blob: 146266aacc376720d686eb554315690ee05d1d9c [file] [log] [blame]
# -------------------------------------------------------------
#
# 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.
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# -------------------------------------------------------------
import unittest
import numpy as np
from systemds.context import SystemDSContext
# Seed the randomness.
np.random.seed(7)
m = np.random.rand(3, 4)
class TestFederatedAggFn(unittest.TestCase):
sds: SystemDSContext = None
@classmethod
def setUpClass(cls):
cls.sds = SystemDSContext(capture_stdout=True, logging_level=50)
@classmethod
def tearDownClass(cls):
cls.sds.close()
def test_setup(self):
sm = self.sds.from_numpy(m)
sr = sm.compute()
e = m
self.assertTrue(np.allclose(e, sr))
def test_slice_first_third_row(self):
sm = self.sds.from_numpy(m)[[0, 2]]
sr = sm.compute()
e = m[[0, 2]]
self.assertTrue(np.allclose(e, sr))
def test_slice_single_row(self):
sm = self.sds.from_numpy(m)[[1]]
sr = sm.compute()
e = m[[1]]
self.assertTrue(np.allclose(e, sr))
def test_slice_last_row(self):
with self.assertRaises(ValueError):
self.sds.from_numpy(m)[[-1]]
def test_slice_first_third_col(self):
sm = self.sds.from_numpy(m)[:, [0, 2]]
sr = sm.compute()
e = m[:, [0, 2]]
self.assertTrue(np.allclose(e, sr))
def test_slice_single_col(self):
sm = self.sds.from_numpy(m)[:, [1]]
sr = sm.compute()
e = m[:, [1]]
self.assertTrue(np.allclose(e, sr))
def test_slice_row_col_both(self):
with self.assertRaises(NotImplementedError):
self.sds.from_numpy(m)[[1, 2], [0, 3]]
if __name__ == "__main__":
unittest.main(exit=False)