TYPING: --check-untyped-defs util._decorators (pandas-dev#28128)

pandas/core/groupby/generic.py

@@ -833,45 +833,45 @@ def apply(self, func, *args, **kwargs):
         axis="",
     )
     @Appender(_shared_docs["aggregate"])
-    def aggregate(self, func_or_funcs=None, *args, **kwargs):
+    def aggregate(self, func=None, *args, **kwargs):
         _level = kwargs.pop("_level", None)
 
-        relabeling = func_or_funcs is None
+        relabeling = func is None
         columns = None
-        no_arg_message = "Must provide 'func_or_funcs' or named aggregation **kwargs."
+        no_arg_message = "Must provide 'func' or named aggregation **kwargs."
         if relabeling:
             columns = list(kwargs)
             if not PY36:
                 # sort for 3.5 and earlier
                 columns = list(sorted(columns))
 
-            func_or_funcs = [kwargs[col] for col in columns]
+            func = [kwargs[col] for col in columns]
             kwargs = {}
             if not columns:
                 raise TypeError(no_arg_message)
 
-        if isinstance(func_or_funcs, str):
-            return getattr(self, func_or_funcs)(*args, **kwargs)
+        if isinstance(func, str):
+            return getattr(self, func)(*args, **kwargs)
 
-        if isinstance(func_or_funcs, abc.Iterable):
+        if isinstance(func, abc.Iterable):
             # Catch instances of lists / tuples
             # but not the class list / tuple itself.
-            func_or_funcs = _maybe_mangle_lambdas(func_or_funcs)
-            ret = self._aggregate_multiple_funcs(func_or_funcs, (_level or 0) + 1)
+            func = _maybe_mangle_lambdas(func)
+            ret = self._aggregate_multiple_funcs(func, (_level or 0) + 1)
             if relabeling:
                 ret.columns = columns
         else:
-            cyfunc = self._get_cython_func(func_or_funcs)
+            cyfunc = self._get_cython_func(func)
             if cyfunc and not args and not kwargs:
                 return getattr(self, cyfunc)()
 
             if self.grouper.nkeys > 1:
-                return self._python_agg_general(func_or_funcs, *args, **kwargs)
+                return self._python_agg_general(func, *args, **kwargs)
 
             try:
-                return self._python_agg_general(func_or_funcs, *args, **kwargs)
+                return self._python_agg_general(func, *args, **kwargs)
             except Exception:
-                result = self._aggregate_named(func_or_funcs, *args, **kwargs)
+                result = self._aggregate_named(func, *args, **kwargs)
 
             index = Index(sorted(result), name=self.grouper.names[0])
             ret = Series(result, index=index)
@@ -1464,8 +1464,8 @@ class DataFrameGroupBy(NDFrameGroupBy):
         axis="",
     )
     @Appender(_shared_docs["aggregate"])
-    def aggregate(self, arg=None, *args, **kwargs):
-        return super().aggregate(arg, *args, **kwargs)
+    def aggregate(self, func=None, *args, **kwargs):
+        return super().aggregate(func, *args, **kwargs)
 
     agg = aggregate
 

pandas/core/indexes/interval.py

@@ -788,7 +788,7 @@ def _find_non_overlapping_monotonic_bounds(self, key):
         return start, stop
 
     def get_loc(
-        self, key: Any, method: Optional[str] = None
+        self, key: Any, method: Optional[str] = None, tolerance=None
     ) -> Union[int, slice, np.ndarray]:
         """
         Get integer location, slice or boolean mask for requested label.
@@ -982,7 +982,7 @@ def get_indexer_for(self, target: AnyArrayLike, **kwargs) -> np.ndarray:
             List of indices.
         """
         if self.is_overlapping:
-            return self.get_indexer_non_unique(target, **kwargs)[0]
+            return self.get_indexer_non_unique(target)[0]
         return self.get_indexer(target, **kwargs)
 
