def path_segments(draw): # pragma: no cover
# type: (DrawCallable) -> Text
"""
A strategy which generates URL path segments.
"""
return draw(
iterables(
text(min_size=1, alphabet=_path_characters),
max_size=10, average_size=3,
)
)
def resolve_Iterator(thing):
return st.iterables(st.from_type(thing.__args__[0]))
return st.frozensets(st.from_type(thing.__args__[0]))
@register(typing.Dict, st.builds(dict))
def resolve_Dict(thing):
# If thing is a Collection instance, we need to fill in the values
keys_vals = [st.from_type(t) for t in thing.__args__] * 2
return st.dictionaries(keys_vals[0], keys_vals[1])
@register('DefaultDict', st.builds(collections.defaultdict))
def resolve_DefaultDict(thing):
return resolve_Dict(thing).map(
lambda d: collections.defaultdict(None, d))
@register(typing.ItemsView, st.builds(dict).map(dict.items))
def resolve_ItemsView(thing):
return resolve_Dict(thing).map(dict.items)
@register(typing.KeysView, st.builds(dict).map(dict.keys))
def resolve_KeysView(thing):
return st.dictionaries(st.from_type(thing.__args__[0]), st.none()
).map(dict.keys)
@register(typing.ValuesView, st.builds(dict).map(dict.values))
def resolve_ValuesView(thing):
return st.dictionaries(st.integers(), st.from_type(thing.__args__[0])
).map(dict.values)
@register(typing.Iterator, st.iterables(st.nothing()))
def resolve_Iterator(thing):
return st.iterables(st.from_type(thing.__args__[0]))
def test_preserves_sequence_type_of_argument():
assert repr(st.sampled_from([0])) == "sampled_from([0])"
class IHaveABadRepr(object):
def __repr__(self):
raise ValueError("Oh no!")
def test_errors_are_deferred_until_repr_is_calculated():
s = (
st.builds(
lambda x, y: 1,
st.just(IHaveABadRepr()),
y=st.one_of(st.sampled_from((IHaveABadRepr(),)), st.just(IHaveABadRepr())),
)
.map(lambda t: t)
.filter(lambda t: True)
.flatmap(lambda t: st.just(IHaveABadRepr()))
)
with pytest.raises(ValueError):
repr(s)
@given(st.iterables(st.integers()))
def test_iterables_repr_is_useful(it):
# fairly hard-coded but useful; also ensures _values are inexhaustible
assert repr(it) == "iter({!r})".format(it._values)
def test_get_cache_size_kb():
assert mp.get_cache_size_kb() == 128
@given(st.integers(min_value=0, max_value=2**27))
def test_set_cache_size_kb(size):
mp.set_cache_size_kb(size)
mp.get_cache_size_kb() == size
@given(st.integers(min_value=-(2**32), max_value=-1))
def test_set_cache_size_kb_not_positive(size):
with pytest.raises(ValueError) as e:
mp.set_cache_size_kb(size)
assert e.match('must be non-negative')
@given(
st.one_of(st.characters(), st.complex_numbers(),
st.dates(), st.datetimes(),
st.dictionaries(st.integers(), st.integers()), st.floats(),
st.iterables(st.integers()), st.lists(st.integers()), st.none(),
st.sets(st.integers()), st.text(), st.timedeltas(), st.times(),
st.tuples(st.integers())))
def test_set_cache_size_kb_not_integer(size):
with pytest.raises(TypeError) as e:
mp.set_cache_size_kb(size)
assert e.match('integer')
import pytest # type: ignore
from io import StringIO
from itertools import groupby
from typing import Set, Tuple, Iterable, Callable, Any
from hypothesis import assume, given # type: ignore
import hypothesis.strategies as st # type: ignore
from patch import Compost
MAX_OFFSET = 1000
ints = st.integers(min_value=0, max_value=MAX_OFFSET)
@given(ranges=st.iterables(st.tuples(ints, ints)))
def test_compost_free(ranges: Iterable[Tuple[int, int]]) -> None:
compost = Compost()
