summaryrefslogtreecommitdiffstats
path: root/Tools/clinic/libclinic/function.py
blob: 93901263e44c04545d9f9bfb47ddf96eaf023b5b (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
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
from __future__ import annotations
import dataclasses as dc
import copy
import enum
import functools
import inspect
from collections.abc import Iterable, Iterator, Sequence
from typing import Final, Any, TYPE_CHECKING
if TYPE_CHECKING:
    from libclinic.converter import CConverter
    from libclinic.converters import self_converter
    from libclinic.return_converters import CReturnConverter
    from libclinic.app import Clinic

from libclinic import VersionTuple, unspecified


ClassDict = dict[str, "Class"]
ModuleDict = dict[str, "Module"]
ParamDict = dict[str, "Parameter"]


@dc.dataclass(repr=False)
class Module:
    name: str
    module: Module | Clinic

    def __post_init__(self) -> None:
        self.parent = self.module
        self.modules: ModuleDict = {}
        self.classes: ClassDict = {}
        self.functions: list[Function] = []

    def __repr__(self) -> str:
        return "<clinic.Module " + repr(self.name) + " at " + str(id(self)) + ">"


@dc.dataclass(repr=False)
class Class:
    name: str
    module: Module | Clinic
    cls: Class | None
    typedef: str
    type_object: str

    def __post_init__(self) -> None:
        self.parent = self.cls or self.module
        self.classes: ClassDict = {}
        self.functions: list[Function] = []

    def __repr__(self) -> str:
        return "<clinic.Class " + repr(self.name) + " at " + str(id(self)) + ">"


class FunctionKind(enum.Enum):
    CALLABLE        = enum.auto()
    STATIC_METHOD   = enum.auto()
    CLASS_METHOD    = enum.auto()
    METHOD_INIT     = enum.auto()
    METHOD_NEW      = enum.auto()
    GETTER          = enum.auto()
    SETTER          = enum.auto()

    @functools.cached_property
    def new_or_init(self) -> bool:
        return self in {FunctionKind.METHOD_INIT, FunctionKind.METHOD_NEW}

    def __repr__(self) -> str:
        return f"<clinic.FunctionKind.{self.name}>"


CALLABLE: Final = FunctionKind.CALLABLE
STATIC_METHOD: Final = FunctionKind.STATIC_METHOD
CLASS_METHOD: Final = FunctionKind.CLASS_METHOD
METHOD_INIT: Final = FunctionKind.METHOD_INIT
METHOD_NEW: Final = FunctionKind.METHOD_NEW
GETTER: Final = FunctionKind.GETTER
SETTER: Final = FunctionKind.SETTER


@dc.dataclass(repr=False)
class Function:
    """
    Mutable duck type for inspect.Function.

    docstring - a str containing
        * embedded line breaks
        * text outdented to the left margin
        * no trailing whitespace.
        It will always be true that
            (not docstring) or ((not docstring[0].isspace()) and (docstring.rstrip() == docstring))
    """
    parameters: ParamDict = dc.field(default_factory=dict)
    _: dc.KW_ONLY
    name: str
    module: Module | Clinic
    cls: Class | None
    c_basename: str
    full_name: str
    return_converter: CReturnConverter
    kind: FunctionKind
    coexist: bool
    return_annotation: object = inspect.Signature.empty
    docstring: str = ''
    # docstring_only means "don't generate a machine-readable
    # signature, just a normal docstring".  it's True for
    # functions with optional groups because we can't represent
    # those accurately with inspect.Signature in 3.4.
    docstring_only: bool = False
    forced_text_signature: str | None = None
    critical_section: bool = False
    target_critical_section: list[str] = dc.field(default_factory=list)

    def __post_init__(self) -> None:
        self.parent = self.cls or self.module
        self.self_converter: self_converter | None = None
        self.__render_parameters__: list[Parameter] | None = None

    @functools.cached_property
    def displayname(self) -> str:
        """Pretty-printable name."""
        if self.kind.new_or_init:
            assert isinstance(self.cls, Class)
            return self.cls.name
        else:
            return self.name

    @functools.cached_property
    def fulldisplayname(self) -> str:
        parent: Class | Module | Clinic | None
        if self.kind.new_or_init:
            parent = getattr(self.cls, "parent", None)
        else:
            parent = self.parent
        name = self.displayname
        while isinstance(parent, (Module, Class)):
            name = f"{parent.name}.{name}"
            parent = parent.parent
        return name

    @property
    def render_parameters(self) -> list[Parameter]:
        if not self.__render_parameters__:
            l: list[Parameter] = []
            self.__render_parameters__ = l
            for p in self.parameters.values():
                p = p.copy()
                p.converter.pre_render()
                l.append(p)
        return self.__render_parameters__

