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1"""Logic for interacting with type annotations, mostly extensions, shims and hacks to wrap Python's typing module.""" 

2 

3from __future__ import annotations 

4 

5import collections.abc 

6import re 

7import sys 

8import types 

9import typing 

10from functools import partial 

11from typing import TYPE_CHECKING, Any, Callable, cast 

12 

13import typing_extensions 

14from typing_extensions import deprecated, get_args, get_origin 

15from typing_inspection import typing_objects 

16from typing_inspection.introspection import is_union_origin 

17 

18from pydantic.version import version_short 

19 

20from ._namespace_utils import GlobalsNamespace, MappingNamespace, NsResolver, get_module_ns_of 

21 

22if sys.version_info < (3, 10): 

23 NoneType = type(None) 

24 EllipsisType = type(Ellipsis) 

25else: 

26 from types import EllipsisType as EllipsisType 

27 from types import NoneType as NoneType 

28 

29if sys.version_info >= (3, 14): 

30 import annotationlib 

31 

32if TYPE_CHECKING: 

33 from pydantic import BaseModel 

34 

35# As per https://typing-extensions.readthedocs.io/en/latest/#runtime-use-of-types, 

36# always check for both `typing` and `typing_extensions` variants of a typing construct. 

37# (this is implemented differently than the suggested approach in the `typing_extensions` 

38# docs for performance). 

39 

40 

41_t_annotated = typing.Annotated 

42_te_annotated = typing_extensions.Annotated 

43 

44 

45def is_annotated(tp: Any, /) -> bool: 

46 """Return whether the provided argument is a `Annotated` special form. 

47 

48 ```python {test="skip" lint="skip"} 

49 is_annotated(Annotated[int, ...]) 

50 #> True 

51 ``` 

52 """ 

53 origin = get_origin(tp) 

54 return origin is _t_annotated or origin is _te_annotated 

55 

56 

57def annotated_type(tp: Any, /) -> Any | None: 

58 """Return the type of the `Annotated` special form, or `None`.""" 

59 return tp.__origin__ if typing_objects.is_annotated(get_origin(tp)) else None 

60 

61 

62def unpack_type(tp: Any, /) -> Any | None: 

63 """Return the type wrapped by the `Unpack` special form, or `None`.""" 

64 return get_args(tp)[0] if typing_objects.is_unpack(get_origin(tp)) else None 

65 

66 

67def is_hashable(tp: Any, /) -> bool: 

68 """Return whether the provided argument is the `Hashable` class. 

69 

70 ```python {test="skip" lint="skip"} 

71 is_hashable(Hashable) 

72 #> True 

73 ``` 

74 """ 

75 # `get_origin` is documented as normalizing any typing-module aliases to `collections` classes, 

76 # hence the second check: 

77 return tp is collections.abc.Hashable or get_origin(tp) is collections.abc.Hashable 

78 

79 

80def is_callable(tp: Any, /) -> bool: 

81 """Return whether the provided argument is a `Callable`, parametrized or not. 

82 

83 ```python {test="skip" lint="skip"} 

84 is_callable(Callable[[int], str]) 

85 #> True 

86 is_callable(typing.Callable) 

87 #> True 

88 is_callable(collections.abc.Callable) 

89 #> True 

90 ``` 

91 """ 

92 # `get_origin` is documented as normalizing any typing-module aliases to `collections` classes, 

93 # hence the second check: 

94 return tp is collections.abc.Callable or get_origin(tp) is collections.abc.Callable 

95 

96 

97_classvar_re = re.compile(r'((\w+\.)?Annotated\[)?(\w+\.)?ClassVar\[') 

98 

99 

100def is_classvar_annotation(tp: Any, /) -> bool: 

101 """Return whether the provided argument represents a class variable annotation. 

102 

103 Although not explicitly stated by the typing specification, `ClassVar` can be used 

104 inside `Annotated` and as such, this function checks for this specific scenario. 

105 

106 Because this function is used to detect class variables before evaluating forward references 

107 (or because evaluation failed), we also implement a naive regex match implementation. This is 

108 required because class variables are inspected before fields are collected, so we try to be 

109 as accurate as possible. 

