def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._mock_syntax = create_autospec(IDiceExpression)
self._mock_syntax.roll.return_value = 2
self._mock_syntax.max.return_value = 8
self._mock_syntax.min.return_value = 6
self._mock_syntax.__str__.return_value = "7d3"
self._mock_syntax.estimated_cost.return_value = 45
self._mock_syntax.get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
-5: 1,
1: 2,
4: 1
})
self._mock_syntax.get_contained_variables.return_value = {"mock"}
self._test_name = "test_name"
self._mock_state = create_autospec(IProbabilityDistributionState,
spec_set=True)
self._test_assignment_expression = VarAssignmentExpression(
self._mock_state, self._test_name, self._mock_syntax)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
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 = "7"
self._mock_syntax[0].estimated_cost.return_value = 7
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 = "2"
self._mock_syntax[1].estimated_cost.return_value = 2
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_add = AddExpression(self._mock_syntax[0], self._mock_syntax[1])
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._mock_syntax = [
create_autospec(IDiceExpression) for _ in range(4)
]
self._mock_syntax[0].roll.return_value = 10
self._mock_syntax[0].max.return_value = 8
self._mock_syntax[0].min.return_value = 201
self._mock_syntax[0].__str__.return_value = "7"
self._mock_syntax[0].estimated_cost.return_value = 7
self._mock_syntax[
0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
201: 1,
-10: 1
})
self._mock_syntax[0].get_contained_variables.return_value = {
"mock one"
}
self._mock_syntax[1].roll.return_value = 3
self._mock_syntax[1].max.return_value = 8
self._mock_syntax[1].min.return_value = 2
self._mock_syntax[1].__str__.return_value = "2"
self._mock_syntax[1].estimated_cost.return_value = 9
self._mock_syntax[
1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
2: 1,
-2: 1
})
self._mock_syntax[1].get_contained_variables.return_value = {
"mock two"
}
self._mock_syntax[
2].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
10: 1,
12: 2
})
self._mock_syntax[
3].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
2: 1,
3: 2,
0: 10
})
self._test_integer_division = IntegerDivisionExpression(
self._mock_syntax[0], self._mock_syntax[1])
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def setUp(self) -> None:
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._probability_outcome_factory = ProbabilityOutcomeFactory()
self._constraint_factory = ConstraintFactory()
self._test_name = "test_name"
_1_n5 = self._probability_outcome_factory.create_empty(-5)
_1_n5.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_1", {-5}))
_1_1 = self._probability_outcome_factory.create_empty(1)
_1_1.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_1", {1}))
_1_4 = self._probability_outcome_factory.create_empty(4)
_1_4.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_1", {4}))
_2_n5 = self._probability_outcome_factory.create_empty(-5)
_2_n5.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_2", {-5}))
_2_1 = self._probability_outcome_factory.create_empty(1)
_2_1.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_2", {1}))
_2_4 = self._probability_outcome_factory.create_empty(4)
_2_4.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_2", {4}))
self._test_distribution = self._probability_distribution_factory.create(
{
-5: 1,
1: 2,
4: 1
})
self._return_one_distribution = self._probability_distribution_factory.create(
{
_1_n5: 1,
_1_1: 2,
_1_4: 1
})
self._return_two_distribution = self._probability_distribution_factory.create(
{
_2_n5: 1,
_2_1: 2,
_2_4: 1
})
self._test_int = 1
self._test_probability_state = ProbabilityDistributionState(
self._probability_distribution_factory, self._constraint_factory)
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory()
self._mock_syntax = create_autospec(IDiceExpression)
self._mock_syntax.roll.return_value = 10
self._mock_syntax.max.return_value = 8
self._mock_syntax.min.return_value = 6
self._mock_syntax.__str__.return_value = "7d4"
self._mock_syntax.estimated_cost.return_value = 987654321
self._mock_syntax.get_probability_distribution.return_value = self._probability_distribution_factory.create(
