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()