     @Appender(_index_shared_docs["get_value"] % _index_doc_kwargs)

pandas/core/window/ewm.py

@@ -206,8 +206,8 @@ def _constructor(self):
         axis="",
     )
     @Appender(_shared_docs["aggregate"])
-    def aggregate(self, arg, *args, **kwargs):
-        return super().aggregate(arg, *args, **kwargs)
+    def aggregate(self, func, *args, **kwargs):
+        return super().aggregate(func, *args, **kwargs)
 
     agg = aggregate
 

pandas/core/window/expanding.py

@@ -136,8 +136,8 @@ def _get_window(self, other=None, **kwargs):
         axis="",
     )
     @Appender(_shared_docs["aggregate"])
-    def aggregate(self, arg, *args, **kwargs):
-        return super().aggregate(arg, *args, **kwargs)
+    def aggregate(self, func, *args, **kwargs):
+        return super().aggregate(func, *args, **kwargs)
 
     agg = aggregate
 

pandas/core/window/rolling.py

@@ -901,12 +901,12 @@ def func(arg, window, min_periods=None, closed=None):
         axis="",
     )
     @Appender(_shared_docs["aggregate"])
-    def aggregate(self, arg, *args, **kwargs):
-        result, how = self._aggregate(arg, *args, **kwargs)
+    def aggregate(self, func, *args, **kwargs):
+        result, how = self._aggregate(func, *args, **kwargs)
         if result is None:
 
             # these must apply directly
-            result = arg(self)
+            result = func(self)
 
         return result
 
@@ -1788,8 +1788,8 @@ def _validate_freq(self):
         axis="",
     )
     @Appender(_shared_docs["aggregate"])
-    def aggregate(self, arg, *args, **kwargs):
-        return super().aggregate(arg, *args, **kwargs)
+    def aggregate(self, func, *args, **kwargs):
+        return super().aggregate(func, *args, **kwargs)
 
     agg = aggregate
 

pandas/util/_decorators.py

@@ -1,21 +1,35 @@
 from functools import wraps
 import inspect
 from textwrap import dedent
-from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
+from typing import (
+    Any,
+    Callable,
+    Dict,
+    List,
+    Optional,
+    Tuple,
+    Type,
+    TypeVar,
+    Union,
+    cast,
+)
 import warnings
 
 from pandas._libs.properties import cache_readonly  # noqa
 
+FuncType = Callable[..., Any]
+F = TypeVar("F", bound=FuncType)
+
 
 def deprecate(
     name: str,
-    alternative: Callable,
+    alternative: Callable[..., Any],
     version: str,
     alt_name: Optional[str] = None,
     klass: Optional[Type[Warning]] = None,
     stacklevel: int = 2,
     msg: Optional[str] = None,
-) -> Callable:
+) -> Callable[..., Any]:
     """
     Return a new function that emits a deprecation warning on use.
 
@@ -47,7 +61,7 @@ def deprecate(
     warning_msg = msg or "{} is deprecated, use {} instead".format(name, alt_name)
 
     @wraps(alternative)
-    def wrapper(*args, **kwargs):
+    def wrapper(*args, **kwargs) -> Callable[..., Any]:
         warnings.warn(warning_msg, klass, stacklevel=stacklevel)
         return alternative(*args, **kwargs)
 
@@ -90,9 +104,9 @@ def wrapper(*args, **kwargs):
 def deprecate_kwarg(
     old_arg_name: str,
     new_arg_name: Optional[str],
-    mapping: Optional[Union[Dict, Callable[[Any], Any]]] = None,
+    mapping: Optional[Union[Dict[Any, Any], Callable[[Any], Any]]] = None,
     stacklevel: int = 2,
-) -> Callable:
+) -> Callable[..., Any]:
     """
     Decorator to deprecate a keyword argument of a function.
 