{-2: 1, 4: 1}
)
self._mock_syntax.get_contained_variables.return_value = {"mock"}
self._test_parentheses_enclosed_expression = ParenthesisEnclosedExpression(self._mock_syntax)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def __init__(
self,
lexer: Optional[IPythonDiceLexer] = None,
probability_distribution_factory: Optional[
IProbabilityDistributionFactory] = None,
probability_distribution_state_factory: Optional[
IProbabilityDistributionStateFactory] = None,
):
if lexer is None:
lexer = PythonDiceLexer()
if probability_distribution_factory is None:
probability_distribution_factory = ProbabilityDistributionFactory()
if probability_distribution_state_factory is None:
probability_distribution_state_factory = ProbabilityDistributionStateFactory(
)
self._lexer = lexer
parser_generator = rply.ParserGenerator(
[syntax.get_token_name() for syntax in LEXER_SYNTAX],
precedence=PRECEDENCE,
)
for syntax in PARSER_EXPRESSIONS:
syntax.add_production_function(parser_generator,
probability_distribution_factory)
# pylint: disable=unused-variable
@parser_generator.error
def error_handler(_: ProbabilityDistributionState,
token: rply.token.Token):
raise ValueError(
f"Ran into a {token.gettokentype()} ({token.getstr()}) where it wasn't expected, at position {token.getsourcepos()}."
)
self._parser = parser_generator.build()
self._probability_distribution_state_factory = probability_distribution_state_factory
class TestGetVarExpression(TestCase):
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._probability_distribution = self._probability_distribution_factory.create(
{
-5: 1,
1: 2,
4: 1
})
self._test_name = "test_name"
self._mock_state = create_autospec(IProbabilityDistributionState,
spec_set=True)
self._mock_state.get_constant.return_value = 2
self._mock_state.get_var.return_value = self._probability_distribution
self._test_assignment_expression = GetVarExpression(
self._mock_state, self._test_name)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_get_var_add_production_function(self):
GetVarExpression.add_production_function(
self._mock_parser_gen, self._probability_distribution_factory)
self._mock_parser_gen.production.assert_called_once_with(
"""expression : NAME""")
def test_get_var_roll(self):
for _ in range(100):
self.assertEqual(2, self._test_assignment_expression.roll())
self._mock_state.get_constant.assert_called_with(self._test_name)
def test_get_var_max(self):
self.assertEqual(2, self._test_assignment_expression.max())
self._mock_state.get_constant.assert_called_with(self._test_name)
def test_get_var_min(self):
self.assertEqual(2, self._test_assignment_expression.min())
self._mock_state.get_constant.assert_called_with(self._test_name)
def test_var_assignment_str(self):
self.assertEqual(f"{self._test_name}",
str(self._test_assignment_expression))
def test_var_estimated_cost(self):
self.assertEqual(2, self._test_assignment_expression.estimated_cost())
def test_var_get_probability_distribution(self):
self.assertEqual(
self._probability_distribution,
self._test_assignment_expression.get_probability_distribution(),
)
self._mock_state.get_var.assert_called_with(self._test_name)
def test_dice_get_contained_variables(self):
self.assertSetEqual(
{f"{self._test_name}"},
self._test_assignment_expression.get_contained_variables(),
)
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._probability_distribution = self._probability_distribution_factory.create(
{
-5: 1,
1: 2,
4: 1
})
self._test_name = "test_name"
self._mock_state = create_autospec(IProbabilityDistributionState,
spec_set=True)
self._mock_state.get_constant.return_value = 2
self._mock_state.get_var.return_value = self._probability_distribution
self._test_assignment_expression = GetVarExpression(
self._mock_state, self._test_name)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._mock_syntax = create_autospec(IDiceExpression)
self._mock_syntax.roll.return_value = 2
self._mock_syntax.max.return_value = 8
self._mock_syntax.min.return_value = 6
self._mock_syntax.__str__.return_value = "7d3"
self._mock_syntax.estimated_cost.return_value = 21
self._mock_syntax.get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
-5: 1,
1: 2,
4: 1
})
