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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 contextlib
import enum
import math
import sys
import time
import warnings
from io import StringIO
from threading import Barrier, Lock, RLock, Thread
import pytest
from pytest import mark
from hypothesis import Phase, settings
from hypothesis.errors import HypothesisDeprecationWarning
from hypothesis.internal import observability
from hypothesis.internal.floats import next_down
from hypothesis.internal.observability import (
Observation,
add_observability_callback,
remove_observability_callback,
)
from hypothesis.internal.reflection import get_pretty_function_description, proxies
from hypothesis.reporting import default, with_reporter
from hypothesis.strategies._internal.core import from_type, register_type_strategy
from hypothesis.strategies._internal.types import _global_type_lookup
# we need real time here, not monkeypatched for CI
time_sleep = time.sleep
skipif_emscripten = mark.skipif(
sys.platform == "emscripten",
reason="threads, processes, etc. are not available in the browser",
)
no_shrink = tuple(set(settings.default.phases) - {Phase.shrink, Phase.explain})
def flaky(max_runs, min_passes):
assert isinstance(max_runs, int)
assert isinstance(min_passes, int)
assert 0 < min_passes <= max_runs <= 50 # arbitrary cap
def accept(func):
@proxies(func)
def inner(*args, **kwargs):
runs = passes = 0
while passes < min_passes:
runs += 1
try:
func(*args, **kwargs)
passes += 1
except BaseException:
if runs >= max_runs:
raise
return inner
return accept
capture_out_lock = Lock()
@contextlib.contextmanager
def capture_out():
# replacing the singleton sys.stdout can't be made thread safe. Disallow
# concurrency by wrapping a lock around the entire block
with capture_out_lock:
old_out = sys.stdout
try:
new_out = StringIO()
sys.stdout = new_out
with with_reporter(default):
yield new_out
finally:
sys.stdout = old_out
class ExcInfo:
pass
def fails_with(e, *, match=None):
def accepts(f):
@proxies(f)
def inverted_test(*arguments, **kwargs):
with pytest.raises(e, match=match):
f(*arguments, **kwargs)
return inverted_test
return accepts
fails = fails_with(AssertionError)
class NotDeprecated(Exception):
pass
@contextlib.contextmanager
def validate_deprecation():
if settings.get_current_profile_name() == "threading":
import pytest
if sys.version_info[:2] < (3, 14):
pytest.skip("warnings module is not thread-safe before 3.14")
import warnings
try:
warnings.simplefilter("always", HypothesisDeprecationWarning)
with warnings.catch_warnings(record=True) as w:
yield
finally:
warnings.simplefilter("error", HypothesisDeprecationWarning)
if not any(e.category == HypothesisDeprecationWarning for e in w):
raise NotDeprecated(
f"Expected a deprecation warning but got {[e.category for e in w]!r}"
)
def checks_deprecated_behaviour(func):
"""A decorator for testing deprecated behaviour."""
@proxies(func)
def _inner(*args, **kwargs):
with validate_deprecation():
return func(*args, **kwargs)
return _inner
def all_values(db):
return {v for vs in db.data.values() for v in vs}
def non_covering_examples(database):
return {
v for k, vs in database.data.items() if not k.endswith(b".pareto") for v in vs
}
def counts_calls(func):
"""A decorator that counts how many times a function was called, and
stores that value in a ``.calls`` attribute.
"""
assert not hasattr(func, "calls")
@proxies(func)
def _inner(*args, **kwargs):
_inner.calls += 1
return func(*args, **kwargs)
_inner.calls = 0
return _inner
def assert_output_contains_failure(output, test, **kwargs):
assert test.__name__ + "(" in output
for k, v in kwargs.items():
assert f"{k}={v!r}" in output, (f"{k}={v!r}", output)
def assert_falsifying_output(
test, example_type="Falsifying", expected_exception=AssertionError, **kwargs
):
with capture_out() as out:
if expected_exception is None:
# Some tests want to check the output of non-failing runs.
test()
msg = ""
else:
with pytest.raises(expected_exception) as exc_info:
test()
notes = "\n".join(getattr(exc_info.value, "__notes__", []))
msg = str(exc_info.value) + "\n" + notes
output = out.getvalue() + msg
assert f"{example_type} example:" in output
assert_output_contains_failure(output, test, **kwargs)
temp_registered_lock = RLock()
@contextlib.contextmanager
def temp_registered(type_, strat_or_factory):
"""Register and un-register a type for st.from_type().
