`__module__` is not defined, seeming to contradict the Python Data Model.

[mike-matera]

Bug report

Bug description:

The __module__ variable might not be defined.

This is an update to the original bug post. After some investigation this doesn't seem like a bug in unittest. Here's a simple test case that shows a situation where __module__ is not defined:

test_str = """
class MyClass:
    pass

Derived = type("Derived", (MyClass,), {})
"""

test_ns = {}
exec(test_str, test_ns)
print("__module__ exists:", hasattr(test_ns["Derived"], "__module__"))
print("Module for drived:", test_ns["Derived"].__module__)

The original bug post is below:

cpython/Lib/unittest/loader.py

Line 220 in 03fa2df

testCaseClass.__module__, testCaseClass.__qualname__, attrname

The default test loader depends on __module__ being present. In rare cases it may not be. I encountered a crash when running unit tests using a Jupyter cell magic. The line should probably be:

            fullName = f'%s.%s.%s' % (
                testCaseClass.__module__ if hasattr(testCaseClass, "__module__") else "None", testCaseClass.__qualname__, attrname
            )

This problem has cropped up in bug reports for other projects. For example:

ray-project/ray#4758
https://gitlab.orekit.org/orekit-labs/python-wrapper/-/issues/411

Thank you for the wonderful work!

CPython versions tested on:

3.12

Operating systems tested on:

Linux

Linked PRs

• gh-120857: add a temporary global __name__ within exec #120957
• gh-120857: set __module__ to None for class created with unavailable module #120979

[terryjreedy]

Have you verified that the test works as expected with the suggested fix?

The Data model section, seems to me to suggest that __module__ should always be present for class, function, or method. The entries for the latter two explicitly say or None if unavailable. In other words, if there is no module name is some esoteric setting, assign None. This is similar to setting __doc__ to None when there is no docstring. I have never used Jupiter, but it should be able to fix this.

[mike-matera]

Hi @terryjreedy.

Thanks for looking at this. I was able to reproduce the problem outside of Jupyter:

import unittest

test_str = """
import unittest

class MyTest(unittest.TestCase):

    def test_add(self):
        self.assertEqual(1+2, 3)

derived = type("DerivedTest", (MyTest,), {})
"""

test_ns = {}
exec(test_str, test_ns)
suite = unittest.TestSuite()
suite.addTest(unittest.defaultTestLoader.loadTestsFromTestCase(test_ns["derived"]))
runner = unittest.TextTestRunner()
runner.run(suite)

I have not tested my fix. Sorry. I'll work on that but, in the meantime, I hope this example helps!

[mike-matera]

Here's a simpler test case. You don't need unittest at all to see this:

test_str = """
class MyClass:
    pass

Derived = type("Derived", (MyClass,), {})
"""

test_ns = {}
exec(test_str, test_ns)
print("__module__ exists:", hasattr(test_ns["Derived"], "__module__"))
print("Module for drived:", test_ns["Derived"].__module__)

I agree with what you're saying about the Data Model section of the document. It seems like __module__ should always be defined or None. Maybe this isn't a bug with unittest at all. I tested my suggested fix but it doesn't work because there are other references to __module__ in the unittest framework that failed.

[picnixz]

Maybe it could be useful but test_ns['MyClass'].__module__ is set to 'builtins'. But I'm not sure it should be set as such because we are exec'ing in the __main__ module IMO.

However, when you do something like:

m = types.ModuleType('foo')
exec(test_str, m.__dict__)

then, MyClass.__module__ and Derived.__module__ are set to 'foo'.

[picnixz]

Mmh.. the fix I'm trying to do is a bit tricky. Actually, we have

>>> blts = builtins.__dict__.copy()
>>> del blts['__name__']
>>> exec("class A: pass\nB=type('B', (A,), {})", {'__builtins__': blts})
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "<string>", line 1, in <module>
  File "<string>", line 1, in A
NameError: name '__name__' is not defined

@JelleZijlstra What should we do? normally, you can specify your own builtins but if you do so, you'll need the __name__ as well. However, you would still have something like:

>>> exec("class A: pass\nB=type('B', (A,), {})", ns := {}); ns['B'].__module__
...
AttributeError: __module__. Did you mean: '__reduce__'?

and this indeed contradicts the data model.

[JelleZijlstra]

Here's a smaller reproducer:

>>> ns = {}
>>> exec("X = type('X', (), {})", ns)
>>> ns["X"].__module__
Traceback (most recent call last):
  File "<python-input-8>", line 1, in <module>
    ns["X"].__module__
AttributeError: __module__. Did you mean: '__reduce__'?

Or similarly:

>>> del __name__
>>> X = type('X', (), {})
>>> X.__module__
Traceback (most recent call last):
  File "<python-input-2>", line 1, in <module>
    X.__module__
AttributeError: __module__. Did you mean: '__reduce__'?

It is also possible to set __module__ to a non-str:

>>> class X: pass
... 
>>> X.__module__ = 42
>>> X.__module__
42

Not sure what to do about this; some options:

• Amend https://docs.python.org/3/reference/datamodel.html#custom-classes to say that the __module__ attribute may be missing. Code that assumes it always exists is buggy and should be changed. That's the least change to the status quo, but I generally feel attributes that exist only sometimes are a nuisance.
• Change the type.__module__ descriptor so it does something other than raising AttributeError if it can't find cls.__dict__["__module__"]: perhaps returning None, or a special string. A special string would be annoying if code assumes that it can do sys.modules[cls.__module__]; None is disruptive to those who assume that cls.__module__ is always a string.

[picnixz]

Yes... I had thought of those options and then I remembered that I needed to take into account the change in Sphinx, which I was not really happy about.

In fact, we also have this behaviour:

>>> del __name__
>>> class A: pass
...
>>> A.__module__
'builtins'

So... does it make sense for type to behave similarly?

[JelleZijlstra]

The reason for that is that inside the class body we inject code that is essentially __module__ = __name__, where __name__ is looked up like a regular global variable. If it's not in the globals, we fall back to the builtins, and builtins.__name__ is builtins.

That behavior feels buggy too, though, and I'd rather not expand it further. Your class A isn't in the builtins module.

[picnixz]

Your class A isn't in the builtins module

I think we also had quite a lot of if-branches in Sphinx for this kind of "fake builtins that are not builtins". I've tried a PR where I inject the __name__ to the globals of exec but I kept the weird 'builtins' choice as well. Ideally, I would have liked to be able to set the module's name to something like ? or None but I felt this could break many things (well the PR still broke things so I don't think it's the way to go).

Maybe having __module__ = None is the best solution. It reflects what the module's name is actually and is closer to a function's module behaviour.