blob: 9dc6e8d0175ee688a05211036f37002ee1d6eff3 [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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# KIND, either express or implied. See the License for the
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# -------------------------------------------------------------
import unittest
import random
import numpy as np
from systemds.context import SystemDSContext
from systemds.matrix import Matrix
np.random.seed(7)
shape = (random.randrange(1, 25), random.randrange(1, 25))
m = np.random.rand(shape[0], shape[1])
mx = np.random.rand(1, shape[1])
my = np.random.rand(shape[0], 1)
by = random.randrange(1, np.size(m, 1)+1)
class TestOrder(unittest.TestCase):
sds: SystemDSContext = None
@classmethod
def setUpClass(cls):
cls.sds = SystemDSContext()
@classmethod
def tearDownClass(cls):
cls.sds.close()
def test_basic(self):
o = Matrix(self.sds, m).order(by=by, decreasing=False, index_return=False).compute()
s = m[np.argsort(m[:, by-1])]
self.assertTrue(np.allclose(o, s))
def test_index(self):
o = Matrix(self.sds, m).order(by=by, decreasing=False, index_return=True).compute()
s = np.argsort(m[:, by - 1]) + 1
self.assertTrue(np.allclose(np.transpose(o), s))
def test_out_of_bounds(self):
by_max = np.size(m, 1) + 2
with self.assertRaises(IndexError) as context:
Matrix(self.sds, m).order(by=by_max).compute()
def test_decreasing(self):
o = Matrix(self.sds, m).order(by=by, decreasing=True, index_return=True).compute()
s = np.argsort(-m[:, by - 1]) + 1
self.assertTrue(np.allclose(np.transpose(o), s))
if __name__ == "__main__":
unittest.main(exit=False)