示例#1
0
    def transform_variadic_type_expansion(self, expr: ir.VariadicTypeExpansion):
        variadic_vars_to_expand = compute_non_expanded_variadic_vars(expr.expr).keys()
        previous_variadic_vars_with_expansion_in_progress = self.variadic_vars_with_expansion_in_progress
        self.variadic_vars_with_expansion_in_progress = previous_variadic_vars_with_expansion_in_progress.union(variadic_vars_to_expand)

        values_by_variadic_var_to_expand = {var: self.replacement_expr_by_var[var]
                                            for var in variadic_vars_to_expand
                                            if var in self.replacement_expr_by_var}
        values_by_expanded_variadic_var_to_expand = {var: self.replacement_expr_by_expanded_var[var]
                                                     for var in variadic_vars_to_expand
                                                     if var in self.replacement_expr_by_expanded_var}

        transformed_exprs = []
        if values_by_variadic_var_to_expand or values_by_expanded_variadic_var_to_expand:
            self._check_variadic_var_replacement(values_by_variadic_var_to_expand, values_by_expanded_variadic_var_to_expand)

            (num_values_to_expand,) = {(len(values) if isinstance(values, list) else 1)
                                       for values in itertools.chain(values_by_variadic_var_to_expand.values(), values_by_expanded_variadic_var_to_expand.values())}

            for i in range(0, num_values_to_expand):
                child_replacement_expr_by_var = self.replacement_expr_by_var.copy()
                child_replacement_expr_by_expanded_var = self.replacement_expr_by_expanded_var.copy()
                for var, values in values_by_variadic_var_to_expand.items():
                    if not isinstance(values, list):
                        values = [values]
                    child_replacement_expr_by_var[var] = values[i]
                for var, values in values_by_expanded_variadic_var_to_expand.items():
                    if not isinstance(values, list):
                        values = [values]
                    child_replacement_expr_by_expanded_var[var] = values[i]
                child_transformation = _ReplaceVarWithExprTransformation(child_replacement_expr_by_var, child_replacement_expr_by_expanded_var, self.variadic_vars_with_expansion_in_progress)
                transformed_expr = child_transformation.transform_expr(expr.expr)
                for expr1 in (transformed_expr if isinstance(transformed_expr, list) else [transformed_expr]):
                    transformed_exprs.append(expr1)

            if len(transformed_exprs) == 1:
                if compute_non_expanded_variadic_vars(transformed_exprs[0]):
                    transformed_exprs = [ir.VariadicTypeExpansion(transformed_exprs[0])]
            else:
                if any(compute_non_expanded_variadic_vars(expr) for expr in transformed_exprs):
                    raise VariadicVarReplacementNotPossibleException('Found non-expanded variadic vars after expanding one to multiple elements')
        else:
            transformed_expr = self.transform_expr(expr.expr)
            if isinstance(transformed_expr, list):
                [transformed_expr] = transformed_expr

            assert not isinstance(transformed_expr, list)
            transformed_exprs.append(ir.VariadicTypeExpansion(transformed_expr))

        self.variadic_vars_with_expansion_in_progress = previous_variadic_vars_with_expansion_in_progress