self._mock_syntax.get_contained_variables.return_value = {"mock"}
self._test_abs_operator = AbsExpression(self._mock_syntax)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
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 = 9
self._mock_syntax[0].max.return_value = 8
self._mock_syntax[0].min.return_value = 6
self._mock_syntax[0].__str__.return_value = "7"
self._mock_syntax[0].estimated_cost.return_value = 9
self._mock_syntax[
0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
-3: 1,
0: 2,
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 = "2d8"
self._mock_syntax[1].estimated_cost.return_value = 7
self._mock_syntax[
1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
-3: 2,
0: 1,
1: 2,
4: 1
})
self._mock_syntax[1].get_contained_variables.return_value = {
"mock two"
}
self._test_binary_operator = BinaryOperatorExpression(
">", self._mock_syntax[0], self._mock_syntax[1])
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
class TestParenthesisEnclosedExpression(TestCase):
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory()
self._mock_syntax = create_autospec(IDiceExpression)
self._mock_syntax.roll.return_value = 10
self._mock_syntax.max.return_value = 8
self._mock_syntax.min.return_value = 6
self._mock_syntax.__str__.return_value = "7d4"
self._mock_syntax.estimated_cost.return_value = 987654321
self._mock_syntax.get_probability_distribution.return_value = self._probability_distribution_factory.create(
{-2: 1, 4: 1}
)
self._mock_syntax.get_contained_variables.return_value = {"mock"}
self._test_parentheses_enclosed_expression = ParenthesisEnclosedExpression(self._mock_syntax)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_add_add_production_function(self):
ParenthesisEnclosedExpression.add_production_function(
self._mock_parser_gen, self._probability_distribution_factory
)
self._mock_parser_gen.production.assert_called_once_with(
"""expression : OPEN_PARENTHESIS expression CLOSE_PARENTHESIS"""
)
def test_parenthesis_roll(self):
for _ in range(100):
self.assertEqual(10, self._test_parentheses_enclosed_expression.roll())
def test_parenthesis_max(self):
self.assertEqual(8, self._test_parentheses_enclosed_expression.max())
def test_parenthesis_min(self):
self.assertEqual(6, self._test_parentheses_enclosed_expression.min())
def test_parenthesis_str(self):
self.assertEqual("(7d4)", str(self._test_parentheses_enclosed_expression))
def test_parenthesis_estimated_cost(self):
self.assertEqual(987654321, self._test_parentheses_enclosed_expression.estimated_cost())
def test_parenthesis_get_probability_distribution(self):
self.assertEqual(
{-2: 1, 4: 1},
self._test_parentheses_enclosed_expression.get_probability_distribution().get_result_map(),
)
def test_parenthesis_get_contained_variables(self):
self.assertSetEqual(
{"mock"},
self._test_parentheses_enclosed_expression.get_contained_variables(),
)
def __init__(
self,
probability_distribution_factory: Optional[
IProbabilityDistributionFactory] = None,
constraint_factory: Optional[IConstraintFactory] = None,
):
if probability_distribution_factory is None:
probability_distribution_factory = ProbabilityDistributionFactory()
if constraint_factory is None:
constraint_factory = ConstraintFactory()
self._probability_distribution_factory = probability_distribution_factory
self._constraint_factory = constraint_factory
def __init__(
self,
parser: Optional[IPythonDiceParser] = None,
starting_state: Optional[IProbabilityDistributionState] = None,
probability_distribution_state_factory: Optional[IProbabilityDistributionStateFactory] = None,
probability_distribution_factory: Optional[IProbabilityDistributionFactory] = None,
):
if parser is None:
parser = PythonDiceParser()
if probability_distribution_state_factory is None:
probability_distribution_state_factory = ProbabilityDistributionStateFactory()
if probability_distribution_factory is None:
probability_distribution_factory = ProbabilityDistributionFactory()
if starting_state is None:
starting_state = probability_distribution_state_factory.create_new_empty_set()
self._parser = parser
self._state = starting_state
self._probability_distribution_factory = probability_distribution_factory
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._test_dice = DiceExpression(
