TYP: annotation of __init__ return type (PEP 484) (misc modules)

doc/make.py

@@ -45,7 +45,7 @@ def __init__(
         single_doc=None,
         verbosity=0,
         warnings_are_errors=False,
-    ):
+    ) -> None:
         self.num_jobs = num_jobs
         self.include_api = include_api
         self.whatsnew = whatsnew

pandas/_config/config.py

@@ -204,7 +204,7 @@ def get_default_val(pat: str):
 class DictWrapper:
     """provide attribute-style access to a nested dict"""
 
-    def __init__(self, d: dict[str, Any], prefix: str = ""):
+    def __init__(self, d: dict[str, Any], prefix: str = "") -> None:
         object.__setattr__(self, "d", d)
         object.__setattr__(self, "prefix", prefix)
 
@@ -248,7 +248,7 @@ def __dir__(self) -> Iterable[str]:
 
 
 class CallableDynamicDoc:
-    def __init__(self, func, doc_tmpl):
+    def __init__(self, func, doc_tmpl) -> None:
         self.__doc_tmpl__ = doc_tmpl
         self.__func__ = func
 
@@ -422,7 +422,7 @@ class option_context(ContextDecorator):
     ...     pass
     """
 
-    def __init__(self, *args):
+    def __init__(self, *args) -> None:
         if len(args) % 2 != 0 or len(args) < 2:
             raise ValueError(
                 "Need to invoke as option_context(pat, val, [(pat, val), ...])."

pandas/_testing/contexts.py

@@ -228,7 +228,7 @@ class RNGContext:
         np.random.randn()
     """
 
-    def __init__(self, seed):
+    def __init__(self, seed) -> None:
         self.seed = seed
 
     def __enter__(self):

pandas/compat/numpy/function.py

@@ -40,7 +40,7 @@ def __init__(
         fname=None,
         method: str | None = None,
         max_fname_arg_count=None,
-    ):
+    ) -> None:
         self.fname = fname
         self.method = method
         self.defaults = defaults

pandas/conftest.py

@@ -447,7 +447,7 @@ def dict_subclass():
     """
 
     class TestSubDict(dict):
-        def __init__(self, *args, **kwargs):
+        def __init__(self, *args, **kwargs) -> None:
             dict.__init__(self, *args, **kwargs)
 
     return TestSubDict
@@ -460,7 +460,7 @@ def non_dict_mapping_subclass():
     """
 
     class TestNonDictMapping(abc.Mapping):
-        def __init__(self, underlying_dict):
+        def __init__(self, underlying_dict) -> None:
             self._data = underlying_dict
 
         def __getitem__(self, key):
@@ -1709,7 +1709,7 @@ class TestMemoryFS(MemoryFileSystem):
         protocol = "testmem"
         test = [None]
 
-        def __init__(self, **kwargs):
+        def __init__(self, **kwargs) -> None:
             self.test[0] = kwargs.pop("test", None)
             super().__init__(**kwargs)
 

pandas/errors/__init__.py

@@ -186,7 +186,7 @@ class AbstractMethodError(NotImplementedError):
     while keeping compatibility with Python 2 and Python 3.
     """
 
-    def __init__(self, class_instance, methodtype="method"):
+    def __init__(self, class_instance, methodtype="method") -> None:
         types = {"method", "classmethod", "staticmethod", "property"}
         if methodtype not in types:
             raise ValueError(

pandas/tseries/frequencies.py

@@ -209,7 +209,7 @@ class _FrequencyInferer:
     Not sure if I can avoid the state machine here
     """
 
-    def __init__(self, index, warn: bool = True):
+    def __init__(self, index, warn: bool = True) -> None:
         self.index = index
         self.i8values = index.asi8
 

pandas/tseries/holiday.py

@@ -160,7 +160,7 @@ def __init__(
         start_date=None,
         end_date=None,
         days_of_week=None,
-    ):
+    ) -> None:
         """
         Parameters
         ----------
@@ -393,7 +393,7 @@ class AbstractHolidayCalendar(metaclass=HolidayCalendarMetaClass):
     end_date = Timestamp(datetime(2200, 12, 31))
     _cache = None
 
-    def __init__(self, name=None, rules=None):
+    def __init__(self, name=None, rules=None) -> None:
         """
         Initializes holiday object with a given set a rules.  Normally
         classes just have the rules defined within them.

scripts/validate_docstrings.py

@@ -136,7 +136,7 @@ def get_api_items(api_doc_fd):
 
 
 class PandasDocstring(Validator):
-    def __init__(self, func_name: str, doc_obj=None):
+    def __init__(self, func_name: str, doc_obj=None) -> None:
         self.func_name = func_name
         if doc_obj is None:
             doc_obj = get_doc_object(Validator._load_obj(func_name))