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1# ######################### LICENSE ############################ # 

2 

3# Copyright (c) 2005-2026, Michele Simionato 

4# All rights reserved. 

5 

6# Redistribution and use in source and binary forms, with or without 

7# modification, are permitted provided that the following conditions are 

8# met: 

9 

10# Redistributions of source code must retain the above copyright 

11# notice, this list of conditions and the following disclaimer. 

12# Redistributions in bytecode form must reproduce the above copyright 

13# notice, this list of conditions and the following disclaimer in 

14# the documentation and/or other materials provided with the 

15# distribution. 

16 

17# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 

18# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT 

19# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR 

20# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT 

21# HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, 

22# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, 

23# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS 

24# OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND 

25# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR 

26# TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE 

27# USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH 

28# DAMAGE. 

29 

30""" 

31Decorator module, see 

32https://github.com/micheles/decorator/blob/master/docs/documentation.md 

33for the documentation. 

34""" 

35import re 

36import sys 

37import inspect 

38import operator 

39import itertools 

40import functools 

41from contextlib import _GeneratorContextManager 

42from collections import namedtuple 

43from inspect import Parameter, iscoroutinefunction, isgeneratorfunction 

44from typing import Any, Dict, List, Optional 

45try: 

46 import annotationlib # in Python 3.14+ 

47 

48 def inspect_sig(func): 

49 return inspect.signature( 

50 func, annotation_format=annotationlib.Format.FORWARDREF) 

51 

52except ImportError: 

53 inspect_sig = inspect.signature 

54 

55__version__ = '5.3.1' 

56 

57DEF = re.compile(r'\s*def\s*([_\w][_\w\d]*)\s*\(') 

58POS = inspect.Parameter.POSITIONAL_OR_KEYWORD 

59EMPTY = inspect.Parameter.empty 

60FullArgSpec = namedtuple('FullArgSpec', [ 

61 'args', 'varargs', 'varkw', 'defaults', 

62 'kwonlyargs', 'kwonlydefaults', 'annotations' 

63]) 

64 

65 

66def getfullargspec(func): 

67 """ 

68 A pure re-implementation of inspect.getfullargspec(func) 

69 built entirely on top of the modern inspect.signature API. 

70 This is needed to work around a python 3.14 forward references bug. 

71 """ 

72 sig = inspect_sig(func) 

73 

74 args = [] 

75 varargs = None 

76 varkw = None 

77 defaults_list = [] 

78 kwonlyargs = [] 

79 kwonlydefaults = {} 

80 annotations = {} 

81 

82 # Process return annotation if it exists 

83 if sig.return_annotation is not inspect.Signature.empty: 

84 annotations['return'] = sig.return_annotation 

85 

86 for name, param in sig.parameters.items(): 

87 # Collect annotations for any parameter that defines one 

88 if param.annotation is not Parameter.empty: 

89 annotations[name] = param.annotation 

90 

91 # Segment parameters by their operational "kind" 

92 if param.kind in (Parameter.POSITIONAL_ONLY, 

93 Parameter.POSITIONAL_OR_KEYWORD): 

94 args.append(name) 

95 # Track defaults for standard positional arguments 

96 if param.default is not Parameter.empty: 

97 defaults_list.append(param.default) 

98 else: 

99 # Legacy behavior quirk: if a non-default argument follows a 

100 # defaulted positional-only argument, the previous defaults 

101 # are wiped 

102 defaults_list.clear() 

103 

104 elif param.kind == Parameter.VAR_POSITIONAL: 

105 varargs = name 

106 

107 elif param.kind == Parameter.KEYWORD_ONLY: 

108 kwonlyargs.append(name) 

109 if param.default is not Parameter.empty: 

110 kwonlydefaults[name] = param.default 

111 

112 elif param.kind == Parameter.VAR_KEYWORD: 

113 varkw = name 

114 

115 # Format output fields to match precise spec specifications 

116 defaults = tuple(defaults_list) if defaults_list else None 

117 kwonlydefaults = kwonlydefaults if kwonlydefaults else None 

118 

119 return FullArgSpec(args, varargs, varkw, defaults, kwonlyargs, 

120 kwonlydefaults, annotations) 

121 

122 

123# this is not used anymore in the core, but kept for backward compatibility 

124class FunctionMaker: 

125 """ 

126 An object with the ability to create functions with a given signature. 

127 It has attributes name, doc, module, signature, defaults, dict and 

128 methods update and make. 

