Recognize new-style attrs decorators in too-few-public-methods check

doc/whatsnew/fragments/9345.false_positive

@@ -0,0 +1,4 @@
+Treat `attrs.define` and `attrs.frozen` as dataclass decorators in
+`too-few-public-methods` check.
+
+Closes #9345

pylint/checkers/design_analysis.py

@@ -92,6 +92,8 @@
 SPECIAL_OBJ = re.compile("^_{2}[a-z]+_{2}$")
 DATACLASSES_DECORATORS = frozenset({"dataclass", "attrs"})
 DATACLASS_IMPORT = "dataclasses"
+ATTRS_DECORATORS = frozenset({"define", "frozen"})
+ATTRS_IMPORT = "attrs"
 TYPING_NAMEDTUPLE = "typing.NamedTuple"
 TYPING_TYPEDDICT = "typing.TypedDict"
 TYPING_EXTENSIONS_TYPEDDICT = "typing_extensions.TypedDict"
@@ -214,6 +216,10 @@ def _is_exempt_from_public_methods(node: astroid.ClassDef) -> bool:
  or DATACLASS_IMPORT in root_locals
  ):
  return True
+ if name in ATTRS_DECORATORS and (
+ root_locals.intersection(ATTRS_DECORATORS) or ATTRS_IMPORT in root_locals
+ ):
+ return True
  return False
 
 

tests/functional/t/too/too_few_public_methods_37.py

@@ -8,6 +8,9 @@
 import typing
 from dataclasses import dataclass
 
+import attrs # pylint: disable=import-error
+from attrs import define, frozen # pylint: disable=import-error
+
 
 @dataclasses.dataclass
 class ScheduledTxSearchModel:
@@ -40,3 +43,27 @@ class Point:
  def to_array(self):
  """Convert to a NumPy array `np.array((x, y, z))`."""
  return self.attr1
+
+
+@define
+class AttrsBarePoint:
+ x: float
+ y: float
+
+
+@frozen
+class AttrsBareFrozenPoint:
+ x: float
+ y: float
+
+
+@attrs.define
+class AttrsQualifiedPoint:
+ x: float
+ y: float
+
+
+@attrs.frozen
+class AttrsQualifiedFrozenPoint:
+ x: float
+ y: float