blob: 8990bcc9c8617b92d4374d7a0cfc91cf9f1af033 [file] [log] [blame]
# -------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
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# 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
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# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
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# -------------------------------------------------------------
import unittest
import numpy as np
from systemds.context import SystemDSContext
from systemds.matrix import Matrix
dim = 5
np.random.seed(7)
m1 = np.array(np.random.randint(100, size=dim * dim) + 1.01, dtype=np.double)
m1.shape = (dim, dim)
m2 = np.array(np.random.randint(5, size=dim * dim) + 1, dtype=np.double)
m2.shape = (dim, dim)
class TestMatrixAggFn(unittest.TestCase):
sds: SystemDSContext = None
@classmethod
def setUpClass(cls):
cls.sds = SystemDSContext()
@classmethod
def tearDownClass(cls):
cls.sds.close()
def test_sum1(self):
self.assertTrue(np.allclose(
Matrix(self.sds, m1).sum().compute(), m1.sum()))
def test_sum2(self):
self.assertTrue(np.allclose(
Matrix(self.sds, m1).sum(axis=0).compute(), m1.sum(axis=0)))
def test_sum3(self):
self.assertTrue(np.allclose(
Matrix(self.sds, m1).sum(axis=1).compute(), m1.sum(axis=1).reshape(dim, 1)))
def test_mean1(self):
self.assertTrue(np.allclose(
Matrix(self.sds, m1).mean().compute(), m1.mean()))
def test_mean2(self):
self.assertTrue(np.allclose(
Matrix(self.sds, m1).mean(axis=0).compute(), m1.mean(axis=0)))
def test_mean3(self):
self.assertTrue(np.allclose(
Matrix(self.sds, m1).mean(axis=1).compute(), m1.mean(axis=1).reshape(dim, 1)))
def test_full(self):
self.assertTrue(np.allclose(
self.sds.full( (2, 3), 10.1).compute(), np.full((2, 3), 10.1)))
def test_seq(self):
self.assertTrue(np.allclose(
self.sds.seq(3).compute(), np.arange(4).reshape(4, 1)))
def test_var1(self):
self.assertTrue(np.allclose(
Matrix(self.sds, m1).var().compute(), m1.var(ddof=1)))
def test_var2(self):
self.assertTrue(np.allclose(
Matrix(self.sds, m1).var(axis=0).compute(), m1.var(axis=0, ddof=1)))
def test_var3(self):
self.assertTrue(np.allclose(
Matrix(self.sds, m1).var(axis=1).compute(), m1.var(axis=1, ddof=1).reshape(dim, 1)))
if __name__ == "__main__":
unittest.main(exit=False)