NEP: issue deprecation warning when creating ragged array (NEP 34)

This implements NEP 34.

1 files changed, 19 insertions, 14 deletions

diff --git a/numpy/lib/tests/test_arraypad.py b/numpy/lib/tests/test_arraypad.py
index cd75b4ac4..75db5928b 100644
--- a/numpy/lib/tests/test_arraypad.py
+++ b/numpy/lib/tests/test_arraypad.py
@@ -1260,24 +1260,29 @@ class TestPadWidth:
         with pytest.raises(ValueError, match=match):
             np.pad(arr, pad_width, mode)
 
-    @pytest.mark.parametrize("pad_width", [
-        "3",
-        "word",
-        None,
-        object(),
-        3.4,
-        ((2, 3, 4), (3, 2)),  # dtype=object (tuple)
-        complex(1, -1),
-        ((-2.1, 3), (3, 2)),
+    @pytest.mark.parametrize("pad_width, dtype", [
+        ("3", None),
+        ("word", None),
+        (None, None),
+        (object(), None),
+        (3.4, None),
+        (((2, 3, 4), (3, 2)), object),
+        (complex(1, -1), None),
+        (((-2.1, 3), (3, 2)), None),
     ])
     @pytest.mark.parametrize("mode", _all_modes.keys())
-    def test_bad_type(self, pad_width, mode):
+    def test_bad_type(self, pad_width, dtype, mode):
         arr = np.arange(30).reshape((6, 5))
         match = "`pad_width` must be of integral type."
-        with pytest.raises(TypeError, match=match):
-            np.pad(arr, pad_width, mode)
-        with pytest.raises(TypeError, match=match):
-            np.pad(arr, np.array(pad_width), mode)
+        if dtype is not None:
+            # avoid DeprecationWarning when not specifying dtype
+            with pytest.raises(TypeError, match=match):
+                np.pad(arr, np.array(pad_width, dtype=dtype), mode)
+        else:
+            with pytest.raises(TypeError, match=match):
+                np.pad(arr, pad_width, mode)
+            with pytest.raises(TypeError, match=match):
+                np.pad(arr, np.array(pad_width), mode)
 
     def test_pad_width_as_ndarray(self):
         a = np.arange(12)