Krisztian Szucs created ARROW-10194: ---------------------------------------
Summary: [Python] Array.to_numpy() with type fixed_size_list(int64(), 1) doesn't roundtrip for large integer values Key: ARROW-10194 URL: https://issues.apache.org/jira/browse/ARROW-10194 Project: Apache Arrow Issue Type: Bug Components: Python Reporter: Krisztian Szucs Reproducer: {code:python} data = [None, [9007199254740993]] arr = pa.array(data, type=pa.list_(pa.uint64(), 1)) ndarray = arr.to_numpy(zero_copy_only=False) restored = pa.array(ndarray, type=arr.type) assert restored.equals(arr) {code} Error: {code} E assert False E + where False = <built-in method equals of pyarrow.lib.FixedSizeListArray object at 0x7fc0c86badc0>(<pyarrow.lib.FixedSizeListArray object at 0x7fc068496760>\n[\n null,\n [\n 90071992547409944\n ]\n]) E + where <built-in method equals of pyarrow.lib.FixedSizeListArray object at 0x7fc0c86badc0> = <pyarrow.lib.FixedSizeListArray object at 0x7fc0c86badc0>\n[\n null,\n [\n 90071992547409952\n ]\n].equals {code} The inner numpy array ({{ndarray[1]}}) has float64 dtype where the integer gets truncated because of the precision. -- This message was sent by Atlassian Jira (v8.3.4#803005)