black

Author: olliethomas

numpy-stubs/__init__.pyi

@@ -641,7 +641,13 @@ def mean(a: ndarray[_Float], axis: _AxesType, keepdims: bool = ...) -> ndarray[_
 def mean(
     a: Union[ndarray[_Int], ndarray[bool_]], axis: _AxesType, keepdims: bool = ...
 ) -> ndarray[float64]: ...
-def median(a: ndarray, axis: _IntObj = ..., out: ndarray = ..., overwrite_input: bool = ..., keepdims: bool = ...) -> ndarray[float64]: ...
+def median(
+    a: ndarray,
+    axis: _IntObj = ...,
+    out: ndarray = ...,
+    overwrite_input: bool = ...,
+    keepdims: bool = ...,
+) -> ndarray[float64]: ...
 @overload
 def min(a: ndarray[_DType], axis: None = ...) -> _DType: ...
 @overload
@@ -706,7 +712,7 @@ def tile(a: ndarray[_DType], reps: Union[_NestedList[int], ndarray[_Int]]) -> nd
 def trace(a: ndarray[_DType]) -> _DType: ...
 def transpose(a: ndarray[_DType]) -> ndarray[_DType]: ...
 def tril(m: ndarray[_DType], k: Optional[int] = ...) -> ndarray[_DType]: ...
-def tril_indices(n: _IntObj, k: _IntObj =..., m: _IntObj = ...) -> Tuple[ndarray, ndarray]: ...
+def tril_indices(n: _IntObj, k: _IntObj = ..., m: _IntObj = ...) -> Tuple[ndarray, ndarray]: ...
 def triu(m: ndarray[_DType], k: Optional[int] = ...) -> ndarray[_DType]: ...
 @overload
 def unique(a: ndarray[_DType], axis: Optional[int] = ...) -> ndarray[_DType]: ...

pandas-stubs/testing.pyi

@@ -5,7 +5,10 @@ from .core.series import Series
 from .core.indexes import Index
 
 def assert_frame_equal(
-    left: DataFrame, right: DataFrame, check_like: Optional[bool] = ..., check_exact: Optional[bool] = ...
+    left: DataFrame,
+    right: DataFrame,
+    check_like: Optional[bool] = ...,
+    check_exact: Optional[bool] = ...,
 ) -> None: ...
 def assert_index_equal(left: Index, right: Index) -> None: ...
 def assert_series_equal(left: Series, right: Series) -> None: ...