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test_float_shrinking.py
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test_float_shrinking.py
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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 pytest
from hypothesis import (
HealthCheck,
Verbosity,
example,
given,
settings,
strategies as st,
)
from hypothesis.internal.compat import ceil
from tests.common.debug import minimal
def test_shrinks_to_simple_floats():
assert minimal(st.floats(), lambda x: x > 1) == 2.0
assert minimal(st.floats(), lambda x: x > 0) == 1.0
@pytest.mark.parametrize("n", [1, 2, 3, 8, 10])
def test_can_shrink_in_variable_sized_context(n):
x = minimal(st.lists(st.floats(), min_size=n), any)
assert len(x) == n
assert x.count(0.0) == n - 1
assert 1 in x
@example(1.7976931348623157e308)
@example(1.5)
@given(st.floats(min_value=0, allow_infinity=False, allow_nan=False))
@settings(deadline=None, suppress_health_check=HealthCheck.all())
def test_shrinks_downwards_to_integers(f):
g = minimal(
st.floats().filter(lambda x: x >= f),
settings=settings(verbosity=Verbosity.quiet, max_examples=10**6),
)
assert g == ceil(f)
@example(1)
@given(st.integers(1, 2**16 - 1))
@settings(deadline=None, suppress_health_check=HealthCheck.all(), max_examples=10)
def test_shrinks_downwards_to_integers_when_fractional(b):
g = minimal(
st.floats().filter(lambda x: b < x < 2**53 and int(x) != x),
settings=settings(verbosity=Verbosity.quiet, max_examples=10**6),
)
assert g == b + 0.5