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Introduced ordering at model level...

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Brandon Rozek 2024-04-21 12:15:24 -04:00
parent 20ccacc166
commit ae8658fda2
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2 changed files with 67 additions and 22 deletions
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24
generate_model.py
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@ -22,7 +22,7 @@ def possible_functions(operation, carrier_set):
new_function = dict()
for input, output in zip(inputs, outputs):
new_function[input] = output
yield ModelFunction(new_function, operation.symbol)
@ -46,7 +46,6 @@ def only_rules_with(rules: Set[Rule], operation: Operation) -> Set[Rule]:
return result_rules
def possible_interpretations(
logic: Logic, carrier_set: Set[ModelValue],
designated_values: Set[ModelValue]):
@ -88,10 +87,25 @@ def possible_interpretations(
yield interpretation
def generate_model(logic: Logic, number_elements: int, num_solutions: int = -1, print_model=False):
assert number_elements > 0
carrier_set = {
ModelValue("a" + str(i)) for i in range(number_elements)
}
ordering = set()
# a(0) is less than all other elements
a0 = ModelValue("a0")
for v in carrier_set:
if v != a0:
ordering.add(a0 < v)
# Every other element is less than a(n - 1)
an = ModelValue(f"a{number_elements-1}")
for v in carrier_set:
if an != v:
ordering.add(v < an)
possible_designated_values = possible_designations(carrier_set)
satisfied_models = []
@ -102,7 +116,7 @@ def generate_model(logic: Logic, number_elements: int, num_solutions: int = -1,
for interpretation in possible_interps:
is_valid = True
model = Model(carrier_set, set(interpretation.values()), designated_values)
model = Model(carrier_set, set(interpretation.values()), designated_values, ordering)
# Iteratively test possible interpretations
# by adding one axiom at a time
for rule in logic.rules:
@ -110,12 +124,12 @@ def generate_model(logic: Logic, number_elements: int, num_solutions: int = -1,
if not satisfiable(small_logic, model, interpretation):
is_valid = False
break
if is_valid:
satisfied_models.append(model)
if print_model:
print(model, flush=True)
if num_solutions >= 0 and len(satisfied_models) >= num_solutions:
return satisfied_models