110 """ 

111 if typing_objects.is_classvar(tp): 

112 return True 

113 

114 origin = get_origin(tp) 

115 

116 if typing_objects.is_classvar(origin): 

117 return True 

118 

119 if typing_objects.is_annotated(origin): 

120 annotated_type = tp.__origin__ 

121 if typing_objects.is_classvar(annotated_type) or typing_objects.is_classvar(get_origin(annotated_type)): 

122 return True 

123 

124 str_ann: str | None = None 

125 if isinstance(tp, typing.ForwardRef): 

126 str_ann = tp.__forward_arg__ 

127 if isinstance(tp, str): 

128 str_ann = tp 

129 

130 if str_ann is not None and _classvar_re.match(str_ann): 

131 # stdlib dataclasses do something similar, although a bit more advanced 

132 # (see `dataclass._is_type`). 

133 return True 

134 

135 return False 

136 

137 

138_t_final = typing.Final 

139_te_final = typing_extensions.Final 

140 

141 

142# TODO implement `is_finalvar_annotation` as Final can be wrapped with other special forms: 

143def is_finalvar(tp: Any, /) -> bool: 

144 """Return whether the provided argument is a `Final` special form, parametrized or not. 

145 

146 ```python {test="skip" lint="skip"} 

147 is_finalvar(Final[int]) 

148 #> True 

149 is_finalvar(Final) 

150 #> True 

151 """ 

152 # Final is not necessarily parametrized: 

153 if tp is _t_final or tp is _te_final: 

154 return True 

155 origin = get_origin(tp) 

156 return origin is _t_final or origin is _te_final 

157 

158 

159_NONE_TYPES: tuple[Any, ...] = (None, NoneType, typing.Literal[None], typing_extensions.Literal[None]) 

160 

161 

162def is_none_type(tp: Any, /) -> bool: 

163 """Return whether the argument represents the `None` type as part of an annotation. 

164 

165 ```python {test="skip" lint="skip"} 

166 is_none_type(None) 

167 #> True 

168 is_none_type(NoneType) 

169 #> True 

170 is_none_type(Literal[None]) 

171 #> True 

172 is_none_type(type[None]) 

173 #> False 

174 """ 

175 return tp in _NONE_TYPES 

176 

177 

178def is_namedtuple(tp: Any, /) -> bool: 

179 """Return whether the provided argument is a named tuple class. 

180 

181 The class can be created using `typing.NamedTuple` or `collections.namedtuple`. 

182 Parametrized generic classes are *not* assumed to be named tuples. 

183 """ 

184 from ._utils import lenient_issubclass # circ. import 

185 

186 return lenient_issubclass(tp, tuple) and hasattr(tp, '_fields') 

187 

188 

189# TODO In 2.12, delete this export. It is currently defined only to not break 

190# pydantic-settings which relies on it: 

191origin_is_union = is_union_origin 

192 

193 

194def is_generic_alias(tp: Any, /) -> bool: 

195 return isinstance(tp, (types.GenericAlias, typing._GenericAlias)) # pyright: ignore[reportAttributeAccessIssue] 

196 

197 

198# TODO: Ideally, we should avoid relying on the private `typing` constructs: 

199 

200if sys.version_info < (3, 10): 

201 WithArgsTypes: tuple[Any, ...] = (typing._GenericAlias, types.GenericAlias) # pyright: ignore[reportAttributeAccessIssue] 

202else: 

203 WithArgsTypes: tuple[Any, ...] = (typing._GenericAlias, types.GenericAlias, types.UnionType) # pyright: ignore[reportAttributeAccessIssue] 

204 

205 

206# Similarly, we shouldn't rely on this `_Final` class, which is even more private than `_GenericAlias`: 

207typing_base: Any = typing._Final # pyright: ignore[reportAttributeAccessIssue] 

208 

209 

210### Annotation evaluations functions: 

211 

212 

213def parent_frame_namespace(*, parent_depth: int = 2, force: bool = False) -> dict[str, Any] | None: 

214 """Fetch the local namespace of the parent frame where this function is called. 

215 

216 Using this function is mostly useful to resolve forward annotations pointing to members defined in a local namespace, 

217 such as assignments inside a function. Using the standard library tools, it is currently not possible to resolve 

218 such annotations: 

219 

220 ```python {lint="skip" test="skip"} 

221 from typing import get_type_hints 

222 

223 def func() -> None: 

224 Alias = int 

225 

226 class C: 

227 a: 'Alias' 

228 

229 # Raises a `NameError: 'Alias' is not defined` 

230 get_type_hints(C) 

231 ``` 

232 

233 Pydantic uses this function when a Pydantic model is being defined to fetch the parent frame locals. However, 

234 this only allows us to fetch the parent frame namespace and not other parents (e.g. a model defined in a function, 

235 itself defined in another function). Inspecting the next outer frames (using `f_back`) is not reliable enough 

236 (see https://discuss.python.org/t/20659). 

