コード例 #1
0
def test_evaluate_inference(debug=False):
    from propositions.proofs import InferenceRule

    # Test 1
    rule1 = InferenceRule([Formula.parse('p'), Formula.parse('q')],
                          Formula.parse('r'))
    for model in all_models(['p', 'q', 'r']):
        if debug:
            print('Testing evaluation of inference rule', rule1, 'in model',
                  model)
        assert evaluate_inference(rule1, frozendict(model)) == \
               (not model['p']) or (not model['q']) or model['r']

    # Test 2
    rule2 = InferenceRule([Formula.parse('(x|y)')],
                          Formula.parse('x'))
    for model in all_models(['x', 'y']):
        if debug:
            print('Testing evaluation of inference rule', rule2, 'in model',
                  model)
        assert evaluate_inference(rule2, frozendict(model)) == \
               (not model['y']) or model['x']

    # Test 3
    rule3 = InferenceRule([Formula.parse(s) for s in ['(p->q)', '(q->r)']],
                           Formula.parse('r'))
    for model in all_models(['p', 'q', 'r']):
        if debug:
            print('Testing evaluation of inference rule', rule3, 'in model',
                  model)
        assert evaluate_inference(rule3, frozendict(model)) == \
               (model['p'] and not model['q']) or \
               (model['q'] and not model['r']) or model['r']
コード例 #2
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def test_is_sound_inference(debug=False):
    from propositions.proofs import InferenceRule

    for assumptions,conclusion,tautological in [
            [[], '(~p|p)', True],
            [[], '(p|p)', False],
            [[], '(~p|q)', False],
            [['(~p|q)', 'p'], 'q', True],
            [['(p|q)', 'p'], 'q', False],
            [['(p|q)', '(~p|r)'], '(q|r)', True],
            [['(p->q)', '(q->r)'], 'r', False],
            [['(p->q)', '(q->r)'], '(p->r)', True],
            [['(x|y)'], '(y|x)', True],
            [['x'], '(x|y)', True],
            [['(x&y)'], 'x', True],
            [['x'], '(x&y)', False]]:
        rule = InferenceRule(
            [Formula.parse(assumption) for assumption in assumptions],
            Formula.parse(conclusion))
        if debug:
            print('Testing whether', rule, 'is sound')
        assert is_sound_inference(rule) == tautological

    for rule in [MP, I0, I1, D, I2, N, NI, NN, R,
                 A, NA1, NA2, O1, O2, NO, T, NF,
                 N_ALTERNATIVE, AE1, AE2, OE]:
        if debug:
            print('Testing that', rule, 'is sound')
        assert is_sound_inference(rule)
コード例 #3
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def propositional_prove(formula: str, assumptions: List[str]):
    from propositions.syntax import Formula
    from propositions.tautology import proof_or_counterexample, prove_in_model, evaluate, all_models
    from propositions.tautology import prove_tautology, encode_as_formula
    from propositions.proofs import InferenceRule

    f = Formula.parse(formula)
    if f is None:
        print_error('Could not parse the given formula')
        return None

    collected_assumptions = []
    for assumption in assumptions:
        a = Formula.parse(assumption)
        if a is None:
            print_error('Could not parse the given assumption')
            return None
        collected_assumptions.append(a)

    f = encode_as_formula(InferenceRule(collected_assumptions, f))

    valid_proofs = []
    for model in all_models(list(f.variables())):
        if not evaluate(f, model):
            valid_proofs.append(prove_in_model(f, model))

    if len(valid_proofs) > 0:
        print_result('Found valid proof:\n' + str(valid_proofs))
        return True

    print_result('No valid proof.\n' + str(proof_or_counterexample(f)))
    return False
コード例 #4
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def test_evaluate_inference(debug=False):
    from propositions.proofs import InferenceRule

    # Test 1
    rule1 = InferenceRule(
        [Formula.parse('p'), Formula.parse('q')], Formula.parse('r'))
    for model in all_models(['p', 'q', 'r']):
        if debug:
            print('Testing evaluation of inference rule', rule1, 'in model',
                  model)
        evaluation_result = evaluate_inference(rule1, frozendict(model)) == \
               (not model['p']) or (not model['q']) or model['r']
        if not evaluation_result:
            print("FAILED.")
            print("*" * 25)
            print("EXPECTED:", (not model['p']) or (not model['q'])
                  or model['r'])
            print(
                "REASON:  ",
                "(not {}) or (not {}) or {}".format(model['p'], model['q'],
                                                    model['r']))
            print("*" * 25)

        assert evaluation_result
        # assert evaluate_inference(rule1, frozendict(model)) == \
        #        (not model['p']) or (not model['q']) or model['r']

