summaryrefslogtreecommitdiff
path: root/src/main/python/venv/Lib/site-packages/astroid/arguments.py
blob: c4bdc6d926e7700b2341a970ae4c2d34beb43823 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
# Copyright (c) 2015-2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
# Copyright (c) 2015-2016 Ceridwen <ceridwenv@gmail.com>
# Copyright (c) 2018 Bryce Guinta <bryce.paul.guinta@gmail.com>
# Copyright (c) 2018 Nick Drozd <nicholasdrozd@gmail.com>
# Copyright (c) 2018 Anthony Sottile <asottile@umich.edu>

# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER


from astroid import bases
from astroid import context as contextmod
from astroid import exceptions
from astroid import nodes
from astroid import util


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.
    """

    def __init__(self, callcontext, argument_context_map=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()
        self._unpacked_args = self._unpack_args(args)
        self._unpacked_kwargs = self._unpack_keywords(keywords)

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

    @classmethod
    def from_call(cls, call_node):
        """Get a CallSite object from the given Call node."""
        callcontext = contextmod.CallContext(call_node.args, call_node.keywords)
        return cls(callcontext)

    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):
        """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):
        values = {}
        context = contextmod.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 exceptions.InferenceError:
                    values[name] = util.Uninferable
                    continue

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

                for dict_key, dict_value in inferred.items:
                    try:
                        dict_key = next(dict_key.infer(context=context))
                    except exceptions.InferenceError:
                        values[name] = util.Uninferable
                        continue
                    if not isinstance(dict_key, nodes.Const):
                        values[name] = util.Uninferable
                        continue
                    if not isinstance(dict_key.value, str):
                        values[name] = util.Uninferable
                        continue
                    if dict_key.value in values:
                        # The name is already in the dictionary
                        values[dict_key.value] = util.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):
        values = []
        context = contextmod.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 exceptions.InferenceError:
                    values.append(util.Uninferable)
                    continue

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

    def infer_argument(self, funcnode, name, context):
        """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 exceptions.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:
                raise exceptions.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:
            # 2. first argument of instance/class method
            if argindex == 0 and funcnode.type in ("method", "classmethod"):
                if context.boundnode is not None:
                    boundnode = context.boundnode
                else:
                    # XXX can do better ?
                    boundnode = funcnode.parent.frame()

                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, bases.Instance):
                        boundnode = bases.Instance(boundnode)
                    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"):
                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 exceptions.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 exceptions.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 exceptions.NoDefault:
            pass
        raise exceptions.InferenceError(
            "No value found for argument {name} to " "{func!r}",
            call_site=self,
            func=funcnode,
            arg=name,
            context=context,
        )