# Use a completely different (however inefficient) implementation here to
# check for overlaps so that we can make sure the actual implementation
# isn't "accidentally correct".
bitset: Set[int] = set()
for start, end in ranges:
if end < start:
with pytest.raises(ValueError):
compost.free(start, end)
else:
must_fail = False
new_bitset = set()
for bit in range(start, end + 1):
import traceback
import sys
from time import time
from stricttuple import stricttuple
from collections import deque
__all__ = 'battle_tested', 'fuzz', 'disable_traceback', 'enable_traceback', 'garbage', 'crash_map', 'success_map', 'results', 'stats', 'print_stats'
garbage = (st.binary(), st.booleans(), st.characters(), st.complex_numbers(),
st.decimals(), st.floats(), st.fractions(), st.integers(),
st.none(), st.random_module(), st.randoms(), st.text(), st.tuples(),
st.uuids(), st.dictionaries(keys=st.text(), values=st.text()))
garbage += (
# iterables
st.lists(elements=st.one_of(*garbage)),
st.iterables(elements=st.one_of(*garbage)),
st.dictionaries(keys=st.text(), values=st.one_of(*garbage)))
garbage = st.one_of(*garbage)
def is_py3():
return sys.version_info >= (3, 0)
class UniqueCrashContainer(tuple):
''' a pretty printable container for crashes '''
def __repr__(self):
table = PrettyTable(
('exception type', 'arg types', 'location', 'crash message'),
sortby='exception type')
table.align["exception type"] = "l"
from itertools import tee
import hypothesis.strategies as st
import pytest
from hypothesis import given
from ...abuiltin import adict, aiter
@given(listish=st.one_of(
st.lists(st.tuples(st.text(), st.integers())),
st.lists(st.lists(st.integers(), min_size=2, max_size=2)),
st.sets(st.tuples(st.text(), st.integers())),
))
@pytest.mark.trio
async def test_all_listish(listish):
ait = aiter(listish)
assert await adict(ait) == dict(listish)
@given(iterable=st.one_of(
st.iterables(st.tuples(st.text(), st.integers())),
st.iterables(st.lists(st.integers(), min_size=2, max_size=2)),
))
@pytest.mark.trio
async def test_all_iterable(iterable):
it1, it2 = tee(iterable)
ait = aiter(it1)
assert await adict(ait) == dict(it2)
import responses
from request_libraries_io_load_sqlite import *
from utils.libraries_io_project_contributors_endpoint import content_and_error
def get_api_key():
api_key = os.environ.get("APIKEY")
if api_key is None:
print("'APIKEY' is not among environment variables!", file=sys.stderr)
sys.exit(1)
return api_key
@given(st.iterables(st.none()), st.integers())
def test_chunk__is_iterator(i, n):
chunks = chunk(i, n)
assert iter(chunks) is chunks
@given(st.iterables(st.none(), min_size=0, max_size=0),
st.integers(min_value=1, max_value=1000))
def test_chunk__empty_list_yields_empty_generator(i, n):
chunks = chunk(i, n)
with pt.raises(StopIteration):
next(chunks)
# @given(st.iterables(st.none(), min_size=1), st.integers(min_value=1))
# def test_chunk__chunks_recombine_into_original_list(l, n):
from itertools import tee
T = TypeVar("T")
@given(stp.urls())
def test_is_valid_url_valid_example(url: str):
assert hf.is_valid_url(url) == True
@given(st.text())
def test_is_valid_url_invalid_example(url: str):
assert hf.is_valid_url(url) == False
@given(st.iterables(st.integers(), unique=True, min_size=1))
def test_tail_only_removes_first_item(iterable: Iterable[T]):
# If iterable is an iterator then it will be consumed so we need a copy
iterable1, iterable2 = tee(iterable)
# Force to list for easy testing
iterable1 = list(iterable1) # type: ignore
new_iterable = list(hf.tail(iterable2))
assert iterable1[0] not in new_iterable # type: ignore
assert all(x in iterable1 for x in new_iterable)
@given(st.iterables(st.booleans()))
def test_partition(iterable: Iterable[T]):
iterable1, iterable2 = tee(iterable)
trues, falses = hf.partition(bool, iterable2)
trues, falses = list(trues), list(falses)
from itertools import chain, tee
from typing import Iterable, List
from hypothesis import assume, given
from hypothesis.strategies import integers, iterables, lists
from LZW.extra_itertools import iappend, iequal
@given(iterables(integers()), integers(min_value=0, max_value=10))
def test_iequal(l: Iterable[int], n: int) -> None:
itrs = tee(l, n)
assert iequal(*itrs)
@given(lists(integers()), lists(integers()), integers(min_value=1,
max_value=10))
def test_iequal_on_non_equal_iterables(l1: List[int], l2: List[int],
n: int) -> None:
assume(l1 != l2)
itr1, itr2 = iter(l1), iter(l2)
itrs = chain(tee(itr1, n), [itr2])
assert not iequal(*itrs)
@given(iterables(integers()), integers())
def test_iappend(l: Iterable[int], x: int) -> None:
