULE_ROOT = os.path.join(PROJECT_ROOT, "modules")
+sys.path.append(MODULE_ROOT)
+
+from numpy_wrapper.numpy_squeeze import NumpySqueeze  # Importing the NumpySqueeze class
+
+
+class TestNumpySqueeze(unittest.TestCase):
+    def setUp(self):
+        """Set up test instance."""
+        self.node = NumpySqueeze()
+
+        # Define test cases: (input_array, dim, expected_shape)
+        self.test_cases = [
+            # Case 1: Squeezing a singleton dimension
+            (np.ones((1, 3, 4)), 0, (3, 4)),  # (1,3,4) -> (3,4)
+            (np.ones((2, 1, 4)), 1, (2, 4)),
+            (np.ones((100, 1)), 1, (100, )),
+
+            # Case 2: Multiple singleton dimensions, squeezing one
+            (np.ones((1, 2, 1, 4)), 2, (1, 2, 4)),
+
+            # Case 3: Squeezing a negative index
+            (np.ones((2, 3, 1)), -1, (2, 3)),
+
+            # Case 4: Squeezing all size 1 dimensions
+            (np.ones((1, 1, 1)), 0, (1, 1)),
+            (np.ones((1, 1, 1)), 1, (1, 1)),
+            (np.ones((1, 1, 1)), 2, (1, 1)),
+
+            # Case 5: Squeezing a 1d array with a single element to a scalar
+            (np.ones((1,)), 0, ()),
+        ]
+
+    def test_squeeze(self):
+        """Test array squeeze operation on various dimensions."""
+        for input_array, dim, expected_shape in self.test_cases:
+            with self.subTest(input_shape=input_array.shape, dim=dim):
+                result, = self.node.f(input_array, dim)
+
+                # Ensure return value is a array
+                self.assertTrue(isinstance(result, np.ndarray), "Output is not a array")
+
+                # Ensure result has correct shape
+                self.assertEqual(result.shape, expected_shape, f"Expected shape {expected_shape}, got {result.shape}")
+
+                # Ensure result has the same dtype
+                self.assertEqual(result.dtype, input_array.dtype, "Dtype mismatch after squeeze operation")
+
+
+if __name__ == "__main__":
+    unittest.main()