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# This file is part of Hypothesis, which may be found at
# https://github.com/HypothesisWorks/hypothesis/
#
# Copyright the Hypothesis Authors.
# Individual contributors are listed in AUTHORS.rst and the git log.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at https://mozilla.org/MPL/2.0/.
import gc
import random
import sys
import pytest
from hypothesis import (
Phase,
core,
find,
given,
register_random,
settings,
strategies as st,
)
from hypothesis.errors import HypothesisWarning, InvalidArgument
from hypothesis.internal import entropy
from hypothesis.internal.compat import GRAALPY, PYPY
from hypothesis.internal.entropy import deterministic_PRNG
from tests.common.utils import skipif_threading
def gc_collect():
# CPython uses reference counting, so objects (without circular refs)
# are collected immediately on `del`, breaking weak references.
# Python implementations with other garbage collection strategies may
# or may not, so we use this function in tests before counting the
# surviving references to ensure that they're deterministic.
if PYPY or GRAALPY:
gc.collect()
def test_can_seed_random():
@settings(phases=(Phase.generate, Phase.shrink))
@given(st.random_module())
def test(r):
raise AssertionError
with pytest.raises(AssertionError) as err:
test()
assert "RandomSeeder(0)" in "\n".join(err.value.__notes__)
@given(st.random_module(), st.random_module())
def test_seed_random_twice(r, r2):
assert repr(r) == repr(r2)
# ideally we would actually raise the global random warning here, but random_module
# calls seed_all and restore_all inside the deprecate_random_in_strategy context
# manager, which never sees the global random interference.
#
# But it can sometimes see it under multithreading depending on timing. Until
# we fix this to also warn in this case, just skip on threading.
@skipif_threading
@given(st.random_module())
def test_does_not_fail_health_check_if_randomness_is_used(r):
random.getrandbits(128)
def test_cannot_register_non_Random():
with pytest.raises(InvalidArgument):
register_random("not a Random instance")
@skipif_threading
@pytest.mark.filterwarnings(
"ignore:It looks like `register_random` was passed an object that could be garbage collected"
)
@pytest.mark.xfail(
sys.version_info[:2] == (3, 14),
reason="TODO_314: is this intentional semantics of the new gc?",
)
def test_registering_a_Random_is_idempotent():
gc_collect()
n_registered = len(entropy.RANDOMS_TO_MANAGE)
r = random.Random()
register_random(r)
register_random(r)
assert len(entropy.RANDOMS_TO_MANAGE) == n_registered + 1
del r
gc_collect()
assert len(entropy.RANDOMS_TO_MANAGE) == n_registered
def test_manages_registered_Random_instance():
r = random.Random()
register_random(r)
state = r.getstate()
result = []
@given(st.integers())
def inner(x):
v = r.random()
if result:
assert v == result[0]
else:
result.append(v)
inner()
assert state == r.getstate()
def test_registered_Random_is_seeded_by_random_module_strategy():
r = random.Random()
register_random(r)
state = r.getstate()
results = set()
count = 0
@given(st.integers())
def inner(x):
nonlocal count
results.add(r.random())
count += 1
inner()
assert count > len(results) * 0.9, "too few unique random numbers"
assert state == r.getstate()
@given(st.random_module())
@skipif_threading # writing to global random state
def test_will_actually_use_the_random_seed(rnd):
a = random.randint(0, 100)
b = random.randint(0, 100)
random.seed(rnd.seed)
assert a == random.randint(0, 100)
assert b == random.randint(0, 100)
def test_given_does_not_pollute_state():
with deterministic_PRNG():
@given(st.random_module())
def test(r):
pass
test()
state_a = random.getstate()
state_a2 = core.threadlocal._hypothesis_global_random.getstate()
test()
state_b = random.getstate()
state_b2 = core.threadlocal._hypothesis_global_random.getstate()
assert state_a == state_b
assert state_a2 != state_b2
@skipif_threading # modifying global random state
def test_find_does_not_pollute_state():
with deterministic_PRNG():
find(st.random_module(), lambda r: True)
state_a = random.getstate()
state_a2 = core.threadlocal._hypothesis_global_random.getstate()
find(st.random_module(), lambda r: True)
state_b = random.getstate()
state_b2 = core.threadlocal._hypothesis_global_random.getstate()
assert state_a == state_b
assert state_a2 != state_b2
@pytest.mark.filterwarnings(
"ignore:It looks like `register_random` was passed an object that could be garbage collected"
)
@pytest.mark.skipif(
sys.version_info[:2] == (3, 14),
reason="TODO_314: is this intentional semantics of the new gc?",
)
@skipif_threading # we assume we're the only writer to entropy.RANDOMS_TO_MANAGE
def test_evil_prng_registration_nonsense():
