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Failed

TEST RESULT

Run At
Mar 10 2021, 11:39 AM
Details
self = <hypothesis.core.StateForActualGivenExecution object at 0x7f87af33ad30> data = ConjectureData(INTERESTING, 29 bytes, frozen) def _execute_once_for_engine(self, data): """Wrapper around ``execute_once`` that intercepts test failure exceptions and single-test control exceptions, and turns them into appropriate method calls to `data` instead. This allows the engine to assume that any exception other than ``StopTest`` must be a fatal error, and should stop the entire engine. """ try: trace = frozenset() if ( self.failed_normally and Phase.explain in self.settings.phases and sys.gettrace() is None and not PYPY ): # pragma: no cover # This is in fact covered by our *non-coverage* tests, but due to the # settrace() contention *not* by our coverage tests. Ah well. tracer = Tracer() try: sys.settrace(tracer.trace) result = self.execute_once(data) if data.status == Status.VALID: self.explain_traces[None].add(frozenset(tracer.branches)) finally: sys.settrace(None) trace = frozenset(tracer.branches) else: > result = self.execute_once(data) .tox/py3/lib/python3.7/site-packages/hypothesis/core.py:683: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <hypothesis.core.StateForActualGivenExecution object at 0x7f87af33ad30> data = ConjectureData(INTERESTING, 29 bytes, frozen), print_example = False is_final = False, expected_failure = None def execute_once( self, data, print_example=False, is_final=False, expected_failure=None ): """Run the test function once, using ``data`` as input. If the test raises an exception, it will propagate through to the caller of this method. Depending on its type, this could represent an ordinary test failure, or a fatal error, or a control exception. If this method returns normally, the test might have passed, or it might have placed ``data`` in an unsuccessful state and then swallowed the corresponding control exception. """ data.is_find = self.is_find text_repr = [None] if self.settings.deadline is None: test = self.test else: @proxies(self.test) def test(*args, **kwargs): self.__test_runtime = None initial_draws = len(data.draw_times) start = time.perf_counter() result = self.test(*args, **kwargs) finish = time.perf_counter() internal_draw_time = sum(data.draw_times[initial_draws:]) runtime = datetime.timedelta( seconds=finish - start - internal_draw_time ) self.__test_runtime = runtime current_deadline = self.settings.deadline if not is_final: current_deadline = (current_deadline // 4) * 5 if runtime >= current_deadline: raise DeadlineExceeded(runtime, self.settings.deadline) return result def run(data): # Set up dynamic context needed by a single test run. with local_settings(self.settings): with deterministic_PRNG(): with BuildContext(data, is_final=is_final): # Generate all arguments to the test function. args, kwargs = data.draw(self.search_strategy) if expected_failure is not None: text_repr[0] = arg_string(test, args, kwargs) if print_example or current_verbosity() >= Verbosity.verbose: output = StringIO() printer = RepresentationPrinter(output) if print_example: printer.text("Falsifying example:") else: printer.text("Trying example:") if self.print_given_args: printer.text(" ") printer.text(test.__name__) with printer.group(indent=4, open="(", close=""): printer.break_() for v in args: printer.pretty(v) # We add a comma unconditionally because # generated arguments will always be kwargs, # so there will always be more to come. printer.text(",") printer.breakable() for i, (k, v) in enumerate(kwargs.items()): printer.text(k) printer.text("=") printer.pretty(v) printer.text(",") if i + 1 < len(kwargs): printer.breakable() printer.break_() printer.text(")") printer.flush() report(output.getvalue()) return test(*args, **kwargs) # Run the test function once, via the executor hook. # In most cases this will delegate straight to `run(data)`. > result = self.test_runner(data, run) .tox/py3/lib/python3.7/site-packages/hypothesis/core.py:619: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ data = ConjectureData(INTERESTING, 29 bytes, frozen) function = <function StateForActualGivenExecution.execute_once.