129 """ 

130 

131 # Atomic get-and-increment provided by the GIL 

132 _compile_count = itertools.count() 

133 

134 # make pylint happy 

135 args: List[str] = [] 

136 varargs = varkw = defaults = None 

137 kwonlyargs: List[str] = [] 

138 kwonlydefaults: Optional[Dict[str, Any]] = None 

139 

140 def __init__(self, func=None, name=None, signature=None, 

141 defaults=None, doc=None, module=None, funcdict=None): 

142 self.shortsignature = signature 

143 if func: 

144 # func can be a class or a callable, but not an instance method 

145 self.name = func.__name__ 

146 if self.name == '<lambda>': # small hack for lambda functions 

147 self.name = '_lambda_' 

148 self.doc = func.__doc__ 

149 self.module = func.__module__ 

150 if inspect.isroutine(func) or isinstance(func, functools.partial): 

151 argspec = getfullargspec(func) 

152 self.annotations = getattr(func, '__annotations__', {}) 

153 for a in ('args', 'varargs', 'varkw', 'defaults', 'kwonlyargs', 

154 'kwonlydefaults'): 

155 setattr(self, a, getattr(argspec, a)) 

156 for i, arg in enumerate(self.args): 

157 setattr(self, 'arg%d' % i, arg) 

158 allargs = list(self.args) 

159 allshortargs = list(self.args) 

160 if self.varargs: 

161 allargs.append('*' + self.varargs) 

162 allshortargs.append('*' + self.varargs) 

163 elif self.kwonlyargs: 

164 allargs.append('*') # single star syntax 

165 for a in self.kwonlyargs: 

166 allargs.append('%s=None' % a) 

167 allshortargs.append('{}={}'.format(a, a)) 

168 if self.varkw: 

169 allargs.append('**' + self.varkw) 

170 allshortargs.append('**' + self.varkw) 

171 self.signature = ', '.join(allargs) 

172 self.shortsignature = ', '.join(allshortargs) 

173 self.dict = func.__dict__.copy() 

174 # func=None happens when decorating a caller 

175 if name: 

176 self.name = name 

177 if signature is not None: 

178 self.signature = signature 

179 if defaults: 

180 self.defaults = defaults 

181 if doc: 

182 self.doc = doc 

183 if module: 

184 self.module = module 

185 if funcdict: 

186 self.dict = funcdict 

187 # check existence required attributes 

188 assert hasattr(self, 'name') 

189 if not hasattr(self, 'signature'): 

190 raise TypeError('You are decorating a non function: %s' % func) 

191 

192 def update(self, func, **kw): 

193 """ 

194 Update the signature of func with the data in self 

195 """ 

196 func.__name__ = self.name 

197 func.__doc__ = getattr(self, 'doc', None) 

198 func.__dict__ = getattr(self, 'dict', {}) 

199 func.__defaults__ = self.defaults 

200 func.__kwdefaults__ = self.kwonlydefaults or None 

201 func.__annotations__ = getattr(self, 'annotations', None) 

202 try: 

203 frame = sys._getframe(3) 

204 except AttributeError: # for IronPython and similar implementations 

205 callermodule = '?' 

206 else: 

207 callermodule = frame.f_globals.get('__name__', '?') 

