Fix build failed in matrix comparison among python versions

Author: thanhtung09t2

hbbrain/tests/test_matrix_transformation.py

@@ -14,7 +14,7 @@
                        [0.2, 1, 0.3, 0.4, 0.6],
                        [0.5, 0.1, 1, 0.6, 0.1],
                        [0.6, 0.2, 0.3, 1, 0.7],
-                       [0.2, 0.8, 0.4, 0.4, 1]], dtype=float)
+                       [0.2, 0.8, 0.4, 0.4, 1]])
 
 
 def test_split_matrix_non_sort_min():
@@ -28,8 +28,8 @@ def test_split_matrix_non_sort_min():
                              [1, 4, 0.6],
                              [2, 3, 0.3],
                              [2, 4, 0.1],
-                             [3, 4, 0.4]], dtype=float)
-    assert (split_max == expected_res).all()
+                             [3, 4, 0.4]])
+    np.testing.assert_array_equal(split_max, expected_res)
 
 
 def test_split_matrix_non_sort_max():
@@ -43,8 +43,8 @@ def test_split_matrix_non_sort_max():
                              [1, 4, 0.8],
                              [2, 3, 0.6],
                              [2, 4, 0.4],
-                             [3, 4, 0.7]], dtype=float)
-    assert (split_max == expected_res).all()
+                             [3, 4, 0.7]])
+    np.testing.assert_array_equal(split_max, expected_res)
 
 
 def test_split_matrix_sorted_min():
@@ -58,8 +58,8 @@ def test_split_matrix_sorted_min():
                              [0, 1, 0.2],
                              [2, 4, 0.1],
                              [1, 2, 0.1],
-                             [0, 4, 0.1]], dtype=float)
-    assert (split_max == expected_res).all()
+                             [0, 4, 0.1]])
+    np.testing.assert_array_equal(split_max, expected_res)
 
 
 def test_split_matrix_sorted_max():
@@ -73,8 +73,8 @@ def test_split_matrix_sorted_max():
                              [1, 3, 0.4],
                              [1, 2, 0.3],
                              [0, 1, 0.3],
-                             [0, 4, 0.2]], dtype=float)
-    assert (split_max == expected_res).all()
+                             [0, 4, 0.2]])
+    np.testing.assert_array_equal(split_max, expected_res)
 
 
 def test_hashing():