@@ -160,27 +174,27 @@ def deprecate_kwarg(
             "mapping from old to new argument values " "must be dict or callable!"
         )
 
-    def _deprecate_kwarg(func):
+    def _deprecate_kwarg(func: F) -> F:
         @wraps(func)
-        def wrapper(*args, **kwargs):
+        def wrapper(*args, **kwargs) -> Callable[..., Any]:
             old_arg_value = kwargs.pop(old_arg_name, None)
 
-            if new_arg_name is None and old_arg_value is not None:
-                msg = (
-                    "the '{old_name}' keyword is deprecated and will be "
-                    "removed in a future version. "
-                    "Please take steps to stop the use of '{old_name}'"
-                ).format(old_name=old_arg_name)
-                warnings.warn(msg, FutureWarning, stacklevel=stacklevel)
-                kwargs[old_arg_name] = old_arg_value
-                return func(*args, **kwargs)
-
             if old_arg_value is not None:
-                if mapping is not None:
-                    if hasattr(mapping, "get"):
-                        new_arg_value = mapping.get(old_arg_value, old_arg_value)
-                    else:
+                if new_arg_name is None:
+                    msg = (
+                        "the '{old_name}' keyword is deprecated and will be "
+                        "removed in a future version. "
+                        "Please take steps to stop the use of '{old_name}'"
+                    ).format(old_name=old_arg_name)
+                    warnings.warn(msg, FutureWarning, stacklevel=stacklevel)
+                    kwargs[old_arg_name] = old_arg_value
+                    return func(*args, **kwargs)
+
+                elif mapping is not None:
+                    if callable(mapping):
                         new_arg_value = mapping(old_arg_value)
+                    else:
+                        new_arg_value = mapping.get(old_arg_value, old_arg_value)
                     msg = (
                         "the {old_name}={old_val!r} keyword is deprecated, "
                         "use {new_name}={new_val!r} instead"
@@ -198,7 +212,7 @@ def wrapper(*args, **kwargs):
                     ).format(old_name=old_arg_name, new_name=new_arg_name)
 
                 warnings.warn(msg, FutureWarning, stacklevel=stacklevel)
-                if kwargs.get(new_arg_name, None) is not None:
+                if kwargs.get(new_arg_name) is not None:
                     msg = (
                         "Can only specify '{old_name}' or '{new_name}', " "not both"
                     ).format(old_name=old_arg_name, new_name=new_arg_name)
@@ -207,17 +221,17 @@ def wrapper(*args, **kwargs):
                     kwargs[new_arg_name] = new_arg_value
             return func(*args, **kwargs)
 
-        return wrapper
+        return cast(F, wrapper)
 
     return _deprecate_kwarg
 
 
 def rewrite_axis_style_signature(
     name: str, extra_params: List[Tuple[str, Any]]
-) -> Callable:
-    def decorate(func):
+) -> Callable[..., Any]:
+    def decorate(func: F) -> F:
         @wraps(func)
-        def wrapper(*args, **kwargs):
+        def wrapper(*args, **kwargs) -> Callable[..., Any]:
             return func(*args, **kwargs)
 
         kind = inspect.Parameter.POSITIONAL_OR_KEYWORD
@@ -234,8 +248,9 @@ def wrapper(*args, **kwargs):
 
         sig = inspect.Signature(params)
 
-        func.__signature__ = sig
-        return wrapper
+        # https://github.com/python/typing/issues/598
+        func.__signature__ = sig  # type: ignore
+        return cast(F, wrapper)
 
     return decorate
 
@@ -279,18 +294,17 @@ def __init__(self, *args, **kwargs):
 
         self.params = args or kwargs
 
-    def __call__(self, func: Callable) -> Callable:
+    def __call__(self, func: F) -> F:
         func.__doc__ = func.__doc__ and func.__doc__ % self.params
         return func
 
     def update(self, *args, **kwargs) -> None:
         """
         Update self.params with supplied args.
-
-        If called, we assume self.params is a dict.
         """
 
-        self.params.update(*args, **kwargs)
+        if isinstance(self.params, dict):
+            self.params.update(*args, **kwargs)
 
 
 class Appender:
@@ -320,7 +334,7 @@ def __init__(self, addendum: Optional[str], join: str = "", indents: int = 0):
             self.addendum = addendum
         self.join = join
 
-    def __call__(self, func: Callable) -> Callable:
+    def __call__(self, func: F) -> F:
         func.__doc__ = func.__doc__ if func.__doc__ else ""
         self.addendum = self.addendum if self.addendum else ""
         docitems = [func.__doc__, self.addendum]