"4d6", self._probability_distribution_factory)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
class TestBinaryOperatorGreaterThanExpression(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 = 9
self._mock_syntax[0].max.return_value = 8
self._mock_syntax[0].min.return_value = 6
self._mock_syntax[0].__str__.return_value = "7"
self._mock_syntax[0].estimated_cost.return_value = 9
self._mock_syntax[
0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
-3: 1,
0: 2,
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 = "2d8"
self._mock_syntax[1].estimated_cost.return_value = 7
self._mock_syntax[
1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
-3: 2,
0: 1,
1: 2,
4: 1
})
self._mock_syntax[1].get_contained_variables.return_value = {
"mock two"
}
self._test_binary_operator = BinaryOperatorExpression(
">", self._mock_syntax[0], self._mock_syntax[1])
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_binary_operator_add_production_function(self):
BinaryOperatorExpression.add_production_function(
self._mock_parser_gen, self._probability_distribution_factory)
self._mock_parser_gen.production.assert_called_once_with(
"""expression : expression BINARY_OPERATOR expression""")
def test_gt_roll_true(self):
for _ in range(100):
self.assertEqual(1, self._test_binary_operator.roll())
def test_gt_roll_false(self):
self._mock_syntax[0].roll.return_value = 2
for _ in range(100):
self.assertEqual(0, self._test_binary_operator.roll())
def test_gt_max_true(self):
self.assertEqual(1, self._test_binary_operator.max())
def test_gt_max_false(self):
self._mock_syntax[
0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{5: 1})
self._mock_syntax[
1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{5: 1})
self.assertEqual(0, self._test_binary_operator.max())
def test_gt_min_true(self):
self._mock_syntax[
0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
5: 1,
6: 1
})
self._mock_syntax[
1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{4: 1})
self.assertEqual(1, self._test_binary_operator.min())
def test_gt_min_false(self):
self.assertEqual(0, self._test_binary_operator.min())
def test_gt_str(self):
self.assertEqual("7 > 2d8", str(self._test_binary_operator))
def test_gt_estimated_cost(self):
self.assertEqual(16, self._test_binary_operator.estimated_cost())
def test_gt_get_probability_distribution(self):
self.assertEqual(
{
0: 15,
1: 9
},
self._test_binary_operator.get_probability_distribution().
get_result_map(),
)
def test_gt_get_contained_variables(self):
self.assertSetEqual(
{"mock one", "mock two"},
self._test_binary_operator.get_contained_variables(),
)
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory()
self._test_constant_integers = ConstantIntegerExpression("14", self._probability_distribution_factory)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
class TestIntegerDivisionExpression(TestCase):
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._mock_syntax = [
create_autospec(IDiceExpression) for _ in range(4)
]
self._mock_syntax[0].roll.return_value = 10
self._mock_syntax[0].max.return_value = 8
self._mock_syntax[0].min.return_value = 201
self._mock_syntax[0].__str__.return_value = "7"
self._mock_syntax[0].estimated_cost.return_value = 7
self._mock_syntax[
0].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
201: 1,
-10: 1
})
self._mock_syntax[0].get_contained_variables.return_value = {
"mock one"
}
self._mock_syntax[1].roll.return_value = 3
self._mock_syntax[1].max.return_value = 8
self._mock_syntax[1].min.return_value = 2
self._mock_syntax[1].__str__.return_value = "2"
self._mock_syntax[1].estimated_cost.return_value = 9
self._mock_syntax[
1].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
2: 1,
-2: 1
})
self._mock_syntax[1].get_contained_variables.return_value = {
"mock two"
}
self._mock_syntax[
2].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
10: 1,
12: 2
})
self._mock_syntax[
3].get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
2: 1,
3: 2,
0: 10
})
self._test_integer_division = IntegerDivisionExpression(
self._mock_syntax[0], self._mock_syntax[1])
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_integer_division_add_production_function(self):
