We'll write unit tests for the critical components of the system to ensure their functionality and reliability.
import unittest
import numpy as np
class TestCoreMathOperations(unittest.TestCase):
def test_tensor_product(self):
A = np.array([1, 2])
B = np.array([3, 4])
result = CoreMathOperations.tensor_product(A, B)
expected = np.tensordot(A, B, axes=0)
np.testing.assert_array_equal(result, expected)
def test_modular_multiplication(self):
A = 5
B = 3
mod = 2
result = CoreMathOperations.modular_multiplication(A, B, mod)
expected = (A * B) % mod
self.assertEqual(result, expected)
We'll write unit tests for the critical components of the system to ensure their functionality and reliability.
import unittest import numpy as np
class TestCoreMathOperations(unittest.TestCase): def test_tensor_product(self): A = np.array([1, 2]) B = np.array([3, 4]) result = CoreMathOperations.tensor_product(A, B) expected = np.tensordot(A, B, axes=0) np.testing.assert_array_equal(result, expected)
Continue with other test cases...
if name == 'main': unittest.main()