import sys
from contextlib import contextmanager
from importlib import import_module
from typing import (
    Annotated,
    AnyStr,
    NamedTuple,
    Literal,
    NewType,
    Optional,
    Protocol,
    TypeGuard,
    Union,
    TypedDict,
    TypeVar,
    List,
    Callable,
    Any,
    Dict,
)
from functools import partial
from IPython.core.guarded_eval import (
    EvaluationContext,
    GuardRejection,
    guarded_eval,
    _unbind_method,
)
from IPython.testing import decorators as dec
import pytest
from IPython.core.guarded_eval import _is_type_annotation


from typing import Self, LiteralString

if sys.version_info < (3, 12):
    from typing_extensions import TypeAliasType
else:
    from typing import TypeAliasType


def create_context(evaluation: str, **kwargs):
    return EvaluationContext(locals=kwargs, globals={}, evaluation=evaluation)


forbidden = partial(create_context, "forbidden")
minimal = partial(create_context, "minimal")
limited = partial(create_context, "limited")
unsafe = partial(create_context, "unsafe")
dangerous = partial(create_context, "dangerous")

LIMITED_OR_HIGHER = [limited, unsafe, dangerous]
MINIMAL_OR_HIGHER = [minimal, *LIMITED_OR_HIGHER]


@contextmanager
def module_not_installed(module: str):
    import sys

    try:
        to_restore = sys.modules[module]
        del sys.modules[module]
    except KeyError:
        to_restore = None
    try:
        yield
    finally:
        sys.modules[module] = to_restore


def test_external_not_installed():
    """
    Because attribute check requires checking if object is not of allowed
    external type, this tests logic for absence of external module.
    """

    class Custom:
        def __init__(self):
            self.test = 1

        def __getattr__(self, key):
            return key

    with module_not_installed("pandas"):
        context = limited(x=Custom())
        with pytest.raises(GuardRejection):
            guarded_eval("x.test", context)


@dec.skip_without("pandas")
def test_external_changed_api(monkeypatch):
    """Check that the execution rejects if external API changed paths"""
    import pandas as pd

    series = pd.Series([1], index=["a"])

    with monkeypatch.context() as m:
        m.delattr(pd, "Series")
        context = limited(data=series)
        with pytest.raises(GuardRejection):
            guarded_eval("data.iloc[0]", context)


@dec.skip_without("pandas")
def test_pandas_series_iloc():
    import pandas as pd

    series = pd.Series([1], index=["a"])
    context = limited(data=series)
    assert guarded_eval("data.iloc[0]", context) == 1


def test_rejects_custom_properties():
    class BadProperty:
        @property
        def iloc(self):
            return [None]

    series = BadProperty()
    context = limited(data=series)

    with pytest.raises(GuardRejection):
        guarded_eval("data.iloc[0]", context)


@dec.skip_without("pandas")
def test_accepts_non_overriden_properties():
    import pandas as pd

    class GoodProperty(pd.Series):
        pass

    series = GoodProperty([1], index=["a"])
    context = limited(data=series)

    assert guarded_eval("data.iloc[0]", context) == 1


@dec.skip_without("pandas")
def test_pandas_series():
    import pandas as pd

    context = limited(data=pd.Series([1], index=["a"]))
    assert guarded_eval('data["a"]', context) == 1
    with pytest.raises(KeyError):
        guarded_eval('data["c"]', context)


@dec.skip_without("pandas")
def test_pandas_bad_series():
    import pandas as pd

    class BadItemSeries(pd.Series):
        def __getitem__(self, key):
            return "CUSTOM_ITEM"

    class BadAttrSeries(pd.Series):
        def __getattr__(self, key):
            return "CUSTOM_ATTR"

    bad_series = BadItemSeries([1], index=["a"])
    context = limited(data=bad_series)

    with pytest.raises(GuardRejection):
        guarded_eval('data["a"]', context)
    with pytest.raises(GuardRejection):
        guarded_eval('data["c"]', context)

