Raise NotImplementedError in to_datetime with dayfirst without infer_…

…format (#14058)

Raises a `NotImplementedError` to avoid this incorrect behavior (which seems to actually not be implemented)

```python
In [6]: cudf.to_datetime(["10-02-2014"], dayfirst=True)
Out[6]: DatetimeIndex(['2014-10-02'], dtype='datetime64[ns]')
```

closes #14042

Authors:
  - Matthew Roeschke (https://github.com/mroeschke)

Approvers:
  - Vyas Ramasubramani (https://github.com/vyasr)

URL: #14058

python/cudf/cudf/core/tools/datetimes.py

@@ -353,15 +353,16 @@ def _process_col(col, unit, dayfirst, infer_datetime_format, format):
                 format=format,
             )
         else:
-            if infer_datetime_format and format is None:
+            if format is None:
+                if not infer_datetime_format and dayfirst:
+                    raise NotImplementedError(
+                        f"{dayfirst=} not implemented "
+                        f"when {format=} and {infer_datetime_format=}."
+                    )
                 format = column.datetime.infer_format(
                     element=col.element_indexing(0),
                     dayfirst=dayfirst,
                 )
-            elif format is None:
-                format = column.datetime.infer_format(
-                    element=col.element_indexing(0)
-                )
             return col.as_datetime_column(
                 dtype=_unit_dtype_map[unit],
                 format=format,

python/cudf/cudf/tests/test_datetime.py

@@ -617,22 +617,44 @@ def test_datetime_dataframe():
 @pytest.mark.parametrize("infer_datetime_format", [True, False])
 def test_cudf_to_datetime(data, dayfirst, infer_datetime_format):
     pd_data = data
+    is_string_data = False
     if isinstance(pd_data, (pd.Series, pd.DataFrame, pd.Index)):
         gd_data = cudf.from_pandas(pd_data)
+        is_string_data = (
+            gd_data.ndim == 1
+            and not gd_data.empty
+            and gd_data.dtype.kind == "O"
+        )
     else:
         if type(pd_data).__module__ == np.__name__:
             gd_data = cp.array(pd_data)
         else:
             gd_data = pd_data
+            is_string_data = isinstance(gd_data, list) and isinstance(
+                next(iter(gd_data), None), str
+            )
 
-    expected = pd.to_datetime(
-        pd_data, dayfirst=dayfirst, infer_datetime_format=infer_datetime_format
-    )
-    actual = cudf.to_datetime(
-        gd_data, dayfirst=dayfirst, infer_datetime_format=infer_datetime_format
-    )
-
-    assert_eq(actual, expected)
+    if dayfirst and not infer_datetime_format and is_string_data:
+        # Note: pandas<2.0 also does not respect dayfirst=True correctly
+        # for object data
+        with pytest.raises(NotImplementedError):
+            cudf.to_datetime(
+                gd_data,
+                dayfirst=dayfirst,
+                infer_datetime_format=infer_datetime_format,
+            )
+    else:
+        expected = pd.to_datetime(
+            pd_data,
+            dayfirst=dayfirst,
+            infer_datetime_format=infer_datetime_format,
+        )
+        actual = cudf.to_datetime(
+            gd_data,
+            dayfirst=dayfirst,
+            infer_datetime_format=infer_datetime_format,
+        )
+        assert_eq(actual, expected)
 
 
 @pytest.mark.parametrize(