Ensure compatibility with numpy 2.0.0 (#6976)

* Ensure compatibility with numpy 2.0.0

Following the conversion guide copy=False is no longer required and will result in an error: https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.

* Update src/datasets/formatting/formatting.py

Co-authored-by: Quentin Lhoest <[email protected]>

* Update src/datasets/formatting/formatting.py

Co-authored-by: Quentin Lhoest <[email protected]>

* make style

---------

Co-authored-by: Quentin Lhoest <[email protected]>

Author: KennethEnevoldsen

src/datasets/formatting/formatting.py

@@ -187,14 +187,20 @@ def _arrow_array_to_numpy(self, pa_array: pa.Array) -> np.ndarray:
             else:
                 zero_copy_only = _is_zero_copy_only(pa_array.type) and not _is_array_with_nulls(pa_array)
                 array: List = pa_array.to_numpy(zero_copy_only=zero_copy_only).tolist()
+
         if len(array) > 0:
             if any(
                 (isinstance(x, np.ndarray) and (x.dtype == object or x.shape != array[0].shape))
                 or (isinstance(x, float) and np.isnan(x))
                 for x in array
             ):
+                if np.lib.NumpyVersion(np.__version__) >= "2.0.0b1":
+                    return np.asarray(array, dtype=object)
                 return np.array(array, copy=False, dtype=object)
-        return np.array(array, copy=False)
+        if np.lib.NumpyVersion(np.__version__) >= "2.0.0b1":
+            return np.asarray(array)
+        else:
+            return np.array(array, copy=False)
 
 
 class PandasArrowExtractor(BaseArrowExtractor[pd.DataFrame, pd.Series, pd.DataFrame]):