    # note: here result is a bit unexpected because
    # pandas `__getattr__` calls `__getitem__`;
    # FIXME - special case to handle it?
    assert guarded_eval("data.a", context) == "CUSTOM_ITEM"

    context = unsafe(data=bad_series)
    assert guarded_eval('data["a"]', context) == "CUSTOM_ITEM"

    bad_attr_series = BadAttrSeries([1], index=["a"])
    context = limited(data=bad_attr_series)
    assert guarded_eval('data["a"]', context) == 1
    with pytest.raises(GuardRejection):
        guarded_eval("data.a", context)


@dec.skip_without("pandas")
def test_pandas_dataframe_loc():
    import pandas as pd
    from pandas.testing import assert_series_equal

    data = pd.DataFrame([{"a": 1}])
    context = limited(data=data)
    assert_series_equal(guarded_eval('data.loc[:, "a"]', context), data["a"])


def test_named_tuple():
    class GoodNamedTuple(NamedTuple):
        a: str
        pass

    class BadNamedTuple(NamedTuple):
        a: str

        def __getitem__(self, key):
            return None

    good = GoodNamedTuple(a="x")
    bad = BadNamedTuple(a="x")

    context = limited(data=good)
    assert guarded_eval("data[0]", context) == "x"

    context = limited(data=bad)
    with pytest.raises(GuardRejection):
        guarded_eval("data[0]", context)


def test_dict():
    context = limited(data={"a": 1, "b": {"x": 2}, ("x", "y"): 3})
    assert guarded_eval('data["a"]', context) == 1
    assert guarded_eval('data["b"]', context) == {"x": 2}
    assert guarded_eval('data["b"]["x"]', context) == 2
    assert guarded_eval('data["x", "y"]', context) == 3

    assert guarded_eval("data.keys", context)


def test_set():
    context = limited(data={"a", "b"})
    assert guarded_eval("data.difference", context)


def test_list():
    context = limited(data=[1, 2, 3])
    assert guarded_eval("data[1]", context) == 2
    assert guarded_eval("data.copy", context)


def test_dict_literal():
    context = limited()
    assert guarded_eval("{}", context) == {}
    assert guarded_eval('{"a": 1}', context) == {"a": 1}


def test_list_literal():
    context = limited()
    assert guarded_eval("[]", context) == []
    assert guarded_eval('[1, "a"]', context) == [1, "a"]


def test_set_literal():
    context = limited()
    assert guarded_eval("set()", context) == set()
    assert guarded_eval('{"a"}', context) == {"a"}


def test_evaluates_if_expression():
    context = limited()
    assert guarded_eval("2 if True else 3", context) == 2
    assert guarded_eval("4 if False else 5", context) == 5


def test_object():
    obj = object()
    context = limited(obj=obj)
    assert guarded_eval("obj.__dir__", context) == obj.__dir__


@pytest.mark.parametrize(
    "code,expected",
    [
        ["int.numerator", int.numerator],
        ["float.is_integer", float.is_integer],
        ["complex.real", complex.real],
    ],
)
def test_number_attributes(code, expected):
    assert guarded_eval(code, limited()) == expected


def test_method_descriptor():
    context = limited()
    assert guarded_eval("list.copy.__name__", context) == "copy"


class HeapType:
    pass


class CallCreatesHeapType:
    def __call__(self) -> HeapType:
        return HeapType()


class CallCreatesBuiltin:
    def __call__(self) -> frozenset:
        return frozenset()


class HasStaticMethod:
    @staticmethod
    def static_method() -> HeapType:
        return HeapType()


class InitReturnsFrozenset:
    def __new__(self) -> frozenset:  # type:ignore[misc]
        return frozenset()


class StringAnnotation:
    def heap(self) -> "HeapType":
        return HeapType()

    def copy(self) -> "StringAnnotation":
        return StringAnnotation()


