mirror of https://github.com/python/cpython
Remove an unnecessary copy of the 'namespace' parameter to make_dataclass(). (GH-25372)
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@ -1233,14 +1233,12 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True,
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if namespace is None:
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namespace = {}
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else:
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# Copy namespace since we're going to mutate it.
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namespace = namespace.copy()
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# While we're looking through the field names, validate that they
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# are identifiers, are not keywords, and not duplicates.
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seen = set()
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anns = {}
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annotations = {}
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defaults = {}
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for item in fields:
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if isinstance(item, str):
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name = item
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@ -1249,7 +1247,7 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True,
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name, tp, = item
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elif len(item) == 3:
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name, tp, spec = item
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namespace[name] = spec
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defaults[name] = spec
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else:
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raise TypeError(f'Invalid field: {item!r}')
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@ -1261,12 +1259,19 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True,
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raise TypeError(f'Field name duplicated: {name!r}')
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seen.add(name)
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anns[name] = tp
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annotations[name] = tp
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# Update 'ns' with the user-supplied namespace plus our calculated values.
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def exec_body_callback(ns):
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ns.update(namespace)
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ns.update(defaults)
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ns['__annotations__'] = annotations
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namespace['__annotations__'] = anns
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# We use `types.new_class()` instead of simply `type()` to allow dynamic creation
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# of generic dataclassses.
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cls = types.new_class(cls_name, bases, {}, lambda ns: ns.update(namespace))
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cls = types.new_class(cls_name, bases, {}, exec_body_callback)
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# Apply the normal decorator.
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return dataclass(cls, init=init, repr=repr, eq=eq, order=order,
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unsafe_hash=unsafe_hash, frozen=frozen,
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match_args=match_args)
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@ -0,0 +1,2 @@
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Remove an unneeded copy of the namespace passed to
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dataclasses.make_dataclass().
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