| # 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. |
| |
| # This file is called from a test in test_pandas.py. |
| |
| from threading import Thread |
| |
| import pandas as pd |
| from pyarrow.pandas_compat import _pandas_api |
| |
| if __name__ == "__main__": |
| wait = True |
| num_threads = 10 |
| df = pd.DataFrame() |
| results = [] |
| |
| def rc(): |
| while wait: |
| pass |
| results.append(_pandas_api.is_data_frame(df)) |
| |
| threads = [Thread(target=rc) for _ in range(num_threads)] |
| |
| for t in threads: |
| t.start() |
| |
| wait = False |
| |
| for t in threads: |
| t.join() |
| |
| assert len(results) == num_threads |
| assert all(results), "`is_data_frame` returned False when given a DataFrame" |