def run():
filterwarnings('error')
filterwarnings('ignore', category=ImportWarning)
filterwarnings('ignore', category=FutureWarning, module='pandas._version')
# See https://github.com/numpy/numpy/pull/432
filterwarnings('ignore', message='numpy.dtype size changed')
filterwarnings('ignore', message='numpy.ufunc size changed')
# Imported by Pandas in version 1.9, but fixed in later versions.
filterwarnings(
'ignore',
message='Importing from numpy.testing.decorators is deprecated')
filterwarnings(
'ignore',
message='Importing from numpy.testing.nosetester is deprecated')
new_home = mkdtemp()
set_hypothesis_home_dir(new_home)
assert settings.default.database.path.startswith(new_home)
charmap()
assert os.path.exists(charmap_file()), charmap_file()
assert isinstance(settings, type)
# We do a smoke test here before we mess around with settings.
x = settings()
import hypothesis._settings as settings_module
for s in settings_module.all_settings.values():
v = getattr(x, s.name)
# Check if it has a dynamically defined default and if so skip
# comparison.
if getattr(settings, s.name).show_default:
assert v == s.default, '%r == x.%s != s.%s == %r' % (
v,
s.name,
s.name,
s.default,
)
settings.register_profile(
'default',
settings(max_examples=10 if IN_COVERAGE_TESTS else not_set,
timeout=unlimited,
use_coverage=not IN_COVERAGE_TESTS))
settings.register_profile('with_coverage',
settings(
timeout=unlimited,
use_coverage=True,
))
settings.register_profile('speedy', settings(max_examples=5, ))
settings.register_profile('debug', settings(verbosity=Verbosity.debug))
settings.load_profile(os.getenv('HYPOTHESIS_PROFILE', 'default'))
def run():
filterwarnings('error')
filterwarnings('ignore', category=ImportWarning)
filterwarnings('ignore', category=FutureWarning, module='pandas._version')
# Fixed in recent versions but allowed by pytest=3.0.0; see #1630
filterwarnings('ignore', category=DeprecationWarning, module='pluggy')
# See https://github.com/numpy/numpy/pull/432
filterwarnings('ignore', message='numpy.dtype size changed')
filterwarnings('ignore', message='numpy.ufunc size changed')
# Imported by Pandas in version 1.9, but fixed in later versions.
filterwarnings(
'ignore',
message='Importing from numpy.testing.decorators is deprecated'
)
filterwarnings(
'ignore',
message='Importing from numpy.testing.nosetester is deprecated'
)
new_home = mkdtemp()
set_hypothesis_home_dir(new_home)
assert settings.default.database.path.startswith(new_home)
charmap()
assert os.path.exists(charmap_file()), charmap_file()
assert isinstance(settings, type)
# We do a smoke test here before we mess around with settings.
x = settings()
import hypothesis._settings as settings_module
for s in settings_module.all_settings.values():
v = getattr(x, s.name)
# Check if it has a dynamically defined default and if so skip
# comparison.
if getattr(settings, s.name).show_default:
assert v == s.default, '%r == x.%s != s.%s == %r' % (
v, s.name, s.name, s.default,
)
settings.register_profile('default', settings(
max_examples=10 if IN_COVERAGE_TESTS else not_set,
timeout=unlimited,
))
settings.register_profile(
'speedy', settings(
max_examples=5,
))
settings.register_profile('debug', settings(verbosity=Verbosity.debug))
settings.load_profile(os.getenv('HYPOTHESIS_PROFILE', 'default'))
def test_uses_cached_charmap():
cm.charmap()
# Reset the last-modified time of the cache file to a point in the past.
mtime = int(time.time() - 1000)
os.utime(cm.charmap_file(), (mtime, mtime))
statinfo = os.stat(cm.charmap_file())
assert statinfo.st_mtime == mtime
# Force reload of charmap from cache file and check that mtime is unchanged.
cm._charmap = None
cm.charmap()
statinfo = os.stat(cm.charmap_file())
assert statinfo.st_mtime == mtime
def run():
warnings.filterwarnings('error', category=UnicodeWarning)
warnings.filterwarnings('error', category=HypothesisDeprecationWarning)
set_hypothesis_home_dir(mkdtemp())
charmap()
assert os.path.exists(charmap_file())
assert isinstance(settings, type)