    # Test 2
    rule2 = InferenceRule([Formula.parse('(x|y)')], Formula.parse('x'))
    for model in all_models(['x', 'y']):
        if debug:
            print('Testing evaluation of inference rule', rule2, 'in model',
                  model)
        assert evaluate_inference(rule2, frozendict(model)) == \
               (not model['y']) or model['x']

    # Test 3
    rule3 = InferenceRule([Formula.parse(s) for s in ['(p->q)', '(q->r)']],
                          Formula.parse('r'))
    for model in all_models(['p', 'q', 'r']):
        if debug:
            print('Testing evaluation of inference rule', rule3, 'in model',
                  model)
        assert evaluate_inference(rule3, frozendict(model)) == \
               (model['p'] and not model['q']) or \
               (model['q'] and not model['r']) or model['r']
コード例 #5
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def prove_from_skeleton_proof(formula: Formula,
                              skeleton_proof: PropositionalProof,
                              substitution_map: Mapping[str, Formula]) -> \
        Proof:
    """Converts the given proof of a propositional skeleton of the given
    predicate-logic formula into a proof of that predicate-logic formula.

    Parameters:
        formula: predicate-logic formula to prove.
        skeleton_proof: valid propositional-logic proof of a propositional
            skeleton of the given formula, from no assumptions and via
            `~propositions.axiomatic_systems.AXIOMATIC_SYSTEM`.
        substitution_map: map from each atomic propositional subformula of the
            skeleton of the given formula that is proven in the given proof to
            the respective predicate-logic subformula of the given formula.

    Returns:
        A valid predicate-logic proof of the given formula from the axioms
        `PROPOSITIONAL_AXIOMATIC_SYSTEM_SCHEMAS` via only assumption lines and
        MP lines.
    """
    assert len(skeleton_proof.statement.assumptions) == 0 and \
           skeleton_proof.rules.issubset(PROPOSITIONAL_AXIOMATIC_SYSTEM) and \
           skeleton_proof.is_valid()
    assert Formula.from_propositional_skeleton(
        skeleton_proof.statement.conclusion, substitution_map) == formula
    # Task 9.11.2
    # create the proof, translate lines, assumption and conclusion

    # creating lines:
    predicate_line_formulas = [
        Formula.from_propositional_skeleton(line.formula, substitution_map)
        for line in skeleton_proof.lines
    ]
    real_predicate_lines = []
    for predicate_formula, skeleton_line in zip(predicate_line_formulas,
                                                skeleton_proof.lines):
        # if line was proven using MP
        if skeleton_line.rule == MP:
            # if the line is MP create a predicate MP line
            real_predicate_lines.append(
                Proof.MPLine(predicate_formula, skeleton_line.assumptions[0],
                             skeleton_line.assumptions[1]))

        else:  # line must be from an axiom
            line_to_specialization_map = PropositionalInferenceRule.formula_specialization_map(
                skeleton_line.rule.conclusion, skeleton_line.formula)
            instantiation_map = axiom_specialization_map_to_schema_instantiation_map(
                line_to_specialization_map, substitution_map)
            real_predicate_lines.append(
                Proof.AssumptionLine(
                    predicate_formula,
                    PROPOSITIONAL_AXIOM_TO_SCHEMA[skeleton_line.rule],
                    instantiation_map))
    # create the final proof
    return Proof(PROPOSITIONAL_AXIOMATIC_SYSTEM_SCHEMAS, formula,
                 real_predicate_lines)
コード例 #6
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def _prove_from_skeleton_proof(formula: Formula,
                               skeleton_proof: PropositionalProof,
                               substitution_map: Mapping[str, Formula]) -> \
        Proof:
    """Converts the given proof of a propositional skeleton of the given
    predicate-logic formula to a proof of that predicate-logic formula.

    Parameters:
        formula: predicate-logic formula to prove.
        skeleton_proof: valid propositional-logic proof of a propositional
            skeleton of the given formula, from no assumptions and via
            `~propositions.axiomatic_systems.AXIOMATIC_SYSTEM`, and containing
            no constants or operators beyond ``'~'``, ``'->'``, ``'|'``, and
            ``'&'``.
        substitution_map: mapping from each atomic propositional subformula of
            the skeleton of the given formula that is proven in the given proof
            to the respective predicate-logic subformula of the given formula.

