Fixture fails with "module" scope and numpy array as value #6497
Description
Minimal failing example:
import numpy as np
import pytest
@pytest.fixture(scope="module", params=[0, np.ones(2)])
def my_fixture(request):
return request.param
def test_stuff(my_fixture):
passpytest output:
=============================================== test session starts ================================================
platform linux -- Python 3.8.1, pytest-5.3.3, py-1.8.1, pluggy-0.13.1
rootdir: /home/hkohr/git
collected 2 items
tmp.py .E [100%]
====================================================== ERRORS ======================================================
____________________________________ ERROR at setup of test_stuff[my_fixture1] _____________________________________
cls = <class '_pytest.runner.CallInfo'>, func = <function call_runtest_hook.<locals>.<lambda> at 0x7f8b16fb03a0>
when = 'setup', reraise = (<class '_pytest.outcomes.Exit'>, <class 'KeyboardInterrupt'>)
@classmethod
def from_call(cls, func, when, reraise=None) -> "CallInfo":
#: context of invocation: one of "setup", "call",
#: "teardown", "memocollect"
start = time()
excinfo = None
try:
> result = func()
../miniconda/envs/tmp/lib/python3.8/site-packages/_pytest/runner.py:235:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
../miniconda/envs/tmp/lib/python3.8/site-packages/_pytest/runner.py:208: in <lambda>
lambda: ihook(item=item, **kwds), when=when, reraise=reraise
../miniconda/envs/tmp/lib/python3.8/site-packages/pluggy/hooks.py:286: in __call__
return self._hookexec(self, self.get_hookimpls(), kwargs)
../miniconda/envs/tmp/lib/python3.8/site-packages/pluggy/manager.py:93: in _hookexec
return self._inner_hookexec(hook, methods, kwargs)
../miniconda/envs/tmp/lib/python3.8/site-packages/pluggy/manager.py:84: in <lambda>
self._inner_hookexec = lambda hook, methods, kwargs: hook.multicall(
../miniconda/envs/tmp/lib/python3.8/site-packages/_pytest/runner.py:120: in pytest_runtest_setup
item.session._setupstate.prepare(item)
../miniconda/envs/tmp/lib/python3.8/site-packages/_pytest/runner.py:365: in prepare
col.setup()
../miniconda/envs/tmp/lib/python3.8/site-packages/_pytest/python.py:1449: in setup
fixtures.fillfixtures(self)
../miniconda/envs/tmp/lib/python3.8/site-packages/_pytest/fixtures.py:294: in fillfixtures
request._fillfixtures()
../miniconda/envs/tmp/lib/python3.8/site-packages/_pytest/fixtures.py:473: in _fillfixtures
item.funcargs[argname] = self.getfixturevalue(argname)
../miniconda/envs/tmp/lib/python3.8/site-packages/_pytest/fixtures.py:483: in getfixturevalue
return self._get_active_fixturedef(argname).cached_result[0]
../miniconda/envs/tmp/lib/python3.8/site-packages/_pytest/fixtures.py:499: in _get_active_fixturedef
self._compute_fixture_value(fixturedef)
../miniconda/envs/tmp/lib/python3.8/site-packages/_pytest/fixtures.py:580: in _compute_fixture_value
fixturedef.execute(request=subrequest)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <FixtureDef argname='my_fixture' scope='module' baseid='tmp.py'>
request = <SubRequest 'my_fixture' for <Function test_stuff[my_fixture1]>>
def execute(self, request):
for argname in self._dependee_fixture_argnames(request):
fixturedef = request._get_active_fixturedef(argname)
if argname != "request":
fixturedef.addfinalizer(functools.partial(self.finish, request=request))
my_cache_key = self.cache_key(request)
cached_result = getattr(self, "cached_result", None)
if cached_result is not None:
result, cache_key, err = cached_result
> if my_cache_key == cache_key:
E ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
../miniconda/envs/tmp/lib/python3.8/site-packages/_pytest/fixtures.py:895: ValueError
============================================ 1 passed, 1 error in 0.35s ============================================
I'm not sure if there's a good way to fix this. If not, perhaps the docs should mention that arrays should not be used as parameter values, or only with function scope.