CustomIntType = NewType("CustomIntType", int)
CustomHeapType = NewType("CustomHeapType", HeapType)
IntTypeAlias = TypeAliasType("IntTypeAlias", int)
HeapTypeAlias = TypeAliasType("HeapTypeAlias", HeapType)


class ProtocolTest(Protocol):
    def test_method(self) -> bool:
        pass


class ProtocolTestImplementer(ProtocolTest):
    def test_method(self) -> bool:
        return True


class TypedClass:
    def test_method(self) -> bool:
        return True


class Movie(TypedDict):
    name: str
    year: int


class SpecialTyping:
    def custom_int_type(self) -> CustomIntType:
        return CustomIntType(1)

    def custom_heap_type(self) -> CustomHeapType:
        return CustomHeapType(HeapType())

    def int_type_alias(self) -> IntTypeAlias:
        return 1

    def heap_type_alias(self) -> HeapTypeAlias:
        return 1

    def literal(self) -> Literal[False]:
        return False

    def literal_string(self) -> LiteralString:
        return "test"

    def self(self) -> Self:
        return self

    def any_str(self, x: AnyStr) -> AnyStr:
        return x

    def with_kwargs(self, a=1, b=2, c=3) -> int:
        return a + b + c

    def annotated(self) -> Annotated[float, "positive number"]:
        return 1

    def annotated_self(self) -> Annotated[Self, "self with metadata"]:
        self._metadata = "test"
        return self

    def int_type_guard(self, x) -> TypeGuard[int]:
        return isinstance(x, int)

    def optional_float(self) -> Optional[float]:
        return 1.0

    def union_str_and_int(self) -> Union[str, int]:
        return ""

    def protocol(self) -> ProtocolTest:
        return ProtocolTestImplementer()

    def typed_dict(self) -> Movie:
        return {"name": "The Matrix", "year": 1999}


@pytest.mark.parametrize(
    "data,code,expected,equality",
    [
        [[1, 2, 3], "data.index(2)", 1, True],
        [{"a": 1}, "data.keys().isdisjoint({})", True, True],
        [StringAnnotation(), "data.heap()", HeapType, False],
        [StringAnnotation(), "data.copy()", StringAnnotation, False],
        # test cases for `__call__`
        [CallCreatesHeapType(), "data()", HeapType, False],
        [CallCreatesBuiltin(), "data()", frozenset, False],
        # Test cases for `__init__`
        [HeapType, "data()", HeapType, False],
        [InitReturnsFrozenset, "data()", frozenset, False],
        [HeapType(), "data.__class__()", HeapType, False],
        # supported special cases for typing
        [SpecialTyping(), "data.custom_int_type()", int, False],
        [SpecialTyping(), "data.custom_heap_type()", HeapType, False],
        [SpecialTyping(), "data.int_type_alias()", int, False],
        [SpecialTyping(), "data.heap_type_alias()", HeapType, False],
        [SpecialTyping(), "data.self()", SpecialTyping, False],
        [SpecialTyping(), "data.literal()", False, True],
        [SpecialTyping(), "data.literal_string()", str, False],
        [SpecialTyping(), "data.any_str('a')", str, False],
        [SpecialTyping(), "data.any_str(b'a')", bytes, False],
        [SpecialTyping(), "data.with_kwargs(b=3)", int, False],
        [SpecialTyping(), "data.annotated()", float, False],
        [SpecialTyping(), "data.annotated_self()", SpecialTyping, False],
        [SpecialTyping(), "data.int_type_guard()", int, False],
        # test cases for static methods
        [HasStaticMethod, "data.static_method()", HeapType, False],
    ],
)
def test_evaluates_calls(data, code, expected, equality):
    context = limited(data=data, HeapType=HeapType, StringAnnotation=StringAnnotation)
    value = guarded_eval(code, context)
    if equality:
        assert value == expected
    else:
        assert isinstance(value, expected)


@pytest.mark.parametrize(
    "data,code,expected_attributes",
    [
        [SpecialTyping(), "data.optional_float()", ["is_integer"]],
        [
            SpecialTyping(),
            "data.union_str_and_int()",
            ["capitalize", "as_integer_ratio"],
        ],
        [SpecialTyping(), "data.protocol()", ["test_method"]],
        [SpecialTyping(), "data.typed_dict()", ["keys", "values", "items"]],
    ],
)
def test_mocks_attributes_of_call_results(data, code, expected_attributes):
    context = limited(data=data, HeapType=HeapType, StringAnnotation=StringAnnotation)
    result = guarded_eval(code, context)
    for attr in expected_attributes:
        assert hasattr(result, attr)
        assert attr in dir(result)


