From 0a0020770513c517ca81eb2edbbaba342078efd2 Mon Sep 17 00:00:00 2001
From: Michael Schneeberger <michael.schneeberger@fhnw.ch>
Date: Mon, 17 Jan 2022 15:36:49 +0100
Subject: add skew-symmetry and gradient function

---
 test_polymatrix/test_polymatrix.py | 67 ++++++++++++++++++++++++++++++++++++--
 1 file changed, 64 insertions(+), 3 deletions(-)

(limited to 'test_polymatrix/test_polymatrix.py')

diff --git a/test_polymatrix/test_polymatrix.py b/test_polymatrix/test_polymatrix.py
index 1f0bb73..3b239bf 100644
--- a/test_polymatrix/test_polymatrix.py
+++ b/test_polymatrix/test_polymatrix.py
@@ -135,12 +135,12 @@ class TestPolyMatrix(unittest.TestCase):
             value = 2,
         )
     
-    def test_param_matrix_const_vector_skew_symmetric(self):
+    def test_skew_symmetric_param_matrix_const_vector(self):
         """
         param = [a11 a21 a31 a41]
         """
 
-        def skew_symmetric(idx1, idx2):
+        def skew_symmetric(degree, idx1, idx2):
             if idx1 == idx2:
                 return idx1, idx2, 0
             elif idx2 < idx1:
@@ -173,4 +173,65 @@ class TestPolyMatrix(unittest.TestCase):
             eq_idx = 1,
             row_idx = offset_dict[(mat, 0)] + 1,
             value = -1,
-        )
\ No newline at end of file
+        )
+
+    def test_const_matrix_param_gradient_vector(self):
+        """
+        param = [v11 v12 v21 v22]
+        """
+
+        def gradient(degree, v_row, monom):
+            if degree == 1:
+                factor = sum(v_row==e for e in monom) + 1
+
+                if monom[-1] < v_row:
+                    n_v_row = monom[-1]
+                    n_monom = sorted(monom + (v_row,), reverse=True)
+
+                if v_row <= monom[-1]:
+                    n_v_row = v_row
+                    n_monom = monom
+
+                return n_v_row, n_monom, factor
+
+        mat = init_poly_matrix(
+            subs={0: {(0, 0): 1, (1, 0): 1, (0, 1): 1, (1, 1): 1}}, 
+        )
+        vec = init_poly_vector(
+            degrees=(1,),
+            re_index_func_2=gradient,
+        )
+
+        eq = init_equation(
+            terms = [(mat, vec)],
+            n_var = 2,
+        )
+
+        terms, offset_dict = list(eq.create())
+
+        self.assert_term_in_eq(
+            terms = terms,
+            degree = 1,
+            monoms=(0,),
+            eq_idx = 0,
+            row_idx = offset_dict[(vec, 1)],
+            value = 2,
+        )
+
+        self.assert_term_in_eq(
+            terms = terms,
+            degree = 1,
+            monoms=(1,),
+            eq_idx = 0,
+            row_idx = offset_dict[(vec, 1)]+1,
+            value = 1,
+        )
+
+        self.assert_term_in_eq(
+            terms = terms,
+            degree = 1,
+            monoms=(0,),
+            eq_idx = 1,
+            row_idx = offset_dict[(vec, 1)]+1,
+            value = 1,
+        )
-- 
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