IntegerDivisionExpression.add_production_function(
self._mock_parser_gen, self._probability_distribution_factory)
self._mock_parser_gen.production.assert_called_once_with(
"""expression : expression INTEGER_DIVISION expression""")
def test_integer_division_roll(self):
for _ in range(100):
self.assertEqual(3, self._test_integer_division.roll())
def test_integer_division_roll_raise_on_zero(self):
self._mock_syntax[1].roll.return_value = 0
self.assertRaises(ZeroDivisionError, self._test_integer_division.roll)
def test_integer_division_max(self):
self.assertEqual(100, self._test_integer_division.max())
def test_integer_division_max_raise_on_zero(self):
self._test_integer_division = IntegerDivisionExpression(
self._mock_syntax[2], self._mock_syntax[3])
self.assertRaises(ZeroDivisionError, self._test_integer_division.max)
def test_integer_division_min(self):
self.assertEqual(-101, self._test_integer_division.min())
def test_integer_division_min_raise_on_zero(self):
self._test_integer_division = IntegerDivisionExpression(
self._mock_syntax[2], self._mock_syntax[3])
self.assertRaises(ZeroDivisionError, self._test_integer_division.min)
def test_integer_division_str(self):
self.assertEqual("7 // 2", str(self._test_integer_division))
def test_integer_division_estimated_cost(self):
self.assertEqual(16, self._test_integer_division.estimated_cost())
def test_integer_division_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(
{
5: 1,
6: 2,
3: 2,
4: 4,
0: 3
},
self._test_integer_division.get_probability_distribution().
get_result_map(),
)
def test_integer_division_get_probability_distribution_raise_on_zero(self):
self._test_integer_division = IntegerDivisionExpression(
self._mock_syntax[2], self._mock_syntax[3])
self.assertRaises(
ZeroDivisionError,
self._test_integer_division.get_probability_distribution)
def test_integer_division_get_contained_variables(self):
self.assertSetEqual(
{"mock one", "mock two"},
self._test_integer_division.get_contained_variables(),
)
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 = "7"
self._mock_syntax[0].estimated_cost.return_value = 7
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 = "2"
self._mock_syntax[1].estimated_cost.return_value = 2
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_add = AddExpression(self._mock_syntax[0], self._mock_syntax[1])
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_add_add_production_function(self):
AddExpression.add_production_function(self._mock_parser_gen, self._probability_distribution_factory)
self._mock_parser_gen.production.assert_called_once_with("""expression : expression ADD expression""")
def test_add_roll(self):
for _ in range(100):
self.assertEqual(14, self._test_add.roll())
def test_add_max(self):
self.assertEqual(12, self._test_add.max())
def test_add_min(self):
self.assertEqual(-5, self._test_add.min())
def test_add_str(self):
self.assertEqual("7 + 2", str(self._test_add))
def test_add_estimated_cost(self):
self.assertEqual(9, self._test_add.estimated_cost())
def test_add_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(
{12: 1, -10: 2, 2: 1, 13: 2, -9: 4, 3: 2},
self._test_add.get_probability_distribution().get_result_map(),
)
def test_add_get_contained_variables(self):
self.assertSetEqual({"mock one", "mock two"}, self._test_add.get_contained_variables())
class TestMultiplyExpression(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 = 2
self._mock_syntax[0].__str__.return_value = "7"
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 = "2"
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_multiply = MultiplyExpression(self._mock_syntax[0],
self._mock_syntax[1])
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_multiply_add_production_function(self):
MultiplyExpression.add_production_function(
self._mock_parser_gen, self._probability_distribution_factory)
self._mock_parser_gen.production.assert_called_once_with(
"""expression : expression MULTIPLY expression""")
def test_multiply_roll(self):
for _ in range(100):
self.assertEqual(40, self._test_multiply.roll())
def test_multiply_max(self):
self.assertEqual(32, self._test_multiply.max())
def test_multiply_min(self):
self.assertEqual(-16, self._test_multiply.min())
