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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/.
from contextlib import contextmanager
from hypothesis import HealthCheck, settings
from hypothesis.internal.conjecture import engine as engine_module
from hypothesis.internal.conjecture.data import Status
from hypothesis.internal.conjecture.engine import ConjectureRunner
from hypothesis.internal.conjecture.utils import calc_label_from_name
from hypothesis.internal.entropy import deterministic_PRNG
SOME_LABEL = calc_label_from_name("some label")
TEST_SETTINGS = settings(
max_examples=5000, database=None, suppress_health_check=HealthCheck.all()
)
def run_to_data(f):
with deterministic_PRNG():
runner = ConjectureRunner(f, settings=TEST_SETTINGS)
runner.run()
assert runner.interesting_examples
(last_data,) = runner.interesting_examples.values()
return last_data
def run_to_buffer(f):
return bytes(run_to_data(f).buffer)
@contextmanager
def buffer_size_limit(n):
original = engine_module.BUFFER_SIZE
try:
engine_module.BUFFER_SIZE = n
yield
finally:
engine_module.BUFFER_SIZE = original
def shrinking_from(start):
def accept(f):
with deterministic_PRNG():
runner = ConjectureRunner(
f,
settings=settings(
max_examples=5000,
database=None,
suppress_health_check=HealthCheck.all(),
),
)
runner.cached_test_function(start)
assert runner.interesting_examples
(last_data,) = runner.interesting_examples.values()
return runner.new_shrinker(
last_data, lambda d: d.status == Status.INTERESTING
)
return accept
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