@pytest.mark.parametrize(
    "data,code,expected_items",
    [
        [SpecialTyping(), "data.typed_dict()", {"year": int, "name": str}],
    ],
)
def test_mocks_items_of_call_results(data, code, expected_items):
    context = limited(data=data, HeapType=HeapType, StringAnnotation=StringAnnotation)
    result = guarded_eval(code, context)
    ipython_keys = result._ipython_key_completions_()
    for key, value in expected_items.items():
        assert isinstance(result[key], value)
        assert key in ipython_keys


@pytest.mark.parametrize(
    "code,expected",
    [
        ["\n".join(["instance = TypedClass()", "instance.test_method()"]), bool],
        ["\n".join(["def func() -> int:", "    pass", "func()"]), int],
        [
            "\n".join(
                [
                    "class NotYetDefined:",
                    "    def method(self) -> str:",
                    "        pass",
                    "instance = NotYetDefined()",
                    "instance.method()",
                ]
            ),
            str,
        ],
        [
            "\n".join(
                [
                    "class NotYetDefined:",
                    "    def method(self, argument) -> int:",
                    "        pass",
                    "instance = NotYetDefined()",
                    "instance.method()",
                ]
            ),
            int,
        ],
        [
            "\n".join(
                [
                    "class NotYetDefined:",
                    "    @property",
                    "    def my_prop(self) -> int:",
                    "        pass",
                    "instance = NotYetDefined()",
                    "instance.my_prop",
                ]
            ),
            int,
        ],
        [
            "\n".join(
                [
                    "class NotYetDefined:",
                    "    @unkown_decorator",
                    "    @property",
                    "    def my_prop(self) -> int:",
                    "        pass",
                    "instance = NotYetDefined()",
                    "instance.my_prop",
                ]
            ),
            int,
        ],
        [
            "\n".join(
                [
                    "class NotYetDefined:",
                    "    attribute = 42",
                    "instance = NotYetDefined()",
                    "instance.attribute",
                ]
            ),
            int,
        ],
        [
            "\n".join(
                [
                    "class NotYetDefined:",
                    "    def any_str(self, argument: AnyStr) -> AnyStr:",
                    "        pass",
                    "instance = NotYetDefined()",
                    "instance.any_str(b'test')",
                ]
            ),
            bytes,
        ],
        [
            "\n".join(
                [
                    "class NotYetDefined:",
                    "    def any_str(self, argument: AnyStr) -> AnyStr:",
                    "        pass",
                    "instance = NotYetDefined()",
                    "instance.any_str('test')",
                ]
            ),
            str,
        ],
        [
            "\n".join(
                [
                    "async def async_func():",
                    "    return []",
                    "(await async_func())",
                ]
            ),
            list,
        ],
        [
            "\n".join(
                [
                    "make_list = lambda:[]",
                    "make_list()",
                ]
            ),
            list,
        ],
    ],
)
def test_mock_class_and_func_instances(code, expected):
    context = limited(TypedClass=TypedClass, AnyStr=AnyStr)
    value = guarded_eval(code, context)
    assert isinstance(value, expected)


@pytest.mark.parametrize(
    "annotation,expected",
    [
        # Basic types
        (int, True),
        (str, True),
        (list, True),
        # Typing generics
        (list[str], True),
        (dict[str, int], True),
        (Optional[int], True),
        (Union[int, str], True),
        # Special forms
        (AnyStr, True),
        (TypeVar("T"), True),
        (Callable[[int], str], True),
        (Literal["GET", "POST"], True),
        (Any, True),
        (str | int, True),
        # Nested
        (List[Dict[str, int]], True),
        # Non-annotations
        (42, False),
        ("string", False),
        ([1, 2, 3], False),
        (None, False),
    ],
)
def test_is_type_annotation(annotation, expected):
    assert _is_type_annotation(annotation) == expected