# We do a smoke test here before we mess around with settings.
x = settings()
import hypothesis._settings as settings_module
for s in settings_module.all_settings.values():
v = getattr(x, s.name)
# Check if it has a dynamically defined default and if so skip
# comparison.
if getattr(settings, s.name).show_default:
assert v == s.default, '%r == x.%s != s.%s == %r' % (
v,
s.name,
s.name,
s.default,
)
settings.register_profile('default', settings(timeout=unlimited))
settings.register_profile('speedy', settings(max_examples=5, ))
settings.load_profile(os.getenv('HYPOTHESIS_PROFILE', 'default'))
def test_recreate_charmap():
x = cm.charmap()
assert x is cm.charmap()
cm._charmap = None
os.unlink(cm.charmap_file())
y = cm.charmap()
assert x is not y
assert x == y
def test_recreate_charmap():
x = cm.charmap()
assert x is cm.charmap()
cm._charmap = None
os.unlink(cm.charmap_file())
y = cm.charmap()
assert x is not y
assert x == y
def run():
filterwarnings('error')
filterwarnings('ignore', category=ImportWarning)
filterwarnings('ignore', category=FutureWarning, module='pandas._version')
# Only applies to Django 1.8, so this filter will go very soon!
filterwarnings('ignore',
category=DeprecationWarning,
module='tests.django.toystore.models')
set_hypothesis_home_dir(mkdtemp())
charmap()
assert os.path.exists(charmap_file()), charmap_file()
assert isinstance(settings, type)
# We do a smoke test here before we mess around with settings.
x = settings()
import hypothesis._settings as settings_module
for s in settings_module.all_settings.values():
v = getattr(x, s.name)
# Check if it has a dynamically defined default and if so skip
# comparison.
if getattr(settings, s.name).show_default:
assert v == s.default, '%r == x.%s != s.%s == %r' % (
v,
s.name,
s.name,
s.default,
)
settings.register_profile(
'default',
settings(timeout=unlimited, use_coverage=not IN_COVERAGE_TESTS))
settings.register_profile('with_coverage',
settings(
timeout=unlimited,
use_coverage=True,
))
settings.register_profile('speedy', settings(max_examples=5, ))
settings.load_profile(os.getenv('HYPOTHESIS_PROFILE', 'default'))
def test_regenerate_broken_charmap_file():
cm.charmap()
file_loc = cm.charmap_file()
with open(file_loc, 'wb'):
pass
cm._charmap = None
cm.charmap()
def test_regenerate_broken_charmap_file():
cm.charmap()
file_loc = cm.charmap_file()
with open(file_loc, "wb"):
pass
cm._charmap = None
cm.charmap()
def run(deprecations_as_errors=True):
warnings.filterwarnings('error', category=UnicodeWarning)
# This catches deprecations in our dependencies, as well as internally
# (because HypothesisDeprecationWarning subclasses DeprecationWarning)
if deprecations_as_errors: # disabled for old versions of Django
warnings.filterwarnings('error', category=DeprecationWarning)
set_hypothesis_home_dir(mkdtemp())
charmap()
assert os.path.exists(charmap_file()), charmap_file()
assert isinstance(settings, type)
# We do a smoke test here before we mess around with settings.
x = settings()
import hypothesis._settings as settings_module
for s in settings_module.all_settings.values():
v = getattr(x, s.name)
# Check if it has a dynamically defined default and if so skip
# comparison.
if getattr(settings, s.name).show_default:
assert v == s.default, '%r == x.%s != s.%s == %r' % (
v,
s.name,
s.name,
s.default,
)
settings.register_profile(
'default',
settings(timeout=unlimited, use_coverage=not IN_COVERAGE_TESTS))
settings.register_profile('with_coverage',
settings(
timeout=unlimited,
use_coverage=True,
))
settings.register_profile('speedy', settings(max_examples=5, ))
settings.load_profile(os.getenv('HYPOTHESIS_PROFILE', 'default'))
def run():
warnings.filterwarnings('error', category=UnicodeWarning)
warnings.filterwarnings('error', category=HypothesisDeprecationWarning)
set_hypothesis_home_dir(mkdtemp())
charmap()
assert os.path.exists(charmap_file()), charmap_file()
assert isinstance(settings, type)
# We do a smoke test here before we mess around with settings.
x = settings()
import hypothesis._settings as settings_module
for s in settings_module.all_settings.values():
v = getattr(x, s.name)