<locals>.run at 0x7f87af0f19d8> def default_new_style_executor(data, function): > return function(data) .tox/py3/lib/python3.7/site-packages/hypothesis/executors.py:52: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ data = ConjectureData(INTERESTING, 29 bytes, frozen) def run(data): # Set up dynamic context needed by a single test run. with local_settings(self.settings): with deterministic_PRNG(): with BuildContext(data, is_final=is_final): # Generate all arguments to the test function. > args, kwargs = data.draw(self.search_strategy) .tox/py3/lib/python3.7/site-packages/hypothesis/core.py:578: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen) strategy = WithRunner(TupleStrategy((just(()), fixed_dictionaries({'new_origin': builds(dict, url=urls()).map(from_dict).filter(l...e).map(sorted)}).map(lambda args: dict(args, **kwargs)))), runner=<django.test.client.Client object at 0x7f87af33aa90>) label = 12316132609319002662 def draw(self, strategy, label=None): if self.is_find and not strategy.supports_find: raise InvalidArgument( ( "Cannot use strategy %r within a call to find (presumably " "because it would be invalid after the call had ended)." ) % (strategy,) ) at_top_level = self.depth == 0 if at_top_level: # We start this timer early, because accessing attributes on a LazyStrategy # can be almost arbitrarily slow. In cases like characters() and text() # where we cache something expensive, this led to Flaky deadline errors! # See https://github.com/HypothesisWorks/hypothesis/issues/2108 start_time = time.perf_counter() strategy.validate() if strategy.is_empty: self.mark_invalid() if self.depth >= MAX_DEPTH: self.mark_invalid() if label is None: label = strategy.label self.start_example(label=label) try: if not at_top_level: return strategy.do_draw(self) else: strategy.validate() try: > return strategy.do_draw(self) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:888: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = WithRunner(TupleStrategy((just(()), fixed_dictionaries({'new_origin': builds(dict, url=urls()).map(from_dict).filter(l...e).map(sorted)}).map(lambda args: dict(args, **kwargs)))), runner=<django.test.client.Client object at 0x7f87af33aa90>) data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data): data.hypothesis_runner = self.runner > return self.mapped_strategy.do_draw(data) .tox/py3/lib/python3.7/site-packages/hypothesis/core.py:223: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = TupleStrategy((just(()), fixed_dictionaries({'new_origin': builds(dict, url=urls()).map(from_dict).filter(lambda origi...0), timezones=timezones()), max_size=8, min_size=2, unique=True).map(sorted)}).map(lambda args: dict(args, **kwargs)))) data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data): > return tuple(data.draw(e) for e in self.element_strategies) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/collections.py:59: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ .0 = <tuple_iterator object at 0x7f87af2204e0> > return tuple(data.draw(e) for e in self.element_strategies) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/collections.py:59: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen) strategy = fixed_dictionaries({'new_origin': builds(dict, url=urls()).map(from_dict).filter(lambda origin: get_tests_data()["stor..., 0), timezones=timezones()), max_size=8, min_size=2, unique=True).map(sorted)}).map(lambda args: dict(args, **kwargs)) label = 10700208128082112041 def draw(self, strategy, label=None): if self.is_find and not strategy.supports_find: raise InvalidArgument( ( "Cannot use strategy %r within a call to find (presumably " "because it would be invalid after the call had ended)." ) % (strategy,) ) at_top_level = self.depth == 0 if at_top_level: # We start this timer early, because accessing attributes on a LazyStrategy # can be almost arbitrarily slow. In cases like characters() and text() # where we cache something expensive, this led to Flaky deadline errors! # See https://github.com/HypothesisWorks/hypothesis/issues/2108 start_time = time.perf_counter() strategy.validate() if strategy.is_empty: self.mark_invalid() if self.depth >= MAX_DEPTH: self.mark_invalid() if label is None: label = strategy.label self.start_example(label=label) try: if not at_top_level: > return strategy.do_draw(self) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:884: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = fixed_dictionaries({'new_origin': builds(dict, url=urls()).map(from_dict).filter(lambda origin: get_tests_data()["stor..., 0), timezones=timezones()), max_size=8, min_size=2, unique=True).map(sorted)}).map(lambda args: dict(args, **kwargs)) data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data: ConjectureData) -> Ex: for _ in range(3): i = data.index try: data.start_example(MAPPED_SEARCH_STRATEGY_DO_DRAW_LABEL) > result = self.pack(data.draw(self.mapped_strategy)) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/strategies.py:790: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen) strategy = fixed_dictionaries({'new_origin': builds(dict, url=urls()).map(from_dict).filter(lambda origin: get_tests_data()["stor...value=datetime.datetime(2018, 12, 31, 0, 0), timezones=timezones()), max_size=8, min_size=2, unique=True).map(sorted)}) label = 12000696373305623442 def draw(self, strategy, label=None): if self.is_find and not strategy.supports_find: raise InvalidArgument( ( "Cannot use strategy %r within a call to find (presumably " "because it would be invalid after the call had ended)." ) % (strategy,) ) at_top_level = self.depth == 0 if at_top_level: # We start this timer early, because accessing attributes on a LazyStrategy # can be almost arbitrarily slow. In cases like characters() and text() # where we cache something expensive, this led to Flaky deadline errors! # See https://github.com/HypothesisWorks/hypothesis/issues/2108 start_time = time.perf_counter() strategy.validate() if strategy.is_empty: self.mark_invalid() if self.depth >= MAX_DEPTH: self.mark_invalid() if label is None: label = strategy.label self.start_example(label=label) try: if not at_top_level: > return strategy.do_draw(self) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:884: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = fixed_dictionaries({'new_origin': builds(dict, url=urls()).map(from_dict).filter(lambda origin: get_tests_data()["stor...value=datetime.datetime(2018, 12, 31, 0, 0), timezones=timezones()), max_size=8, min_size=2, unique=True).map(sorted)}) data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data): > return data.draw(self.wrapped_strategy) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/lazy.py:168: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen) strategy = FixedKeysDictStrategy(('new_origin', 'new_snapshot', 'revisions', 'visit_dates'), TupleStrategy((builds(dict, url=urls...alue=datetime.datetime(2018, 12, 31, 0, 0), timezones=timezones()), max_size=8, min_size=2, unique=True).map(sorted)))) label = 12000696373305623442 def draw(self, strategy, label=None): if self.is_find and not strategy.supports_find: raise InvalidArgument( ( "Cannot use strategy %r within a call to find (presumably " "because it would be invalid after the call had ended)." ) % (strategy,) ) at_top_level = self.depth == 0 if at_top_level: # We start this timer early, because accessing attributes on a LazyStrategy # can be almost arbitrarily slow. In cases like characters() and text() # where we cache something expensive, this led to Flaky deadline errors! # See https://github.com/HypothesisWorks/hypothesis/issues/2108 start_time = time.perf_counter() strategy.validate() if strategy.is_empty: self.mark_invalid() if self.depth >= MAX_DEPTH: self.mark_invalid() if label is None: label = strategy.label self.start_example(label=label) try: if not at_top_level: > return strategy.do_draw(self) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:884: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = FixedKeysDictStrategy(('new_origin', 'new_snapshot', 'revisions', 'visit_dates'), TupleStrategy((builds(dict, url=urls...alue=datetime.datetime(2018, 12, 31, 0, 0), timezones=timezones()), max_size=8, min_size=2, unique=True).map(sorted)))) data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data: ConjectureData) -> Ex: for _ in range(3): i = data.index try: data.start_example(MAPPED_SEARCH_STRATEGY_DO_DRAW_LABEL) > result = self.pack(data.draw(self.mapped_strategy)) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/strategies.py:790: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen) strategy = TupleStrategy((builds(dict, url=urls()).map(from_dict).filter(lambda origin: get_tests_data()["storage"].origin_get([o...value=datetime.datetime(2018, 12, 31, 0, 0), timezones=timezones()), max_size=8, min_size=2, unique=True).map(sorted))) label = 18281766219730363439 def draw(self, strategy, label=None): if self.is_find and not strategy.supports_find: raise InvalidArgument( ( "Cannot use strategy %r within a call to find (presumably " "because it would be invalid after the call had ended)." ) % (strategy,) ) at_top_level = self.depth == 0 if at_top_level: # We start this timer early, because accessing attributes on a LazyStrategy # can be almost arbitrarily slow. In cases like characters() and text() # where we cache something expensive, this led to Flaky deadline errors! # See https://github.com/HypothesisWorks/hypothesis/issues/2108 start_time = time.perf_counter() strategy.validate() if strategy.is_empty: self.mark_invalid() if self.depth >= MAX_DEPTH: self.mark_invalid() if label is None: label = strategy.label self.start_example(label=label) try: if not at_top_level: > return strategy.do_draw(self) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:884: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = TupleStrategy((builds(dict, url=urls()).map(from_dict).filter(lambda origin: get_tests_data()["storage"].origin_get([o...value=datetime.datetime(2018, 12, 31, 0, 0), timezones=timezones()), max_size=8, min_size=2, unique=True).map(sorted))) data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data): > return tuple(data.draw(e) for e in self.element_strategies) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/collections.py:59: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ .0 = <tuple_iterator object at 0x7f87af2205f8> > return tuple(data.draw(e) for e in self.element_strategies) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/collections.py:59: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen) strategy = builds(dict, url=urls()).map(from_dict).filter(lambda origin: get_tests_data()["storage"].origin_get([origin.url])[0] is None) label = 10358930435738099914 def draw(self, strategy, label=None): if self.is_find and not strategy.supports_find: raise InvalidArgument( ( "Cannot use strategy %r within a call to find (presumably " "because it would be invalid after the call had ended)." ) % (strategy,) ) at_top_level = self.depth == 0 if at_top_level: # We start this timer early, because accessing attributes on a LazyStrategy # can be almost arbitrarily slow. In cases like characters() and text() # where we cache something expensive, this led to Flaky deadline errors! # See https://github.com/HypothesisWorks/hypothesis/issues/2108 start_time = time.perf_counter() strategy.validate() if strategy.is_empty: self.mark_invalid() if self.depth >= MAX_DEPTH: self.mark_invalid() if label is None: label = strategy.label self.start_example(label=label) try: if not at_top_level: > return strategy.do_draw(self) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:884: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = builds(dict, url=urls()).map(from_dict).filter(lambda origin: get_tests_data()["storage"].origin_get([origin.url])[0] is None) data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data: ConjectureData) -> Ex: result = self.filtered_strategy.do_filtered_draw( > data=data, filter_strategy=self ) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/strategies.py:897: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = builds(dict, url=urls()).map(from_dict) data = ConjectureData(INTERESTING, 29 bytes, frozen) filter_strategy = builds(dict, url=urls()).map(from_dict).filter(lambda origin: get_tests_data()["storage"].origin_get([origin.url])[0] is None) def do_filtered_draw(self, data, filter_strategy): # Hook for strategies that want to override the behaviour of # FilteredStrategy. Most strategies don't, so by default we delegate # straight back to the default filtered-draw implementation. > return filter_strategy.default_do_filtered_draw(data) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/strategies.py:362: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = builds(dict, url=urls()).map(from_dict).filter(lambda origin: get_tests_data()["storage"].origin_get([origin.url])[0] is None) data = ConjectureData(INTERESTING, 29 bytes, frozen) def default_do_filtered_draw(self, data): for i in range(3): start_index = data.index data.start_example(FILTERED_SEARCH_STRATEGY_DO_DRAW_LABEL) > value = data.draw(self.filtered_strategy) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/strategies.py:913: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen) strategy = builds(dict, url=urls()).map(from_dict), label = 10700208128082112041 def draw(self, strategy, label=None): if self.is_find and not strategy.supports_find: raise InvalidArgument( ( "Cannot use strategy %r within a call to find (presumably " "because it would be invalid