208 func.__module__ = getattr(self, 'module', callermodule) 

209 func.__dict__.update(kw) 

210 

211 def make(self, src_templ, evaldict=None, addsource=False, **attrs): 

212 """ 

213 Make a new function from a given template and update the signature 

214 """ 

215 src = src_templ % vars(self) # expand name and signature 

216 evaldict = evaldict or {} 

217 mo = DEF.search(src) 

218 if mo is None: 

219 raise SyntaxError('not a valid function template\n%s' % src) 

220 name = mo.group(1) # extract the function name 

221 names = set([name] + [arg.strip(' *') for arg in 

222 self.shortsignature.split(',')]) 

223 for n in names: 

224 if n in ('_func_', '_call_'): 

225 raise NameError('{} is overridden in\n{}'.format(n, src)) 

226 

227 if not src.endswith('\n'): # add a newline for old Pythons 

228 src += '\n' 

229 

230 # Ensure each generated function has a unique filename for profilers 

231 # (such as cProfile) that depend on the tuple of (<filename>, 

232 # <definition line>, <function name>) being unique. 

233 filename = '<decorator-gen-%d>' % next(self._compile_count) 

234 try: 

235 code = compile(src, filename, 'single') 

236 exec(code, evaldict) 

237 except Exception: 

238 print('Error in generated code:', file=sys.stderr) 

239 print(src, file=sys.stderr) 

240 raise 

241 func = evaldict[name] 

242 if addsource: 

243 attrs['__source__'] = src 

244 self.update(func, **attrs) 

245 return func 

246 

247 @classmethod 

248 def create(cls, obj, body, evaldict, defaults=None, 

249 doc=None, module=None, addsource=True, **attrs): 

250 """ 

251 Create a function from the strings name, signature and body. 

252 evaldict is the evaluation dictionary. If addsource is true an 

253 attribute __source__ is added to the result. The attributes attrs 

254 are added, if any. 

255 """ 

256 if isinstance(obj, str): # "name(signature)" or "name(signature) -> ret" 

257 name, rest = obj.strip().split('(', 1) 

258 # split the argument list from an optional return annotation; 

259 # the argument list ends at the last right parens 

260 signature, _, return_annotation = rest.rpartition(')') 

261 func = None 

262 else: # a function 

263 name = None 

264 signature = None 

265 return_annotation = '' 

266 func = obj 

267 self = cls(func, name, signature, defaults, doc, module) 

268 self.return_annotation = return_annotation # e.g. " -> int" 

269 ibody = '\n'.join(' ' + line for line in body.splitlines()) 

270 caller = evaldict.get('_call_') # when called from `decorate` 

271 if caller and iscoroutinefunction(caller): 

272 body = ('async def %(name)s(%(signature)s)' 

273 '%(return_annotation)s:\n' + ibody) 

274 body = re.sub(r'\breturn\b', 'return await', body) 

275 else: 

276 body = ('def %(name)s(%(signature)s)' 

277 '%(return_annotation)s:\n' + ibody) 

278 return self.make(body, evaldict, addsource, **attrs) 

279 

280 

281def fix(args, kwargs, sig): 

282 """ 

283 Fix args and kwargs to be consistent with the signature 

284 """ 

285 ba = sig.bind(*args, **kwargs) 

286 ba.apply_defaults() # needed for test_dan_schult 

287 return ba.args, ba.kwargs 

288 

289 

290def decorate(func, caller, extras=(), kwsyntax=False): 

291 """ 

292 Decorates a function/generator/coroutine using a caller. 

293 If kwsyntax is True calling the decorated functions with keyword 

294 syntax will pass the named arguments inside the ``kw`` dictionary, 

295 even if such argument are positional, similarly to what functools.wraps 

296 does. By default kwsyntax is False and the the arguments are untouched. 

297 """ 

298 sig = inspect_sig(func) 

299 if isinstance(func, functools.partial): 

300 func = functools.update_wrapper(func, func.func) 

301 if iscoroutinefunction(caller): 

302 async def fun(*args, **kw): 

303 if not kwsyntax: 

304 args, kw = fix(args, kw, sig) 

305 return await caller(func, *(extras + args), **kw) 

306 elif isgeneratorfunction(caller): 

307 def fun(*args, **kw): 

308 if not kwsyntax: 

309 args, kw = fix(args, kw, sig) 

310 yield from caller(func, *(extras + args), **kw) 

311 else: 

312 def fun(*args, **kw): 

