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1# This file is part of Hypothesis, which may be found at 

2# https://github.com/HypothesisWorks/hypothesis/ 

3# 

4# Copyright the Hypothesis Authors. 

5# Individual contributors are listed in AUTHORS.rst and the git log. 

6# 

7# This Source Code Form is subject to the terms of the Mozilla Public License, 

8# v. 2.0. If a copy of the MPL was not distributed with this file, You can 

9# obtain one at https://mozilla.org/MPL/2.0/. 

10 

11from datetime import timedelta 

12from typing import Any, Literal, Optional 

13 

14from hypothesis.internal.compat import ExceptionGroup 

15 

16 

17class HypothesisException(Exception): 

18 """Generic parent class for exceptions thrown by Hypothesis.""" 

19 

20 

21class _Trimmable(HypothesisException): 

22 """Hypothesis can trim these tracebacks even if they're raised internally.""" 

23 

24 

25class UnsatisfiedAssumption(HypothesisException): 

26 """An internal error raised by assume. 

27 

28 If you're seeing this error something has gone wrong. 

29 """ 

30 

31 def __init__(self, reason: Optional[str] = None) -> None: 

32 self.reason = reason 

33 

34 

35class NoSuchExample(HypothesisException): 

36 """The condition we have been asked to satisfy appears to be always false. 

37 

38 This does not guarantee that no example exists, only that we were 

39 unable to find one. 

40 """ 

41 

42 def __init__(self, condition_string: str, extra: str = "") -> None: 

43 super().__init__(f"No examples found of condition {condition_string}{extra}") 

44 

45 

46class Unsatisfiable(_Trimmable): 

47 """We ran out of time or examples before we could find enough examples 

48 which satisfy the assumptions of this hypothesis. 

49 

50 This could be because the function is too slow. If so, try upping 

51 the timeout. It could also be because the function is using assume 

52 in a way that is too hard to satisfy. If so, try writing a custom 

53 strategy or using a better starting point (e.g if you are requiring 

54 a list has unique values you could instead filter out all duplicate 

55 values from the list) 

56 """ 

57 

58 

59class ChoiceTooLarge(HypothesisException): 

60 """An internal error raised by choice_from_index.""" 

61 

62 

63class Flaky(_Trimmable): 

64 """ 

65 Base class for indeterministic failures. Usually one of the more 

66 specific subclasses (|FlakyFailure| or |FlakyStrategyDefinition|) is raised. 

67 

68 .. seealso:: 

69 

70 See also the :doc:`flaky failures tutorial </tutorial/flaky>`. 

71 """ 

72 

73 

74class FlakyReplay(Flaky): 

75 """Internal error raised by the conjecture engine if flaky failures are 

76 detected during replay. 

77 

78 Carries information allowing the runner to reconstruct the flakiness as 

79 a FlakyFailure exception group for final presentation. 

80 """ 

81 

82 def __init__(self, reason, interesting_origins=None): 

83 super().__init__(reason) 

84 self.reason = reason 

85 self._interesting_origins = interesting_origins 

86 

87 

88class FlakyStrategyDefinition(Flaky): 

89 """ 

90 This function appears to cause inconsistent data generation. 

91 

92 Common causes for this problem are: 

93 1. The strategy depends on external state. e.g. it uses an external 

94 random number generator. Try to make a version that passes all the 

95 relevant state in from Hypothesis. 

96 

97 .. seealso:: 

98 

99 See also the :doc:`flaky failures tutorial </tutorial/flaky>`. 

100 """ 

101 

102 

103class _WrappedBaseException(Exception): 

104 """Used internally for wrapping BaseExceptions as components of FlakyFailure.""" 

105 

106 

107class FlakyFailure(ExceptionGroup, Flaky): 

108 """ 

109 This function appears to fail non-deterministically: We have seen it 

110 fail when passed this example at least once, but a subsequent invocation 

111 did not fail, or caused a distinct error. 