def test_multiply_str(self):
self.assertEqual("7 * 2", str(self._test_multiply))
def test_multiply_estimated_cost(self):
self.assertEqual(16, self._test_multiply.estimated_cost())
def test_multiply_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(
{
-36: 4,
-24: 2,
0: 3,
20: 1,
30: 2
},
self._test_multiply.get_probability_distribution().get_result_map(
),
)
def test_multiply_get_contained_variables(self):
self.assertSetEqual({"mock one", "mock two"},
self._test_multiply.get_contained_variables())
class TestSubtractExpression(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 = "7"
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 = "2"
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_subtract = SubtractExpression(self._mock_syntax[0],
self._mock_syntax[1])
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_subtract_add_production_function(self):
SubtractExpression.add_production_function(
self._mock_parser_gen, self._probability_distribution_factory)
self._mock_parser_gen.production.assert_called_once_with(
"""expression : expression SUBTRACT expression""")
def test_subtract_roll(self):
for _ in range(100):
self.assertEqual(6, self._test_subtract.roll())
def test_subtract_max(self):
self.assertEqual(7, self._test_subtract.max())
def test_subtract_min(self):
self.assertEqual(-10, self._test_subtract.min())
def test_subtract_str(self):
self.assertEqual("7 - 2", str(self._test_subtract))
def test_subtract_estimated_cost(self):
self.assertEqual(16, self._test_subtract.estimated_cost())
def test_subtract_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(
{
8: 1,
-14: 2,
-2: 1,
7: 2,
-15: 4,
-3: 2
},
self._test_subtract.get_probability_distribution().get_result_map(
),
)
def test_subtract_get_contained_variables(self):
self.assertSetEqual({"mock one", "mock two"},
self._test_subtract.get_contained_variables())
class TestVarAssignmentExpression(TestCase):
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._mock_syntax = create_autospec(IDiceExpression)
self._mock_syntax.roll.return_value = 2
self._mock_syntax.max.return_value = 8
self._mock_syntax.min.return_value = 6
self._mock_syntax.__str__.return_value = "7d3"
self._mock_syntax.estimated_cost.return_value = 45
self._mock_syntax.get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
-5: 1,
1: 2,
4: 1
})
self._mock_syntax.get_contained_variables.return_value = {"mock"}
self._test_name = "test_name"
self._mock_state = create_autospec(IProbabilityDistributionState,
spec_set=True)
self._test_assignment_expression = VarAssignmentExpression(
self._mock_state, self._test_name, self._mock_syntax)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_var_assignment_add_production_function(self):
VarAssignmentExpression.add_production_function(
self._mock_parser_gen, self._probability_distribution_factory)
self._mock_parser_gen.production.assert_called_once_with(
"""expression : VAR NAME ASSIGNMENT expression""")
def test_var_assignment_roll(self):
for _ in range(100):
self.assertEqual(2, self._test_assignment_expression.roll())
self._mock_state.set_constant.assert_called_with(self._test_name, 2)
def test_var_assignment_max(self):
self.assertEqual(8, self._test_assignment_expression.max())
self._mock_state.set_constant.assert_called_with(self._test_name, 8)
def test_var_assignment_min(self):
self.assertEqual(6, self._test_assignment_expression.min())
self._mock_state.set_constant.assert_called_with(self._test_name, 6)
def test_var_assignment_str(self):
self.assertEqual(f"VAR {self._test_name} = 7d3",
str(self._test_assignment_expression))
def test_var_assignment_estimated_cost(self):
self.assertEqual(45 + 2,
self._test_assignment_expression.estimated_cost())
def test_var_get_probability_distribution(self):
mock_probability_distribution = create_autospec(
IProbabilityDistribution)
self._mock_syntax.get_probability_distribution.return_value = mock_probability_distribution
self.assertEqual(
mock_probability_distribution,
self._test_assignment_expression.get_probability_distribution(),
)
self._mock_state.set_var.assert_called_with(
self._test_name, mock_probability_distribution)
def test_get_contained_variables(self):
self.assertEqual(
set(), self._test_assignment_expression.get_contained_variables())
