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gh-82129: Improve annotations for make_dataclass() (#133406)
Co-authored-by: sobolevn <mail@sobolevn.me> Co-authored-by: Carl Meyer <carl@oddbird.net>
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4e498d1e8b
commit
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3 changed files with 97 additions and 12 deletions
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@ -244,6 +244,10 @@ _ATOMIC_TYPES = frozenset({
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property,
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})
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# Any marker is used in `make_dataclass` to mark unannotated fields as `Any`
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# without importing `typing` module.
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_ANY_MARKER = object()
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class InitVar:
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__slots__ = ('type', )
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@ -1591,7 +1595,7 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True,
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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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tp = 'typing.Any'
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tp = _ANY_MARKER
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elif len(item) == 2:
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name, tp, = item
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elif len(item) == 3:
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@ -1610,15 +1614,49 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True,
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seen.add(name)
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annotations[name] = tp
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# We initially block the VALUE format, because inside dataclass() we'll
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# call get_annotations(), which will try the VALUE format first. If we don't
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# block, that means we'd always end up eagerly importing typing here, which
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# is what we're trying to avoid.
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value_blocked = True
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def annotate_method(format):
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def get_any():
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match format:
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case annotationlib.Format.STRING:
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return 'typing.Any'
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case annotationlib.Format.FORWARDREF:
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typing = sys.modules.get("typing")
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if typing is None:
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return annotationlib.ForwardRef("Any", module="typing")
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else:
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return typing.Any
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case annotationlib.Format.VALUE:
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if value_blocked:
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raise NotImplementedError
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from typing import Any
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return Any
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case _:
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raise NotImplementedError
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annos = {
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ann: get_any() if t is _ANY_MARKER else t
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for ann, t in annotations.items()
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}
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if format == annotationlib.Format.STRING:
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return annotationlib.annotations_to_string(annos)
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else:
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return annos
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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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# We use `types.new_class()` instead of simply `type()` to allow dynamic creation
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# of generic dataclasses.
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cls = types.new_class(cls_name, bases, {}, exec_body_callback)
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# For now, set annotations including the _ANY_MARKER.
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cls.__annotate__ = annotate_method
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# For pickling to work, the __module__ variable needs to be set to the frame
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# where the dataclass is created.
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@ -1634,10 +1672,13 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True,
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cls.__module__ = module
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# Apply the normal provided decorator.
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return decorator(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, kw_only=kw_only, slots=slots,
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weakref_slot=weakref_slot)
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cls = decorator(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, kw_only=kw_only, slots=slots,
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weakref_slot=weakref_slot)
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# Now that the class is ready, allow the VALUE format.
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value_blocked = False
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return cls
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def replace(obj, /, **changes):
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@ -5,6 +5,7 @@
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from dataclasses import *
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import abc
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import annotationlib
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import io
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import pickle
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import inspect
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@ -12,6 +13,7 @@ import builtins
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import types
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import weakref
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import traceback
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import sys
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import textwrap
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import unittest
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from unittest.mock import Mock
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@ -25,6 +27,7 @@ import typing # Needed for the string "typing.ClassVar[int]" to work as an
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import dataclasses # Needed for the string "dataclasses.InitVar[int]" to work as an annotation.
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from test import support
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from test.support import import_helper
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# Just any custom exception we can catch.
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class CustomError(Exception): pass
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@ -3754,7 +3757,6 @@ class TestSlots(unittest.TestCase):
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@support.cpython_only
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def test_dataclass_slot_dict_ctype(self):
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# https://github.com/python/cpython/issues/123935
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from test.support import import_helper
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# Skips test if `_testcapi` is not present:
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_testcapi = import_helper.import_module('_testcapi')
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@ -4246,16 +4248,56 @@ class TestMakeDataclass(unittest.TestCase):
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C = make_dataclass('Point', ['x', 'y', 'z'])
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c = C(1, 2, 3)
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self.assertEqual(vars(c), {'x': 1, 'y': 2, 'z': 3})
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self.assertEqual(C.__annotations__, {'x': 'typing.Any',
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'y': 'typing.Any',
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'z': 'typing.Any'})
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self.assertEqual(C.__annotations__, {'x': typing.Any,
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'y': typing.Any,
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'z': typing.Any})
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C = make_dataclass('Point', ['x', ('y', int), 'z'])
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c = C(1, 2, 3)
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self.assertEqual(vars(c), {'x': 1, 'y': 2, 'z': 3})
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self.assertEqual(C.__annotations__, {'x': 'typing.Any',
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self.assertEqual(C.__annotations__, {'x': typing.Any,
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'y': int,
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'z': 'typing.Any'})
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'z': typing.Any})
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def test_no_types_get_annotations(self):
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C = make_dataclass('C', ['x', ('y', int), 'z'])
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self.assertEqual(
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annotationlib.get_annotations(C, format=annotationlib.Format.VALUE),
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{'x': typing.Any, 'y': int, 'z': typing.Any},
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)
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self.assertEqual(
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annotationlib.get_annotations(
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C, format=annotationlib.Format.FORWARDREF),
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{'x': typing.Any, 'y': int, 'z': typing.Any},
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)
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self.assertEqual(
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annotationlib.get_annotations(
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C, format=annotationlib.Format.STRING),
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{'x': 'typing.Any', 'y': 'int', 'z': 'typing.Any'},
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)
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def test_no_types_no_typing_import(self):
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with import_helper.CleanImport('typing'):
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self.assertNotIn('typing', sys.modules)
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C = make_dataclass('C', ['x', ('y', int)])
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self.assertNotIn('typing', sys.modules)
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self.assertEqual(
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C.__annotate__(annotationlib.Format.FORWARDREF),
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{
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'x': annotationlib.ForwardRef('Any', module='typing'),
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'y': int,
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},
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)
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self.assertNotIn('typing', sys.modules)
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for field in fields(C):
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if field.name == "x":
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self.assertEqual(field.type, annotationlib.ForwardRef('Any', module='typing'))
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else:
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self.assertEqual(field.name, "y")
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self.assertIs(field.type, int)
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def test_module_attr(self):
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self.assertEqual(ByMakeDataClass.__module__, __name__)
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@ -0,0 +1,2 @@
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Fix :exc:`NameError` when calling :func:`typing.get_type_hints` on a :func:`dataclasses.dataclass` created by
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:func:`dataclasses.make_dataclass` with un-annotated fields.
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