after the call had ended)." ) % (strategy,) ) at_top_level = self.depth == 0 if at_top_level: # We start this timer early, because accessing attributes on a LazyStrategy # can be almost arbitrarily slow. In cases like characters() and text() # where we cache something expensive, this led to Flaky deadline errors! # See https://github.com/HypothesisWorks/hypothesis/issues/2108 start_time = time.perf_counter() strategy.validate() if strategy.is_empty: self.mark_invalid() if self.depth >= MAX_DEPTH: self.mark_invalid() if label is None: label = strategy.label self.start_example(label=label) try: if not at_top_level: > return strategy.do_draw(self) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:884: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = builds(dict, url=urls()).map(from_dict) data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data: ConjectureData) -> Ex: for _ in range(3): i = data.index try: data.start_example(MAPPED_SEARCH_STRATEGY_DO_DRAW_LABEL) > result = self.pack(data.draw(self.mapped_strategy)) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/strategies.py:790: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen) strategy = builds(dict, url=urls()), label = 6111981869288412008 def draw(self, strategy, label=None): if self.is_find and not strategy.supports_find: raise InvalidArgument( ( "Cannot use strategy %r within a call to find (presumably " "because it would be invalid after the call had ended)." ) % (strategy,) ) at_top_level = self.depth == 0 if at_top_level: # We start this timer early, because accessing attributes on a LazyStrategy # can be almost arbitrarily slow. In cases like characters() and text() # where we cache something expensive, this led to Flaky deadline errors! # See https://github.com/HypothesisWorks/hypothesis/issues/2108 start_time = time.perf_counter() strategy.validate() if strategy.is_empty: self.mark_invalid() if self.depth >= MAX_DEPTH: self.mark_invalid() if label is None: label = strategy.label self.start_example(label=label) try: if not at_top_level: > return strategy.do_draw(self) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:884: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = builds(dict, url=urls()) data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data): > return data.draw(self.wrapped_strategy) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/lazy.py:168: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen) strategy = <hypothesis.strategies._internal.core.BuildsStrategy object at 0x7f87af33a908> label = 6111981869288412008 def draw(self, strategy, label=None): if self.is_find and not strategy.supports_find: raise InvalidArgument( ( "Cannot use strategy %r within a call to find (presumably " "because it would be invalid after the call had ended)." ) % (strategy,) ) at_top_level = self.depth == 0 if at_top_level: # We start this timer early, because accessing attributes on a LazyStrategy # can be almost arbitrarily slow. In cases like characters() and text() # where we cache something expensive, this led to Flaky deadline errors! # See https://github.com/HypothesisWorks/hypothesis/issues/2108 start_time = time.perf_counter() strategy.validate() if strategy.is_empty: self.mark_invalid() if self.depth >= MAX_DEPTH: self.mark_invalid() if label is None: label = strategy.label self.start_example(label=label) try: if not at_top_level: > return strategy.do_draw(self) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:884: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <hypothesis.strategies._internal.core.BuildsStrategy object at 0x7f87af33a908> data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data): try: return self.target( *[data.draw(a) for a in self.args], > **{k: data.draw(v) for k, v in self.kwargs.items()}, ) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/core.py:756: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ .0 = <dict_itemiterator object at 0x7f87aeffaf48> > **{k: data.draw(v) for k, v in self.kwargs.items()}, ) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/core.py:756: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen) strategy = <hypothesis.strategies._internal.core.CompositeStrategy object at 0x7f87af33ac18> label = 1946211324807467550 def draw(self, strategy, label=None): if self.is_find and not strategy.supports_find: raise InvalidArgument( ( "Cannot use strategy %r within a call to find (presumably " "because it would be