This is not too hard, but there's a subtlety in restoring the
previously-registered strategy which we got wrong in a few places.
"""
with temp_registered_lock:
prev = _global_type_lookup.get(type_)
register_type_strategy(type_, strat_or_factory)
try:
yield
finally:
del _global_type_lookup[type_]
from_type.__clear_cache()
if prev is not None:
register_type_strategy(type_, prev)
@contextlib.contextmanager
def raises_warning(expected_warning, match=None):
"""Use instead of pytest.warns to check that the raised warning is handled properly"""
with pytest.raises(expected_warning, match=match) as r, warnings.catch_warnings():
warnings.simplefilter("error", category=expected_warning)
yield r
@contextlib.contextmanager
def capture_observations(*, choices=None):
ls: list[Observation] = []
add_observability_callback(ls.append)
if choices is not None:
old_choices = observability.OBSERVABILITY_CHOICES
observability.OBSERVABILITY_CHOICES = choices
try:
yield ls
finally:
remove_observability_callback(ls.append)
if choices is not None:
observability.OBSERVABILITY_CHOICES = old_choices
# Specifies whether we can represent subnormal floating point numbers.
# IEE-754 requires subnormal support, but it's often disabled anyway by unsafe
# compiler options like `-ffast-math`. On most hardware that's even a global
# config option, so *linking against* something built this way can break us.
# Everything is terrible
PYTHON_FTZ = next_down(sys.float_info.min) == 0.0
class Why(enum.Enum):
# Categorizing known failures, to ease later follow-up investigation.
# Some are crosshair issues, some hypothesis issues, others truly ok-to-xfail tests.
symbolic_outside_context = "CrosshairInternal error (using value outside context)"
nested_given = "nested @given decorators don't work with crosshair"
undiscovered = "crosshair may not find the failing input"
other = "reasons not elsewhere categorized"
def xfail_on_crosshair(why: Why, /, *, strict=True, as_marks=False):
# run `pytest -m xf_crosshair` to select these tests!
kw = {
"strict": strict and why != Why.undiscovered,
"reason": f"Expected failure due to: {why.value}",
"condition": settings().backend == "crosshair",
}
if as_marks: # for use with pytest.param(..., marks=xfail_on_crosshair())
return (pytest.mark.xf_crosshair, pytest.mark.xfail(**kw))
return lambda fn: pytest.mark.xf_crosshair(pytest.mark.xfail(**kw)(fn))
def skipif_threading(f):
return pytest.mark.skipif(
settings.get_current_profile_name() == "threading", reason="not thread safe"
)(f)
def xfail_if_gil_disabled(f):
try:
if not sys._is_gil_enabled(): # 3.13+
return pytest.mark.xfail(
reason="fails on free-threading build", strict=False
)(f)
except Exception:
pass
return f
# we don't monkeypatch _consistently_increment_time under threading
skipif_time_unpatched = skipif_threading
_restore_recursion_limit_lock = RLock()
@contextlib.contextmanager
def restore_recursion_limit():
with _restore_recursion_limit_lock:
original_limit = sys.getrecursionlimit()
try:
yield
finally:
sys.setrecursionlimit(original_limit)
def run_concurrently(function, *, n: int) -> None:
import pytest
if settings.get_current_profile_name() == "crosshair":
pytest.skip("crosshair is not thread safe")
if sys.platform == "emscripten":
pytest.skip("no threads on emscripten")
def run():
barrier.wait()
function()
threads = [Thread(target=run) for _ in range(n)]
barrier = Barrier(n)
for thread in threads:
thread.start()
for thread in threads:
thread.join(timeout=10)
def wait_for(condition, *, timeout=1, interval=0.01):
for _ in range(math.ceil(timeout / interval)):
if condition():
return
time_sleep(interval)
raise Exception(
f"timing out after waiting {timeout}s for condition "
f"{get_pretty_function_description(condition)}"
)
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