def define_decimal_strategy(specifier, settings):
return (
strategy(float, settings).map(specifier) |
strategy(Fraction, settings).map(
lambda f: specifier(f.numerator) / f.denominator
)
)
def define_decimal_strategy(specifier, settings):
return (
strategy(float, settings).map(specifier) |
strategy(Fraction, settings).map(
lambda f: specifier(f.numerator) / f.denominator
)
)
def test_tuple_strategy_too_large_to_fit():
x = frozenset({specifiers.integers_in_range(0, 30)})
assert not math.isinf(strategy(x).size_lower_bound)
for _ in hrange(8):
x = (x, x)
assert math.isinf(
strategy((int, x)).size_lower_bound)
def __init__(self, specifier, settings):
self.specifier = specifier
self.leaf_strategy = strategy(specifier.leaf_values, settings)
self.branch_key_strategy = strategy(specifier.branch_keys, settings)
self.branch_label_strategy = strategy(specifier.branch_labels,
settings)
self.child_strategy = (lists(tuples(self.branch_key_strategy, self)))
def __init__(self, specifier, settings):
self.specifier = specifier
self.leaf_strategy = strategy(specifier.leaf_values, settings)
self.branch_key_strategy = strategy(
specifier.branch_keys, settings)
self.branch_label_strategy = strategy(
specifier.branch_labels, settings)
self.child_strategy = (
lists(tuples(self.branch_key_strategy, self)))
def define_strategy_for_float_Range(specifier, settings):
if math.isinf(specifier.end - specifier.start):
assert specifier.start < 0 and specifier.end > 0
return strategy(
specifiers.FloatRange(0, specifier.end), settings
) | strategy(
specifiers.FloatRange(specifier.start, 0), settings
)
return FixedBoundedFloatStrategy(specifier.start, specifier.end)
def define_strategy_for_float_Range(specifier, settings):
if math.isinf(specifier.end - specifier.start):
assert specifier.start < 0 and specifier.end > 0
return strategy(
specifiers.FloatRange(0, specifier.end), settings
) | strategy(
specifiers.FloatRange(specifier.start, 0), settings
)
return FixedBoundedFloatStrategy(specifier.start, specifier.end)
def test_strategy_for_integer_range_produces_only_integers_in_that_range():
just_one_integer = strategy(specifiers.IntegerRange(1, 1))
for _ in hrange(100):
pv = just_one_integer.draw_parameter(random)
x = just_one_integer.produce_template(BuildContext(random), pv)
assert x == 1
some_integers = strategy(specifiers.IntegerRange(1, 10))
for _ in hrange(100):
pv = some_integers.produce_parameter(random)
x = some_integers.produce_template(BuildContext(random), pv)
assert 1 <= x <= 10
def define_list_strategy(specifier, settings):
if len(specifier) == 1:
elt = strategy(specifier[0], settings)
from hypothesis.searchstrategy.numbers import IntegersFromStrategy
if elt.size_upper_bound == 1:
return SingleElementListStrategy(
elt,
IntegersFromStrategy(
0, average_size=settings.average_list_length))
return ListStrategy(
[strategy(d, settings) for d in specifier],
average_length=settings.average_list_length
)
def test_errors_if_you_mark_bad_before_fetching():
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
)
with pytest.raises(ValueError):
source.mark_bad()
def test_errors_if_you_mark_bad_before_fetching():
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
)
with pytest.raises(ValueError):
source.mark_bad()
def test_just_strategy_uses_repr():
class WeirdRepr(object):
def __repr__(self):
return 'ABCDEFG'
assert repr(strategy(specifiers.just(
WeirdRepr()))) == 'JustStrategy(value=%r)' % (WeirdRepr(), )
def find(specifier, condition, settings=None, random=None):
settings = settings or Settings(
max_examples=2000,
min_satisfying_examples=0,
)
search = strategy(specifier, settings)
random = random or Random()
def template_condition(template):
return assume(condition(search.reify(template)))
template_condition.__name__ = condition.__name__
tracker = Tracker()
try:
return search.reify(
best_satisfying_template(
search,
random,
template_condition,
settings,
None,
tracker=tracker,
))
except NoSuchExample:
if search.size_upper_bound <= len(tracker):
raise DefinitelyNoSuchExample(
get_pretty_function_description(condition),
search.size_upper_bound,
)
raise NoSuchExample(get_pretty_function_description(condition))
def find(specifier, condition, settings=None, random=None, storage=None):
settings = settings or Settings(
max_examples=2000,
min_satisfying_examples=0,
max_shrinks=2000,