# my guess is that other tests may register randoms that are then marked for
# deletion (but not actually gc'd yet). Therefore, depending on the order tests
# are run, RANDOMS_TO_MANAGE may start with more entries than after a gc. To
# force a clean slate for this test, unconditionally gc.
gc.collect()
# The first test to call deterministic_PRNG registers a new random instance.
# If that's this test, it will throw off our n_registered count in the middle.
# start with a no-op to ensure this registration has occurred.
with deterministic_PRNG(0):
pass
n_registered = len(entropy.RANDOMS_TO_MANAGE)
r1, r2, r3 = random.Random(1), random.Random(2), random.Random(3)
s2 = r2.getstate()
# We're going to be totally evil here: register two randoms, then
# drop one and add another, and finally check that we reset only
# the states that we collected before we started
register_random(r1)
k = max(entropy.RANDOMS_TO_MANAGE) # get a handle to check if r1 still exists
register_random(r2)
assert len(entropy.RANDOMS_TO_MANAGE) == n_registered + 2
with deterministic_PRNG(0):
del r1
gc_collect()
assert k not in entropy.RANDOMS_TO_MANAGE, "r1 has been garbage-collected"
assert len(entropy.RANDOMS_TO_MANAGE) == n_registered + 1
r2.seed(4)
register_random(r3)
r3.seed(4)
s4 = r3.getstate()
# Implicit check, no exception was raised in __exit__
assert r2.getstate() == s2, "reset previously registered random state"
assert r3.getstate() == s4, "retained state when registered within the context"
@pytest.mark.skipif(
PYPY, reason="We can't guard against bad no-reference patterns in pypy."
)
def test_passing_unreferenced_instance_raises():
with pytest.raises(ReferenceError):
register_random(random.Random(0))
@pytest.mark.skipif(
PYPY, reason="We can't guard against bad no-reference patterns in pypy."
)
def test_passing_unreferenced_instance_within_function_scope_raises():
def f():
register_random(random.Random(0))
with pytest.raises(ReferenceError):
f()
@pytest.mark.skipif(
PYPY, reason="We can't guard against bad no-reference patterns in pypy."
)
@pytest.mark.skipif(
sys.version_info[:2] == (3, 14),
reason="TODO_314: is this intentional semantics of the new gc?",
)
def test_passing_referenced_instance_within_function_scope_warns():
def f():
r = random.Random(0)
register_random(r)
with pytest.warns(
HypothesisWarning,
match="It looks like `register_random` was passed an object that could be"
" garbage collected",
):
f()
@pytest.mark.filterwarnings(
"ignore:It looks like `register_random` was passed an object that could be garbage collected"
)
@pytest.mark.skipif(
PYPY, reason="We can't guard against bad no-reference patterns in pypy."
)
@pytest.mark.skipif(
sys.version_info[:2] == (3, 14),
reason="TODO_314: is this intentional semantics of the new gc?",
)
def test_register_random_within_nested_function_scope():
n_registered = len(entropy.RANDOMS_TO_MANAGE)
def f():
r = random.Random()
register_random(r)
assert len(entropy.RANDOMS_TO_MANAGE) == n_registered + 1
f()
gc_collect()
assert len(entropy.RANDOMS_TO_MANAGE) == n_registered
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