Remove pytest cache

Moved timing of original numpy operations after optimized matrix operations in performance tests. This improves readability and ensures consistent measurement order.

Author: Zeroto521

tests/test_matrix_variable.py

@@ -262,16 +262,16 @@ def test_matrix_sum_axis_is_none_performance(n):
     model = Model()
     x = model.addMatrixVar((n, n))
 
-    # Original sum via `np.ndarray.sum`
-    start = time()
-    x.view(np.ndarray).sum()
-    orig = time() - start
-
     # Optimized sum via `quicksum`
     start = time()
     x.sum()
     matrix = time() - start
 
+    # Original sum via `np.ndarray.sum`
+    start = time()
+    x.view(np.ndarray).sum()
+    orig = time() - start
+
     assert model.isGT(orig, matrix)
 
 
@@ -280,16 +280,16 @@ def test_matrix_sum_axis_not_none_performance(n):
     model = Model()
     x = model.addMatrixVar((n, n))
 
-    # Original sum via `np.ndarray.sum`
-    start = time()
-    x.view(np.ndarray).sum(axis=0)
-    orig = time() - start
-
     # Optimized sum via `quicksum`
     start = time()
     x.sum(axis=0)
     matrix = time() - start
 
+    # Original sum via `np.ndarray.sum`
+    start = time()
+    x.view(np.ndarray).sum(axis=0)
+    orig = time() - start
+
     assert model.isGT(orig, matrix)
 
 
@@ -298,16 +298,16 @@ def test_matrix_mean_performance(n):
     model = Model()
     x = model.addMatrixVar((n, n))
 
-    # Original mean via `np.ndarray.mean`
-    start = time()
-    x.view(np.ndarray).mean(axis=0)
-    orig = time() - start
-
     # Optimized mean via `quicksum`
     start = time()
     x.mean(axis=0)
     matrix = time() - start
 
+    # Original mean via `np.ndarray.mean`
+    start = time()
+    x.view(np.ndarray).mean(axis=0)
+    orig = time() - start
+
     assert model.isGT(orig, matrix)
 
 
@@ -325,14 +325,14 @@ def test_matrix_dot_performance(n):
     x = model.addMatrixVar((n, n))
     a = np.random.rand(n, n)
 
-    start = time()
-    a @ x.view(np.ndarray)
-    orig = time() - start
-
     start = time()
     a @ x
     matrix = time() - start
 
+    start = time()
+    a @ x.view(np.ndarray)
+    orig = time() - start
+
     assert model.isGT(orig, matrix)