)
search = strategy(specifier, settings)
if storage is None and settings.database is not None:
storage = settings.database.storage(
u'find(%s)' %
(binascii.hexlify(function_digest(condition)).decode(u'ascii'), ))
random = random or Random()
successful_examples = [0]
def template_condition(template):
with BuildContext():
result = search.reify(template)
success = condition(result)
if success:
successful_examples[0] += 1
if not successful_examples[0]:
verbose_report(lambda: u'Trying example %s' % (repr(result), ))
elif success:
if successful_examples[0] == 1:
verbose_report(lambda: u'Found satisfying example %s' %
(repr(result), ))
else:
verbose_report(lambda: u'Shrunk example to %s' %
(repr(result), ))
return success
template_condition.__name__ = condition.__name__
tracker = Tracker()
try:
template = best_satisfying_template(
search,
random,
template_condition,
settings,
tracker=tracker,
max_parameter_tries=2,
storage=storage,
)
with BuildContext():
return search.reify(template)
except Timeout:
raise
except NoSuchExample:
if search.template_upper_bound <= len(tracker):
raise DefinitelyNoSuchExample(
get_pretty_function_description(condition),
search.template_upper_bound,
)
raise NoSuchExample(get_pretty_function_description(condition))
def find(specifier, condition, settings=None, random=None):
settings = settings or Settings(
max_examples=2000,
min_satisfying_examples=0,
)
search = strategy(specifier, settings)
random = random or Random()
def template_condition(template):
return assume(condition(search.reify(template)))
template_condition.__name__ = condition.__name__
tracker = Tracker()
try:
return search.reify(best_satisfying_template(
search, random, template_condition, settings, None,
tracker=tracker,
))
except NoSuchExample:
if search.size_upper_bound <= len(tracker):
raise DefinitelyNoSuchExample(
get_pretty_function_description(condition),
search.size_upper_bound,
)
raise NoSuchExample(get_pretty_function_description(condition))
def test_random_only_produces_special_random():
st = strategy(random.Random)
assert isinstance(
st.reify(st.produce_template(
BuildContext(random), st.draw_parameter(random))),
RandomWithSeed
)
def find(specifier, condition, settings=None, random=None, storage=None):
settings = settings or Settings(
max_examples=2000,
min_satisfying_examples=0,
max_shrinks=2000,
)
search = strategy(specifier, settings)
if storage is None and settings.database is not None:
storage = settings.database.storage(
'find(%s)' % (
binascii.hexlify(function_digest(condition)).decode('ascii'),
)
)
random = random or Random()
successful_examples = [0]
def template_condition(template):
result = search.reify(template)
success = condition(result)
if success:
successful_examples[0] += 1
if not successful_examples[0]:
verbose_report(lambda: 'Trying example %s' % (
repr(result),
))
elif success:
if successful_examples[0] == 1:
verbose_report(lambda: 'Found satisfying example %s' % (
repr(result),
))
else:
verbose_report(lambda: 'Shrunk example to %s' % (
repr(result),
))
return success
template_condition.__name__ = condition.__name__
tracker = Tracker()
try:
return search.reify(best_satisfying_template(
search, random, template_condition, settings,
tracker=tracker, max_parameter_tries=2,
storage=storage,
))
except Timeout:
raise
except NoSuchExample:
if search.template_upper_bound <= len(tracker):
raise DefinitelyNoSuchExample(
get_pretty_function_description(condition),
search.template_upper_bound,
)
raise NoSuchExample(get_pretty_function_description(condition))
def __init__(self, settings):
super(DescriptorStrategy, self).__init__(strategy=strategy(
NAryTree(branch_labels=sampled_from((tuple, dict, set, frozenset,
list)),
branch_keys=one_of((int, str)),
leaf_values=sampled_from((int, float, text_type,
binary_type, bool, complex,
type(None)))), settings))
def test_just_strategy_uses_repr():
class WeirdRepr(object):
def __repr__(self):
return 'ABCDEFG'
assert repr(
strategy(specifiers.just(WeirdRepr()))
) == 'JustStrategy(value=%r)' % (WeirdRepr(),)
def test_errors_if_you_mark_bad_twice():
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
)
next(iter(source))
source.mark_bad()
with pytest.raises(ValueError):
source.mark_bad()
def storage_for(self, specifier, search_strategy=None):
"""Get a storage object corresponding to this specifier."""
