晋太元中,武陵人捕鱼为业。缘溪行,忘路之远近。忽逢桃花林,夹岸数百步,中无杂树,芳草鲜美,落英缤纷。渔人甚异之,复前行,欲穷其林。   林尽水源,便得一山,山有小口,仿佛若有光。便舍船,从口入。初极狭,才通人。复行数十步,豁然开朗。土地平旷,屋舍俨然,有良田、美池、桑竹之属。阡陌交通,鸡犬相闻。其中往来种作,男女衣着,悉如外人。黄发垂髫,并怡然自乐。   见渔人,乃大惊,问所从来。具答之。便要还家,设酒杀鸡作食。村中闻有此人,咸来问讯。自云先世避秦时乱,率妻子邑人来此绝境,不复出焉,遂与外人间隔。问今是何世,乃不知有汉,无论魏晋。此人一一为具言所闻,皆叹惋。余人各复延至其家,皆出酒食。停数日,辞去。此中人语云:“不足为外人道也。”(间隔 一作:隔绝)   既出,得其船,便扶向路,处处志之。及郡下,诣太守,说如此。太守即遣人随其往,寻向所志,遂迷,不复得路。   南阳刘子骥,高尚士也,闻之,欣然规往。未果,寻病终。后遂无问津者。 sh-3ll

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# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/main/LICENSE
# Copyright (c) https://github.com/PyCQA/astroid/blob/main/CONTRIBUTORS.txt

from __future__ import annotations

from astroid import nodes
from astroid.bases import Instance
from astroid.context import CallContext, InferenceContext
from astroid.exceptions import InferenceError, NoDefault
from astroid.util import Uninferable, UninferableBase


class CallSite:
    """Class for understanding arguments passed into a call site.

    It needs a call context, which contains the arguments and the
    keyword arguments that were passed into a given call site.
    In order to infer what an argument represents, call :meth:`infer_argument`
    with the corresponding function node and the argument name.

    :param callcontext:
        An instance of :class:`astroid.context.CallContext`, that holds
        the arguments for the call site.
    :param argument_context_map:
        Additional contexts per node, passed in from :attr:`astroid.context.Context.extra_context`
    :param context:
        An instance of :class:`astroid.context.Context`.
    """

    def __init__(
        self,
        callcontext: CallContext,
        argument_context_map=None,
        context: InferenceContext | None = None,
    ):
        if argument_context_map is None:
            argument_context_map = {}
        self.argument_context_map = argument_context_map
        args = callcontext.args
        keywords = callcontext.keywords
        self.duplicated_keywords: set[str] = set()
        self._unpacked_args = self._unpack_args(args, context=context)
        self._unpacked_kwargs = self._unpack_keywords(keywords, context=context)

        self.positional_arguments = [
            arg for arg in self._unpacked_args if not isinstance(arg, UninferableBase)
        ]
        self.keyword_arguments = {
            key: value
            for key, value in self._unpacked_kwargs.items()
            if not isinstance(value, UninferableBase)
        }

    @classmethod
    def from_call(cls, call_node, context: InferenceContext | None = None):
        """Get a CallSite object from the given Call node.

        context will be used to force a single inference path.
        """

        # Determine the callcontext from the given `context` object if any.
        context = context or InferenceContext()
        callcontext = CallContext(call_node.args, call_node.keywords)
        return cls(callcontext, context=context)

    def has_invalid_arguments(self):
        """Check if in the current CallSite were passed *invalid* arguments.

        This can mean multiple things. For instance, if an unpacking
        of an invalid object was passed, then this method will return True.
        Other cases can be when the arguments can't be inferred by astroid,
        for example, by passing objects which aren't known statically.
        """
        return len(self.positional_arguments) != len(self._unpacked_args)

    def has_invalid_keywords(self) -> bool:
        """Check if in the current CallSite were passed *invalid* keyword arguments.

        For instance, unpacking a dictionary with integer keys is invalid
        (**{1:2}), because the keys must be strings, which will make this
        method to return True. Other cases where this might return True if
        objects which can't be inferred were passed.
        """
        return len(self.keyword_arguments) != len(self._unpacked_kwargs)

    def _unpack_keywords(self, keywords, context: InferenceContext | None = None):
        values = {}
        context = context or InferenceContext()
        context.extra_context = self.argument_context_map
        for name, value in keywords:
            if name is None:
                # Then it's an unpacking operation (**)
                try:
                    inferred = next(value.infer(context=context))
                except InferenceError:
                    values[name] = Uninferable
                    continue
                except StopIteration:
                    continue

                if not isinstance(inferred, nodes.Dict):
                    # Not something we can work with.
                    values[name] = Uninferable
                    continue

                for dict_key, dict_value in inferred.items:
                    try:
                        dict_key = next(dict_key.infer(context=context))
                    except InferenceError:
                        values[name] = Uninferable
                        continue
                    except StopIteration:
                        continue
                    if not isinstance(dict_key, nodes.Const):
                        values[name] = Uninferable
                        continue
                    if not isinstance(dict_key.value, str):
                        values[name] = Uninferable
                        continue
                    if dict_key.value in values:
                        # The name is already in the dictionary
                        values[dict_key.value] = Uninferable
                        self.duplicated_keywords.add(dict_key.value)
                        continue
                    values[dict_key.value] = dict_value
            else:
                values[name] = value
        return values

    def _unpack_args(self, args, context: InferenceContext | None = None):
        values = []
        context = context or InferenceContext()
        context.extra_context = self.argument_context_map
        for arg in args:
            if isinstance(arg, nodes.Starred):
                try:
                    inferred = next(arg.value.infer(context=context))
                except InferenceError:
                    values.append(Uninferable)
                    continue
                except StopIteration:
                    continue

                if isinstance(inferred, UninferableBase):
                    values.append(Uninferable)
                    continue
                if not hasattr(inferred, "elts"):
                    values.append(Uninferable)
                    continue
                values.extend(inferred.elts)
            else:
                values.append(arg)
        return values

    def infer_argument(self, funcnode, name, context):  # noqa: C901
        """Infer a function argument value according to the call context.

