Remakes Build Process and Dependency Management

tests/test_process.py

@@ -0,0 +1,90 @@
+from yoshi_seals import process as ps
+
+import numpy as np
+
+from numpy import testing as npt
+import unittest
+
+
+class TestProcess(unittest.TestCase):
+
+    def test_det(self):
+        a = np.array(([1., 0.], [0., 1.]))
+
+        a_det = ps.det(a)
+
+        self.assertEqual(a_det, 1)
+
+    def test_inverse(self):
+        a = np.array(([1., 0.], [0., 1.]))
+        a_inv = ps.inverse(a)
+
+        npt.assert_array_equal(a, a_inv)
+
+    def test_hstack_returns_stacked_array(self):
+        a = np.array(([1., ], [1., ]))
+        b = np.array(([1., ], [1., ]))
+
+        stacked = ps.hstack(a, b)
+        expected_stacked_array = np.array(([1., 1.], [1., 1.]))
+
+        npt.assert_array_equal(stacked, expected_stacked_array)
+
+    def test_hstack_throws_exception(self):
+        a = np.array(([1., ], [1., ]))
+        b = np.array(([1., ]))
+
+        with self.assertRaises(ValueError):
+            ps.hstack(a, b)
+
+    def test_vstack_returns_stacked_array(self):
+        a = np.array(([[1., 1.]]))
+        b = np.array(([[1., 1.]]))
+
+        stacked = ps.vstack(a, b)
+        expected_stacked_array = np.array(([1., 1.], [1., 1.]))
+
+        npt.assert_array_equal(stacked, expected_stacked_array)
+
+    def test_vstack_throws_exception(self):
+        a = np.array(([[1., 1.]]))
+        b = np.array(([[1.]]))
+
+        with self.assertRaises(ValueError):
+            ps.vstack(a, b)
+
+    def test_gauss(self):
+        a = np.array(([4., 10., 8.], [10., 26., 26], [8., 26., 61.]))
+        b = np.array(([44.], [128.], [214.]))
+
+        matrix = ps.gauss(a, b)
+        expected_matrix = np.array([[-8.], [6.], [2.]])
+
+        npt.assert_almost_equal(matrix, expected_matrix)
+
+    def test_cholesky(self):
+        a = np.array(([4., 10., 8.], [10., 26., 26], [8., 26., 61.]))
+        b = np.array(([44.], [128.], [214.]))
+
+        matrix = ps.cholesky(a, b)
+        expected_matrix = np.array([[-8.], [6.], [2.]])
+
+        npt.assert_almost_equal(matrix, expected_matrix)
+
+    def test_decomposition(self):
+        a = np.array(([4., 10., 8.], [10., 26., 26], [8., 26., 61.]))
+        b = np.array(([44.], [128.], [214.]))
+
+        matrix = ps.decomposition(a, b)
+        expected_matrix = np.array([[-8.], [6.], [2.]])
+
+        npt.assert_almost_equal(matrix, expected_matrix)
+
+    def test_cramer(self):
+        a = np.array(([4., 10., 8.], [10., 26., 26], [8., 26., 61.]))
+        b = np.array(([44.], [128.], [214.]))
+
+        matrix = ps.cramer(a, b)
+        expected_matrix = np.array([[-8.], [6.], [2.]])
+
+        npt.assert_almost_equal(matrix, expected_matrix)