237 

238 Because this function is mostly used to better resolve forward annotations, nothing is returned if the parent frame's 

239 code object is defined at the module level. In this case, the locals of the frame will be the same as the module 

240 globals where the class is defined (see `_namespace_utils.get_module_ns_of`). However, if you still want to fetch 

241 the module globals (e.g. when rebuilding a model, where the frame where the rebuild call is performed might contain 

242 members that you want to use for forward annotations evaluation), you can use the `force` parameter. 

243 

244 Args: 

245 parent_depth: The depth at which to get the frame. Defaults to 2, meaning the parent frame where this function 

246 is called will be used. 

247 force: Whether to always return the frame locals, even if the frame's code object is defined at the module level. 

248 

249 Returns: 

250 The locals of the namespace, or `None` if it was skipped as per the described logic. 

251 """ 

252 frame = sys._getframe(parent_depth) 

253 

254 if frame.f_code.co_name.startswith('<generic parameters of'): 

255 # As `parent_frame_namespace` is mostly called in `ModelMetaclass.__new__`, 

256 # the parent frame can be the annotation scope if the PEP 695 generic syntax is used. 

257 # (see https://docs.python.org/3/reference/executionmodel.html#annotation-scopes, 

258 # https://docs.python.org/3/reference/compound_stmts.html#generic-classes). 

259 # In this case, the code name is set to `<generic parameters of MyClass>`, 

260 # and we need to skip this frame as it is irrelevant. 

261 frame = cast(types.FrameType, frame.f_back) # guaranteed to not be `None` 

262 

263 # note, we don't copy frame.f_locals here (or during the last return call), because we don't expect the namespace to be 

264 # modified down the line if this becomes a problem, we could implement some sort of frozen mapping structure to enforce this. 

265 if force: 

266 return frame.f_locals 

267 

268 # If either of the following conditions are true, the class is defined at the top module level. 

269 # To better understand why we need both of these checks, see 

270 # https://github.com/pydantic/pydantic/pull/10113#discussion_r1714981531. 

271 if frame.f_back is None or frame.f_code.co_name == '<module>': 

272 return None 

273 

274 return frame.f_locals 

275 

276 

277def _type_convert(arg: Any) -> Any: 

278 """Convert `None` to `NoneType` and strings to `ForwardRef` instances. 

279 

280 This is a backport of the private `typing._type_convert` function. When 

281 evaluating a type, `ForwardRef._evaluate` ends up being called, and is 

282 responsible for making this conversion. However, we still have to apply 

283 it for the first argument passed to our type evaluation functions, similarly 

284 to the `typing.get_type_hints` function. 

285 """ 

286 if arg is None: 

287 return NoneType 

288 if isinstance(arg, str): 

289 # Like `typing.get_type_hints`, assume the arg can be in any context, 

290 # hence the proper `is_argument` and `is_class` args: 

291 return _make_forward_ref(arg, is_argument=False, is_class=True) 

292 return arg 

293 

294 

295def safe_get_annotations(cls: type[Any]) -> dict[str, Any]: 

296 """Get the annotations for the provided class, accounting for potential deferred forward references. 

297 

298 Starting with Python 3.14, accessing the `__annotations__` attribute might raise a `NameError` if 

299 a referenced symbol isn't defined yet. In this case, we return the annotation in the *forward ref* 

300 format. 

301 """ 

302 if sys.version_info >= (3, 14): 

303 return annotationlib.get_annotations(cls, format=annotationlib.Format.FORWARDREF) 

304 else: 

305 return cls.__dict__.get('__annotations__', {}) 

306 

307 

308def get_model_type_hints( 

309 obj: type[BaseModel], 

310 *, 

311 ns_resolver: NsResolver | None = None, 

312) -> dict[str, tuple[Any, bool]]: 

313 """Collect annotations from a Pydantic model class, including those from parent classes. 

314 

315 Args: 

316 obj: The Pydantic model to inspect. 

317 ns_resolver: A namespace resolver instance to use. Defaults to an empty instance. 

