def test_bang_for_buck(self):
item = Item(weight1=10, value=2)
backpack = Backpack()
backpack.add_item(item)
constraint = FastMaxItemValue(lambda x: x.weight1, 50, "Test Rule")
results = constraint.test(backpack)
expect(results.bang_for_buck) == 10
def test_fit_multiple(self):
item = Item(weight1=10)
backpack = Backpack()
backpack.add_item(item)
constraint = FastMaxItemValue(lambda x: x.weight1, 50, "Test Rule")
results = constraint.test(backpack)
expect(results.fit_multiple) == 5
def test_passes_lower_bound(self):
starting_results = AllTestResults()
starting_results.update_constraint(
WeightedAverageTargetResults("WAT1", True, 94.46, 9351.54, 99))
backpack = Backpack(items=range(0, 99),
test_results=starting_results,
target_item_count=200)
backpack.add_item(Item(weight10=100))
target = WeightedAverageTarget("WAT1", lambda x: x.weight10, 100, 20,
2)
results = target.test(backpack)
expect(results.passes) is True
expect(float("{0:.4f}".format(results.result))) == 94.5154
def test_fails_upper_bound(self):
starting_results = AllTestResults()
starting_results.update_constraint(
WeightedAverageTargetResults("WAT1", True, 105.545, 10448.955, 99))
backpack = Backpack(items=range(0, 99),
test_results=starting_results,
target_item_count=200)
backpack.add_item(Item(weight10=101))
target = WeightedAverageTarget("WAT1", lambda x: x.weight10, 100, 20,
2)
results = target.test(backpack)
expect(results.passes) is False
expect(float("{0:.4f}".format(results.result))) == 105.4995
def test_fails(self):
item = Item(weight1=25.1)
max_value_results = MaxValueResult(
True, {item: {
'pass': True,
'total': 25.1
}}, "Test Rule")
results = AllTestResults()
results.update_constraint(max_value_results)
backpack = Backpack(test_results=results)
backpack.add_item(item)
constraint = FastMaxItemValue(lambda x: x.weight1, 50, "Test Rule")
new_max_value_results = constraint.test(backpack)
expect(new_max_value_results.passes) == False
def test_progress_to_demand(self):
backpack = Backpack()
backpack.add_item(Item(weight1=2))
demand = FastMinTotalValue(lambda x: x.weight1, 5, "Test Rule")
results = demand.test(backpack)
expect(results.progress_to_demand) == 0.4
def test_fails(self):
backpack = Backpack()
backpack.add_item(Item(weight1=9))
demand = FastMinTotalValue(lambda x: x.weight1, 10, "Test Rule")
results = demand.test(backpack)
expect(results.passes) == False
def test_passes(self):
backpack = Backpack()
backpack.add_item(Item(weight1=10))
constraint = FastMaxItemValue(lambda x: x.weight1, 10, "Test Rule")
results = constraint.test(backpack)
expect(results.passes) == True