@pytest.mark.parametrize(
    "code,expected",
    [
        ["\n".join(["a = True", "a"]), bool],
        ["\n".join(["a, b, c = 1, 'b', 3.0", "a"]), int],
        ["\n".join(["a, b, c = 1, 'b', 3.0", "b"]), str],
        ["\n".join(["a, b, c = 1, 'b', 3.0", "c"]), float],
        ["\n".join(["a, *rest = 1, 'b', 3.0", "a"]), int],
        ["\n".join(["a, *rest = 1, 'b', 3.0", "rest"]), list],
    ],
)
def test_evaluates_assignments(code, expected):
    context = limited()
    value = guarded_eval(code, context)
    assert isinstance(value, expected)


def equals(a, b):
    return a == b


def quacks_like(test_duck, reference_duck):
    return set(dir(reference_duck)) - set(dir(test_duck)) == set()


@pytest.mark.parametrize(
    "code,expected,check",
    [
        ["\n".join(["a: Literal[True]", "a"]), True, equals],
        ["\n".join(["a: bool", "a"]), bool, isinstance],
        ["\n".join(["a: str", "a"]), str, isinstance],
        # for lists we need quacking as we do not know:
        # - how many elements in the list
        # - which element is of which type
        ["\n".join(["a: list[str]", "a"]), list, quacks_like],
        ["\n".join(["a: list[str]", "a[0]"]), str, quacks_like],
        ["\n".join(["a: list[str]", "a[999]"]), str, quacks_like],
        # set
        ["\n".join(["a: set[str]", "a"]), set, quacks_like],
        # for tuples we do know which element is which
        ["\n".join(["a: tuple[str, int]", "a"]), tuple, isinstance],
        ["\n".join(["a: tuple[str, int]", "a[0]"]), str, isinstance],
        ["\n".join(["a: tuple[str, int]", "a[1]"]), int, isinstance],
    ],
)
def test_evaluates_type_assignments(code, expected, check):
    context = limited(Literal=Literal)
    value = guarded_eval(code, context)
    assert check(value, expected)


@pytest.mark.parametrize(
    "data,bad",
    [
        [[1, 2, 3], "data.append(4)"],
        [{"a": 1}, "data.update()"],
    ],
)
def test_rejects_calls_with_side_effects(data, bad):
    context = limited(data=data)

    with pytest.raises(GuardRejection):
        guarded_eval(bad, context)


@pytest.mark.parametrize(
    "code,expected",
    [
        ["(1\n+\n1)", 2],
        ["list(range(10))[-1:]", [9]],
        ["list(range(20))[3:-2:3]", [3, 6, 9, 12, 15]],
    ],
)
@pytest.mark.parametrize("context", LIMITED_OR_HIGHER)
def test_evaluates_complex_cases(code, expected, context):
    assert guarded_eval(code, context()) == expected


@pytest.mark.parametrize(
    "code,expected",
    [
        ["1", 1],
        ["1.0", 1.0],
        ["0xdeedbeef", 0xDEEDBEEF],
        ["True", True],
        ["None", None],
        ["{}", {}],
        ["[]", []],
    ],
)
@pytest.mark.parametrize("context", MINIMAL_OR_HIGHER)
def test_evaluates_literals(code, expected, context):
    assert guarded_eval(code, context()) == expected


@pytest.mark.parametrize(
    "code,expected",
    [
        ["-5", -5],
        ["+5", +5],
        ["~5", -6],
    ],
)
@pytest.mark.parametrize("context", LIMITED_OR_HIGHER)
def test_evaluates_unary_operations(code, expected, context):
    assert guarded_eval(code, context()) == expected