318 

319 Returns: 

320 A dictionary mapping annotation names to a two-tuple: the first element is the evaluated 

321 type or the original annotation if a `NameError` occurred, the second element is a boolean 

322 indicating if whether the evaluation succeeded. 

323 """ 

324 hints: dict[str, Any] | dict[str, tuple[Any, bool]] = {} 

325 ns_resolver = ns_resolver or NsResolver() 

326 

327 for base in reversed(obj.__mro__): 

328 # For Python 3.14, we could also use `Format.VALUE` and pass the globals/locals 

329 # from the ns_resolver, but we want to be able to know which specific field failed 

330 # to evaluate: 

331 ann = safe_get_annotations(base) 

332 

333 if not ann: 

334 continue 

335 

336 with ns_resolver.push(base): 

337 globalns, localns = ns_resolver.types_namespace 

338 for name, value in ann.items(): 

339 if name.startswith('_'): 

340 # For private attributes, we only need the annotation to detect the `ClassVar` special form. 

341 # For this reason, we still try to evaluate it, but we also catch any possible exception (on 

342 # top of the `NameError`s caught in `try_eval_type`) that could happen so that users are free 

343 # to use any kind of forward annotation for private fields (e.g. circular imports, new typing 

344 # syntax, etc). 

345 try: 

346 hints[name] = try_eval_type(value, globalns, localns) 

347 except Exception: 

348 hints[name] = (value, False) 

349 else: 

350 hints[name] = try_eval_type(value, globalns, localns) 

351 return hints 

352 

353 

354def get_cls_type_hints( 

355 obj: type[Any], 

356 *, 

357 ns_resolver: NsResolver | None = None, 

358) -> dict[str, Any]: 

359 """Collect annotations from a class, including those from parent classes. 

360 

361 Args: 

362 obj: The class to inspect. 

363 ns_resolver: A namespace resolver instance to use. Defaults to an empty instance. 

364 """ 

365 hints: dict[str, Any] = {} 

366 ns_resolver = ns_resolver or NsResolver() 

367 

368 for base in reversed(obj.__mro__): 

369 # For Python 3.14, we could also use `Format.VALUE` and pass the globals/locals 

370 # from the ns_resolver, but we want to be able to know which specific field failed 

371 # to evaluate: 

372 ann = safe_get_annotations(base) 

373 

374 if not ann: 

375 continue 

376 

377 with ns_resolver.push(base): 

378 globalns, localns = ns_resolver.types_namespace 

379 for name, value in ann.items(): 

380 hints[name] = eval_type(value, globalns, localns) 

381 return hints 

382 

383 

384def try_eval_type( 

385 value: Any, 

386 globalns: GlobalsNamespace | None = None, 

387 localns: MappingNamespace | None = None, 

388) -> tuple[Any, bool]: 

389 """Try evaluating the annotation using the provided namespaces. 

390 

391 Args: 

392 value: The value to evaluate. If `None`, it will be replaced by `type[None]`. If an instance 

393 of `str`, it will be converted to a `ForwardRef`. 

394 localns: The global namespace to use during annotation evaluation. 

395 globalns: The local namespace to use during annotation evaluation. 

396 

397 Returns: 

398 A two-tuple containing the possibly evaluated type and a boolean indicating 

399 whether the evaluation succeeded or not. 

400 """ 

401 value = _type_convert(value) 

402 

403 try: 

404 return eval_type_backport(value, globalns, localns), True 

405 except NameError: 

406 return value, False 

407 

408 

409def eval_type( 

410 value: Any, 

411 globalns: GlobalsNamespace | None = None, 

412 localns: MappingNamespace | None = None, 

413) -> Any: 

414 """Evaluate the annotation using the provided namespaces. 

415 

416 Args: 

417 value: The value to evaluate. If `None`, it will be replaced by `type[None]`. If an instance 

418 of `str`, it will be converted to a `ForwardRef`. 

419 localns: The global namespace to use during annotation evaluation. 

420 globalns: The local namespace to use during annotation evaluation. 

