blob: 6a3c28c28fae7cd3885777dcc6363240b7371860 [file]
# -------------------------------------------------------------
#
# 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.
#
# -------------------------------------------------------------
import io
import json
import os
import shutil
import sys
import unittest
import numpy as np
from systemds.context import SystemDSContext
os.environ['SYSDS_QUIET'] = "1"
dim = 3
m = np.reshape(np.arange(1, dim * dim + 1, 1), (dim, dim))
tempdir = "./tests/federated/tmp/test_federated_matrixmult/"
mtd = {"format": "csv", "header": False, "rows": dim,
"cols": dim, "data_type": "matrix", "value_type": "double"}
# Create the testing directory if it does not exist.
if not os.path.exists(tempdir):
os.makedirs(tempdir)
# Save data files for the Federated workers.
np.savetxt(tempdir + "m.csv", m, delimiter=",")
with io.open(tempdir + "m.csv.mtd", "w", encoding="utf-8") as f:
f.write(json.dumps(mtd, ensure_ascii=False))
# Federated workers + file locations
fed1 = "localhost:8001/" + tempdir + "m.csv"
fed2 = "localhost:8002/" + tempdir + "m.csv"
fed3 = "localhost:8003/" + tempdir + "m.csv"
fed1_file = tempdir+"m1.fed"
fed2_file = tempdir+"m2.fed"
fed3_file = tempdir+"m3.fed"
class TestFederatedAggFn(unittest.TestCase):
sds: SystemDSContext = None
@classmethod
def setUpClass(cls):
cls.sds = SystemDSContext()
cls.sds.federated([fed1], [
([0, 0], [dim, dim])]).write(fed1_file, format="federated").compute()
cls.sds.federated([fed1, fed2], [
([0, 0], [dim, dim]),
([0, dim], [dim, dim*2])]).write(fed2_file, format="federated").compute()
cls.sds.federated([fed1, fed2, fed3], [
([0, 0], [dim, dim]),
([0, dim], [dim, dim*2]),
([0, dim*2], [dim, dim*3])]).write(fed3_file, format="federated").compute()
@classmethod
def tearDownClass(cls):
cls.sds.close()
def test_verify_same_input(self):
f_m = self.sds.federated([fed1], [([0, 0], [dim, dim])]).compute()
self.assertTrue(np.allclose(f_m, m))
def test_verify_same_input_if_reading_fed(self):
f_m = self.sds.read(fed1_file).compute()
self.assertTrue(np.allclose(f_m, m))
def test_verify_same_input_if_reading_fed2(self):
f_m = self.sds.read(fed2_file).compute()
m2 = np.column_stack((m,m))
self.assertTrue(np.allclose(f_m, m2))
def test_verify_same_input_if_reading_fed3(self):
f_m = self.sds.read(fed3_file).compute()
m2 = np.column_stack((m,m))
m3 = np.column_stack((m,m2))
self.assertTrue(np.allclose(f_m, m3))
if __name__ == "__main__":
unittest.main(exit=False)