112 

113 Common causes for this problem are: 

114 1. The function depends on external state. e.g. it uses an external 

115 random number generator. Try to make a version that passes all the 

116 relevant state in from Hypothesis. 

117 2. The function is suffering from too much recursion and its failure 

118 depends sensitively on where it's been called from. 

119 3. The function is timing sensitive and can fail or pass depending on 

120 how long it takes. Try breaking it up into smaller functions which 

121 don't do that and testing those instead. 

122 

123 .. seealso:: 

124 

125 See also the :doc:`flaky failures tutorial </tutorial/flaky>`. 

126 """ 

127 

128 def __new__(cls, msg, group): 

129 # The Exception mixin forces this an ExceptionGroup (only accepting 

130 # Exceptions, not BaseException). Usually BaseException is raised 

131 # directly and will hence not be part of a FlakyFailure, but I'm not 

132 # sure this assumption holds everywhere. So wrap any BaseExceptions. 

133 group = list(group) 

134 for i, exc in enumerate(group): 

135 if not isinstance(exc, Exception): 

136 err = _WrappedBaseException() 

137 err.__cause__ = err.__context__ = exc 

138 group[i] = err 

139 return ExceptionGroup.__new__(cls, msg, group) 

140 

141 # defining `derive` is required for `split` to return an instance of FlakyFailure 

142 # instead of ExceptionGroup. See https://github.com/python/cpython/issues/119287 

143 # and https://docs.python.org/3/library/exceptions.html#BaseExceptionGroup.derive 

144 def derive(self, excs): 

145 return type(self)(self.message, excs) 

146 

147 

148class FlakyBackendFailure(FlakyFailure): 

149 """ 

150 A failure was reported by an |alternative backend|, 

151 but this failure did not reproduce when replayed under the Hypothesis backend. 

152 

153 When an alternative backend reports a failure, Hypothesis first replays it 

154 under the standard Hypothesis backend to check for flakiness. If the failure 

155 does not reproduce, Hypothesis raises this exception. 

156 """ 

157 

158 

159class InvalidArgument(_Trimmable, TypeError): 

160 """Used to indicate that the arguments to a Hypothesis function were in 

161 some manner incorrect.""" 

162 

163 

164class ResolutionFailed(InvalidArgument): 

165 """Hypothesis had to resolve a type to a strategy, but this failed. 

166 

167 Type inference is best-effort, so this only happens when an 

168 annotation exists but could not be resolved for a required argument 

169 to the target of ``builds()``, or where the user passed ``...``. 

170 """ 

171 

172 

173class InvalidState(HypothesisException): 

174 """The system is not in a state where you were allowed to do that.""" 

175 

176 

177class InvalidDefinition(_Trimmable, TypeError): 

178 """Used to indicate that a class definition was not well put together and 

179 has something wrong with it.""" 

180 

181 

182class HypothesisWarning(HypothesisException, Warning): 

183 """A generic warning issued by Hypothesis.""" 

184 

185 

186class FailedHealthCheck(_Trimmable): 

187 """Raised when a test fails a health check. See |HealthCheck|.""" 

188 

189 

190class NonInteractiveExampleWarning(HypothesisWarning): 

191 """SearchStrategy.example() is designed for interactive use, 

192 but should never be used in the body of a test. 

193 """ 

194 

195 

196class HypothesisDeprecationWarning(HypothesisWarning, FutureWarning): 

197 """A deprecation warning issued by Hypothesis. 

198 

199 Actually inherits from FutureWarning, because DeprecationWarning is 

200 hidden by the default warnings filter. 

201 

202 You can configure the :mod:`python:warnings` module to handle these 

203 warnings differently to others, either turning them into errors or 

204 suppressing them entirely. Obviously we would prefer the former! 

205 """ 

206 

207 

208class HypothesisSideeffectWarning(HypothesisWarning): 

209 """A warning issued by Hypothesis when it sees actions that are 

210 discouraged at import or initialization time because they are 

211 slow or have user-visible side effects. 

