Passed
Pull Request — dev (#32)
by Konstantinos
03:44 queued 02:08
created

test_discretization.discretize_command()   A

Complexity

Conditions 1

Size

Total Lines 8
Code Lines 8

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 1
eloc 8
nop 0
dl 0
loc 8
rs 10
c 0
b 0
f 0
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import pytest
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@pytest.fixture
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def define_command():
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    def _define_engine_command(decorator, command_function):
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        decorator(command_function)
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        return command_function.__name__
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    return _define_engine_command
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@pytest.fixture
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def get_command(somagic):
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    def _get_command(command_name: str):
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        return getattr(somagic.command, command_name)
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    return _get_command
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@pytest.fixture
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def test_discretizer():
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    from so_magic.data.discretization import Discretizer, BinningAlgorithm
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    alg = BinningAlgorithm.from_built_in('pd.cut')
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    discretizer = Discretizer.from_algorithm(alg)
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    return discretizer
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@pytest.fixture
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def discretize_command():
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    def get_discretize_command(discretizer):
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        def test_discretize_command(data_manager, datapoints, attribute, nb_bins, new_column_name):
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            output = discretizer.discretize(datapoints, attribute, nb_bins)
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            data_manager.datapoints.add_column(output['result'], new_column_name)
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        return test_discretize_command
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    return get_discretize_command
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@pytest.fixture
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def validate_discretization_operation_behaviour():
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    def _validate_discretization_operation(cmd, algorithm):
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        datapoints = cmd.args[0]
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        target_column = cmd.args[1]
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        nb_bins = cmd.args[2]
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        computed_bins = algorithm.output['settings']['used_bins']
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        assert [_ for _ in computed_bins] == [-0.1, 25.0, 50.0, 75.0, 100.0]
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        input_arguments = algorithm.output['settings']['arguments']
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        to_check = [len(input_arguments[0]), input_arguments[1]]
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        assert to_check == [len(datapoints), nb_bins]
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        assert type(datapoints.column(target_column)) == type(input_arguments[0])
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        assert list(datapoints.column(target_column)) == list(input_arguments[0])
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        # assert algorithm.output['settings']['parameters'] == []
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    return _validate_discretization_operation
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@pytest.fixture
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def discretization_test_data(somagic, test_datapoints):
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    series = somagic.dataset.datapoints.column('Creative').replace('', 0.0, inplace=False)
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    assert all(type(x) == float for x in series)
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    somagic.datapoints.add_column(list(series), 'Creative')
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    assert all(type(x) == float for x in somagic.datapoints.observations['Creative'])
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    return {
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        'success': [
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            'Creative'
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        ],
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        'fail': [
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            'Energetic'
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        ],
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    }
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def test_discretization_operation(somagic, discretization_test_data, define_command, get_command, test_discretizer, discretize_command, validate_discretization_operation_behaviour):
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    test_discretize_command_name: str = define_command(somagic.commands_decorators.data_manager_command(), discretize_command(test_discretizer))
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    for attr_name in discretization_test_data['success']:
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        cmd = get_command(test_discretize_command_name)
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        cmd.args = [somagic.datapoints, attr_name, 4, f'binned_{attr_name}']
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        cmd.execute()
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        validate_discretization_operation_behaviour(cmd, test_discretizer.algorithm)
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    for attr_name in discretization_test_data['fail']:
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        cmd = get_command(test_discretize_command_name)
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        cmd.args = [somagic.datapoints, attr_name, 4, f'binned_{attr_name}']
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        with pytest.raises(TypeError):
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            cmd.execute()
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