def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory()
self._mock_syntax = [create_autospec(IDiceExpression) for _ in range(2)]
self._mock_syntax[0].roll.return_value = 10
self._mock_syntax[0].max.return_value = 8
self._mock_syntax[0].min.return_value = 6
self._mock_syntax[0].__str__.return_value = "7d7"
self._mock_syntax[0].estimated_cost.return_value = 9
self._mock_syntax[0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{-2: 1, 4: 1}
)
self._mock_syntax[0].get_contained_variables.return_value = {"mock one"}
self._mock_syntax[1].roll.return_value = 4
self._mock_syntax[1].max.return_value = 6
self._mock_syntax[1].min.return_value = 8
self._mock_syntax[1].__str__.return_value = "2d2"
self._mock_syntax[1].estimated_cost.return_value = 7
self._mock_syntax[1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{8: 1, -3: 2}
)
self._mock_syntax[1].get_contained_variables.return_value = {"mock two"}
self._test_minmax = MinMaxExpression("MAX", self._mock_syntax[0], self._mock_syntax[1])
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_min_get_probability_distribution(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
self._mock_syntax[0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{10: 1, -12: 2, 0: 1}
)
self._mock_syntax[1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{2: 1, 3: 2}
)
self.assertEqual(
{-12: 6, 0: 3, 2: 1, 3: 2},
self._test_minmax.get_probability_distribution().get_result_map(),
)
def test_min_get_probability_distribution_third_example(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
self._mock_syntax[0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{-3: 1, -2: 1, -1: 1, 0: 1, 5: 1, 6: 1}
)
self._mock_syntax[1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{0: 1}
)
self.assertEqual(
{-3: 1, -2: 1, -1: 1, 0: 3},
self._test_minmax.get_probability_distribution().get_result_map(),
)
def test_min_str(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
self.assertEqual("MIN(7d7, 2d2)", str(self._test_minmax))
def test_min_min(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
self.assertEqual(6, self._test_minmax.min())
def test_min_roll(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
for _ in range(100):
self.assertEqual(4, self._test_minmax.roll())
def test_minmax_add_production_function(self):
MinMaxExpression.add_production_function(self._mock_parser_gen, self._probability_distribution_factory)
self._mock_parser_gen.production.assert_called_once_with(
"""expression : MINMAX OPEN_PARENTHESIS expression COMMA expression CLOSE_PARENTHESIS"""
)
class TestAddExpression(TestCase):
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory()
self._mock_syntax = [create_autospec(IDiceExpression) for _ in range(2)]
self._mock_syntax[0].roll.return_value = 10
self._mock_syntax[0].max.return_value = 8
self._mock_syntax[0].min.return_value = 6
self._mock_syntax[0].__str__.return_value = "7d7"
self._mock_syntax[0].estimated_cost.return_value = 9
self._mock_syntax[0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{-2: 1, 4: 1}
)
self._mock_syntax[0].get_contained_variables.return_value = {"mock one"}
self._mock_syntax[1].roll.return_value = 4
self._mock_syntax[1].max.return_value = 6
self._mock_syntax[1].min.return_value = 8
self._mock_syntax[1].__str__.return_value = "2d2"
self._mock_syntax[1].estimated_cost.return_value = 7
self._mock_syntax[1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{8: 1, -3: 2}
)
self._mock_syntax[1].get_contained_variables.return_value = {"mock two"}
self._test_minmax = MinMaxExpression("MAX", self._mock_syntax[0], self._mock_syntax[1])
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_minmax_add_production_function(self):
MinMaxExpression.add_production_function(self._mock_parser_gen, self._probability_distribution_factory)
self._mock_parser_gen.production.assert_called_once_with(
"""expression : MINMAX OPEN_PARENTHESIS expression COMMA expression CLOSE_PARENTHESIS"""
)
def test_max_roll(self):
for _ in range(100):
self.assertEqual(10, self._test_minmax.roll())
def test_min_roll(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
for _ in range(100):
self.assertEqual(4, self._test_minmax.roll())
def test_max_max(self):
self.assertEqual(8, self._test_minmax.max())
def test_min_max(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
self.assertEqual(6, self._test_minmax.max())
def test_max_min(self):
self.assertEqual(8, self._test_minmax.max())
def test_min_min(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
self.assertEqual(6, self._test_minmax.min())
def test_max_str(self):
self.assertEqual("MAX(7d7, 2d2)", str(self._test_minmax))
def test_min_str(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
self.assertEqual("MIN(7d7, 2d2)", str(self._test_minmax))
def test_min_max_estimated_cost(self):
self.assertEqual(16, self._test_minmax.estimated_cost())
def test_max_get_probability_distribution(self):
self._mock_syntax[0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{10: 1, -12: 2, 0: 1}
)
self._mock_syntax[1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{2: 1, 3: 2}
)
self.assertEqual(
{2: 3, 3: 6, 10: 3},
self._test_minmax.get_probability_distribution().get_result_map(),
)
def test_min_get_probability_distribution(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
self._mock_syntax[0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{10: 1, -12: 2, 0: 1}
)
self._mock_syntax[1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{2: 1, 3: 2}
)
self.assertEqual(
{-12: 6, 0: 3, 2: 1, 3: 2},
self._test_minmax.get_probability_distribution().get_result_map(),
)
def test_max_get_probability_distribution_second_example(self):
self._mock_syntax[0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{-3: 1, -2: 1, -1: 1, 0: 1, 5: 1, 6: 1}
)
self._mock_syntax[1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{0: 1}
)
self.assertEqual(
{0: 4, 5: 1, 6: 1},
self._test_minmax.get_probability_distribution().get_result_map(),
)
def test_min_get_probability_distribution_second_example(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
self._mock_syntax[0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{-1: 1, 1: 1}
)
self._mock_syntax[1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{0: 1}
)
self.assertEqual(
{0: 1, -1: 1},
self._test_minmax.get_probability_distribution().get_result_map(),
)
def test_max_get_probability_distribution_third_example(self):
self._mock_syntax[0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{-1: 1, 1: 1}
)
self._mock_syntax[1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{0: 1}
)
self.assertEqual(
{0: 1, 1: 1},
self._test_minmax.get_probability_distribution().get_result_map(),
)
def test_min_get_probability_distribution_third_example(self):
self._test_minmax = MinMaxExpression("MIN", self._mock_syntax[0], self._mock_syntax[1])
self._mock_syntax[0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{-3: 1, -2: 1, -1: 1, 0: 1, 5: 1, 6: 1}
)
self._mock_syntax[1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{0: 1}
)
self.assertEqual(
{-3: 1, -2: 1, -1: 1, 0: 3},
self._test_minmax.get_probability_distribution().get_result_map(),
)
def test_min_get_contained_variables(self):
self.assertSetEqual({"mock one", "mock two"}, self._test_minmax.get_contained_variables())