        return transformed_exprs
示例#2
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文件: _unify.py 项目: google/tmppy
def _pack_if_variable(var_or_expr: Union[str, ir.Expr, TupleExpansion[ir.Expr]],
                      literal_expr_by_unique_name: Mapping[str, ir.AtomicTypeLiteral]) -> Union[ir.Expr, Tuple[ir.Expr, ...]]:
    assert not isinstance(var_or_expr, tuple)
    if isinstance(var_or_expr, str):
        return literal_expr_by_unique_name[var_or_expr]
    elif isinstance(var_or_expr, TupleExpansion):
        return ir.VariadicTypeExpansion(_pack_if_variable(var_or_expr.expr, literal_expr_by_unique_name))
    else:
        return var_or_expr
示例#3
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 def transform_variadic_type_expansion(self,
                                       expr: ir.VariadicTypeExpansion):
     expr = self.transform_expr(expr.expr)
     if is_expr_variadic(expr):
         return ir.VariadicTypeExpansion(expr)
     else:
         # This is not just an optimization, it's an error to have a VariadicTypeExpansion() that doesn't contain
         # any variadic var refs.
         return expr
示例#4
0
文件: _unify.py 项目: google/tmppy
def find_matches_in_unification_of_template_instantiation_with_definition(template_instantiation: ir.TemplateInstantiation,
                                                                          local_var_definitions: Mapping[str, ir.Expr],
                                                                          template_defn: ir.TemplateDefn,
                                                                          identifier_generator: Iterator[str],
                                                                          verbose: bool) -> Tuple[Tuple[Tuple[ir.TemplateSpecialization,
                                                                                                              Tuple[Tuple[ir.AtomicTypeLiteral, Tuple[ir.Expr, ...]], ...],
                                                                                                              Tuple[Tuple[ir.AtomicTypeLiteral, Tuple[ir.Expr, ...]], ...]], ...],
                                                                                                  Tuple[ir.TemplateSpecialization, ...]]:
    instantiation_vars = {var.cpp_type
                          for var in template_instantiation.free_vars}

    certain_matches: List[Tuple[ir.TemplateSpecialization,
                                Tuple[Tuple[ir.AtomicTypeLiteral,
                                            Tuple[ir.Expr, ...]], ...], ...]] = []
    possible_matches: List[ir.TemplateSpecialization] = []
    for specialization in template_defn.specializations:
        result = _unify(template_instantiation.args,
                        local_var_definitions,
                        specialization.patterns,
                        instantiation_vars,
                        {arg.name
                        for arg in specialization.args},
                        identifier_generator,
                        verbose)
        if result.kind == UnificationResultKind.CERTAIN:
            certain_matches.append((specialization, result.value_by_pattern_variable, result.value_by_expanded_pattern_variable))
        elif result.kind == UnificationResultKind.POSSIBLE:
            possible_matches.append(specialization)

    if template_defn.main_definition and template_defn.main_definition.body:
        patterns = tuple(ir.VariadicTypeExpansion(ir.AtomicTypeLiteral.for_local(var.name,
                                                                                 var.expr_type,
                                                                                 is_variadic=var.is_variadic))
                         if var.is_variadic
                         else ir.AtomicTypeLiteral.for_local(var.name, var.expr_type, is_variadic=var.is_variadic)
                         for var in template_defn.main_definition.args)
        result = _unify(template_instantiation.args,
                        local_var_definitions,
                        patterns,
                        instantiation_vars,
                        {var.name
                        for var in template_defn.main_definition.args},
                        identifier_generator,
                        verbose)
        assert result.kind != UnificationResultKind.IMPOSSIBLE
        if result.kind == UnificationResultKind.CERTAIN:
            certain_matches.append((template_defn.main_definition,
                                    result.value_by_pattern_variable,
                                    result.value_by_expanded_pattern_variable))
        else:
            possible_matches.append(template_defn.main_definition)

    if not certain_matches:
        return (), tuple(possible_matches)

    might_be_best_match = [True for _ in certain_matches]
    for i, (specialization1, _, _) in enumerate(certain_matches):
        specialization1_arg_vars = {var.name for var in specialization1.args}
        for j, (specialization2, _, _) in enumerate(certain_matches):
            if i != j and might_be_best_match[i] and might_be_best_match[j]:
                specialization2_arg_vars = {var.name for var in specialization2.args}

                # Let's see if we can prove that certain_matches[i] is more strict than certain_matches[j]
                if not specialization1.patterns:
                    might_be_best_match[i] = False
                    continue
                if not specialization2.patterns:
                    might_be_best_match[j] = False
                    continue
                result = _unify(specialization1.patterns,
                                dict(),
                                specialization2.patterns,
                                specialization1_arg_vars,
                                specialization2_arg_vars,
                                identifier_generator,
                                verbose)
                if result.kind == UnificationResultKind.CERTAIN:
                    might_be_best_match[j] = False

    indexes = tuple(index
                    for index, might_be_best in enumerate(might_be_best_match)
                    if might_be_best)
    assert indexes

    return tuple(certain_matches[i]
            for i in indexes), tuple(possible_matches)