313 if not kwsyntax: 

314 args, kw = fix(args, kw, sig) 

315 return caller(func, *(extras + args), **kw) 

316 

317 fun.__doc__ = func.__doc__ 

318 fun.__wrapped__ = func 

319 fun.__signature__ = sig 

320 fun.__qualname__ = func.__qualname__ 

321 # builtin functions like defaultdict.__setitem__ lack many attributes 

322 try: 

323 fun.__defaults__ = func.__defaults__ 

324 except AttributeError: 

325 pass 

326 try: 

327 fun.__kwdefaults__ = func.__kwdefaults__ 

328 except AttributeError: 

329 pass 

330 try: 

331 fun.__annotations__ = func.__annotations__ 

332 except (AttributeError, NameError): 

333 pass 

334 try: 

335 fun.__module__ = func.__module__ 

336 except AttributeError: 

337 pass 

338 try: 

339 fun.__name__ = func.__name__ 

340 except AttributeError: # happens with old versions of numpy.vectorize 

341 func.__name__ == 'noname' 

342 try: 

343 fun.__dict__.update(func.__dict__) 

344 except AttributeError: 

345 pass 

346 return fun 

347 

348 

349def decoratorx(caller): 

350 """ 

351 A version of "decorator" implemented via "exec" and not via the 

352 Signature object. Use this if you are want to preserve the `.__code__` 

353 object properties (https://github.com/micheles/decorator/issues/129). 

354 """ 

355 def dec(func): 

356 return FunctionMaker.create( 

357 func, 

358 "return _call_(_func_, %(shortsignature)s)", 

359 dict(_call_=caller, _func_=func), 

360 __wrapped__=func, __qualname__=func.__qualname__) 

361 return dec 

362 

363 

364def decorator(caller, _func=None, kwsyntax=False): 

365 """ 

366 decorator(caller) converts a caller function into a decorator 

367 """ 

368 if _func is not None: # return a decorated function 

369 # this is obsolete behavior; you should use decorate instead 

370 return decorate(_func, caller, (), kwsyntax) 

371 # else return a decorator function 

372 sig = inspect_sig(caller) 

373 dec_params = [p for p in sig.parameters.values() if p.kind is POS] 

374 

375 def dec(func=None, *args, **kw): 

376 na = len(args) + 1 

377 extras = args + tuple(kw.get(p.name, p.default) 

378 for p in dec_params[na:] 

379 if p.default is not EMPTY) 

380 if func is None: 

381 return lambda func: decorate(func, caller, extras, kwsyntax) 

382 else: 

383 return decorate(func, caller, extras, kwsyntax) 

384 dec.__signature__ = sig.replace(parameters=dec_params) 

385 dec.__name__ = caller.__name__ 

386 dec.__doc__ = caller.__doc__ 

387 dec.__wrapped__ = caller 

388 dec.__qualname__ = caller.__qualname__ 

389 dec.__kwdefaults__ = getattr(caller, '__kwdefaults__', None) 

390 dec.__dict__.update(caller.__dict__) 

391 return dec 

392 

393 

394# ####################### contextmanager ####################### # 

395 

396 

397class ContextManager(_GeneratorContextManager): 

398 def __init__(self, g, *a, **k): 

399 _GeneratorContextManager.__init__(self, g, a, k) 

400 

401 def __call__(self, func): 

402 def caller(f, *a, **k): 

403 with self.__class__(self.func, *self.args, **self.kwds): 

404 return f(*a, **k) 

405 return decorate(func, caller) 

406 

407 

408_contextmanager = decorator(ContextManager) 

409 

410 

411def contextmanager(func): 

412 # Enable Pylint config: contextmanager-decorators=decorator.contextmanager 

413 return _contextmanager(func) 

414 

415 

416# ############################ dispatch_on ############################ # 

417 

418def append(a, vancestors): 

419 """ 

420 Append ``a`` to the list of the virtual ancestors, unless it is already 

421 included. 

