cavis/pydatavec/tests/test_reduce.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
from pydatavec import Schema, TransformProcess
def test_reduce_1():
reductions = ['sum', 'mean', 'std', 'var', 'prod']
for red in reductions:
schema = Schema()
schema.add_string_column('name')
schema.add_double_column('amount')
schema.add_integer_column('hours')
tp = TransformProcess(schema)
tp.reduce('name', red)
tp.to_java()
def test_reduce_2():
reductions = ['sum', 'mean', 'std', 'var', 'prod']
for red1 in reductions:
for red2 in reductions:
schema = Schema()
schema.add_string_column('name')
schema.add_double_column('amount')
schema.add_integer_column('hours')
tp = TransformProcess(schema)
tp.reduce('name', red1, {'amount': red2})
tp.to_java()
def test_reduce_3():
reductions = ['sum', 'mean', 'std', 'var', 'prod']
for red1 in reductions:
for red2 in reductions:
schema = Schema()
schema.add_string_column('name')
schema.add_double_column('amount')
schema.add_integer_column('hours')
tp = TransformProcess(schema)
tp.reduce('name', {'amount': red1, 'hours': red2})
tp.to_java()
def test_reduce_4():
reductions = ['first', 'last', 'append', 'prepend', 'count', 'count_unique']
for red in reductions:
schema = Schema()
schema.add_string_column('col1')
schema.add_string_column('col2')
tp = TransformProcess(schema)
tp.reduce('col1', red)
tp.to_java()
def test_reduce_5():
reductions = ['first', 'last', 'append', 'prepend', 'count', 'count_unique']
for red1 in reductions:
for red2 in reductions:
schema = Schema()
schema.add_string_column('col1')
schema.add_string_column('col2')
schema.add_string_column('col3')
tp = TransformProcess(schema)
tp.reduce('col1', red1, {'col3': red2})
tp.to_java()
def test_reduce_6():
reductions = ['first', 'last', 'append', 'prepend', 'count', 'count_unique']
for red1 in reductions:
for red2 in reductions:
schema = Schema()
schema.add_string_column('col1')
schema.add_string_column('col2')
schema.add_string_column('col3')
tp = TransformProcess(schema)
tp.reduce('col1', {'col2': red1, 'col3': red2})
tp.to_java()
if __name__ == '__main__':
pytest.main([__file__])