cavis/pydl4j/tests/build_tests/test_build_2.py

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2019-06-06 14:21:15 +02:00
################################################################################
# Copyright (c) 2015-2019 Skymind, Inc.
#
# This program and the accompanying materials are made available under the
# terms of the Apache License, Version 2.0 which is available at
# https://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.
#
# SPDX-License-Identifier: Apache-2.0
################################################################################
import pytest
import pydl4j
import os
def _spark_test():
from jnius import autoclass
SparkConf = autoclass('org.apache.spark.SparkConf')
SparkContext = autoclass('org.apache.spark.api.java.JavaSparkContext')
JavaRDD = autoclass('org.apache.spark.api.java.JavaRDD')
SparkTransformExecutor = autoclass('org.datavec.spark.'
'transform.SparkTransformExecutor')
StringToWritablesFunction = autoclass('org.datavec.spark.'
'transform.misc.'
'StringToWritablesFunction')
WritablesToStringFunction = autoclass('org.datavec.spark.'
'transform.misc.'
'WritablesToStringFunction')
spark_conf = SparkConf()
spark_conf.setMaster('local[*]')
spark_conf.setAppName('test')
spark_context = SparkContext(spark_conf)
source = 'basic_example.csv'
assert os.path.isfile(source)
string_data = spark_context.textFile(source)
def test_build():
_CONFIG = {
'dl4j_version': '1.0.0-SNAPSHOT',
'dl4j_core': False,
'datavec': True,
'spark': True,
'spark_version': '2',
'scala_version': '2.11',
'nd4j_backend': 'cpu'
}
my_dir = pydl4j.jarmgr._MY_DIR
if os.path.isdir(my_dir):
os.remove(my_dir)
pydl4j.set_config(_CONFIG)
pydl4j.maven_build()
import jumpy as jp
assert jp.zeros((3, 2)).numpy().sum() == 0
_spark_test()
if __name__ == '__main__':
pytest.main([__file__])