421 """ 

422 value = _type_convert(value) 

423 return eval_type_backport(value, globalns, localns) 

424 

425 

426@deprecated( 

427 '`eval_type_lenient` is deprecated, use `try_eval_type` instead.', 

428 category=None, 

429) 

430def eval_type_lenient( 

431 value: Any, 

432 globalns: GlobalsNamespace | None = None, 

433 localns: MappingNamespace | None = None, 

434) -> Any: 

435 ev, _ = try_eval_type(value, globalns, localns) 

436 return ev 

437 

438 

439def eval_type_backport( 

440 value: Any, 

441 globalns: GlobalsNamespace | None = None, 

442 localns: MappingNamespace | None = None, 

443 type_params: tuple[Any, ...] | None = None, 

444) -> Any: 

445 """An enhanced version of `typing._eval_type` which will fall back to using the `eval_type_backport` 

446 package if it's installed to let older Python versions use newer typing constructs. 

447 

448 Specifically, this transforms `X | Y` into `typing.Union[X, Y]` and `list[X]` into `typing.List[X]` 

449 (as well as all the types made generic in PEP 585) if the original syntax is not supported in the 

450 current Python version. 

451 

452 This function will also display a helpful error if the value passed fails to evaluate. 

453 """ 

454 try: 

455 return _eval_type_backport(value, globalns, localns, type_params) 

456 except TypeError as e: 

457 if 'Unable to evaluate type annotation' in str(e): 

458 raise 

459 

460 # If it is a `TypeError` and value isn't a `ForwardRef`, it would have failed during annotation definition. 

461 # Thus we assert here for type checking purposes: 

462 assert isinstance(value, typing.ForwardRef) 

463 

464 message = f'Unable to evaluate type annotation {value.__forward_arg__!r}.' 

465 if sys.version_info >= (3, 11): 

466 e.add_note(message) 

467 raise 

468 else: 

469 raise TypeError(message) from e 

470 except RecursionError as e: 

471 # TODO ideally recursion errors should be checked in `eval_type` above, but `eval_type_backport` 

472 # is used directly in some places. 

473 message = ( 

474 "If you made use of an implicit recursive type alias (e.g. `MyType = list['MyType']), " 

475 'consider using PEP 695 type aliases instead. For more details, refer to the documentation: ' 

476 f'https://docs.pydantic.dev/{version_short()}/concepts/types/#named-recursive-types' 

477 ) 

478 if sys.version_info >= (3, 11): 

479 e.add_note(message) 

480 raise 

481 else: 

482 raise RecursionError(f'{e.args[0]}\n{message}') 

483 

484 

485def _eval_type_backport( 

486 value: Any, 

487 globalns: GlobalsNamespace | None = None, 

488 localns: MappingNamespace | None = None, 

489 type_params: tuple[Any, ...] | None = None, 

490) -> Any: 

491 try: 

492 return _eval_type(value, globalns, localns, type_params) 

493 except TypeError as e: 

494 if not (isinstance(value, typing.ForwardRef) and is_backport_fixable_error(e)): 

495 raise 

496 

497 try: 

498 from eval_type_backport import eval_type_backport 

499 except ImportError: 

500 raise TypeError( 

501 f'Unable to evaluate type annotation {value.__forward_arg__!r}. If you are making use ' 

502 'of the new typing syntax (unions using `|` since Python 3.10 or builtins subscripting ' 

503 'since Python 3.9), you should either replace the use of new syntax with the existing ' 

504 '`typing` constructs or install the `eval_type_backport` package.' 

505 ) from e 

506 

507 return eval_type_backport( 

508 value, 

509 globalns, 

510 localns, # pyright: ignore[reportArgumentType], waiting on a new `eval_type_backport` release. 

511 try_default=False, 

512 ) 

513 

514 

515def _eval_type( 

516 value: Any, 

517 globalns: GlobalsNamespace | None = None, 

518 localns: MappingNamespace | None = None, 

519 type_params: tuple[Any, ...] | None = None, 

520) -> Any: 

521 if sys.version_info >= (3, 14): 

522 # Starting in 3.14, `_eval_type()` does *not* apply `_type_convert()` 

523 # anymore. This means the `None` -> `type(None)` conversion does not apply: 

524 evaluated = typing._eval_type( # type: ignore 

525 value, 

526 globalns, 

527 localns, 

528 type_params=type_params, 

529 ) 

530 if evaluated is None: 

531 evaluated = type(None) 

532 return evaluated 

533 elif sys.version_info >= (3, 13): 

534 return typing._eval_type( # type: ignore 

535 value, globalns, localns, type_params=type_params 

536 ) 

537 else: 

538 return typing._eval_type( # type: ignore 

539 value, globalns, localns 

540 ) 

541 

542 

543def is_backport_fixable_error(e: TypeError) -> bool: 

544 msg = str(e) 

545 

546 return sys.version_info < (3, 10) and msg.startswith('unsupported operand type(s) for |: ') 

547 

548 

549def get_function_type_hints( 

550 function: Callable[..., Any], 

551 *, 

552 include_keys: set[str] | None = None, 

553 globalns: GlobalsNamespace | None = None, 

554 localns: MappingNamespace | None = None, 

555) -> dict[str, Any]: 

556 """Return type hints for a function. 

