bpo-32279: Add additional params to make_dataclass(), pass through to dataclass(). (gh-5117)
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@ -705,7 +705,8 @@ def _astuple_inner(obj, tuple_factory):
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return deepcopy(obj)
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def make_dataclass(cls_name, fields, *, bases=(), namespace=None):
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def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True,
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repr=True, eq=True, order=False, hash=None, frozen=False):
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"""Return a new dynamically created dataclass.
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The dataclass name will be 'cls_name'. 'fields' is an iterable
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@ -723,6 +724,9 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None):
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b: int = field(init=False)
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For the bases and namespace paremeters, see the builtin type() function.
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The parameters init, repr, eq, order, hash, and frozen are passed to
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dataclass().
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"""
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if namespace is None:
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@ -745,8 +749,8 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None):
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namespace['__annotations__'] = anns
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cls = type(cls_name, bases, namespace)
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return dataclass(cls)
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return dataclass(cls, init=init, repr=repr, eq=eq, order=order,
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hash=hash, frozen=frozen)
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def replace(obj, **changes):
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"""Return a new object replacing specified fields with new values.
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@ -2033,6 +2033,23 @@ class TestCase(unittest.TestCase):
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self.assertEqual(C.y, 10)
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self.assertEqual(C.z, 20)
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def test_helper_make_dataclass_other_params(self):
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C = make_dataclass('C',
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[('x', int),
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('y', ClassVar[int], 10),
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('z', ClassVar[int], field(default=20)),
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],
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init=False)
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# Make sure we have a repr, but no init.
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self.assertNotIn('__init__', vars(C))
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self.assertIn('__repr__', vars(C))
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# Make sure random other params don't work.
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with self.assertRaisesRegex(TypeError, 'unexpected keyword argument'):
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C = make_dataclass('C',
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[],
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xxinit=False)
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def test_helper_make_dataclass_no_types(self):
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C = make_dataclass('Point', ['x', 'y', 'z'])
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c = C(1, 2, 3)
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@ -0,0 +1,2 @@
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Add params to dataclasses.make_dataclasses(): init, repr, eq, order, hash,
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and frozen. Pass them through to dataclass().
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