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# Licensed to the Apache Software Foundation (ASF) under one
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# to you under the Apache License, Version 2.0 (the
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# with the License. You may obtain a copy of the License at
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# -------------------------------------------------------------
import unittest
import numpy as np
from systemds.context import SystemDSContext
m1 = np.array([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]])
m2 = np.random.random((10, 10))
class TestTRIANGULAR(unittest.TestCase):
def setUp(self):
self.sds = SystemDSContext(capture_stdout=True, logging_level=50)
def tearDown(self):
self.sds.close()
def test_triu_basic1(self):
sds_input = self.sds.from_numpy(m1)
sds_result = sds_input.triu().compute()
np_result = np.triu(m1)
assert np.allclose(sds_result, np_result, 1e-9)
def test_triu_basic2(self):
sds_input = self.sds.from_numpy(m1)
sds_result = sds_input.triu(include_diagonal=False).compute()
np_result = np.triu(m1, 1)
assert np.allclose(sds_result, np_result, 1e-9)
def test_triu_basic3(self):
sds_input = self.sds.from_numpy(m1)
sds_result = sds_input.triu(return_values=False).compute()
np_result = np.triu(m1) > 0
assert np.allclose(sds_result, np_result, 1e-9)
def test_triu_basic4(self):
sds_input = self.sds.from_numpy(m1)
sds_result = sds_input.triu(
return_values=False, include_diagonal=False
).compute()
np_result = np.triu(m1, 1) > 0
assert np.allclose(sds_result, np_result, 1e-9)
def test_triu_random(self):
sds_input = self.sds.from_numpy(m2)
sds_result = sds_input.triu().compute()
np_result = np.triu(m2)
assert np.allclose(sds_result, np_result, 1e-9)
def test_tril_basic1(self):
sds_input = self.sds.from_numpy(m1)
sds_result = sds_input.tril().compute()
np_result = np.tril(m1)
assert np.allclose(sds_result, np_result, 1e-9)
def test_tril_basic2(self):
sds_input = self.sds.from_numpy(m1)
sds_result = sds_input.tril(include_diagonal=False).compute()
np_result = np.tril(m1, -1)
assert np.allclose(sds_result, np_result, 1e-9)
def test_tril_basic3(self):
sds_input = self.sds.from_numpy(m1)
sds_result = sds_input.tril(return_values=False).compute()
np_result = np.tril(m1) > 0
assert np.allclose(sds_result, np_result, 1e-9)
def test_tril_basic4(self):
sds_input = self.sds.from_numpy(m1)
sds_result = sds_input.tril(
return_values=False, include_diagonal=False
).compute()
np_result = np.tril(m1, -1) > 0
assert np.allclose(sds_result, np_result, 1e-9)
def test_tril_random(self):
sds_input = self.sds.from_numpy(m2)
sds_result = sds_input.tril().compute()
np_result = np.tril(m2)
assert np.allclose(sds_result, np_result, 1e-9)
if __name__ == "__main__":
unittest.main()