return Storage(
specifier=specifier,
database=self,
backend=self.backend,
format=self.format,
strategy=search_strategy or strategy(specifier),
)
def test_errors_if_you_mark_bad_twice():
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
)
next(iter(source))
source.mark_bad()
with pytest.raises(ValueError):
source.mark_bad()
def storage_for(self, specifier, search_strategy=None):
"""Get a storage object corresponding to this specifier."""
return Storage(
specifier=specifier,
database=self,
backend=self.backend,
format=self.format,
strategy=search_strategy or strategy(specifier),
)
def test_named_tuples_always_produce_named_tuples():
s = strategy(Litter(int, int))
for i in hrange(100):
assert isinstance(
s.produce_template(BuildContext(random),
s.produce_parameter(random)), Litter)
for x in s.simplify(Litter(100, 100)):
assert isinstance(x, Litter)
def test_named_tuples_always_produce_named_tuples():
s = strategy(Litter(int, int))
for i in hrange(100):
assert isinstance(
s.produce_template(
BuildContext(random), s.produce_parameter(random)), Litter)
for x in s.simplify(Litter(100, 100)):
assert isinstance(x, Litter)
def test_can_perform_all_basic_operations(specifier, random):
strat = strategy(specifier, settings)
parameter = strat.draw_parameter(random)
template = strat.produce_template(BuildContext(random), parameter)
assert (strat.to_basic(template) == strat.to_basic(
strat.from_basic(strat.to_basic(template))))
minimal_template = last(strat.simplify_such_that(template, lambda x: True))
strat.reify(minimal_template)
assert (strat.to_basic(minimal_template) == strat.to_basic(
strat.from_basic(strat.to_basic(minimal_template))))
def define_float_strategy(specifier, settings):
return WrapperFloatStrategy(
GaussianFloatStrategy() |
BoundedFloatStrategy() |
ExponentialFloatStrategy() |
JustIntFloats(strategy(int)) |
NastyFloats() |
NastyFloats() |
FullRangeFloats() |
SmallFloats()
)
def define_float_strategy(specifier, settings):
return WrapperFloatStrategy(
GaussianFloatStrategy() |
BoundedFloatStrategy() |
ExponentialFloatStrategy() |
JustIntFloats(strategy(int)) |
NastyFloats() |
NastyFloats() |
FullRangeFloats() |
SmallFloats()
)
def test_caps_number_of_parameters_tried():
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(bool),
max_tries=1,
)
for p in islice(source, 200):
pass
assert all(t <= 1 for t in source.counts)
def __init__(self, settings):
super(DescriptorStrategy, self).__init__(
strategy=strategy(NAryTree(
branch_labels=sampled_from((
tuple, dict, set, frozenset, list
)),
branch_keys=one_of((int, str)),
leaf_values=sampled_from((
int, float, text_type, binary_type,
bool, complex, type(None)))
), settings)
)
def define_rule(cls, targets, function, arguments):
converted_arguments = {}
for k, v in arguments.items():
if not isinstance(v, Bundle):
v = strategy(v)
converted_arguments[k] = v
if cls in cls._rules_per_class:
target = cls._rules_per_class[cls]
else:
target = cls._base_rules_per_class.setdefault(cls, [])
return target.append(Rule(targets, function, converted_arguments))
def test_tries_each_parameter_at_least_min_index_times():
source = ParameterSource(context=BuildContext(random.Random()),
strategy=strategy(int),
min_tries=5)
i = 0
for x in source.examples():
i += 1
if i > 500:
break
if i % 2:
source.mark_bad()
# The last index may not have been fully populated
assert all(c >= 5 for c in source.counts[:-1])
def test_strategy_for_integer_range_can_produce_end_points():
some_integers = strategy(specifiers.IntegerRange(1, 10))
found = set()
for _ in hrange(1000): # pragma: no branch
pv = some_integers.produce_parameter(random)
x = some_integers.produce_template(BuildContext(random), pv)
found.add(x)
if 1 in found and 10 in found:
break
else:
assert False # pragma: no cover
assert 1 in found
assert 10 in found
def test_negative_is_not_too_far_off_mean():
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
)
positive = 0
i = 0
for example in source.examples():
if example >= 0:
positive += 1
i += 1
if i >= N_EXAMPLES:
break
assert 0.3 <= float(positive) / N_EXAMPLES <= 0.7
def storage_for(self, specifier):
"""Get a storage object corresponding to this specifier.
