def combine_problems(dirname):
composite_index = OrderedDict()
for indices in combinations:
merged_model, best_obj = merge_models([index[i] for i in indices])
name = '-'.join(['{:02}'.format(i + 1) for i in indices])
filename = name + '.mod'
path = os.path.join(dirname, filename)
with open(path, 'w') as f:
ampl.pretty_print(f, merged_model)
composite_index[name] = {'best_obj': best_obj, 'path': path}
return composite_index
def test_merge_models():
index = util.load_index('casado')
stmt, best_obj = util.merge_models([index['casado01'], index['casado03']])
output = StringIO()
ampl.pretty_print(output, stmt)
assert output.getvalue() == \
"""var x1 in [0, 20];
var x2 in [-10, 10];
minimize f: ((exp(-3 * x1) - sin(x1) ^ 3) + 1.0) * ((x2 - x2 ^ 2) ^ 2 + (x2 - 1) ^ 2);
"""
assert best_obj == 0
def test_merge_models():
index = util.load_index('casado')
stmt, best_obj = util.merge_models([index['casado01'], index['casado03']])
output = StringIO()
ampl.pretty_print(output, stmt)
assert output.getvalue() == \
"""var x1 in [0, 20];
var x2 in [-10, 10];
minimize f: ((exp(-3 * x1) - sin(x1) ^ 3) + 1.0) * ((x2 - x2 ^ 2) ^ 2 + (x2 - 1) ^ 2);
"""
assert best_obj == 0
def combine_problems(dirname):
composite_index = OrderedDict()
for indices in combinations:
merged_model, best_obj = merge_models([index[i] for i in indices])
name = '-'.join(['{:02}'.format(i + 1) for i in indices])
filename = name + '.mod'
path = os.path.join(dirname, filename)
with open(path, 'w') as f:
ampl.pretty_print(f, merged_model)
composite_index[name] = {'best_obj': best_obj, 'path': path}
return composite_index
def check_print(output, node): "Check if the output of pretty_print for the given AST node." stream = StringIO() ampl.pretty_print(stream, node) real_output = stream.getvalue() assert real_output == output
