def test_no_hashability_filter():
# In from_type, we ordinarily protect users from really weird cases like
# `Decimal('snan')` - a unhashable value of a hashable type - but in the
# ghostwriter we instead want to present this to the user for an explicit
# decision. They can pass `allow_nan=False`, fix their custom type's
# hashing logic, or whatever else; simply doing nothing will usually work.
source_code = ghostwriter.fuzz(hopefully_hashable)
assert "@given(foo=st.sets(st.decimals()))" in source_code
assert "_can_hash" not in source_code
def test_no_hashability_filter():
# In from_type, we ordinarily protect users from really weird cases like
# `Decimal('snan')` - a unhashable value of a hashable type - but in the
# ghostwriter we instead want to present this to the user for an explicit
# decision. They can pass `allow_nan=False`, fix their custom type's
# hashing logic, or whatever else; simply doing nothing will usually work.
source_code = ghostwriter.fuzz(hopefully_hashable)
assert "_can_hash" not in source_code
test = get_test_function(source_code)
with pytest.raises(TypeError, match="[Cc]annot hash a signaling NaN"):
test()
def test_inference_from_defaults_and_none_booleans_reprs_not_just_and_sampled_from():
source_code = ghostwriter.fuzz(no_annotations)
assert "@given(foo=st.none(), bar=st.booleans())" in source_code
def test_ghostwriter_fuzz(func, ex):
source_code = ghostwriter.fuzz(func, except_=ex)
get_test_function(source_code)
def test_ghostwriter_exploits_arguments_with_enum_defaults():
source_code = ghostwriter.fuzz(takes_enum)
test = get_test_function(source_code)
with pytest.raises(AssertionError):
test()