    Returns:
        A valid predicate-logic proof of the given formula from the axioms
        `PROPOSITIONAL_AXIOMATIC_SYSTEM_SCHEMAS` via only assumption lines and
        MP lines.
    """
    assert len(skeleton_proof.statement.assumptions) == 0 and \
           skeleton_proof.rules.issubset(PROPOSITIONAL_AXIOMATIC_SYSTEM) and \
           skeleton_proof.is_valid()
    assert Formula.from_propositional_skeleton(
        skeleton_proof.statement.conclusion, substitution_map) == formula
    for line in skeleton_proof.lines:
        for operator in line.formula.operators():
            assert is_unary(operator) or is_binary(operator)
    # Task 9.11.2
    lines = []
    for line in skeleton_proof.lines:
        form = Formula.from_propositional_skeleton(line.formula,
                                                   substitution_map)

        if line.rule == MP:
            mp_line = Proof.MPLine(form, line.assumptions[0],
                                   line.assumptions[1])
            lines.append(mp_line)

        else:  # rule is axiom
            rule = PROPOSITIONAL_AXIOM_TO_SCHEMA[line.rule]

            # map of format {'p': ~z33}
            propositional_specialization_map = PropositionalInferenceRule.specialization_map(
                line.rule,
                PropositionalInferenceRule(line.rule.assumptions,
                                           line.formula))

            # map of format {'P': ~Ey[~x=y]}
            scheme_map = _axiom_specialization_map_to_schema_instantiation_map(
                propositional_specialization_map, substitution_map)
            lines.append(Proof.AssumptionLine(form, rule, scheme_map))

    return Proof(PROPOSITIONAL_AXIOMATIC_SYSTEM_SCHEMAS, formula, lines)
コード例 #7
0
def prove_from_skeleton_proof(formula: Formula,
                              skeleton_proof: PropositionalProof,
                              substitution_map: Mapping[str, Formula]) -> \
        Proof:
    """Converts the given proof of a propositional skeleton of the given
    predicate-logic formula into a proof of that predicate-logic formula.

    Parameters:
        formula: predicate-logic formula to prove.
        skeleton_proof: valid propositional-logic proof of a propositional
            skeleton of the given formula, from no assumptions and via
            `~propositions.axiomatic_systems.AXIOMATIC_SYSTEM`.
        substitution_map: map from each atomic propositional subformula of the
            skeleton of the given formula that is proven in the given proof to
            the respective predicate-logic subformula of the given formula.

    Returns:
        A valid predicate-logic proof of the given formula from the axioms
        `PROPOSITIONAL_AXIOMATIC_SYSTEM_SCHEMAS` via only assumption lines and
        MP lines.
    """
    assert len(skeleton_proof.statement.assumptions) == 0 and \
           skeleton_proof.rules.issubset(PROPOSITIONAL_AXIOMATIC_SYSTEM) and \
           skeleton_proof.is_valid()
    assert Formula.from_propositional_skeleton(
        skeleton_proof.statement.conclusion, substitution_map) == formula
    # Task 9.11.2

    assumptions = PROPOSITIONAL_AXIOMATIC_SYSTEM_SCHEMAS
    conclusion = formula
    lines = []

    for skeleton_line in skeleton_proof.lines:
        line_formula = Formula.from_propositional_skeleton(
            skeleton_line.formula, substitution_map)
        if PropositionalProof.Line.is_assumption(skeleton_line):
            assumption_schema = Schema(line_formula, set())
            line = Proof.AssumptionLine(line_formula, assumption_schema,
                                        dict())
        else:
            if skeleton_line.rule == MP:
                ante_line_num, cond_line_num = [
                    skeleton_line.assumptions[i] for i in [0, 1]
                ]
                line = Proof.MPLine(line_formula, ante_line_num, cond_line_num)
            else:
                schema_rule = PROPOSITIONAL_AXIOM_TO_SCHEMA[skeleton_line.rule]
                prop_spec_map = PropositionalInferenceRule.formula_specialization_map(
                    skeleton_line.rule.conclusion, skeleton_line.formula)
                inst_map = axiom_specialization_map_to_schema_instantiation_map(
                    prop_spec_map, substitution_map)
                line = Proof.AssumptionLine(line_formula, schema_rule,
                                            inst_map)
        lines.append(line)

    return Proof(assumptions, conclusion, lines)
コード例 #8
0
def prove_from_skeleton_proof(formula: Formula,
                              skeleton_proof: PropositionalProof,
                              substitution_map: Mapping[str, Formula]) -> \
        Proof:
    """Converts the given proof of a propositional skeleton of the given
    predicate-logic formula into a proof of that predicate-logic formula.

    Parameters:
        formula: predicate-logic formula to prove.
        skeleton_proof: valid propositional-logic proof of a propositional
            skeleton of the given formula, from no assumptions and via
            `~propositions.axiomatic_systems.AXIOMATIC_SYSTEM`.
        substitution_map: map from each atomic propositional subformula of the
            skeleton of the given formula that is proven in the given proof to
            the respective predicate-logic subformula of the given formula.

