def test_CRS_env_output_oriented_non_disc_vars():
categories, xls_data, dmu_name, sheet_name = read_data(
'tests/DEA_example_data.xls')
coefficients, has_same_dmus = convert_to_dictionary(xls_data)
assert has_same_dmus is False
assert validate_data(categories, coefficients) is True
data = construct_input_data_instance(categories, coefficients)
data.add_input_category('I1')
data.add_input_category('I2')
data.add_output_category('ND1')
data.add_output_category('O1')
data.add_output_category('O2')
model = EnvelopmentModelBase(
data,
EnvelopmentModelOutputOrientedWithNonDiscVars(
set(['ND1']), generate_lower_bound_for_efficiency_score),
DefaultConstraintCreator())
model_solution = model.run()
utils_for_tests.check_optimal_solution_status_and_sizes(
model_solution, data)
dmus = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K']
utils_for_tests.check_efficiency_scores(dmus, [
1, 1, 1 / 1.1698685, 1, 1 / 2.3749162, 1, 1, 1 / 1.3198374,
1 / 1.2115385, 0.5, 1
], model_solution, data)
clean_up_pickled_files()
def test_CRS_env_output_oriented_non_disc_vars():
categories, xls_data, dmu_name, sheet_name = read_data(
'tests/DEA_example_data.xls')
coefficients, has_same_dmus = convert_to_dictionary(xls_data)
assert has_same_dmus is False
assert validate_data(categories, coefficients) is True
data = construct_input_data_instance(categories, coefficients)
data.add_input_category('I1')
data.add_input_category('I2')
data.add_output_category('ND1')
data.add_output_category('O1')
data.add_output_category('O2')
model = EnvelopmentModelBase(
data,
EnvelopmentModelOutputOrientedWithNonDiscVars(
set(['ND1']),
generate_lower_bound_for_efficiency_score),
DefaultConstraintCreator())
model_solution = model.run()
utils_for_tests.check_optimal_solution_status_and_sizes(model_solution,
data)
dmus = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K']
utils_for_tests.check_efficiency_scores(dmus, [1, 1, 1 / 1.1698685, 1,
1 / 2.3749162, 1,
1, 1 / 1.3198374,
1 / 1.2115385,
0.5, 1], model_solution,
data)
clean_up_pickled_files()
def test_price_ratio_restrictions_env_model(data):
model = EnvelopmentModelBase(data,
EnvelopmentModelInputOriented(
generate_upper_bound_for_efficiency_score),
DefaultConstraintCreator())
bounds = {('I1', 'I2'): (None, 0.4), ('O1', 'O2'): (0.01, None)}
model = EnvelopmentModelWithPriceRatioConstraints(model, bounds)
start_time = datetime.datetime.now()
model_solution = model.run()
end_time = datetime.datetime.now()
utils_for_tests.check_if_category_is_within_price_ratio_constraints(
model_solution, bounds)
work_book = xlwt.Workbook()
writer = XLSWriter(Parameters(), work_book, datetime.datetime.today(),
(end_time - start_time).total_seconds())
writer.write_data(model_solution)
work_book.save('tests/test_price_ratio_env_output.xls')
def test_virual_restrictions_env_model(data):
model = EnvelopmentModelBase(data,
EnvelopmentModelInputOriented(
generate_upper_bound_for_efficiency_score),
DefaultConstraintCreator())
bounds = {'I2': (0.01, 0.5)}
model = EnvelopmentModelWithVirtualWeightRestrictions(model, bounds)
start_time = datetime.datetime.now()
model_solution = model.run()
end_time = datetime.datetime.now()
utils_for_tests.check_if_category_is_within_virtual_limits(
model_solution, bounds)
work_book = xlwt.Workbook()
writer = XLSWriter(Parameters(), work_book, datetime.datetime.today(),
(end_time - start_time).total_seconds())
writer.write_data(model_solution)
work_book.save('tests/test_virtual_constraints_env_output.xls')
def test_CRS_env_input_oriented_non_disc_vars(DEA_example_data):
data = DEA_example_data
data.add_input_category('I1')
data.add_input_category('I2')
data.add_input_category('ND1')
data.add_output_category('O1')
data.add_output_category('O2')
model = EnvelopmentModelBase(
data,
EnvelopmentModelInputOrientedWithNonDiscVars(
set(['ND1']), generate_upper_bound_for_efficiency_score),
DefaultConstraintCreator())
model_solution = model.run()
utils_for_tests.check_optimal_solution_status_and_sizes(
model_solution, data)
dmus = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K']
utils_for_tests.check_efficiency_scores(dmus, [
1, 0.62939304, 0.95095971, 1, 0.42525889, 1, 1, 0.82672274, 1,
0.53385106, 1
], model_solution, data)
def test_CRS_env_input_oriented_non_disc_vars(DEA_example_data):
data = DEA_example_data
data.add_input_category('I1')
data.add_input_category('I2')
data.add_input_category('ND1')
data.add_output_category('O1')
data.add_output_category('O2')
model = EnvelopmentModelBase(
data,
EnvelopmentModelInputOrientedWithNonDiscVars(
set(['ND1']),
generate_upper_bound_for_efficiency_score),
DefaultConstraintCreator())
model_solution = model.run()
utils_for_tests.check_optimal_solution_status_and_sizes(
model_solution, data)
dmus = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K']
utils_for_tests.check_efficiency_scores(dmus, [1, 0.62939304, 0.95095971,
1, 0.42525889,
1, 1, 0.82672274, 1,
0.53385106, 1],
model_solution, data)
def test_maximize_slacks_usual():
categories, xls_data, dmu_name, sheet_name = read_data(
'tests/DEA_example_data.xls')
coefficients, has_same_dmus = convert_to_dictionary(xls_data)
assert has_same_dmus is False
assert validate_data(categories, coefficients) is True
data = construct_input_data_instance(categories, coefficients)
data.add_input_category('I1')
data.add_input_category('I2')
data.add_output_category('O1')
data.add_output_category('O2')
model = EnvelopmentModelBase(data,
EnvelopmentModelInputOriented(
generate_upper_bound_for_efficiency_score),
DefaultConstraintCreator())
model = MaximizeSlacksModel(model)
start_time = datetime.datetime.now()
model_solution = model.run()
end_time = datetime.datetime.now()
utils_for_tests.check_optimal_solution_status_and_sizes(
model_solution, data)
dmus = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K']
utils_for_tests.check_efficiency_scores(dmus, [1, 0.62939304, 0.85479694,
1, 0.42106749,
1, 1, 0.75766909,
0.82539683, 0.5, 1],
model_solution, data)
work_book = xlwt.Workbook()
writer = XLSWriter(Parameters(), work_book, datetime.datetime.today(),
(end_time - start_time).total_seconds())
writer.write_data(model_solution)
work_book.save('tests/test_max_slacks_output.xls')
clean_up_pickled_files()
