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arrow-nightlies / pyarrow   python

Repository URL to install this package:

Version: 19.0.0.dev70 

/ tests / arrow_39313.py

# 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"