557 

558 This is similar to the `typing.get_type_hints` function, with a few differences: 

559 - Support `functools.partial` by using the underlying `func` attribute. 

560 - Do not wrap type annotation of a parameter with `Optional` if it has a default value of `None` 

561 (related bug: https://github.com/python/cpython/issues/90353, only fixed in 3.11+). 

562 """ 

563 try: 

564 if isinstance(function, partial): 

565 annotations = function.func.__annotations__ 

566 else: 

567 annotations = function.__annotations__ 

568 except AttributeError: 

569 # Some functions (e.g. builtins) don't have annotations: 

570 return {} 

571 

572 if globalns is None: 

573 globalns = get_module_ns_of(function) 

574 type_params: tuple[Any, ...] | None = None 

575 if localns is None: 

576 # If localns was specified, it is assumed to already contain type params. This is because 

577 # Pydantic has more advanced logic to do so (see `_namespace_utils.ns_for_function`). 

578 type_params = getattr(function, '__type_params__', ()) 

579 

580 type_hints = {} 

581 for name, value in annotations.items(): 

582 if include_keys is not None and name not in include_keys: 

583 continue 

584 if value is None: 

585 value = NoneType 

586 elif isinstance(value, str): 

587 value = _make_forward_ref(value) 

588 

589 type_hints[name] = eval_type_backport(value, globalns, localns, type_params) 

590 

591 return type_hints 

592 

593 

594# TODO use typing.ForwardRef directly when we stop supporting 3.9: 

595if sys.version_info < (3, 9, 8) or (3, 10) <= sys.version_info < (3, 10, 1): 

596 

597 def _make_forward_ref( 

598 arg: Any, 

599 is_argument: bool = True, 

600 *, 

601 is_class: bool = False, 

602 ) -> typing.ForwardRef: 

603 """Wrapper for ForwardRef that accounts for the `is_class` argument missing in older versions. 

604 The `module` argument is omitted as it breaks <3.9.8, =3.10.0 and isn't used in the calls below. 

605 

606 See https://github.com/python/cpython/pull/28560 for some background. 

607 The backport happened on 3.9.8, see: 

608 https://github.com/pydantic/pydantic/discussions/6244#discussioncomment-6275458, 

609 and on 3.10.1 for the 3.10 branch, see: 

610 https://github.com/pydantic/pydantic/issues/6912 

611 

612 Implemented as EAFP with memory. 

613 """ 

614 return typing.ForwardRef(arg, is_argument) # pyright: ignore[reportCallIssue] 

615 

616else: 

617 _make_forward_ref = typing.ForwardRef # pyright: ignore[reportAssignmentType] 

618 

619 

620if sys.version_info >= (3, 10): 

621 get_type_hints = typing.get_type_hints 

622 

623else: 

624 """ 

625 For older versions of python, we have a custom implementation of `get_type_hints` which is a close as possible to 

626 the implementation in CPython 3.10.8. 

627 """ 

628 

629 @typing.no_type_check 

630 def get_type_hints( # noqa: C901 

631 obj: Any, 

632 globalns: dict[str, Any] | None = None, 

633 localns: dict[str, Any] | None = None, 

634 include_extras: bool = False, 

635 ) -> dict[str, Any]: # pragma: no cover 

636 """Taken verbatim from python 3.10.8 unchanged, except: 

637 * type annotations of the function definition above. 

638 * prefixing `typing.` where appropriate 

639 * Use `_make_forward_ref` instead of `typing.ForwardRef` to handle the `is_class` argument. 

640 

641 https://github.com/python/cpython/blob/aaaf5174241496afca7ce4d4584570190ff972fe/Lib/typing.py#L1773-L1875 

642 

643 DO NOT CHANGE THIS METHOD UNLESS ABSOLUTELY NECESSARY. 

644 ====================================================== 

645 

646 Return type hints for an object. 

647 

648 This is often the same as obj.__annotations__, but it handles 

649 forward references encoded as string literals, adds Optional[t] if a 

650 default value equal to None is set and recursively replaces all 

651 'Annotated[T, ...]' with 'T' (unless 'include_extras=True'). 

