| # ------------------------------------------------------------- |
| # |
| # 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 shutil |
| import unittest |
| |
| import pandas as pd |
| from systemds.context import SystemDSContext |
| |
| |
| class TestWriteRead(unittest.TestCase): |
| |
| sds: SystemDSContext = None |
| temp_dir: str = "tests/frame/temp_write/" |
| n_cols = 3 |
| n_rows = 100 |
| df = pd.DataFrame( |
| { |
| "col1": [f"col1_string_{i}" for i in range(n_rows)], |
| "col2": [i for i in range(n_rows)], |
| "col3": [i * 0.1 for i in range(n_rows)], |
| } |
| ) |
| |
| @classmethod |
| def setUpClass(cls): |
| cls.sds = SystemDSContext(capture_stdout=True, logging_level=50) |
| |
| @classmethod |
| def tearDownClass(cls): |
| cls.sds.close() |
| |
| def tearDown(self): |
| shutil.rmtree(self.temp_dir, ignore_errors=True) |
| |
| def test_write_read_binary(self): |
| frame = self.sds.from_pandas(self.df) |
| frame.write(self.temp_dir + "01").compute() |
| NX = self.sds.read(self.temp_dir + "01", data_type="frame") |
| result_df = NX.compute() |
| self.assertTrue((self.df.values == result_df.values).all()) |
| |
| def test_write_read_csv(self): |
| frame = self.sds.from_pandas(self.df) |
| frame.write(self.temp_dir + "02", header=True, format="csv").compute() |
| NX = self.sds.read(self.temp_dir + "02", data_type="frame", format="csv") |
| result_df = NX.compute() |
| self.assertTrue(isinstance(result_df, pd.DataFrame)) |
| self.assertTrue(self.df.equals(result_df)) |
| |
| |
| if __name__ == "__main__": |
| unittest.main(exit=False) |