vibhatha commented on code in PR #12590: URL: https://github.com/apache/arrow/pull/12590#discussion_r859365051
########## python/pyarrow/tests/test_udf.py: ########## @@ -0,0 +1,483 @@ +# 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. + + +import pytest + +import pyarrow as pa +from pyarrow import compute as pc +import random + +# UDFs are all tested with a dataset scan +pytestmark = pytest.mark.dataset + + +try: + import pyarrow.dataset as ds +except ImportError: + ds = None + + [email protected](scope="session") +def mock_udf_context(): + # The batch_length is 1 for nullary functions. + # batch_length=1 since the udf expected output + # is generated by calling the udf function external + # to the call_function framework. + from pyarrow._compute import _get_scalar_udf_context + return _get_scalar_udf_context(pa.default_memory_pool(), 1) Review Comment: Yes, you're correct. Added a higher default value (10) and customized depending on the usage. -- 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]
