diff --git a/tests/linear_spline_tests.py b/tests/linear_spline_tests.py
index abe6b07b9c..4652fbfc49 100644
--- a/tests/linear_spline_tests.py
+++ b/tests/linear_spline_tests.py
@@ -1,45 +1,45 @@
-
-import numpy as np 
-from sverchok.utils.testing import *
-from sverchok.utils.geom import LinearSpline
-
-
-class LinearSplineTests(SverchokTestCase):
-    def setUp(self):
-        super().setUp()
-        vertices = [(-1, -1, 0), (0, 0, 0), (1, 2, 0), (2, 3, 0)]
-        self.control_points = np.array(vertices)
-        self.spline = LinearSpline(vertices, metric="DISTANCE")
-
-    def test_eval(self):
-        t_in = np.array([0.0, 0.1, 0.4, 0.5, 0.7, 1.0])
-        result = self.spline.eval(t_in)
-        expected_result = np.array(
-                [[-1.0,        -1.0,         0.0 ],
-                 [-0.64188612, -0.64188612,  0.0 ],
-                 [ 0.27350889,  0.54701779,  0.0 ],
-                 [ 0.5,         1.0,         0.0 ],
-                 [ 0.95298221,  1.90596443,  0.0 ],
-                 [ 2.0,         3.0,         0.0 ]])
-        #info(result)
-        self.assert_numpy_arrays_equal(result, expected_result, precision=8)
-
-    def test_tangent(self):
-        t_in = np.array([0.0, 0.1, 0.4, 0.5, 0.7, 1.0])
-        result = self.spline.tangent(t_in)
-        #info(result)
-        expected_result = np.array(
-                [[-1, -1,  0],
-                 [-1, -1,  0],
-                 [-1, -2,  0],
-                 [-1, -2,  0],
-                 [-1, -2,  0],
-                 [-1, -1,  0]])
-        self.assert_numpy_arrays_equal(result, expected_result)
-
-    def test_control_points(self):
-        points = self.spline.get_control_points()
-        self.assertEquals(points.shape, (3,2,3))
-        expected = np.array(list(zip(self.control_points, self.control_points[1:])))
-        self.assert_numpy_arrays_equal(points, expected)
-
+
+import numpy as np 
+from sverchok.utils.testing import *
+from sverchok.utils.geom import LinearSpline
+
+
+class LinearSplineTests(SverchokTestCase):
+    def setUp(self):
+        super().setUp()
+        vertices = [(-1, -1, 0), (0, 0, 0), (1, 2, 0), (2, 3, 0)]
+        self.control_points = np.array(vertices)
+        self.spline = LinearSpline(vertices, metric="DISTANCE")
+
+    def test_eval(self):
+        t_in = np.array([0.0, 0.1, 0.4, 0.5, 0.7, 1.0])
+        result = self.spline.eval(t_in)
+        expected_result = np.array(
+                [[-1.0,        -1.0,         0.0 ],
+                 [-0.64188612, -0.64188612,  0.0 ],
+                 [ 0.27350889,  0.54701779,  0.0 ],
+                 [ 0.5,         1.0,         0.0 ],
+                 [ 0.95298221,  1.90596443,  0.0 ],
+                 [ 2.0,         3.0,         0.0 ]])
+        #info(result)
+        self.assert_numpy_arrays_equal(result, expected_result, precision=8)
+
+    def test_tangent(self):
+        t_in = np.array([0.0, 0.1, 0.4, 0.5, 0.7, 1.0])
+        result = self.spline.tangent(t_in)
+        #info(result)
+        expected_result = np.array(
+                [[ 1,  1,  0],
+                 [ 1,  1,  0],
+                 [ 1,  2,  0],
+                 [ 1,  2,  0],
+                 [ 1,  2,  0],
+                 [ 1,  1,  0]])
+        self.assert_numpy_arrays_equal(result, expected_result)
+
+    def test_control_points(self):
+        points = self.spline.get_control_points()
+        self.assertEquals(points.shape, (3,2,3))
+        expected = np.array(list(zip(self.control_points, self.control_points[1:])))
+        self.assert_numpy_arrays_equal(points, expected)
+
diff --git a/utils/geom.py b/utils/geom.py
index ede0bae5e5..258e4998b6 100644
--- a/utils/geom.py
+++ b/utils/geom.py
@@ -662,7 +662,7 @@ def get_seq_len(self, vlist):
         add_to_sumlist = self.summed_lengths.append
         current_length = 0.0
         for idx in range(len(vlist)-1):
-            v = vlist[idx][0]-vlist[idx+1][0], vlist[idx][1]-vlist[idx+1][1], vlist[idx][2]-vlist[idx+1][2]
+            v = vlist[idx+1][0]-vlist[idx][0], vlist[idx+1][1]-vlist[idx][1], vlist[idx+1][2]-vlist[idx][2]
             length = math.sqrt((v[0]*v[0]) + (v[1]*v[1]) + (v[2]*v[2]))
             add_normal(v)
             add_len(length)