    Returns:
        A valid predicate-logic proof of the given formula from the axioms
        `PROPOSITIONAL_AXIOMATIC_SYSTEM_SCHEMAS` via only assumption lines and
        MP lines.
    """
    assert len(skeleton_proof.statement.assumptions) == 0 and \
           skeleton_proof.rules.issubset(PROPOSITIONAL_AXIOMATIC_SYSTEM) and \
           skeleton_proof.is_valid()
    assert Formula.from_propositional_skeleton(
        skeleton_proof.statement.conclusion, substitution_map) == formula
    # Task 9.11.2

    lines = list()

    for line in skeleton_proof.lines:
        if len(line.assumptions) == 0:
            new_line = Proof.AssumptionLine(
                Formula.from_propositional_skeleton(line.formula,
                                                    substitution_map),
                PROPOSITIONAL_AXIOM_TO_SCHEMA[line.rule],
                axiom_specialization_map_to_schema_instantiation_map(
                    PropositionalInferenceRule.formula_specialization_map(
                        line.rule.conclusion, line.formula), substitution_map))

        else:
            new_line = Proof.MPLine(
                Formula.from_propositional_skeleton(line.formula,
                                                    substitution_map),
                line.assumptions[0], line.assumptions[1])
        lines.append(new_line)

    return Proof(PROPOSITIONAL_AXIOMATIC_SYSTEM_SCHEMAS, formula, lines)
コード例 #9
0
def prove_from_skeleton_proof(formula: Formula,
                              skeleton_proof: PropositionalProof,
                              substitution_map: Mapping[str, Formula]) -> \
        Proof:
    """Converts the given proof of a propositional skeleton of the given
    predicate-logic formula into a proof of that predicate-logic formula.

    Parameters:
        formula: predicate-logic formula to prove.
        skeleton_proof: valid propositional-logic proof of a propositional
            skeleton of the given formula, from no assumptions and via
            `~propositions.axiomatic_systems.AXIOMATIC_SYSTEM`.
        substitution_map: map from each atomic propositional subformula of the
            skeleton of the given formula that is proven in the given proof to
            the respective predicate-logic subformula of the given formula.

    Returns:
        A valid predicate-logic proof of the given formula from the axioms
        `PROPOSITIONAL_AXIOMATIC_SYSTEM_SCHEMAS` via only assumption lines and
        MP lines.
    """
    assert len(skeleton_proof.statement.assumptions) == 0 and \
           skeleton_proof.rules.issubset(PROPOSITIONAL_AXIOMATIC_SYSTEM) and \
           skeleton_proof.is_valid()
    assert Formula.from_propositional_skeleton(
        skeleton_proof.statement.conclusion, substitution_map) == formula

    # Setup the proof builder
    builder = Proof.ProofBuilder() \
        .with_assumptions(PROPOSITIONAL_AXIOMATIC_SYSTEM_SCHEMAS) \
        .with_conclusion(Formula.from_propositional_skeleton(skeleton_proof.statement.conclusion, substitution_map))

    for line in skeleton_proof.lines:
        # Which rule type do we got
        if line.rule == MP:
            builder.add_mp_line(Formula.from_propositional_skeleton(line.formula, substitution_map),
                                line.assumptions[0], line.assumptions[1])
        else:
            builder.add_claim_line(Formula.from_propositional_skeleton(line.formula, substitution_map),
                                   PROPOSITIONAL_AXIOM_TO_SCHEMA[line.rule],
                                   axiom_specialization_map_to_schema_instantiation_map(
                                       PropositionalInferenceRule.formula_specialization_map(line.rule.conclusion,
                                                                                             line.formula),
                                       substitution_map))

    return builder.build()
コード例 #10
0
def test_is_tautological_inference(debug=False):
    from propositions.proofs import InferenceRule

    for assumptions,conclusion,tautological in [
            [[], '(~p|p)', True],
            [[], '(p|p)', False],
            [[], '(~p|q)', False],
            [['(~p|q)', 'p'], 'q', True],
            [['(p|q)', 'p'], 'q', False],
            [['(p|q)', '(~p|r)'], '(q|r)', True],
            [['(p->q)', '(q->r)'], 'r', False],
            [['(p->q)', '(q->r)'], '(p->r)', True],
            [['(x|y)'], '(y|x)', True],
            [['x'], '(x|y)', True],
            [['(x&y)'], 'x', True],
            [['x'], '(x&y)', False]]:
        rule = InferenceRule(
            [Formula.from_infix(assumption) for assumption in assumptions],
            Formula.from_infix(conclusion))
        if debug:
            print('Testing whether', rule, 'is a tautological inference')
        assert is_tautological_inference(rule) == tautological