Will cache the result so that x.storage_for(d) is
x.storage_for(d). You can rely on that behaviour.
"""
return Storage(
specifier=specifier,
database=self,
backend=self.backend,
format=self.format,
strategy=strategy(specifier),
)
def find(specifier, condition, settings=None, random=None):
settings = settings or Settings(
max_examples=2000,
min_satisfying_examples=0,
max_shrinks=2000,
)
search = strategy(specifier, settings)
random = random or Random()
successful_examples = [0]
def template_condition(template):
result = search.reify(template)
success = condition(result)
if success:
successful_examples[0] += 1
if not successful_examples[0]:
verbose_report(lambda: 'Trying example %s' % (
show(result),
))
elif success:
if successful_examples[0] == 1:
verbose_report(lambda: 'Found satisfying example %s' % (
show(result),
))
else:
verbose_report(lambda: 'Shrunk example to %s' % (
show(result),
))
return success
template_condition.__name__ = condition.__name__
tracker = Tracker()
try:
return search.reify(best_satisfying_template(
search, random, template_condition, settings, None,
tracker=tracker, max_parameter_tries=2,
))
except Timeout:
raise
except (NoSuchExample, Unsatisfiable):
if search.size_upper_bound <= len(tracker):
raise DefinitelyNoSuchExample(
get_pretty_function_description(condition),
search.size_upper_bound,
)
raise NoSuchExample(get_pretty_function_description(condition))
def define_rule(cls, targets, function, arguments):
converted_arguments = {}
for k, v in arguments.items():
if not isinstance(v, Bundle):
v = strategy(v)
converted_arguments[k] = v
if cls in cls._rules_per_class:
target = cls._rules_per_class[cls]
else:
target = cls._base_rules_per_class.setdefault(cls, [])
return target.append(
Rule(targets, function, converted_arguments)
)
def test_negative_is_not_too_far_off_mean():
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
)
positive = 0
i = 0
for example in source.examples():
if example >= 0:
positive += 1
i += 1
if i >= N_EXAMPLES:
break
assert 0.3 <= float(positive) / N_EXAMPLES <= 0.7
def storage_for(self, specifier):
"""Get a storage object corresponding to this specifier.
Will cache the result so that x.storage_for(d) is
x.storage_for(d). You can rely on that behaviour.
"""
return Storage(
specifier=specifier,
database=self,
backend=self.backend,
format=self.format,
strategy=strategy(specifier),
)
def test_tries_each_parameter_at_least_min_index_times():
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
min_tries=5
)
i = 0
for x in source.examples():
i += 1
if i > 500:
break
if i % 2:
source.mark_bad()
# The last index may not have been fully populated
assert all(c >= 5 for c in source.counts[:-1])
def find(specifier, condition, settings=None, random=None):
settings = settings or Settings(
max_examples=2000,
min_satisfying_examples=0,
)
search = strategy(specifier, settings)
random = random or Random()
successful_examples = [0]
def template_condition(template):
result = search.reify(template)
success = condition(result)
if success:
successful_examples[0] += 1
if not successful_examples[0]:
verbose_report(lambda: 'Trying example %s' % (show(result), ))
elif success:
if successful_examples[0] == 1:
verbose_report(lambda: 'Found satisfying example %s' %
(show(result), ))
else:
verbose_report(lambda: 'Shrunk example to %s' %
(show(result), ))
return assume(success)
template_condition.__name__ = condition.__name__
tracker = Tracker()
try:
return search.reify(
best_satisfying_template(
search,
random,
template_condition,
settings,
None,
tracker=tracker,
))
except NoSuchExample:
if search.size_upper_bound <= len(tracker):
raise DefinitelyNoSuchExample(
get_pretty_function_description(condition),
search.size_upper_bound,
)
raise NoSuchExample(get_pretty_function_description(condition))
def test_marking_negative_avoids_similar_examples():
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
)
positive = 0
i = 0
for example in source.examples():
if example >= 0:
positive += 1
else:
source.mark_bad()
i += 1
