rok commented on PR #34883: URL: https://github.com/apache/arrow/pull/34883#issuecomment-1503028476
An example of `pyarrow -> numpy` conversion that loses permutaion/strides: ```python import pyarrow as pa from numpy.testing import assert_array_equal tensor_type1 = pa.fixed_shape_tensor(pa.int8(), [2, 2, 3], permutation=[0, 1, 2]) tensor_type2 = pa.fixed_shape_tensor(pa.int8(), [2, 2, 3], permutation=[2, 1, 0]) storage = pa.array([[1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6]], pa.list_(pa.int8(), 12)) arr1 = pa.ExtensionArray.from_storage(tensor_type1, storage) arr2 = pa.ExtensionArray.from_storage(tensor_type1, storage) narr1 = arr1.to_numpy_ndarray() narr2 = arr2.to_numpy_ndarray() assert_array_equal(narr1, narr2) assert arr1.equals(arr2) ``` If `arr2.to_numpy_ndarray()` would throw an error saying this currently (we'd want to add it at some point) can't handle permuted conversion I think we'd be ok. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