@pytest.mark.parametrize(
    "code,expected",
    [
        ["1 + 1", 2],
        ["3 - 1", 2],
        ["2 * 3", 6],
        ["5 // 2", 2],
        ["5 / 2", 2.5],
        ["5**2", 25],
        ["2 >> 1", 1],
        ["2 << 1", 4],
        ["1 | 2", 3],
        ["1 & 1", 1],
        ["1 & 2", 0],
    ],
)
@pytest.mark.parametrize("context", LIMITED_OR_HIGHER)
def test_evaluates_binary_operations(code, expected, context):
    assert guarded_eval(code, context()) == expected


@pytest.mark.parametrize(
    "code,expected",
    [
        ["2 > 1", True],
        ["2 < 1", False],
        ["2 <= 1", False],
        ["2 <= 2", True],
        ["1 >= 2", False],
        ["2 >= 2", True],
        ["2 == 2", True],
        ["1 == 2", False],
        ["1 != 2", True],
        ["1 != 1", False],
        ["1 < 4 < 3", False],
        ["(1 < 4) < 3", True],
        ["4 > 3 > 2 > 1", True],
        ["4 > 3 > 2 > 9", False],
        ["1 < 2 < 3 < 4", True],
        ["9 < 2 < 3 < 4", False],
        ["1 < 2 > 1 > 0 > -1 < 1", True],
        ["1 in [1] in [[1]]", True],
        ["1 in [1] in [[2]]", False],
        ["1 in [1]", True],
        ["0 in [1]", False],
        ["1 not in [1]", False],
        ["0 not in [1]", True],
        ["True is True", True],
        ["False is False", True],
        ["True is False", False],
        ["True is not True", False],
        ["False is not True", True],
    ],
)
@pytest.mark.parametrize("context", LIMITED_OR_HIGHER)
def test_evaluates_comparisons(code, expected, context):
    assert guarded_eval(code, context()) == expected


def test_guards_comparisons():
    class GoodEq(int):
        pass

    class BadEq(int):
        def __eq__(self, other):
            assert False

    context = limited(bad=BadEq(1), good=GoodEq(1))

    with pytest.raises(GuardRejection):
        guarded_eval("bad == 1", context)

    with pytest.raises(GuardRejection):
        guarded_eval("bad != 1", context)

    with pytest.raises(GuardRejection):
        guarded_eval("1 == bad", context)

    with pytest.raises(GuardRejection):
        guarded_eval("1 != bad", context)

    assert guarded_eval("good == 1", context) is True
    assert guarded_eval("good != 1", context) is False
    assert guarded_eval("1 == good", context) is True
    assert guarded_eval("1 != good", context) is False


def test_guards_unary_operations():
    class GoodOp(int):
        pass

    class BadOpInv(int):
        def __inv__(self, other):
            assert False

    class BadOpInverse(int):
        def __inv__(self, other):
            assert False

    context = limited(good=GoodOp(1), bad1=BadOpInv(1), bad2=BadOpInverse(1))

    with pytest.raises(GuardRejection):
        guarded_eval("~bad1", context)

    with pytest.raises(GuardRejection):
        guarded_eval("~bad2", context)


def test_guards_binary_operations():
    class GoodOp(int):
        pass

    class BadOp(int):
        def __add__(self, other):
            assert False

    context = limited(good=GoodOp(1), bad=BadOp(1))

    with pytest.raises(GuardRejection):
        guarded_eval("1 + bad", context)

    with pytest.raises(GuardRejection):
        guarded_eval("bad + 1", context)

    assert guarded_eval("good + 1", context) == 2
    assert guarded_eval("1 + good", context) == 2


def test_guards_attributes():
    class GoodAttr(float):
        pass

    class BadAttr1(float):
        def __getattr__(self, key):
            assert False

    class BadAttr2(float):
        def __getattribute__(self, key):
            assert False

    context = limited(good=GoodAttr(0.5), bad1=BadAttr1(0.5), bad2=BadAttr2(0.5))

    with pytest.raises(GuardRejection):
        guarded_eval("bad1.as_integer_ratio", context)

    with pytest.raises(GuardRejection):
        guarded_eval("bad2.as_integer_ratio", context)

    assert guarded_eval("good.as_integer_ratio()", context) == (1, 2)