if i >= N_EXAMPLES:
break
assert float(positive) / N_EXAMPLES >= 0.8
def test_culls_valid_parameters_if_lots_are_bad():
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
min_tries=5
)
for _ in islice(source, 200):
source.mark_bad()
for i in hrange(len(source.parameters)):
assert source.counts[i] >= source.bad_counts[i]
for i in hrange(len(source.parameters)):
assert source.counts[i] == source.bad_counts[i]
assert len(source.valid_parameters) <= 1
def test_marking_negative_avoids_similar_examples():
positive = 0
k = 10
for _ in hrange(k):
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
)
n = N_EXAMPLES // k
for example in islice(source.examples(), n):
if example >= 0:
positive += 1
else:
source.mark_bad()
assert float(positive) / N_EXAMPLES >= 0.7
def test_marking_negative_avoids_similar_examples():
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
)
positive = 0
i = 0
for example in source.examples():
if example >= 0:
positive += 1
else:
source.mark_bad()
i += 1
if i >= N_EXAMPLES:
break
assert float(positive) / N_EXAMPLES >= 0.8
def run_test():
if condition is None:
_condition = lambda x: True
condition_string = ''
else:
_condition = condition
condition_string = strip_lambda(
reflection.get_pretty_function_description(condition))
count = 0
successful_runs = 0
s = strategy(specifier)
for _ in hrange(MAX_RUNS):
pv = s.draw_parameter(random)
try:
x = s.reify(s.draw_template(random, pv))
except UnsatisfiedAssumption:
continue
if not _condition(x):
continue
successful_runs += 1
if predicate(x):
count += 1
if successful_runs < MIN_RUNS:
raise ConditionTooHard((
'Unable to find enough examples satisfying predicate %s '
'only found %d but required at least %d for validity'
) % (
condition_string, successful_runs, MIN_RUNS
))
result = Result(
count,
successful_runs,
q,
predicate,
condition_string,
)
p = cumulative_binomial_probability(successful_runs, q, count)
run_test.test_result = result
# The test passes if we fail to reject the null hypothesis that
# the probability is at least q
if p < REQUIRED_P:
result.failed = True
raise HypothesisFalsified(result.description() + ' rejected')
def test_simplify_integer_range_can_push_to_near_boundaries():
some_integers = strategy(specifiers.IntegerRange(1, 10))
predicates = [
(lambda x: True, 1),
(lambda x: x > 1, 2),
(lambda x: x > 5, 10),
(lambda x: x > 5 and x < 10, 9),
]
for p, v in predicates:
some = False
for i in hrange(1, 10):
if p(i):
some = True
assert last(some_integers.simplify_such_that(i, p)) == v
assert some
def test_simplify_integer_range_can_push_to_near_boundaries():
some_integers = strategy(specifiers.IntegerRange(1, 10))
predicates = [
(lambda x: True, 1),
(lambda x: x > 1, 2),
(lambda x: x > 5, 10),
(lambda x: x > 5 and x < 10, 9),
]
for p, v in predicates:
some = False
for i in hrange(1, 10):
if p(i):
some = True
assert last(some_integers.simplify_such_that(i, p)) == v
assert some
def run_test():
if condition is None:
_condition = lambda x: True
condition_string = u''
else:
_condition = condition
condition_string = strip_lambda(
reflection.get_pretty_function_description(condition))
count = 0
successful_runs = 0
s = strategy(specifier)
for _ in hrange(MAX_RUNS):
pv = s.draw_parameter(random)
try:
x = s.reify(s.draw_template(random, pv))
except UnsatisfiedAssumption:
continue
if not _condition(x):
continue
successful_runs += 1
if predicate(x):
count += 1
if successful_runs < MIN_RUNS:
raise ConditionTooHard((
u'Unable to find enough examples satisfying predicate %s '
u'only found %d but required at least %d for validity'
) % (
condition_string, successful_runs, MIN_RUNS
))
result = Result(
count,
successful_runs,
q,
predicate,
condition_string,
)
p = cumulative_binomial_probability(successful_runs, q, count)
run_test.test_result = result
# The test passes if we fail to reject the null hypothesis that
# the probability is at least q
if p < REQUIRED_P:
result.failed = True
raise HypothesisFalsified(result.description() + u' rejected')
def test_float_simplicity():