    @property
    def methoddef_flags(self) -> str | None:
        if self.kind.new_or_init:
            return None
        flags = []
        match self.kind:
            case FunctionKind.CLASS_METHOD:
                flags.append('METH_CLASS')
            case FunctionKind.STATIC_METHOD:
                flags.append('METH_STATIC')
            case _ as kind:
                acceptable_kinds = {FunctionKind.CALLABLE, FunctionKind.GETTER, FunctionKind.SETTER}
                assert kind in acceptable_kinds, f"unknown kind: {kind!r}"
        if self.coexist:
            flags.append('METH_COEXIST')
        return '|'.join(flags)

    def __repr__(self) -> str:
        return f'<clinic.Function {self.name!r}>'

    def copy(self, **overrides: Any) -> Function:
        f = dc.replace(self, **overrides)
        f.parameters = {
            name: value.copy(function=f)
            for name, value in f.parameters.items()
        }
        return f


@dc.dataclass(repr=False, slots=True)
class Parameter:
    """
    Mutable duck type of inspect.Parameter.
    """
    name: str
    kind: inspect._ParameterKind
    _: dc.KW_ONLY
    default: object = inspect.Parameter.empty
    function: Function
    converter: CConverter
    annotation: object = inspect.Parameter.empty
    docstring: str = ''
    group: int = 0
    # (`None` signifies that there is no deprecation)
    deprecated_positional: VersionTuple | None = None
    deprecated_keyword: VersionTuple | None = None
    right_bracket_count: int = dc.field(init=False, default=0)

    def __repr__(self) -> str:
        return f'<clinic.Parameter {self.name!r}>'

    def is_keyword_only(self) -> bool:
        return self.kind == inspect.Parameter.KEYWORD_ONLY

    def is_positional_only(self) -> bool:
        return self.kind == inspect.Parameter.POSITIONAL_ONLY

    def is_vararg(self) -> bool:
        return self.kind == inspect.Parameter.VAR_POSITIONAL

    def is_optional(self) -> bool:
        return not self.is_vararg() and (self.default is not unspecified)

    def copy(
        self,
        /,
        *,
        converter: CConverter | None = None,
        function: Function | None = None,
        **overrides: Any
    ) -> Parameter:
        function = function or self.function
        if not converter:
            converter = copy.copy(self.converter)
            converter.function = function
        return dc.replace(self, **overrides, function=function, converter=converter)

    def get_displayname(self, i: int) -> str:
        if i == 0:
            return 'argument'
        if not self.is_positional_only():
            return f'argument {self.name!r}'
        else:
            return f'argument {i}'

    def render_docstring(self) -> str:
        lines = [f"  {self.name}"]
        lines.extend(f"    {line}" for line in self.docstring.split("\n"))
        return "\n".join(lines).rstrip()


ParamTuple = tuple["Parameter", ...]


def permute_left_option_groups(
    l: Sequence[Iterable[Parameter]]
) -> Iterator[ParamTuple]:
    """
    Given [(1,), (2,), (3,)], should yield:
       ()
       (3,)
       (2, 3)
       (1, 2, 3)
    """
    yield tuple()
    accumulator: list[Parameter] = []
    for group in reversed(l):
        accumulator = list(group) + accumulator
        yield tuple(accumulator)


def permute_right_option_groups(
    l: Sequence[Iterable[Parameter]]
) -> Iterator[ParamTuple]:
    """
    Given [(1,), (2,), (3,)], should yield:
      ()
      (1,)
      (1, 2)
      (1, 2, 3)
    """
    yield tuple()
    accumulator: list[Parameter] = []
    for group in l:
        accumulator.extend(group)
        yield tuple(accumulator)


def permute_optional_groups(
    left: Sequence[Iterable[Parameter]],
    required: Iterable[Parameter],
    right: Sequence[Iterable[Parameter]]
) -> tuple[ParamTuple, ...]:
    """
    Generator function that computes the set of acceptable
    argument lists for the provided iterables of
    argument groups.  (Actually it generates a tuple of tuples.)

    Algorithm: prefer left options over right options.

    If required is empty, left must also be empty.
    """
    required = tuple(required)
    if not required:
        if left:
            raise ValueError("required is empty but left is not")

    accumulator: list[ParamTuple] = []
    counts = set()
    for r in permute_right_option_groups(right):
        for l in permute_left_option_groups(left):
            t = l + required + r
            if len(t) in counts:
                continue
            counts.add(len(t))
            accumulator.append(t)

    accumulator.sort(key=len)
    return tuple(accumulator)