422 """ 

423 add = True 

424 for j, va in enumerate(vancestors): 

425 if issubclass(va, a): 

426 add = False 

427 break 

428 if issubclass(a, va): 

429 vancestors[j] = a 

430 add = False 

431 if add: 

432 vancestors.append(a) 

433 

434 

435# inspired from simplegeneric by P.J. Eby and functools.singledispatch 

436def dispatch_on(*dispatch_args): 

437 """ 

438 Factory of decorators turning a function into a generic function 

439 dispatching on the given arguments. 

440 """ 

441 assert dispatch_args, 'No dispatch args passed' 

442 dispatch_str = '(%s,)' % ', '.join(dispatch_args) 

443 

444 def check(arguments, wrong=operator.ne, msg=''): 

445 """Make sure one passes the expected number of arguments""" 

446 if wrong(len(arguments), len(dispatch_args)): 

447 raise TypeError('Expected %d arguments, got %d%s' % 

448 (len(dispatch_args), len(arguments), msg)) 

449 

450 def gen_func_dec(func): 

451 """Decorator turning a function into a generic function""" 

452 

453 # first check the dispatch arguments 

454 argset = set(getfullargspec(func).args) 

455 if not set(dispatch_args) <= argset: 

456 raise NameError('Unknown dispatch arguments %s' % dispatch_str) 

457 

458 typemap = {} 

459 

460 def vancestors(*types): 

461 """ 

462 Get a list of sets of virtual ancestors for the given types 

463 """ 

464 check(types) 

465 ras = [[] for _ in range(len(dispatch_args))] 

466 for types_ in typemap: 

467 for t, type_, ra in zip(types, types_, ras): 

468 if issubclass(t, type_) and type_ not in t.mro(): 

469 append(type_, ra) 

470 return [set(ra) for ra in ras] 

471 

472 def ancestors(*types): 

473 """ 

474 Get a list of virtual MROs, one for each type 

475 """ 

476 check(types) 

477 lists = [] 

478 for t, vas in zip(types, vancestors(*types)): 

479 n_vas = len(vas) 

480 if n_vas > 1: 

481 raise RuntimeError( 

482 'Ambiguous dispatch for {}: {}'.format(t, vas)) 

483 elif n_vas == 1: 

484 va, = vas 

485 mro = type('t', (t, va), {}).mro()[1:] 

486 else: 

487 mro = t.mro() 

488 lists.append(mro[:-1]) # discard t and object 

489 return lists 

490 

491 def register(*types): 

492 """ 

493 Decorator to register an implementation for the given types 

494 """ 

495 check(types) 

496 

497 def dec(f): 

498 check(getfullargspec(f).args, operator.lt, ' in ' + f.__name__) 

499 typemap[types] = f 

500 return f 

501 return dec 

502 

503 def dispatch_info(*types): 

504 """ 

505 An utility to introspect the dispatch algorithm 

506 """ 

507 check(types) 

508 lst = [] 

509 for ancs in itertools.product(*ancestors(*types)): 

510 lst.append(tuple(a.__name__ for a in ancs)) 

511 return lst 

512 

513 def _dispatch(dispatch_args, *args, **kw): 

514 types = tuple(type(arg) for arg in dispatch_args) 

515 try: # fast path 

516 f = typemap[types] 

517 except KeyError: 

518 pass 

519 else: 

520 return f(*args, **kw) 

521 combinations = itertools.product(*ancestors(*types)) 

522 next(combinations) # the first one has been already tried 

523 for types_ in combinations: 

524 f = typemap.get(types_) 

525 if f is not None: 

526 return f(*args, **kw) 

527 

528 # else call the default implementation 

529 return func(*args, **kw) 

530 

531 return FunctionMaker.create( 

532 func, 'return _f_(%s, %%(shortsignature)s)' % dispatch_str, 

533 dict(_f_=_dispatch), register=register, default=func, 

534 typemap=typemap, vancestors=vancestors, ancestors=ancestors, 

535 dispatch_info=dispatch_info, __wrapped__=func) 

536 

537 gen_func_dec.__name__ = 'dispatch_on' + dispatch_str 

538 return gen_func_dec