s = strategy(float).strictly_simpler
def order(x, y):
x = float(x)
y = float(y)
assert s(x, y)
assert not s(y, x)
order(sys.float_info.max, '-inf')
order(1.0, 0.5)
order(1.0, 2.0)
order(2, -1)
order('inf', 'nan')
order('inf', '-inf')
order('0.25', '0.5')
order(-1, 0.5)
order(1.5, '-inf')
def test_can_perform_all_basic_operations(specifier, random):
strat = strategy(specifier, settings)
parameter = strat.draw_parameter(random)
template = strat.produce_template(BuildContext(random), parameter)
assert (
strat.to_basic(template) ==
strat.to_basic(strat.from_basic(strat.to_basic(template)))
)
minimal_template = last(strat.simplify_such_that(
random,
template,
lambda x: True
))
strat.reify(minimal_template)
assert (
strat.to_basic(minimal_template) ==
strat.to_basic(strat.from_basic(strat.to_basic(minimal_template)))
)
def test_can_grow_the_set_of_available_parameters_if_doing_badly():
runs = 10
number_grown = 0
for _ in hrange(runs):
source = ParameterSource(
context=BuildContext(random.Random()),
strategy=strategy(int),
min_parameters=1,
)
i = 0
for example in source.examples():
if example < 0:
source.mark_bad()
i += 1
if i >= 100:
break
if len(source.parameters) > 1:
number_grown += 1
assert len(source.parameters) < 100
def test_simple_data_validation(specifier, data):
converter = strategy(specifier)
with pytest.raises(BadData):
converter.from_basic(data)
def wrapped_test(*arguments, **kwargs):
selfy = None
# Because we converted all kwargs to given into real args and
# error if we have neither args nor kwargs, this should always
# be valid
assert argspec.args
selfy = kwargs.get(argspec.args[0])
if isinstance(selfy, HypothesisProvided):
selfy = None
test_runner = executor(selfy)
for example in getattr(wrapped_test,
'hypothesis_explicit_examples', ()):
if example.args:
example_kwargs = dict(
zip(argspec.args[-len(example.args):], example.args))
else:
example_kwargs = dict(example.kwargs)
for k, v in kwargs.items():
if not isinstance(v, HypothesisProvided):
example_kwargs[k] = v
test_runner(lambda: test(*arguments, **example_kwargs))
if not any(
isinstance(x, HypothesisProvided)
for xs in (arguments, kwargs.values()) for x in xs):
# All arguments have been satisfied without needing to invoke
# hypothesis
test_runner(lambda: test(*arguments, **kwargs))
return
def convert_to_specifier(v):
if isinstance(v, HypothesisProvided):
return v.value
else:
return just(v)
given_specifier = (tuple(map(convert_to_specifier, arguments)),
dict([(k, convert_to_specifier(v))
for (k, v) in kwargs.items()]))
search_strategy = strategy(given_specifier, settings)
if settings.database:
storage = settings.database.storage_for(
given_specifier, search_strategy)
else:
storage = None
def is_template_example(xs):
try:
test_runner(reify_and_execute(search_strategy, xs, test))
return False
except UnsatisfiedAssumption as e:
raise e
except Exception:
return True
is_template_example.__name__ = test.__name__
is_template_example.__qualname__ = getattr(test, '__qualname__',
test.__name__)
falsifying_template = None
try:
falsifying_template = best_satisfying_template(
search_strategy, random, is_template_example, settings,
storage)
except NoSuchExample:
return
test_runner(
reify_and_execute(search_strategy,
falsifying_template,
test,
print_example=True))
test_runner(
reify_and_execute(search_strategy,
falsifying_template,
test_is_flaky(test),
print_example=True))
def define_binary_strategy(specifier, settings):
return BinaryStringStrategy(
strategy=strategy([specifiers.integers_in_range(0, 255)], settings),
)
def define_text_type_strategy(specifier, settings):
return StringStrategy(strategy([OneCharStringStrategy()], settings))
def define_text_type_from_alphabet(specifier, settings):
if not specifier.alphabet:
return StringStrategy(strategy([], settings))
return StringStrategy(strategy(
[specifiers.sampled_from(specifier.alphabet)], settings))
def define_dictionary_strategy(specifier, settings):
return strategy(
[(specifier.keys, specifier.values)], settings
).map(specifier.dict_class)