l1, l2 = tee(l)
assert list(iappend(l1, x)) == list(l2) + [x]
import hypothesis.strategies as st
import pytest
from hypothesis import given
from ...abuiltin import aenumerate, aiter, alist
@given(
listish=st.one_of(
st.binary(),
st.lists(st.integers()),
st.sets(st.integers()),
st.text(),
st.tuples(st.integers()),
),
start=st.integers(),
)
@pytest.mark.trio
async def test_all_listish(listish, start):
ait = aiter(listish)
assert await alist(aenumerate(ait,
start)) == list(enumerate(listish, start))
@given(iterable=st.iterables(st.integers()), start=st.integers())
@pytest.mark.trio
async def test_all_iterable(iterable, start):
it1, it2 = tee(iterable)
ait = aiter(it1)
assert await alist(aenumerate(ait, start)) == list(enumerate(it2, start))
child_rule_3 = ExampleRule(name="Test", param=None)
child_rule_3.execute = Mock()
rule = ExampleRule(name="Test",
param="Rule",
children=[child_rule_1, child_rule_2, child_rule_3])
rule.execute()
child_rule_1.execute.assert_called_once_with(rule.param)
child_rule_2.execute.assert_called_once_with(rule.param)
child_rule_3.execute.assert_called_once_with(rule.param)
@given(value=st.one_of(st.text(), st.integers(),
st.iterables(st.one_of(st.text(), st.integers()))))
def test_validate_param(value):
rule = ExampleRule(name="Test", param="Rule")
# Casting to string is the safest
result = rule.validate(value, cast_to=str)
assert result == str(value)
@given(value=st.one_of(st.text(), st.integers(),
st.iterables(st.one_of(st.text(), st.integers()))))
def test_validate_no_casting(value):
rule = ExampleRule(name="Test", param="Rule")
result = rule.validate(val=value)
expected_xml = cET.Element(tag)
inner_expected_xml = cET.SubElement(
expected_xml, inner_tag, attrib={"attr1": attr1_val, attr2_name: attr2_val}
)
cET.SubElement(inner_expected_xml, "float_el").text = str(float_val)
cET.SubElement(inner_expected_xml, "str_el").text = str_val
assert _elements_equal(
generated_xml, expected_xml
), "Generated xml does not match the expected_xml."
@given(
vec_xyz=st.tuples(st.floats(), st.floats(), st.floats()),
iterable=st.iterables(st.one_of(st.floats(), st.text())),
)
@log_parameters
def test_custom_values(vec_xyz: Tuple[float, float, float], iterable: Iterable):
iterable, itr_cp = itertools.tee(iterable)
@dataclass
class TestXml(XmlObject):
TAG = "tag"
vec: Vector = Vector(*vec_xyz)
itr: Iterable = iterable
test_xml = TestXml()
generated_xml = test_xml.create_xml()
@settings(max_examples=50)
def test_dictionaries_respect_zero_size(d):
assert len(d) <= 5
@given(ds.lists(ds.none(), max_size=5))
def test_none_lists_respect_max_size(ls):
assert len(ls) <= 5
@given(ds.lists(ds.none(), max_size=5, min_size=1))
def test_none_lists_respect_max_and_min_size(ls):
assert 1 <= len(ls) <= 5
@given(ds.iterables(ds.integers(), max_size=5, min_size=1))
def test_iterables_are_exhaustible(it):
for _ in it:
pass
with pytest.raises(StopIteration):
next(it)
def test_minimal_iterable():
assert list(minimal(ds.iterables(ds.integers()), lambda x: True)) == []
@checks_deprecated_behaviour
@pytest.mark.parametrize(
"fn,kwargs",
[
from pymesis import _cache as pymesis_cache
strategies = (
st.integers(),
st.text(),
st.binary(),
st.booleans(),
st.characters(),
st.complex_numbers(allow_nan=False),
st.dates(),
st.datetimes(),
st.decimals(allow_nan=False),
st.dictionaries(st.text(), st.text()),
st.floats(allow_nan=False),
st.fractions(),
st.functions(),
st.iterables(st.text()),
st.none(),
)
@given(st.one_of(strategies))
def test_cache(data):
pymesis_cache.clear_cache()
pymesis_cache.add_data(hash("key"), data)
retrieved_data = pymesis_cache.get_data_if_cached(hash("key"))
assert retrieved_data == data
def test_minimal_iterable():
assert list(minimal(ds.iterables(ds.integers()), lambda x: True)) == []
def __eq__(self, other):
return self.attr == other.attr
assert s.setattr_immutable(C(1), 'attr', 2) == C(2)
def test_setattr_imm_namedtuple():
Tup = collections.namedtuple('Tup', 'attr')
assert s.setattr_immutable(Tup(1), 'attr', 2) == Tup(2)
@hypothesis.given(
strats.one_of(
strats.lists(strats.integers()),
strats.iterables(strats.integers()).map(tuple),
strats.dictionaries(strats.text(), strats.integers()),
strats.iterables(strats.integers()).map(set),
strats.lists(strats.integers()).map(Box),
))
def test_contains(container):
item = object()
added = s.contains_add(container, item)
assert isinstance(added, type(container))
assert item in added
removed = s.contains_remove(added, item)
assert isinstance(removed, type(container))
assert item not in removed
def test_contains_add_failure():