# Check if it has a dynamically defined default and if so skip
# comparison.
if getattr(settings, s.name).show_default:
assert v == s.default, '%r == x.%s != s.%s == %r' % (
v, s.name, s.name, s.default,
)
settings.register_profile('default', settings(
timeout=unlimited, use_coverage=not (IN_COVERAGE_TESTS or PYPY)))
settings.register_profile('with_coverage', settings(
timeout=unlimited, use_coverage=True,
))
settings.register_profile(
'speedy', settings(
max_examples=5,
))
settings.load_profile(os.getenv('HYPOTHESIS_PROFILE', 'default'))
def test_error_writing_charmap_file_is_suppressed(monkeypatch):
def broken_mkstemp(dir):
raise RuntimeError()
monkeypatch.setattr(tempfile, "mkstemp", broken_mkstemp)
try:
# Cache the charmap to avoid a performance hit the next time
# somebody tries to use it.
saved = cm._charmap
cm._charmap = None
os.unlink(cm.charmap_file())
cm.charmap()
finally:
cm._charmap = saved
def test_error_writing_charmap_file_is_suppressed(monkeypatch):
def broken_mkstemp(dir):
raise RuntimeError()
monkeypatch.setattr(tempfile, 'mkstemp', broken_mkstemp)
try:
# Cache the charmap to avoid a performance hit the next time
# somebody tries to use it.
saved = cm._charmap
cm._charmap = None
os.unlink(cm.charmap_file())
cm.charmap()
finally:
cm._charmap = saved
def run():
warnings.filterwarnings(u'error', category=UnicodeWarning)
set_hypothesis_home_dir(mkdtemp())
charmap()
assert os.path.exists(charmap_file())
assert isinstance(settings, type)
settings.register_profile('default', settings(timeout=-1, strict=True))
settings.register_profile('speedy', settings(
timeout=1,
max_examples=5,
))
settings.register_profile('nonstrict', settings(strict=False))
settings.load_profile(os.getenv('HYPOTHESIS_PROFILE', 'default'))
def run():
warnings.filterwarnings(u'error', category=UnicodeWarning)
set_hypothesis_home_dir(mkdtemp())
charmap()
assert os.path.exists(charmap_file())
assert isinstance(settings, type)
settings.register_profile(
'default', settings(timeout=-1, strict=True)
)
settings.register_profile(
'speedy', settings(
timeout=1, max_examples=5,
))
settings.register_profile(
'nonstrict', settings(strict=False)
)
settings.load_profile(os.getenv('HYPOTHESIS_PROFILE', 'default'))
def run():
filterwarnings("error")
filterwarnings("ignore", category=ImportWarning)
filterwarnings("ignore", category=FutureWarning, module="pandas._version")
# Fixed in recent versions but allowed by pytest=3.0.0; see #1630
filterwarnings("ignore", category=DeprecationWarning, module="pluggy")
# See https://github.com/numpy/numpy/pull/432
filterwarnings("ignore", message="numpy.dtype size changed")
filterwarnings("ignore", message="numpy.ufunc size changed")
# See https://github.com/HypothesisWorks/hypothesis/issues/1674
filterwarnings(
"ignore",
message=(
"The virtualenv distutils package at .+ appears to be in the "
"same location as the system distutils?"
),
category=UserWarning,
)
# Imported by Pandas in version 1.9, but fixed in later versions.
filterwarnings(
"ignore", message="Importing from numpy.testing.decorators is deprecated"
)
filterwarnings(
"ignore", message="Importing from numpy.testing.nosetester is deprecated"
)
new_home = mkdtemp()
set_hypothesis_home_dir(new_home)
assert settings.default.database.path.startswith(new_home)
charmap()
assert os.path.exists(charmap_file()), charmap_file()
assert isinstance(settings, type)
# We do a smoke test here before we mess around with settings.
x = settings()
import hypothesis._settings as settings_module
for s in settings_module.all_settings.values():
v = getattr(x, s.name)