212 """ 

213 

214 

215class Frozen(HypothesisException): 

216 """Raised when a mutation method has been called on a ConjectureData object 

217 after freeze() has been called.""" 

218 

219 

220def __getattr__(name: str) -> Any: 

221 if name == "MultipleFailures": 

222 from hypothesis._settings import note_deprecation 

223 from hypothesis.internal.compat import BaseExceptionGroup 

224 

225 note_deprecation( 

226 "MultipleFailures is deprecated; use the builtin `BaseExceptionGroup` type " 

227 "instead, or `exceptiongroup.BaseExceptionGroup` before Python 3.11", 

228 since="2022-08-02", 

229 has_codemod=False, # This would be a great PR though! 

230 stacklevel=1, 

231 ) 

232 return BaseExceptionGroup 

233 

234 raise AttributeError(f"Module 'hypothesis.errors' has no attribute {name}") 

235 

236 

237class DeadlineExceeded(_Trimmable): 

238 """ 

239 Raised when an input takes too long to run, relative to the |settings.deadline| 

240 setting. 

241 """ 

242 

243 def __init__(self, runtime: timedelta, deadline: timedelta) -> None: 

244 super().__init__( 

245 f"Test took {runtime.total_seconds() * 1000:.2f}ms, which exceeds " 

246 f"the deadline of {deadline.total_seconds() * 1000:.2f}ms. If you " 

247 "expect test cases to take this long, you can use @settings(deadline=...) " 

248 "to either set a higher deadline, or to disable it with deadline=None." 

249 ) 

250 self.runtime = runtime 

251 self.deadline = deadline 

252 

253 def __reduce__( 

254 self, 

255 ) -> tuple[type["DeadlineExceeded"], tuple[timedelta, timedelta]]: 

256 return (type(self), (self.runtime, self.deadline)) 

257 

258 

259class StopTest(BaseException): 

260 """Raised when a test should stop running and return control to 

261 the Hypothesis engine, which should then continue normally. 

262 """ 

263 

264 def __init__(self, testcounter: int) -> None: 

265 super().__init__(repr(testcounter)) 

266 self.testcounter = testcounter 

267 

268 

269class DidNotReproduce(HypothesisException): 

270 pass 

271 

272 

273class Found(HypothesisException): 

274 """Signal that the example matches condition. Internal use only.""" 

275 

276 

277class RewindRecursive(Exception): 

278 """Signal that the type inference should be rewound due to recursive types. Internal use only.""" 

279 

280 def __init__(self, target: object) -> None: 

281 self.target = target 

282 

283 

284class SmallSearchSpaceWarning(HypothesisWarning): 

285 """Indicates that an inferred strategy does not span the search space 

286 in a meaningful way, for example by only creating default instances.""" 

287 

288 

289CannotProceedScopeT = Literal["verified", "exhausted", "discard_test_case", "other"] 

290 

291 

292class BackendCannotProceed(HypothesisException): 

293 """ 

294 Raised by alternative backends when a |PrimitiveProvider| cannot proceed. 

295 This is expected to occur inside one of the ``.draw_*()`` methods, or for 

296 symbolic execution perhaps in |PrimitiveProvider.realize|. 

297 

298 The optional ``scope`` argument can enable smarter integration: 

299 

300 verified: 

301 Do not request further test cases from this backend. We *may* 

302 generate more test cases with other backends; if one fails then 

303 Hypothesis will report unsound verification in the backend too. 

304 

305 exhausted: 

306 Do not request further test cases from this backend; finish testing 

307 with test cases generated with the default backend. Common if e.g. 

308 native code blocks symbolic reasoning very early. 

309 

310 discard_test_case: 

311 This particular test case could not be converted to concrete values; 

312 skip any further processing and continue with another test case from 

313 this backend. 

314 """ 

315 

316 def __init__(self, scope: CannotProceedScopeT = "other", /) -> None: 

317 self.scope = scope