        Arguments:
            funcnode: The function being called.
            name: The name of the argument whose value is being inferred.
            context: Inference context object
        """
        if name in self.duplicated_keywords:
            raise InferenceError(
                "The arguments passed to {func!r} have duplicate keywords.",
                call_site=self,
                func=funcnode,
                arg=name,
                context=context,
            )

        # Look into the keywords first, maybe it's already there.
        try:
            return self.keyword_arguments[name].infer(context)
        except KeyError:
            pass

        # Too many arguments given and no variable arguments.
        if len(self.positional_arguments) > len(funcnode.args.args):
            if not funcnode.args.vararg and not funcnode.args.posonlyargs:
                raise InferenceError(
                    "Too many positional arguments "
                    "passed to {func!r} that does "
                    "not have *args.",
                    call_site=self,
                    func=funcnode,
                    arg=name,
                    context=context,
                )

        positional = self.positional_arguments[: len(funcnode.args.args)]
        vararg = self.positional_arguments[len(funcnode.args.args) :]
        argindex = funcnode.args.find_argname(name)[0]
        kwonlyargs = {arg.name for arg in funcnode.args.kwonlyargs}
        kwargs = {
            key: value
            for key, value in self.keyword_arguments.items()
            if key not in kwonlyargs
        }
        # If there are too few positionals compared to
        # what the function expects to receive, check to see
        # if the missing positional arguments were passed
        # as keyword arguments and if so, place them into the
        # positional args list.
        if len(positional) < len(funcnode.args.args):
            for func_arg in funcnode.args.args:
                if func_arg.name in kwargs:
                    arg = kwargs.pop(func_arg.name)
                    positional.append(arg)

        if argindex is not None:
            boundnode = getattr(context, "boundnode", None)
            # 2. first argument of instance/class method
            if argindex == 0 and funcnode.type in {"method", "classmethod"}:
                # context.boundnode is None when an instance method is called with
                # the class, e.g. MyClass.method(obj, ...). In this case, self
                # is the first argument.
                if boundnode is None and funcnode.type == "method" and positional:
                    return positional[0].infer(context=context)
                if boundnode is None:
                    # XXX can do better ?
                    boundnode = funcnode.parent.frame(future=True)

                if isinstance(boundnode, nodes.ClassDef):
                    # Verify that we're accessing a method
                    # of the metaclass through a class, as in
                    # `cls.metaclass_method`. In this case, the
                    # first argument is always the class.
                    method_scope = funcnode.parent.scope()
                    if method_scope is boundnode.metaclass():
                        return iter((boundnode,))

                if funcnode.type == "method":
                    if not isinstance(boundnode, Instance):
                        boundnode = boundnode.instantiate_class()
                    return iter((boundnode,))
                if funcnode.type == "classmethod":
                    return iter((boundnode,))
            # if we have a method, extract one position
            # from the index, so we'll take in account
            # the extra parameter represented by `self` or `cls`
            if funcnode.type in {"method", "classmethod"} and boundnode:
                argindex -= 1
            # 2. search arg index
            try:
                return self.positional_arguments[argindex].infer(context)
            except IndexError:
                pass

        if funcnode.args.kwarg == name:
            # It wants all the keywords that were passed into
            # the call site.
            if self.has_invalid_keywords():
                raise InferenceError(
                    "Inference failed to find values for all keyword arguments "
                    "to {func!r}: {unpacked_kwargs!r} doesn't correspond to "
                    "{keyword_arguments!r}.",
                    keyword_arguments=self.keyword_arguments,
                    unpacked_kwargs=self._unpacked_kwargs,
                    call_site=self,
                    func=funcnode,
                    arg=name,
                    context=context,
                )
            kwarg = nodes.Dict(
                lineno=funcnode.args.lineno,
                col_offset=funcnode.args.col_offset,
                parent=funcnode.args,
            )
            kwarg.postinit(
                [(nodes.const_factory(key), value) for key, value in kwargs.items()]
            )
            return iter((kwarg,))
        if funcnode.args.vararg == name:
            # It wants all the args that were passed into
            # the call site.
            if self.has_invalid_arguments():
                raise InferenceError(
                    "Inference failed to find values for all positional "
                    "arguments to {func!r}: {unpacked_args!r} doesn't "
                    "correspond to {positional_arguments!r}.",
                    positional_arguments=self.positional_arguments,
                    unpacked_args=self._unpacked_args,
                    call_site=self,
                    func=funcnode,
                    arg=name,
                    context=context,
                )
            args = nodes.Tuple(
                lineno=funcnode.args.lineno,
                col_offset=funcnode.args.col_offset,
                parent=funcnode.args,
            )
            args.postinit(vararg)
            return iter((args,))

        # Check if it's a default parameter.
        try:
            return funcnode.args.default_value(name).infer(context)
        except NoDefault:
            pass
        raise InferenceError(
            "No value found for argument {arg} to {func!r}",
            call_site=self,
            func=funcnode,
            arg=name,
            context=context,
        )