1 files changed, 28 insertions, 28 deletions
diff --git a/docs/examples/userguide/numpy_tutorial/compute_py.py b/docs/examples/userguide/numpy_tutorial/compute_py.py
index 00bcf244c..4a5f90b4d 100644
--- a/docs/examples/userguide/numpy_tutorial/compute_py.py
+++ b/docs/examples/userguide/numpy_tutorial/compute_py.py
@@ -1,28 +1,28 @@
-import numpy as np
-
-
-def clip(a, min_value, max_value):
-    return min(max(a, min_value), max_value)
-
-
-def compute(array_1, array_2, a, b, c):
-    """
-    This function must implement the formula
-    np.clip(array_1, 2, 10) * a + array_2 * b + c
-
-    array_1 and array_2 are 2D.
-    """
-    x_max = array_1.shape[0]
-    y_max = array_1.shape[1]
-
-    assert array_1.shape == array_2.shape
-
-    result = np.zeros((x_max, y_max), dtype=array_1.dtype)
-
-    for x in range(x_max):
-        for y in range(y_max):
-            tmp = clip(array_1[x, y], 2, 10)
-            tmp = tmp * a + array_2[x, y] * b
-            result[x, y] = tmp + c
-
-    return result
+import numpy as np
+
+
+def clip(a, min_value, max_value):
+    return min(max(a, min_value), max_value)
+
+
+def compute(array_1, array_2, a, b, c):
+    """
+    This function must implement the formula
+    np.clip(array_1, 2, 10) * a + array_2 * b + c
+
+    array_1 and array_2 are 2D.
+    """
+    x_max = array_1.shape[0]
+    y_max = array_1.shape[1]
+
+    assert array_1.shape == array_2.shape
+
+    result = np.zeros((x_max, y_max), dtype=array_1.dtype)
+
+    for x in range(x_max):
+        for y in range(y_max):
+            tmp = clip(array_1[x, y], 2, 10)
+            tmp = tmp * a + array_2[x, y] * b
+            result[x, y] = tmp + c
+
+    return result