# Check if it has a dynamically defined default and if so skip
# comparison.
if getattr(settings, s.name).show_default:
assert v == s.default, "%r == x.%s != s.%s == %r" % (
v,
s.name,
s.name,
s.default,
)
settings.register_profile(
"default", settings(max_examples=10 if IN_COVERAGE_TESTS else not_set)
)
settings.register_profile("speedy", settings(max_examples=5))
settings.register_profile("debug", settings(verbosity=Verbosity.debug))
settings.load_profile(os.getenv("HYPOTHESIS_PROFILE", "default"))
def run():
filterwarnings('error')
filterwarnings('ignore', category=ImportWarning)
filterwarnings('ignore', category=FutureWarning, module='pandas._version')
# Fixed in recent versions but allowed by pytest=3.0.0; see #1630
filterwarnings('ignore', category=DeprecationWarning, module='pluggy')
# See https://github.com/numpy/numpy/pull/432
filterwarnings('ignore', message='numpy.dtype size changed')
filterwarnings('ignore', message='numpy.ufunc size changed')
# See https://github.com/HypothesisWorks/hypothesis/issues/1674
filterwarnings(
'ignore',
message=('The virtualenv distutils package at .+ appears to be in the '
'same location as the system distutils?'),
category=UserWarning)
# Imported by Pandas in version 1.9, but fixed in later versions.
filterwarnings(
'ignore',
message='Importing from numpy.testing.decorators is deprecated')
filterwarnings(
'ignore',
message='Importing from numpy.testing.nosetester is deprecated')
new_home = mkdtemp()
set_hypothesis_home_dir(new_home)
assert settings.default.database.path.startswith(new_home)
charmap()
assert os.path.exists(charmap_file()), charmap_file()
assert isinstance(settings, type)
# We do a smoke test here before we mess around with settings.
x = settings()
import hypothesis._settings as settings_module
for s in settings_module.all_settings.values():
v = getattr(x, s.name)
# Check if it has a dynamically defined default and if so skip
# comparison.
if getattr(settings, s.name).show_default:
assert v == s.default, '%r == x.%s != s.%s == %r' % (
v,
s.name,
s.name,
s.default,
)
settings.register_profile(
'default',
settings(
max_examples=10 if IN_COVERAGE_TESTS else not_set,
timeout=unlimited,
))
settings.register_profile('speedy', settings(max_examples=5, ))
settings.register_profile('debug', settings(verbosity=Verbosity.debug))
settings.load_profile(os.getenv('HYPOTHESIS_PROFILE', 'default'))
def run():
filterwarnings("error")
filterwarnings("ignore", category=ImportWarning)
filterwarnings("ignore", category=FutureWarning, module="pandas._version")
# Fixed in recent versions but allowed by pytest=3.0.0; see #1630
filterwarnings("ignore", category=DeprecationWarning, module="pluggy")
# See https://github.com/numpy/numpy/pull/432
filterwarnings("ignore", message="numpy.dtype size changed")
filterwarnings("ignore", message="numpy.ufunc size changed")
# See https://github.com/HypothesisWorks/hypothesis/issues/1674
filterwarnings(
"ignore",
message=(
"The virtualenv distutils package at .+ appears to be in the "
"same location as the system distutils?"
),
category=UserWarning,
)
# Imported by Pandas in version 1.9, but fixed in later versions.
filterwarnings(
"ignore", message="Importing from numpy.testing.decorators is deprecated"
)
filterwarnings(
"ignore", message="Importing from numpy.testing.nosetester is deprecated"
)
# User-facing warning which does not apply to our own tests
filterwarnings("ignore", category=NonInteractiveExampleWarning)
new_home = mkdtemp()
set_hypothesis_home_dir(new_home)
assert settings.default.database.path.startswith(new_home)
# Remove the cache because we might have saved this before setting the new home dir
charmap._charmap = None
charmap.charmap()
assert os.path.exists(charmap.charmap_file()), charmap.charmap_file()
assert isinstance(settings, type)
# We do a smoke test here before we mess around with settings.
x = settings()
from hypothesis import _settings as settings_module
for s in settings_module.all_settings.values():
v = getattr(x, s.name)
# Check if it has a dynamically defined default and if so skip comparison.
if getattr(settings, s.name).show_default:
assert v == s.default, "({!r} == x.{}) != (s.{} == {!r})".format(
v, s.name, s.name, s.default
)
settings.register_profile(
"default", settings(max_examples=20 if IN_COVERAGE_TESTS else not_set)
)
settings.register_profile("speedy", settings(max_examples=5))
settings.register_profile("debug", settings(verbosity=Verbosity.debug))
settings.load_profile(os.getenv("HYPOTHESIS_PROFILE", "default"))