Also catch ValueError in all_equal

The call to `np.any(array)` in zarr.util.all_equal triggers the
following ValueError:

```
>       return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
E       ValueError: invalid literal for int() with base 10: 'baz'
```

Extending the catch block allows test_array_with_categorize_filter
to pass, but it's unclear if this points to a deeper issue.

Author: joshmoore

zarr/util.py

@@ -670,7 +670,7 @@ def all_equal(value: Any, array: Any):
         # optimized to return on the first truthy value in `array`.
         try:
             return not np.any(array)
-        except TypeError:  # pragma: no cover
+        except (TypeError, ValueError):  # pragma: no cover
             pass
     if np.issubdtype(array.dtype, np.object_):
         # we have to flatten the result of np.equal to handle outputs like