class TestBinaryOperatorNotExpression(TestCase):
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._mock_syntax = create_autospec(IDiceExpression)
self._mock_syntax.roll.return_value = 0
self._mock_syntax.max.return_value = 8
self._mock_syntax.min.return_value = 6
self._mock_syntax.__str__.return_value = "7d3"
self._mock_syntax.estimated_cost.return_value = 9
self._mock_syntax.get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
-3: 1,
0: 2,
4: 1
})
self._mock_syntax.get_contained_variables.return_value = {"mock"}
self._test_binary_operator = NotExpression(self._mock_syntax)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_binary_operator_add_production_function(self):
NotExpression.add_production_function(
self._mock_parser_gen, self._probability_distribution_factory)
self._mock_parser_gen.production.assert_called_once_with(
"""expression : NOT expression""")
def test_ne_roll_true(self):
for _ in range(100):
self.assertEqual(1, self._test_binary_operator.roll())
def test_ne_roll_false(self):
self._mock_syntax.roll.return_value = 4
for _ in range(100):
self.assertEqual(0, self._test_binary_operator.roll())
def test_ne_max_true(self):
self._mock_syntax.max.return_value = 4
self.assertEqual(1, self._test_binary_operator.max())
def test_ne_max_false(self):
self._mock_syntax.get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
4: 1,
54: 1
})
self.assertEqual(0, self._test_binary_operator.max())
def test_ne_min_true(self):
self._mock_syntax.get_probability_distribution.return_value = self._probability_distribution_factory.create(
{0: 1})
self.assertEqual(1, self._test_binary_operator.min())
def test_ne_min_false(self):
self.assertEqual(0, self._test_binary_operator.min())
def test_ne_str(self):
self.assertEqual("!7d3", str(self._test_binary_operator))
def test_ne_estimated_cost(self):
self.assertEqual(9, self._test_binary_operator.estimated_cost())
def test_ne_get_probability_distribution(self):
self.assertEqual(
{
0: 1,
1: 3
},
self._test_binary_operator.get_probability_distribution().
get_result_map(),
)
def test_ne_get_contained_variables(self):
self.assertSetEqual(
{"mock"},
self._test_binary_operator.get_contained_variables(),
)
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory()
self._test_constant_binary_true = ConstantBinaryExpression("True", self._probability_distribution_factory)
self._test_constant_binary_false = ConstantBinaryExpression("False", self._probability_distribution_factory)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
class TestAbsExpression(TestCase):
def setUp(self):
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._mock_syntax = create_autospec(IDiceExpression)
self._mock_syntax.roll.return_value = 2
self._mock_syntax.max.return_value = 8
self._mock_syntax.min.return_value = 6
self._mock_syntax.__str__.return_value = "7d3"
self._mock_syntax.estimated_cost.return_value = 21
self._mock_syntax.get_probability_distribution.return_value = self._probability_distribution_factory.create(
{
-5: 1,
1: 2,
4: 1
})
self._mock_syntax.get_contained_variables.return_value = {"mock"}
self._test_abs_operator = AbsExpression(self._mock_syntax)
self._mock_parser_gen = create_autospec(rply.ParserGenerator)
def test_abs_add_production_function(self):
AbsExpression.add_production_function(
self._mock_parser_gen, self._probability_distribution_factory)
self._mock_parser_gen.production.assert_called_once_with(
"""expression : ABS OPEN_PARENTHESIS expression CLOSE_PARENTHESIS"""
)
def test_abs_roll_pos(self):
for _ in range(100):
self.assertEqual(2, self._test_abs_operator.roll())
def test_abs_roll_neg(self):
self._mock_syntax.roll.return_value = -4
for _ in range(100):
self.assertEqual(4, self._test_abs_operator.roll())
def test_abs_max(self):
self.assertEqual(5, self._test_abs_operator.max())
def test_abs_min(self):
self.assertEqual(1, self._test_abs_operator.min())
def test_abs_str(self):
self.assertEqual("ABS(7d3)", str(self._test_abs_operator))
def test_abs_estimated_cost(self):
self.assertEqual(21, self._test_abs_operator.estimated_cost())
def test_abs_get_probability_distribution(self):
self.assertEqual(
{
1: 2,
4: 1,
5: 1
},
self._test_abs_operator.get_probability_distribution().
