| # ------------------------------------------------------------- |
| # |
| # 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 io |
| import json |
| import os |
| import shutil |
| import sys |
| import unittest |
| |
| import numpy as np |
| from systemds.context import SystemDSContext |
| |
| os.environ['SYSDS_QUIET'] = "1" |
| |
| dim = 3 |
| |
| m1 = np.asarray([[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype=np.int16) |
| m2 = np.asarray([[2, 2, 2], [3, 3, 3], [4, 4, 4]], dtype=np.int16) |
| |
| tempdir = "./tests/federated/tmp/test_federated_aggregations_noHeader/" |
| mtd = {"format": "csv", "header": False, "rows": dim, |
| "cols": dim, "data_type": "matrix", "value_type": "double"} |
| |
| # Create the testing directory if it does not exist. |
| if not os.path.exists(tempdir): |
| os.makedirs(tempdir) |
| |
| # Save data files for the Federated workers. |
| np.savetxt(tempdir + "m1.csv", m1, delimiter=",",fmt='%d') |
| with io.open(tempdir + "m1.csv.mtd", "w", encoding="utf-8") as f: |
| f.write(json.dumps(mtd, ensure_ascii=False)) |
| |
| np.savetxt(tempdir + "m2.csv", m2, delimiter=",",fmt='%d') |
| with io.open(tempdir + "m2.csv.mtd", "w", encoding="utf-8") as f: |
| f.write(json.dumps(mtd, ensure_ascii=False)) |
| |
| # Federated workers + file locations |
| fed1 = "localhost:8001/" + tempdir + "m1.csv" |
| fed2 = "localhost:8002/" + tempdir + "m2.csv" |
| |
| |
| class TestFederatedAggFn(unittest.TestCase): |
| |
| sds: SystemDSContext = None |
| |
| @classmethod |
| def setUpClass(cls): |
| cls.sds = SystemDSContext() |
| |
| @classmethod |
| def tearDownClass(cls): |
| cls.sds.close() |
| |
| def test_equals(self): |
| f_m = ( |
| self.sds.federated( |
| [fed1], |
| [([0, 0], [dim, dim])]) |
| .compute() |
| ) |
| self.assertTrue(np.allclose(f_m, m1)) |
| |
| def test_sum3(self): |
| # [[m1,m1,m1,m1,m1,m2,m2,m2,m2,m2] |
| # [m1,m1,m1,m1,m1,m2,m2,m2,m2,m2] |
| # [m1,m1,m1,m1,m1,m2,m2,m2,m2,m2] |
| # [m1,m1,m1,m1,m1,m2,m2,m2,m2,m2] |
| # [m1,m1,m1,m1,m1,m2,m2,m2,m2,m2]] |
| f_m_a = ( |
| self.sds.federated( |
| [fed1, fed2], |
| [([0, 0], [dim, dim]), ([0, dim], [dim, dim * 2])]) |
| .sum() |
| .compute() |
| ) |
| m1_m2 = m1.sum() + m2.sum() |
| self.assertAlmostEqual(f_m_a, m1_m2) |
| |
| def test_sum1(self): |
| f_m1 = ( |
| self.sds.federated( |
| [fed1], |
| [([0, 0], [dim, dim])]) |
| .sum() |
| .compute() |
| ) |
| m1_r = m1.sum() |
| self.assertAlmostEqual(f_m1, m1_r) |
| |
| def test_sum2(self): |
| f_m2 = ( |
| self.sds.federated( |
| [fed2], |
| [([0, 0], [dim, dim])]) |
| .sum() |
| .compute() |
| ) |
| m2_r = m2.sum() |
| self.assertAlmostEqual(f_m2, m2_r) |
| |
| def test_sum3(self): |
| # [[m1,m1,m1,m1,m1,m2,m2,m2,m2,m2] |
| # [m1,m1,m1,m1,m1,m2,m2,m2,m2,m2] |
| # [m1,m1,m1,m1,m1,m2,m2,m2,m2,m2] |
| # [m1,m1,m1,m1,m1,m2,m2,m2,m2,m2] |
| # [m1,m1,m1,m1,m1,m2,m2,m2,m2,m2]] |
| f_m1_m2 = ( |
| self.sds.federated( |
| [fed1, fed2], |
| [([0, 0], [dim, dim]), ([0, dim], [dim, dim * 2])]) |
| .sum() |
| .compute() |
| ) |
| |
| m1_m2 = np.concatenate((m1, m2), axis=1).sum() |
| |
| self.assertAlmostEqual(f_m1_m2, m1_m2) |
| |
| def test_sum4(self): |
| # [[m1,m1,m1,m1,m1] |
| # [m1,m1,m1,m1,m1] |
| # [m1,m1,m1,m1,m1] |
| # [m1,m1,m1,m1,m1] |
| # [m1,m1,m1,m1,m1] |
| # [m2,m2,m2,m2,m2] |
| # [m2,m2,m2,m2,m2] |
| # [m2,m2,m2,m2,m2] |
| # [m2,m2,m2,m2,m2] |
| # [m2,m2,m2,m2,m2]] |
| f_m1_m2 = ( |
| self.sds.federated( |
| [fed1, fed2], |
| [([0, 0], [dim, dim]), ([dim, 0], [dim * 2, dim])]) |
| .sum() |
| .compute() |
| ) |
| m1_m2 = np.concatenate((m1, m2)).sum() |
| self.assertAlmostEqual(f_m1_m2, m1_m2) |
| |
| # ----------------------------------- |
| # The rest of the tests are |
| # Extended functionality not working Yet |
| # ----------------------------------- |
| |
| def test_sum5(self): |
| # [[m1,m1,m1,m1,m1, 0, 0, 0, 0, 0] |
| # [m1,m1,m1,m1,m1, 0, 0, 0, 0, 0] |
| # [m1,m1,m1,m1,m1,m2,m2,m2,m2,m2] |
| # [m1,m1,m1,m1,m1,m2,m2,m2,m2,m2] |
| # [m1,m1,m1,m1,m1,m2,m2,m2,m2,m2] |
| # [ 0, 0, 0, 0, 0,m2,m2,m2,m2,m2] |
| # [ 0, 0, 0, 0, 0,m2,m2,m2,m2,m2]] |
| f_m_a = ( |
| self.sds.federated( |
| [fed1, fed2], |
| [([0, 0], [dim, dim]), ([2, dim], [dim + 2, dim * 2])]) |
| .sum() |
| .compute() |
| ) |
| m1_m2 = m1.sum() + m2.sum() |
| self.assertAlmostEqual(f_m_a, m1_m2) |
| |
| def test_sum8(self): |
| # [[ 0, 0, 0, 0, 0, 0, 0, 0] |
| # [ 0, 0, 0, 0, 0, 0, 0, 0] |
| # [ 0, 0, 0,m1,m1,m1,m1,m1] |
| # [ 0, 0, 0,m1,m1,m1,m1,m1] |
| # [ 0, 0, 0,m1,m1,m1,m1,m1] |
| # [ 0, 0, 0,m1,m1,m1,m1,m1] |
| # [ 0, 0, 0,m1,m1,m1,m1,m1]] |
| f_m_a = ( |
| self.sds.federated( |
| [fed1], |
| [([2, 3], [dim + 2, dim + 3])]) |
| .sum() |
| .compute() |
| ) |
| |
| m = m1.sum() |
| |
| self.assertAlmostEqual(f_m_a, m) |
| |
| |
| if __name__ == "__main__": |
| unittest.main(exit=False) |