blob: 566d333477a97e2f0ae727b56091a412480495a7 [file] [log] [blame]
# -------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
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# 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
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# -------------------------------------------------------------
import unittest
import numpy as np
from systemds.context import SystemDSContext
class TestFLOOR(unittest.TestCase):
def setUp(self):
self.sds = SystemDSContext(capture_stdout=True, logging_level=50)
def tearDown(self):
self.sds.close()
def test_floor_basic(self):
input_matrix = (
np.array([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]])
/ 10
)
sds_input = self.sds.from_numpy(input_matrix)
sds_result = sds_input.floor().compute()
np_result_np = np.floor(input_matrix)
assert np.allclose(sds_result, np_result_np, 1e-9)
def test_floor_random(self):
input_matrix = np.random.random((10, 10))
sds_input = self.sds.from_numpy(input_matrix)
sds_result = sds_input.floor().compute()
np_result_np = np.floor(input_matrix)
assert np.allclose(sds_result, np_result_np, 1e-9)
def test_floor_scalar(self):
for i in np.random.random(10) * 20 - 10:
sds_input = self.sds.scalar(i)
sds_result = sds_input.floor().compute()
np_result_np = np.floor(i)
assert np.isclose(sds_result, np_result_np, 1e-9)
if __name__ == "__main__":
unittest.main()