get_result_map(),
)
def test_abs_get_contained_variables(self):
self.assertSetEqual({"mock"},
self._test_abs_operator.get_contained_variables())
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())
class TestProbabilityState(TestCase):
def setUp(self) -> None:
self._probability_distribution_factory = ProbabilityDistributionFactory(
)
self._probability_outcome_factory = ProbabilityOutcomeFactory()
self._constraint_factory = ConstraintFactory()
self._test_name = "test_name"
_1_n5 = self._probability_outcome_factory.create_empty(-5)
_1_n5.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_1", {-5}))
_1_1 = self._probability_outcome_factory.create_empty(1)
_1_1.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_1", {1}))
_1_4 = self._probability_outcome_factory.create_empty(4)
_1_4.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_1", {4}))
_2_n5 = self._probability_outcome_factory.create_empty(-5)
_2_n5.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_2", {-5}))
_2_1 = self._probability_outcome_factory.create_empty(1)
_2_1.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_2", {1}))
_2_4 = self._probability_outcome_factory.create_empty(4)
_2_4.constraint_set.add_constraint(
self._constraint_factory.var_value_constraint("test_name_2", {4}))
self._test_distribution = self._probability_distribution_factory.create(
{
-5: 1,
1: 2,
4: 1
})
self._return_one_distribution = self._probability_distribution_factory.create(
{
_1_n5: 1,
_1_1: 2,
_1_4: 1
})
self._return_two_distribution = self._probability_distribution_factory.create(
{
_2_n5: 1,
_2_1: 2,
_2_4: 1
})
self._test_int = 1
self._test_probability_state = ProbabilityDistributionState(
self._probability_distribution_factory, self._constraint_factory)
def test_probability_state_has_constant_false(self):
self._test_probability_state.set_constant("a", self._test_int)
self.assertFalse(
self._test_probability_state.has_constant(self._test_name))
def test_probability_state_has_constant_true(self):
self._test_probability_state.set_constant(self._test_name,
self._test_int)
self.assertTrue(
self._test_probability_state.has_constant(self._test_name))
def test_probability_state_has_var_false(self):
self._test_probability_state.set_var("a", self._test_distribution)
self.assertFalse(self._test_probability_state.has_var(self._test_name))
def test_probability_state_has_var_true(self):
self._test_probability_state.set_var(self._test_name,
self._test_distribution)
self.assertTrue(self._test_probability_state.has_var(self._test_name))
def test_probability_state_get_constant_false(self):
self._test_probability_state.set_constant("a", self._test_int)
with self.assertRaises(KeyError):
self._test_probability_state.get_constant(self._test_name)
def test_probability_state_get_constant_true(self):
self._test_probability_state.set_constant(self._test_name,
self._test_int)
self.assertEqual(
self._test_int,
self._test_probability_state.get_constant(self._test_name))
def test_probability_state_get_var_false(self):
self._test_probability_state.set_var("a", self._test_distribution)
with self.assertRaises(KeyError):
self._test_probability_state.get_var(self._test_name)
def test_probability_state_get_var_dict(self):
self._test_probability_state.set_var(self._test_name,
self._test_distribution)
self.assertIn(
self._test_name,
self._test_probability_state.get_var_dict(),
)
self.assertEqual(
str(self._return_one_distribution),
str(self._test_probability_state.get_var_dict()[self._test_name]))
def test_probability_state_get_var_dict_second_time(self):
self._test_probability_state.set_var(self._test_name,
self._test_distribution)
self._test_probability_state.set_var(self._test_name,
self._test_distribution)
self.assertIn(
self._test_name,
self._test_probability_state.get_var_dict(),
)
self.assertEqual(
str(self._return_two_distribution),
str(self._test_probability_state.get_var_dict()[self._test_name]))
def test_probability_state_get_constant_dict(self):
self._test_probability_state.set_constant(self._test_name,
self._test_int)
self.assertEqual(
{self._test_name: self._test_int},
self._test_probability_state.get_constant_dict(),
)