fix split erroer message

mindspore/dataset/engine/validators.py

@@ -1065,12 +1065,12 @@ def check_split(method):
         if all_int:
             all_positive = all(item > 0 for item in sizes)
             if not all_positive:
-                raise ValueError("sizes is a list of int, but there should be no negative numbers.")
+                raise ValueError("sizes is a list of int, but there should be no negative or zero numbers.")
 
         if all_float:
             all_valid_percentages = all(0 < item <= 1 for item in sizes)
             if not all_valid_percentages:
-                raise ValueError("sizes is a list of float, but there should be no numbers outside the range [0, 1].")
+                raise ValueError("sizes is a list of float, but there should be no numbers outside the range (0, 1].")
 
             epsilon = 0.00001
             if not abs(sum(sizes) - 1) < epsilon:

tests/ut/python/dataset/test_split.py

@@ -38,7 +38,7 @@ def split_with_invalid_inputs(d):
 
     with pytest.raises(ValueError) as info:
         _, _ = d.split([-1, 6])
-    assert "there should be no negative numbers" in str(info.value)
+    assert "there should be no negative or zero numbers" in str(info.value)
 
     with pytest.raises(RuntimeError) as info:
         _, _ = d.split([3, 1])
@@ -54,11 +54,11 @@ def split_with_invalid_inputs(d):
 
     with pytest.raises(ValueError) as info:
         _, _ = d.split([-0.5, 0.5])
-    assert "there should be no numbers outside the range [0, 1]" in str(info.value)
+    assert "there should be no numbers outside the range (0, 1]" in str(info.value)
 
     with pytest.raises(ValueError) as info:
         _, _ = d.split([1.5, 0.5])
-    assert "there should be no numbers outside the range [0, 1]" in str(info.value)
+    assert "there should be no numbers outside the range (0, 1]" in str(info.value)
 
     with pytest.raises(ValueError) as info:
         _, _ = d.split([0.5, 0.6])