コード例 #1
0
def setup_func_for_recursive_call(builder: IRBuilder, fdef: FuncDef,
                                  base: ImplicitClass) -> None:
    """Enable calling a nested function (with a callable class) recursively.

    Adds the instance of the callable class representing the given
    FuncDef to a register in the environment so that the function can
    be called recursively. Note that this needs to be done only for
    nested functions.
    """
    # First, set the attribute of the environment class so that GetAttr can be called on it.
    prev_env = builder.fn_infos[-2].env_class
    prev_env.attributes[fdef.name] = builder.type_to_rtype(fdef.type)

    if isinstance(base, GeneratorClass):
        # If we are dealing with a generator class, then we need to first get the register
        # holding the current environment class, and load the previous environment class from
        # there.
        prev_env_reg = builder.add(
            GetAttr(base.curr_env_reg, ENV_ATTR_NAME, -1))
    else:
        prev_env_reg = base.prev_env_reg

    # Obtain the instance of the callable class representing the FuncDef, and add it to the
    # current environment.
    val = builder.add(GetAttr(prev_env_reg, fdef.name, -1))
    target = builder.add_local_reg(fdef, object_rprimitive)
    builder.assign(target, val, -1)
コード例 #2
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def gen_glue_method(builder: IRBuilder, sig: FuncSignature, target: FuncIR,
                    cls: ClassIR, base: ClassIR, line: int,
                    do_pycall: bool,
                    ) -> FuncIR:
    """Generate glue methods that mediate between different method types in subclasses.

    For example, if we have:

    class A:
        def f(builder: IRBuilder, x: int) -> object: ...

    then it is totally permissible to have a subclass

    class B(A):
        def f(builder: IRBuilder, x: object) -> int: ...

    since '(object) -> int' is a subtype of '(int) -> object' by the usual
    contra/co-variant function subtyping rules.

    The trickiness here is that int and object have different
    runtime representations in mypyc, so A.f and B.f have
    different signatures at the native C level. To deal with this,
    we need to generate glue methods that mediate between the
    different versions by coercing the arguments and return
    values.

    If do_pycall is True, then make the call using the C API
    instead of a native call.
    """
    builder.enter()
    builder.ret_types[-1] = sig.ret_type

    rt_args = list(sig.args)
    if target.decl.kind == FUNC_NORMAL:
        rt_args[0] = RuntimeArg(sig.args[0].name, RInstance(cls))

    # The environment operates on Vars, so we make some up
    fake_vars = [(Var(arg.name), arg.type) for arg in rt_args]
    args = [builder.read(builder.add_local_reg(var, type, is_arg=True), line)
            for var, type in fake_vars]
    arg_names = [arg.name if arg.kind in (ARG_NAMED, ARG_NAMED_OPT) else None
                 for arg in rt_args]
    arg_kinds = [concrete_arg_kind(arg.kind) for arg in rt_args]

    if do_pycall:
        retval = builder.builder.py_method_call(
            args[0], target.name, args[1:], line, arg_kinds[1:], arg_names[1:])
    else:
        retval = builder.builder.call(target.decl, args, arg_kinds, arg_names, line)
    retval = builder.coerce(retval, sig.ret_type, line)
    builder.add(Return(retval))

    arg_regs, _, blocks, ret_type, _ = builder.leave()
    return FuncIR(
        FuncDecl(target.name + '__' + base.name + '_glue',
                 cls.name, builder.module_name,
                 FuncSignature(rt_args, ret_type),
                 target.decl.kind),
        arg_regs, blocks)
コード例 #3
0
def add_args_to_env(builder: IRBuilder,
                    local: bool = True,
                    base: Optional[Union[FuncInfo, ImplicitClass]] = None,
                    reassign: bool = True) -> None:
    fn_info = builder.fn_info
    if local:
        for arg in fn_info.fitem.arguments:
            rtype = builder.type_to_rtype(arg.variable.type)
            builder.add_local_reg(arg.variable, rtype, is_arg=True)
    else:
        for arg in fn_info.fitem.arguments:
            if is_free_variable(builder, arg.variable) or fn_info.is_generator:
                rtype = builder.type_to_rtype(arg.variable.type)
                assert base is not None, 'base cannot be None for adding nonlocal args'
                builder.add_var_to_env_class(arg.variable,
                                             rtype,
                                             base,
                                             reassign=reassign)
コード例 #4
0
ファイル: function.py プロジェクト: alanhdu/mypy
def get_args(builder: IRBuilder, rt_args: Sequence[RuntimeArg], line: int) -> ArgInfo:
    # The environment operates on Vars, so we make some up
    fake_vars = [(Var(arg.name), arg.type) for arg in rt_args]
    args = [builder.read(builder.add_local_reg(var, type, is_arg=True), line)
            for var, type in fake_vars]
    arg_names = [arg.name
                 if arg.kind.is_named() or (arg.kind.is_optional() and not arg.pos_only) else None
                 for arg in rt_args]
    arg_kinds = [arg.kind for arg in rt_args]
    return ArgInfo(args, arg_names, arg_kinds)
コード例 #5
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def get_func_target(builder: IRBuilder, fdef: FuncDef) -> AssignmentTarget:
    """Given a FuncDef, return the target for the instance of its callable class.

    If the function was not already defined somewhere, then define it
    and add it to the current environment.
    """
    if fdef.original_def:
        # Get the target associated with the previously defined FuncDef.
        return builder.lookup(fdef.original_def)

    if builder.fn_info.is_generator or builder.fn_info.contains_nested:
        return builder.lookup(fdef)

    return builder.add_local_reg(fdef, object_rprimitive)