vibhatha commented on code in PR #12590: URL: https://github.com/apache/arrow/pull/12590#discussion_r841723114
########## python/pyarrow/tests/test_udf.py: ########## @@ -0,0 +1,350 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +from typing import List + +import pytest + +import pyarrow as pa +from pyarrow import compute as pc +from pyarrow.compute import register_function +from pyarrow.compute import InputType + + +def get_function_doc(summary: str, desc: str, arg_names: List[str]): + func_doc = {} + func_doc["summary"] = summary + func_doc["description"] = desc + func_doc["arg_names"] = arg_names + return func_doc + +# scalar unary function data + + +unary_doc = get_function_doc("add function", + "test add function", + ["scalar1"]) Review Comment: I agree, there is an idea to infer the input and output types and docs (too) from the function itself. JIRA: https://issues.apache.org/jira/browse/ARROW-15765 -- 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]
