Merge branch 'main' into TYP_io

Author: nafarya

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/core/generic.py

@@ -2956,7 +2956,7 @@ def to_sql(
     )
     def to_pickle(
         self,
-        path,
+        path: FilePath | WriteBuffer[bytes],
         compression: CompressionOptions = "infer",
         protocol: int = pickle.HIGHEST_PROTOCOL,
         storage_options: StorageOptions = None,
@@ -2966,8 +2966,10 @@ def to_pickle(
 
         Parameters
         ----------
-        path : str
-            File path where the pickled object will be stored.
+        path : str, path object, or file-like object
+            String, path object (implementing ``os.PathLike[str]``), or file-like
+            object implementing a binary ``write()`` function. File path where
+            the pickled object will be stored.
         {compression_options}
         protocol : int
             Int which indicates which protocol should be used by the pickler,

pandas/core/indexes/multi.py

@@ -1088,9 +1088,7 @@ def _engine(self):
         # equivalent to sorting lexicographically the codes themselves. Notice
         # that each level needs to be shifted by the number of bits needed to
         # represent the _previous_ ones:
-        offsets = np.concatenate([lev_bits[1:], [0]]).astype(  # type: ignore[arg-type]
-            "uint64"
-        )
+        offsets = np.concatenate([lev_bits[1:], [0]]).astype("uint64")
 
         # Check the total number of bits needed for our representation:
         if lev_bits[0] > 64:

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/tests/base/test_constructors.py

@@ -51,7 +51,7 @@ def bar(self, *args, **kwargs):
             pass
 
     class Delegate(PandasDelegate, PandasObject):
-        def __init__(self, obj):
+        def __init__(self, obj) -> None:
             self.obj = obj
 
     def test_invalid_delegation(self):

pandas/tests/dtypes/test_inference.py

@@ -91,7 +91,7 @@ class MockNumpyLikeArray:
     a scalar (`is_scalar(np.array(1)) == False`), but it is not list-like either.
     """
 
-    def __init__(self, values):
+    def __init__(self, values) -> None:
         self._values = values
 
     def __iter__(self):
@@ -323,7 +323,7 @@ def test_is_dict_like_fails(ll):
 @pytest.mark.parametrize("has_contains", [True, False])
 def test_is_dict_like_duck_type(has_keys, has_getitem, has_contains):
     class DictLike:
-        def __init__(self, d):
+        def __init__(self, d) -> None:
             self.d = d
 
         if has_keys:
@@ -1937,7 +1937,7 @@ def test_is_scalar_number(self):
         #  subclasses are.
 
         class Numeric(Number):
-            def __init__(self, value):
+            def __init__(self, value) -> None:
                 self.value = value
 
             def __int__(self):