120 lines
3.6 KiB
Python
120 lines
3.6 KiB
Python
# /* ******************************************************************************
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# *
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# *
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# * This program and the accompanying materials are made available under the
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# * terms of the Apache License, Version 2.0 which is available at
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# * https://www.apache.org/licenses/LICENSE-2.0.
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# *
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# * See the NOTICE file distributed with this work for additional
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# * information regarding copyright ownership.
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# * Unless required by applicable law or agreed to in writing, software
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# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# * License for the specific language governing permissions and limitations
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# * under the License.
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# *
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# * SPDX-License-Identifier: Apache-2.0
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# ******************************************************************************/
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################################################################################
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#
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#
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#
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################################################################################
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import pytest
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from pydatavec import Schema, TransformProcess
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def test_reduce_1():
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reductions = ['sum', 'mean', 'std', 'var', 'prod']
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for red in reductions:
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schema = Schema()
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schema.add_string_column('name')
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schema.add_double_column('amount')
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schema.add_integer_column('hours')
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tp = TransformProcess(schema)
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tp.reduce('name', red)
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tp.to_java()
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def test_reduce_2():
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reductions = ['sum', 'mean', 'std', 'var', 'prod']
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for red1 in reductions:
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for red2 in reductions:
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schema = Schema()
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schema.add_string_column('name')
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schema.add_double_column('amount')
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schema.add_integer_column('hours')
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tp = TransformProcess(schema)
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tp.reduce('name', red1, {'amount': red2})
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tp.to_java()
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def test_reduce_3():
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reductions = ['sum', 'mean', 'std', 'var', 'prod']
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for red1 in reductions:
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for red2 in reductions:
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schema = Schema()
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schema.add_string_column('name')
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schema.add_double_column('amount')
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schema.add_integer_column('hours')
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tp = TransformProcess(schema)
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tp.reduce('name', {'amount': red1, 'hours': red2})
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tp.to_java()
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def test_reduce_4():
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reductions = ['first', 'last', 'append',
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'prepend', 'count', 'count_unique']
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for red in reductions:
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schema = Schema()
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schema.add_string_column('col1')
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schema.add_string_column('col2')
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tp = TransformProcess(schema)
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tp.reduce('col1', red)
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tp.to_java()
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def test_reduce_5():
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reductions = ['first', 'last', 'append',
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'prepend', 'count', 'count_unique']
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for red1 in reductions:
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for red2 in reductions:
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schema = Schema()
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schema.add_string_column('col1')
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schema.add_string_column('col2')
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schema.add_string_column('col3')
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tp = TransformProcess(schema)
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tp.reduce('col1', red1, {'col3': red2})
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tp.to_java()
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def test_reduce_6():
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reductions = ['first', 'last', 'append',
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'prepend', 'count', 'count_unique']
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for red1 in reductions:
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for red2 in reductions:
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schema = Schema()
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schema.add_string_column('col1')
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schema.add_string_column('col2')
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schema.add_string_column('col3')
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tp = TransformProcess(schema)
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tp.reduce('col1', {'col2': red1, 'col3': red2})
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tp.to_java()
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if __name__ == '__main__':
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pytest.main([__file__])
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