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Nightly Hypothesis tests failed
Python 3.12 Test Summary
properties/test_index_manipulation.py::DatasetTest::runTest: TypeError: cannot pickle '_thread._local' object
Falsifying example:
state = DatasetStateMachine()
state.init_ds(var=Variable(data=array([0], dtype=int32), dims=['0'], attrs={}))
state.assert_invariants()
state.teardown()
Explanation:
These lines were always and only run by failing examples:
/home/runner/micromamba/envs/xarray-tests/lib/python3.12/dataclasses.py:1327
You can reproduce this example by temporarily adding @reproduce_failure('6.135.12', b'AABBAEEAQQFBAIEwQQAAAEEBQQAB') as a decorator on your test case
![github-actions[bot] avatar](https://avatars.githubusercontent.com/in/15368?v=4 "Published by a pub.dev verified publisher"){kind=small}
That's from #8737 and I think the correct behavior. I don't know hypothesis so not sure what to do about this.
@Zac-HD I am seeing this weird traceback locally. It appears for hypothesis >= 6.131.0. Do you know what's going on?
x = <_thread._local object at 0x149990a90>
memo = {5139024512: {'_SearchStrategy__label': 13472932985108582247, 'average_size': 2.5, 'cached_is_cacheable': True, 'cache...d', 'Lm', 'No', 'Lo', 'Lu', 'Ll')), max_size=5), 5528042048: characters(max_codepoint=383, categories=['L', 'N']), ...}
_nil = []
def deepcopy(x, memo=None, _nil=[]):
"""Deep copy operation on arbitrary Python objects.
See the module's __doc__ string for more info.
"""
if memo is None:
memo = {}
d = id(x)
y = memo.get(d, _nil)
if y is not _nil:
return y
cls = type(x)
copier = _deepcopy_dispatch.get(cls)
if copier is not None:
y = copier(x, memo)
else:
if issubclass(cls, type):
y = _deepcopy_atomic(x, memo)
else:
copier = getattr(x, "__deepcopy__", None)
if copier is not None:
y = copier(memo)
else:
reductor = dispatch_table.get(cls)
if reductor:
rv = reductor(x)
else:
reductor = getattr(x, "__reduce_ex__", None)
if reductor is not None:
> rv = reductor(4)
^^^^^^^^^^^
E TypeError: cannot pickle '_thread._local' object
E Falsifying example:
E state = DatasetStateMachine()
E state.init_ds(var=Variable(data=array([0], dtype=int32), dims=['0'], attrs={}))
E state.assert_invariants()
E state.teardown()
E
E You can reproduce this example by temporarily adding @reproduce_failure('6.131.32', b'AABBAEEAQQFBAIEwQQAAAEEBQQAB') as a decorator on your test case
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:151: TypeError
------------------------------------------------------------------------------------- Hypothesis --------------------------------------------------------------------------------------
Trying example:
obj = <[TypeError("cannot pickle '_thread._local' object") raised in repr()] Rule object at 0x1497f6ea0>
def asdict(obj, *, dict_factory=dict):
"""Return the fields of a dataclass instance as a new dictionary mapping
field names to field values.
Example usage::
@dataclass
class C:
x: int
y: int
c = C(1, 2)
assert asdict(c) == {'x': 1, 'y': 2}
If given, 'dict_factory' will be used instead of built-in dict.
The function applies recursively to field values that are
dataclass instances. This will also look into built-in containers:
tuples, lists, and dicts. Other objects are copied with 'copy.deepcopy()'.
"""
if not _is_dataclass_instance(obj):
raise TypeError("asdict() should be called on dataclass instances")
> return _asdict_inner(obj, dict_factory)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/dataclasses.py:1329:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/dataclasses.py:1339: in _asdict_inner
f.name: _asdict_inner(getattr(obj, f.name), dict)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/dataclasses.py:1382: in _asdict_inner
return type(obj)((_asdict_inner(k, dict_factory),
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/dataclasses.py:1383: in <genexpr>
_asdict_inner(v, dict_factory))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/dataclasses.py:1386: in _asdict_inner
return copy.deepcopy(obj)
^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:162: in deepcopy
y = _reconstruct(x, memo, *rv)
^^^^^^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:259: in _reconstruct
state = deepcopy(state, memo)
^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:136: in deepcopy
y = copier(x, memo)
^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:221: in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:162: in deepcopy
y = _reconstruct(x, memo, *rv)
^^^^^^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:259: in _reconstruct
state = deepcopy(state, memo)
^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:136: in deepcopy
y = copier(x, memo)
^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:221: in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:136: in deepcopy
y = copier(x, memo)
^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:221: in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:162: in deepcopy
y = _reconstruct(x, memo, *rv)
^^^^^^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:259: in _reconstruct
state = deepcopy(state, memo)
^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:136: in deepcopy
y = copier(x, memo)
^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:221: in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:162: in deepcopy
y = _reconstruct(x, memo, *rv)
^^^^^^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:259: in _reconstruct
state = deepcopy(state, memo)
^^^^^^^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:136: in deepcopy
y = copier(x, memo)
^^^^^^^^^^^^^^^
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:221: in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
x = <_thread._local object at 0x149990a90>
memo = {5139024512: {'_SearchStrategy__label': 13472932985108582247, 'average_size': 2.5, 'cached_is_cacheable': True, 'cache...d', 'Lm', 'No', 'Lo', 'Lu', 'Ll')), max_size=5), 5528042048: characters(max_codepoint=383, categories=['L', 'N']), ...}
_nil = []
def deepcopy(x, memo=None, _nil=[]):
"""Deep copy operation on arbitrary Python objects.
See the module's __doc__ string for more info.
"""
if memo is None:
memo = {}
d = id(x)
y = memo.get(d, _nil)
if y is not _nil:
return y
cls = type(x)
copier = _deepcopy_dispatch.get(cls)
if copier is not None:
y = copier(x, memo)
else:
if issubclass(cls, type):
y = _deepcopy_atomic(x, memo)
else:
copier = getattr(x, "__deepcopy__", None)
if copier is not None:
y = copier(memo)
else:
reductor = dispatch_table.get(cls)
if reductor:
rv = reductor(x)
else:
reductor = getattr(x, "__reduce_ex__", None)
if reductor is not None:
> rv = reductor(4)
^^^^^^^^^^^
E TypeError: cannot pickle '_thread._local' object
/Users/deepak/miniforge3/envs/xarray-tests/lib/python3.12/copy.py:151: TypeError