@pytest.mark.parametrize("context", MINIMAL_OR_HIGHER)
def test_access_builtins(context):
    assert guarded_eval("round", context()) == round


def test_access_builtins_fails():
    context = limited()
    with pytest.raises(NameError):
        guarded_eval("this_is_not_builtin", context)


def test_rejects_forbidden():
    context = forbidden()
    with pytest.raises(GuardRejection):
        guarded_eval("1", context)


def test_guards_locals_and_globals():
    context = EvaluationContext(
        locals={"local_a": "a"}, globals={"global_b": "b"}, evaluation="minimal"
    )

    with pytest.raises(GuardRejection):
        guarded_eval("local_a", context)

    with pytest.raises(GuardRejection):
        guarded_eval("global_b", context)


def test_access_locals_and_globals():
    context = EvaluationContext(
        locals={"local_a": "a"}, globals={"global_b": "b"}, evaluation="limited"
    )
    assert guarded_eval("local_a", context) == "a"
    assert guarded_eval("global_b", context) == "b"


@pytest.mark.parametrize(
    "code",
    ["x += 1", "del x"],
)
@pytest.mark.parametrize("context", [minimal(x=1), limited(x=1), unsafe(x=1)])
def test_does_not_modify_namespace(code, context):
    guarded_eval(code, context)
    assert context.locals["x"] == 1


@pytest.mark.parametrize(
    "code",
    ["def test(): pass", "class test: pass", "import ast as test"],
)
@pytest.mark.parametrize("context", [minimal(), limited(), unsafe()])
def test_does_not_populate_namespace(code, context):
    guarded_eval(code, context)
    assert "test" not in context.locals
    assert "test" not in context.globals


def test_subscript():
    context = EvaluationContext(
        locals={}, globals={}, evaluation="limited", in_subscript=True
    )
    empty_slice = slice(None, None, None)
    assert guarded_eval("", context) == tuple()
    assert guarded_eval(":", context) == empty_slice
    assert guarded_eval("1:2:3", context) == slice(1, 2, 3)
    assert guarded_eval(':, "a"', context) == (empty_slice, "a")


def test_unbind_method():
    class X(list):
        def index(self, k):
            return "CUSTOM"

    x = X()
    assert _unbind_method(x.index) is X.index
    assert _unbind_method([].index) is list.index
    assert _unbind_method(list.index) is None


def test_assumption_instance_attr_do_not_matter():
    """This is semi-specified in Python documentation.

    However, since the specification says 'not guaranteed
    to work' rather than 'is forbidden to work', future
    versions could invalidate this assumptions. This test
    is meant to catch such a change if it ever comes true.
    """

    class T:
        def __getitem__(self, k):
            return "a"

        def __getattr__(self, k):
            return "a"

    def f(self):
        return "b"

    t = T()
    t.__getitem__ = f
    t.__getattr__ = f
    assert t[1] == "a"
    assert t[1] == "a"


def test_assumption_named_tuples_share_getitem():
    """Check assumption on named tuples sharing __getitem__"""
    from typing import NamedTuple

    class A(NamedTuple):
        pass

    class B(NamedTuple):
        pass

    assert A.__getitem__ == B.__getitem__


@dec.skip_without("numpy")
def test_module_access():
    import numpy

    context = limited(numpy=numpy)
    assert guarded_eval("numpy.linalg.norm", context) == numpy.linalg.norm

    context = minimal(numpy=numpy)
    with pytest.raises(GuardRejection):
        guarded_eval("np.linalg.norm", context)


def test_autoimport_module():
    context = EvaluationContext(
        locals={},
        globals={},
        evaluation="limited",
        auto_import=import_module,
        policy_overrides={"allow_auto_import": True},
    )
    pi = guarded_eval("math.pi", context)
    assert round(pi, 2) == 3.14


def test_autoimport_deep_module():
    context = EvaluationContext(
        locals={},
        globals={},
        evaluation="limited",
        auto_import=import_module,
        policy_overrides={"allow_auto_import": True},
    )
    ElementTree = guarded_eval("xml.etree.ElementTree", context)
    assert hasattr(ElementTree, "ElementTree")