invalid after the call had ended)." ) % (strategy,) ) at_top_level = self.depth == 0 if at_top_level: # We start this timer early, because accessing attributes on a LazyStrategy # can be almost arbitrarily slow. In cases like characters() and text() # where we cache something expensive, this led to Flaky deadline errors! # See https://github.com/HypothesisWorks/hypothesis/issues/2108 start_time = time.perf_counter() strategy.validate() if strategy.is_empty: self.mark_invalid() if self.depth >= MAX_DEPTH: self.mark_invalid() if label is None: label = strategy.label self.start_example(label=label) try: if not at_top_level: > return strategy.do_draw(self) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:884: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <hypothesis.strategies._internal.core.CompositeStrategy object at 0x7f87af33ac18> data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data): > return self.definition(data.draw, *self.args, **self.kwargs) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/core.py:1367: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ draw = <bound method ConjectureData.draw of ConjectureData(INTERESTING, 29 bytes, frozen)> @composite def urls(draw): > protocol = draw(sampled_from(["git", "http", "https", "deb"])) .tox/py3/lib/python3.7/site-packages/swh/model/hypothesis_strategies.py:90: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen) strategy = sampled_from(['git', 'http', 'https', 'deb']) label = 2435039915453465539 def draw(self, strategy, label=None): if self.is_find and not strategy.supports_find: raise InvalidArgument( ( "Cannot use strategy %r within a call to find (presumably " "because it would be invalid after the call had ended)." ) % (strategy,) ) at_top_level = self.depth == 0 if at_top_level: # We start this timer early, because accessing attributes on a LazyStrategy # can be almost arbitrarily slow. In cases like characters() and text() # where we cache something expensive, this led to Flaky deadline errors! # See https://github.com/HypothesisWorks/hypothesis/issues/2108 start_time = time.perf_counter() strategy.validate() if strategy.is_empty: self.mark_invalid() if self.depth >= MAX_DEPTH: self.mark_invalid() if label is None: label = strategy.label self.start_example(label=label) try: if not at_top_level: > return strategy.do_draw(self) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:884: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = sampled_from(['git', 'http', 'https', 'deb']) data = ConjectureData(INTERESTING, 29 bytes, frozen) def do_draw(self, data): > result = self.do_filtered_draw(data, self) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/strategies.py:491: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = sampled_from(['git', 'http', 'https', 'deb']) data = ConjectureData(INTERESTING, 29 bytes, frozen) filter_strategy = sampled_from(['git', 'http', 'https', 'deb']) def do_filtered_draw(self, data, filter_strategy): # Set of indices that have been tried so far, so that we never test # the same element twice during a draw. known_bad_indices = set() # If we're being called via FilteredStrategy, the filter_strategy argument # might have additional conditions we have to fulfill. if isinstance(filter_strategy, FilteredStrategy): conditions = filter_strategy.flat_conditions else: conditions = () # Start with ordinary rejection sampling. It's fast if it works, and # if it doesn't work then it was only a small amount of overhead. for _ in range(3): > i = cu.integer_range(data, 0, len(self.elements) - 1) .tox/py3/lib/python3.7/site-packages/hypothesis/strategies/_internal/strategies.py:515: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ data = ConjectureData(INTERESTING, 29 bytes, frozen), lower = 0, upper = 3 center = 0 def integer_range(data, lower, upper, center=None): assert lower <= upper if lower == upper: # Write a value even when this is trivial so that when a bound depends # on other values we don't suddenly disappear when the gap shrinks to # zero - if that happens then often the data stream becomes misaligned # and we fail to shrink in cases where we really should be able to. data.draw_bits(1, forced=0) return int(lower) if center is None: center = lower center = min(max(center, lower), upper) if center == upper: above = False elif center == lower: above = True else: above = boolean(data) if above: gap = upper - center else: gap = center - lower assert gap > 