652 

653 The argument may be a module, class, method, or function. The annotations 

654 are returned as a dictionary. For classes, annotations include also 

655 inherited members. 

656 

657 TypeError is raised if the argument is not of a type that can contain 

658 annotations, and an empty dictionary is returned if no annotations are 

659 present. 

660 

661 BEWARE -- the behavior of globalns and localns is counterintuitive 

662 (unless you are familiar with how eval() and exec() work). The 

663 search order is locals first, then globals. 

664 

665 - If no dict arguments are passed, an attempt is made to use the 

666 globals from obj (or the respective module's globals for classes), 

667 and these are also used as the locals. If the object does not appear 

668 to have globals, an empty dictionary is used. For classes, the search 

669 order is globals first then locals. 

670 

671 - If one dict argument is passed, it is used for both globals and 

672 locals. 

673 

674 - If two dict arguments are passed, they specify globals and 

675 locals, respectively. 

676 """ 

677 if getattr(obj, '__no_type_check__', None): 

678 return {} 

679 # Classes require a special treatment. 

680 if isinstance(obj, type): 

681 hints = {} 

682 for base in reversed(obj.__mro__): 

683 if globalns is None: 

684 base_globals = getattr(sys.modules.get(base.__module__, None), '__dict__', {}) 

685 else: 

686 base_globals = globalns 

687 ann = base.__dict__.get('__annotations__', {}) 

688 if isinstance(ann, types.GetSetDescriptorType): 

689 ann = {} 

690 base_locals = dict(vars(base)) if localns is None else localns 

691 if localns is None and globalns is None: 

692 # This is surprising, but required. Before Python 3.10, 

693 # get_type_hints only evaluated the globalns of 

694 # a class. To maintain backwards compatibility, we reverse 

695 # the globalns and localns order so that eval() looks into 

696 # *base_globals* first rather than *base_locals*. 

697 # This only affects ForwardRefs. 

698 base_globals, base_locals = base_locals, base_globals 

699 for name, value in ann.items(): 

700 if value is None: 

701 value = type(None) 

702 if isinstance(value, str): 

703 value = _make_forward_ref(value, is_argument=False, is_class=True) 

704 

705 value = eval_type_backport(value, base_globals, base_locals) 

706 hints[name] = value 

707 if not include_extras and hasattr(typing, '_strip_annotations'): 

708 return { 

709 k: typing._strip_annotations(t) # type: ignore 

710 for k, t in hints.items() 

711 } 

712 else: 

713 return hints 

714 

715 if globalns is None: 

716 if isinstance(obj, types.ModuleType): 

717 globalns = obj.__dict__ 

718 else: 

719 nsobj = obj 

720 # Find globalns for the unwrapped object. 

721 while hasattr(nsobj, '__wrapped__'): 

722 nsobj = nsobj.__wrapped__ 

723 globalns = getattr(nsobj, '__globals__', {}) 

724 if localns is None: 

725 localns = globalns 

726 elif localns is None: 

727 localns = globalns 

728 hints = getattr(obj, '__annotations__', None) 

729 if hints is None: 

730 # Return empty annotations for something that _could_ have them. 

731 if isinstance(obj, typing._allowed_types): # type: ignore 

732 return {} 

733 else: 

734 raise TypeError(f'{obj!r} is not a module, class, method, or function.') 

735 defaults = typing._get_defaults(obj) # type: ignore 

736 hints = dict(hints) 

737 for name, value in hints.items(): 

738 if value is None: 

739 value = type(None) 

740 if isinstance(value, str): 

741 # class-level forward refs were handled above, this must be either 

742 # a module-level annotation or a function argument annotation 

743 

744 value = _make_forward_ref( 

745 value, 

746 is_argument=not isinstance(obj, types.ModuleType), 

747 is_class=False, 

748 ) 

749 value = eval_type_backport(value, globalns, localns) 

750 if name in defaults and defaults[name] is None: 

751 value = typing.Optional[value] 

752 hints[name] = value 

753 return hints if include_extras else {k: typing._strip_annotations(t) for k, t in hints.items()} # type: ignore