0 bits = bit_length(gap) probe = gap + 1 if bits > 24 and data.draw_bits(3): # For large ranges, we combine the uniform random distribution from draw_bits # with the weighting scheme used by WideRangeIntStrategy with moderate chance. # Cutoff at 2 ** 24 so unicode choice is uniform but 32bit distribution is not. idx = Sampler([4.0, 8.0, 1.0, 1.0, 0.5]).sample(data) sizes = [8, 16, 32, 64, 128] bits = min(bits, sizes[idx]) while probe > gap: data.start_example(INTEGER_RANGE_DRAW_LABEL) > probe = data.draw_bits(bits) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/utils.py:101: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ConjectureData(INTERESTING, 29 bytes, frozen), n = 2 def draw_bits(self, n, *, forced=None): """Return an ``n``-bit integer from the underlying source of bytes. If ``forced`` is set to an integer will instead ignore the underlying source and simulate a draw as if it had returned that integer.""" self.__assert_not_frozen("draw_bits") if n == 0: return 0 assert n > 0 n_bytes = bits_to_bytes(n) self.__check_capacity(n_bytes) if forced is not None: buf = int_to_bytes(forced, n_bytes) elif self.__bytes_drawn < len(self.__prefix): index = self.__bytes_drawn buf = self.__prefix[index : index + n_bytes] if len(buf) < n_bytes: buf += uniform(self.__random, n_bytes - len(buf)) else: buf = uniform(self.__random, n_bytes) buf = bytearray(buf) self.__bytes_drawn += n_bytes assert len(buf) == n_bytes # If we have a number of bits that is not a multiple of 8 # we have to mask off the high bits. buf[0] &= BYTE_MASKS[n % 8] buf = bytes(buf) result = int_from_bytes(buf) > self.observer.draw_bits(n, forced is not None, result) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:1014: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <hypothesis.internal.conjecture.datatree.TreeRecordingObserver object at 0x7f87af220048> n_bits = 2, forced = False, value = 1 def draw_bits(self, n_bits, forced, value): i = self.__index_in_current_node self.__index_in_current_node += 1 node = self.__current_node assert len(node.bit_lengths) == len(node.values) if i < len(node.bit_lengths): if n_bits != node.bit_lengths[i]: > inconsistent_generation() .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/datatree.py:328: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def inconsistent_generation(): raise Flaky( > "Inconsistent data generation! Data generation behaved differently " "between different runs. Is your data generation depending on external " "state?" ) E hypothesis.errors.Flaky: Inconsistent data generation! Data generation behaved differently between different runs. Is your data generation depending on external state? .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/datatree.py:35: Flaky During handling of the above exception, another exception occurred: client = <django.test.client.Client object at 0x7f87af33aa90> archive_data = <swh.web.tests.conftest._ArchiveData object at 0x7f87b0e89f28> @given( > new_origin(), new_snapshot(min_size=4, max_size=4), visit_dates(), revisions(min_size=3, max_size=3), ) def test_origin_snapshot_null_branch( client, archive_data, new_origin, new_snapshot, visit_dates, revisions ): .tox/py3/lib/python3.7/site-packages/swh/web/tests/browse/views/test_origin.py:440: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ .tox/py3/lib/python3.7/site-packages/hypothesis/core.py:735: in _execute_once_for_engine data.mark_interesting(interesting_origin) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:1056: in mark_interesting self.conclude_test(Status.INTERESTING, interesting_origin) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:1052: in conclude_test self.freeze() .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/data.py:980: in freeze self.observer.conclude_test(self.status, self.interesting_origin) .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/datatree.py:399: in conclude_test inconsistent_generation() _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def inconsistent_generation(): raise Flaky( > "Inconsistent data generation! Data generation behaved differently " "between different runs. Is your data generation depending on external " "state?" ) E hypothesis.errors.Flaky: Inconsistent data generation! Data generation behaved differently between different runs. Is your data generation depending on external state? .tox/py3/lib/python3.7/site-packages/hypothesis/internal/conjecture/datatree.py:35: Flaky